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| backward sensitivity analysis software is used for: Management Information Systems Kenneth C. Laudon, Jane Price Laudon, 2002 M̀anagement Information Systems' contains a wealth of pedagogical features to facilitate student comprehension, helping to review and reinforce key concepts, as well as promoting problem-solving skills. |
| backward sensitivity analysis software is used for: Essentials of Management Information Systems Kenneth C. Laudon, Jane Price Laudon, 2003 Appropriate for both undergraduate and MBA students, this textbook examines the role of information systems in business and management. The authors describe the organizational and technical foundations of information systems, decision support systems, and the process of redesigning an organization. The fifth edition is reorganized to focus on the use of the internet to digitally enable business processes. Annotation copyrighted by Book News, Inc., Portland, OR |
| backward sensitivity analysis software is used for: Lectures on Finite Precision Computations Francoise Chaitin-Chatelin, Valerie Fraysse, 1996-01-01 Mathematics of Computing -- Numerical Analysis. |
| backward sensitivity analysis software is used for: Sensitivity Analysis in Practice Andrea Saltelli, Stefano Tarantola, Francesca Campolongo, Marco Ratto, 2004-07-16 Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis. |
| backward sensitivity analysis software is used for: Static Analysis Antoine Mine, David Schmidt, 2012-08-30 This book constitutes the thoroughly refereed proceedings of the 19th International Symposium on Static Analysis, SAS 2012, held in Deauville, France, in September 2012. The 25 revised full papers presented together with 4 invited talks were selected from 62 submissions. The papers address all aspects of static analysis, including abstract domains, abstract interpretation, abstract testing, bug detection, data flow analysis, model checking, new applications, program transformation, program verification, security analysis, theoretical frameworks, and type checking. |
| backward sensitivity analysis software is used for: ActiveBook, Management Information Systems Kenneth C. Laudon, Jane Price Laudon, 2003-08 |
| backward sensitivity analysis software is used for: Organization and Decision Theory Ira Horowitz, 2012-12-06 Ira Horowitz Depending upon one's perspective, the need to choose among alternatives can be an unwelcome but unavoidable responsibility, an exciting and challenging opportunity, a run-of-the-mill activity that one performs seem ingly without thinking very much about it, or perhaps something in between. Your most recent selections from a restaurant menu, from a set of jobs or job candidates, or from a rent-or-buy or sell-or-Iease option, are cases in point. Oftentimes we are involved in group decision processes, such as the choice of a president, wherein one group member's unwelcome responsibility is another's exciting opportunity. Many of us that voted in the presidential elections of both 1956 and 1984, irrespective of political affiliation, experienced both emotions; others just pulled the lever or punched the card without thinking very much about it. Arriving at either an individual or a group decision can sometimes be a time consuming, torturous, and traumatic process that results in a long regretted choice that could have been reached right off the bat. On other occasions, the just let's get it over with and get out of here solution to a long-festering problem can yield rewards that are reaped for many 1 ORGANIZATION AND DECISION THEORY 2 years to come. One way or another, however, individuals and organiza tions somehow manage to get the decision-making job done, even if they don't quite understand, and often question, just how this was accomplished. |
| backward sensitivity analysis software is used for: Chemistry and Physics of Energetic Materials S.N. Bulusu, 2012-12-06 This book represents a collection of lectures presented at the NATO Advanced study Institute(ASI) on Chemistry & Physics of the Molecular Processes in Energetic Materials, held at Hotel Torre Normanna, Altavilla Milicia, Sicily, Italy, September 3 to 15, 1989. The institute was attended by seventy participants including twenty lecturers, drawn from thirteen countries. The purpose of the institute was to review the major ad vances made in recent years in the theoretical and experi mental aspects of explosives and propellants. In accordance with the format of the NATO ASI, it was arranged to have a relatively small number of speakers to present in depth, re view type lectures emphasizing the basic research aspects of the subject, over a two week period. Most of the speakers gave two lectures, each in excess of one hour with addition al time for discussions. The scope of the meeting was limit ed to molecular and spectroscopic studies since the hydro dynamic aspects of detonation and various performance crite ria of energetic materials are often covered adequately in other international meetings. An attempt was made to have a coherent presentation of various theoretical, computational and spectroscopic approaches to help a better understanding of energetic materials from a molecular point of view. The progress already made in these areas is such that structure property (e. g. |
| backward sensitivity analysis software is used for: Global Sensitivity Analysis Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola, 2008-02-28 Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. Features numerous exercises and solved problems to help illustrate the applications. Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging. |
| backward sensitivity analysis software is used for: Scientific and Engineering Computations for the 21st Century - Methodologies and Applications M. Mori, T. Mitsui, 2002-12-03 The 20th century saw tremendous achievements and progress in science and technology. Undoubtedly, computers and computer-related technologies acted as one of vital catalysts for accelerating this progress in the latter half of the century. The contributions of mathematical sciences have been equally profound, and the synergy between mathematics and computer science has played a key role in accelerating the progress of both fields as well as science and engineering. Mathematical sciences will undoubtedly continue to play this vital role in this new century. In particular, mathematical modeling and numerical simulation will continue to be among the essential methodologies for solving massive and complex problems that arise in science, engineering and manufacturing. Underpinning this all from a sound, theoretical perspective will be numerical algorithms. In recognition of this observation, this volume focuses on the following specific topics. (1) Fundamental numerical algorithms (2) Applications of numerical algorithms (3) Emerging technologies. The articles included in this issue by experts on advanced scientific and engineering computations from numerous countries elucidate state-of-the-art achievements in these three topics from various angles and suggest the future directions. Although we cannot hope to cover all the aspects in scientific and engineering computations, we hope that the articles will interest, inform and inspire members of the science and engineering community. |
| backward sensitivity analysis software is used for: Experimental Methods in Wastewater Treatment Mark C. M. van Loosdrecht, Per Halkjaer Nielsen, C. M. Lopez-Vazquez, Damir Brdjanovic, 2016-05-15 Over the past twenty years, the knowledge and understanding of wastewater treatment has advanced extensively and moved away from empirically based approaches to a fundamentally-based first principles approach embracing chemistry, microbiology, and physical and bioprocess engineering, often involving experimental laboratory work and techniques. Many of these experimental methods and techniques have matured to the degree that they have been accepted as reliable tools in wastewater treatment research and practice. For sector professionals, especially a new generation of young scientists and engineers entering the wastewater treatment profession, the quantity, complexity and diversity of these new developments can be overwhelming, particularly in developing countries where access to advanced level laboratory courses in wastewater treatment is not readily available. In addition, information on innovative experimental methods is scattered across scientific literature and only partially available in the form of textbooks or guidelines. This book seeks to address these deficiencies. It assembles and integrates the innovative experimental methods developed by research groups and practitioners around the world. Experimental Methods in Wastewater Treatment forms part of the internet-based curriculum in wastewater treatment at UNESCO-IHE and, as such, may also be used together with video records of experimental methods performed and narrated by the authors including guidelines on what to do and what not to do. The book is written for undergraduate and postgraduate students, researchers, laboratory staff, plant operators, consultants, and other sector professionals. |
| backward sensitivity analysis software is used for: Dhaka University Journal of Business Studies , 2004-12-02 |
| backward sensitivity analysis software is used for: Ordinary Differential Equations and Integral Equations C.T.H. Baker, G. Monegato, G. vanden Berghe, 2001-06-20 /homepage/sac/cam/na2000/index.html7-Volume Set now available at special set price ! This volume contains contributions in the area of differential equations and integral equations. Many numerical methods have arisen in response to the need to solve real-life problems in applied mathematics, in particular problems that do not have a closed-form solution. Contributions on both initial-value problems and boundary-value problems in ordinary differential equations appear in this volume. Numerical methods for initial-value problems in ordinary differential equations fall naturally into two classes: those which use one starting value at each step (one-step methods) and those which are based on several values of the solution (multistep methods).John Butcher has supplied an expert's perspective of the development of numerical methods for ordinary differential equations in the 20th century. Rob Corless and Lawrence Shampine talk about established technology, namely software for initial-value problems using Runge-Kutta and Rosenbrock methods, with interpolants to fill in the solution between mesh-points, but the 'slant' is new - based on the question, How should such software integrate into the current generation of Problem Solving Environments?Natalia Borovykh and Marc Spijker study the problem of establishing upper bounds for the norm of the nth power of square matrices.The dynamical system viewpoint has been of great benefit to ODE theory and numerical methods. Related is the study of chaotic behaviour.Willy Govaerts discusses the numerical methods for the computation and continuation of equilibria and bifurcation points of equilibria of dynamical systems.Arieh Iserles and Antonella Zanna survey the construction of Runge-Kutta methods which preserve algebraic invariant functions.Valeria Antohe and Ian Gladwell present numerical experiments on solving a Hamiltonian system of Hénon and Heiles with a symplectic and a nonsymplectic method with a variety of precisions and initial conditions.Stiff differential equations first became recognized as special during the 1950s. In 1963 two seminal publications laid to the foundations for later development: Dahlquist's paper on A-stable multistep methods and Butcher's first paper on implicit Runge-Kutta methods.Ernst Hairer and Gerhard Wanner deliver a survey which retraces the discovery of the order stars as well as the principal achievements obtained by that theory.Guido Vanden Berghe, Hans De Meyer, Marnix Van Daele and Tanja Van Hecke construct exponentially fitted Runge-Kutta methods with s stages.Differential-algebraic equations arise in control, in modelling of mechanical systems and in many other fields.Jeff Cash describes a fairly recent class of formulae for the numerical solution of initial-value problems for stiff and differential-algebraic systems.Shengtai Li and Linda Petzold describe methods and software for sensitivity analysis of solutions of DAE initial-value problems.Again in the area of differential-algebraic systems, Neil Biehn, John Betts, Stephen Campbell and William Huffman present current work on mesh adaptation for DAE two-point boundary-value problems.Contrasting approaches to the question of how good an approximation is as a solution of a given equation involve (i) attempting to estimate the actual error (i.e., the difference between the true and the approximate solutions) and (ii) attempting to estimate the defect - the amount by which the approximation fails to satisfy the given equation and any side-conditions.The paper by Wayne Enright on defect control relates to carefully analyzed techniques that have been proposed both for ordinary differential equations and for delay differential equations in which an attempt is made to control an estimate of the size of the defect.Many phenomena incorporate noise, and the numerical solution of |
| backward sensitivity analysis software is used for: Novel Finite Element Technologies for Solids and Structures Jörg Schröder, Paulo de Mattos Pimenta, 2019-11-26 This book presents new ideas in the framework of novel, finite element discretization schemes for solids and structure, focusing on the mechanical as well as the mathematical background. It also explores the implementation and automation aspects of these technologies. Furthermore, the authors highlight recent developments in mixed finite element formulations in solid mechanics as well as novel techniques for flexible structures at finite deformations. The book also describes automation processes and the application of automatic differentiation technique, including characteristic problems, automatic code generation and code optimization. The combination of these approaches leads to highly efficient numerical codes, which are fundamental for reliable simulations of complicated engineering problems. These techniques are used in a wide range of applications from elasticity, viscoelasticity, plasticity, and viscoplasticity in classical engineering disciplines, such as civil and mechanical engineering, as well as in modern branches like biomechanics and multiphysics. |
| backward sensitivity analysis software is used for: A Century of Excellence in Measurements, Standards, and Technology David R. Lide, 2018-02-06 Established by Congress in 1901, the National Bureau of Standards (NBS), now the National Institute of Standards and Technology (NIST), has a long and distinguished history as the custodian and disseminator of the United States' standards of physical measurement. Having reached its centennial anniversary, the NBS/NIST reflects on and celebrates its first century with this book describing some of its seminal contributions to science and technology. Within these pages are 102 vignettes that describe some of the Institute's classic publications. Each vignette relates the context in which the publication appeared, its impact on science, technology, and the general public, and brief details about the lives and work of the authors. The groundbreaking works depicted include: A breakthrough paper on laser-cooling of atoms below the Doppler limit, which led to the award of the 1997 Nobel Prize for Physics to William D. Phillips The official report on the development of the radio proximity fuse, one of the most important new weapons of World War II The 1932 paper reporting the discovery of deuterium in experiments that led to Harold Urey's1934 Nobel Prize for Chemistry A review of the development of the SEAC, the first digital computer to employ stored programs and the first to process images in digital form The first paper demonstrating that parity is not conserved in nuclear physics, a result that shattered a fundamental concept of theoretical physics and led to a Nobel Prize for T. D. Lee and C. Y. Yang Observation of Bose-Einstein Condensation in a Dilute Atomic Vapor, a 1995 paper that has already opened vast new areas of research A landmark contribution to the field of protein crystallography by Wlodawer and coworkers on the use of joint x-ray and neutron diffraction to determine the structure of proteins |
| backward sensitivity analysis software is used for: NIST Special Publication , 1988 |
| backward sensitivity analysis software is used for: 10th International Symposium on Process Systems Engineering Rita Maria de Brito Alves, Cláudio Augusto Oller do Nascimento, Evaristo Chalbaud Biscaia (Jr), 2009 The 10th International Symposium on Process Systems Engineering, PSE'09, will be held in Salvador-Bahia, Brazil on August 16-20, 2009. The special focus of PSE 2009 is Sustainability, Energy and Engineering. PSE 2009 is the tenth in the triennial series of international symposia on process systems engineering initiated in 1982. The meeting is brings together the worldwide PSE community of researchers and practitioners who are involved in the creation and application of computing-based methodologies for planning, design, operation, control and maintenance of chemical and petrochemical process industries. PSE'09 will look at how the PSE methods and tools can support sustainable resource systems and emerging technologies in the areas of green engineering: environmentally conscious design of industrial processes. PSE methods and tools support: - sustainable resource systems - emerging technologies in the areas of green engineering - environmentally conscious design of industrial processes |
| backward sensitivity analysis software is used for: Accuracy and Reliability in Scientific Computing Bo Einarsson, 2005-01-01 Numerical software is used to test scientific theories, design airplanes and bridges, operate manufacturing lines, control power plants and refineries, analyze financial derivatives, identify genomes, and provide the understanding necessary to derive and analyze cancer treatments. Because of the high stakes involved, it is essential that results computed using software be accurate, reliable, and robust. Unfortunately, developing accurate and reliable scientific software is notoriously difficult. This book investigates some of the difficulties related to scientific computing and provides insight into how to overcome them and obtain dependable results. The tools to assess existing scientific applications are described, and a variety of techniques that can improve the accuracy and reliability of newly developed applications is discussed. Accuracy and Reliability in Scientific Computing can be considered a handbook for improving the quality of scientific computing. It will help computer scientists address the problems that affect software in general as well as the particular challenges of numerical computation: approximations occurring at all levels, continuous functions replaced by discretized versions, infinite processes replaced by finite ones, and real numbers replaced by finite precision numbers. Divided into three parts, it starts by illustrating some of the difficulties in producing robust and reliable scientific software. Well-known cases of failure are reviewed and the what and why of numerical computations are considered. The second section describes diagnostic tools that can be used to assess the accuracy and reliability of existing scientific applications. In the last section, the authors describe a variety of techniques that can be employed to improve the accuracy and reliability of newly developed scientific applications. The authors of the individual chapters are international experts, many of them members of the IFIP Working Group on Numerical Software. |
| backward sensitivity analysis software is used for: Secondary Analysis of Electronic Health Records MIT Critical Data, 2016-09-09 This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients. |
| backward sensitivity analysis software is used for: PC Mag , 1985-02-05 PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology. |
| backward sensitivity analysis software is used for: Tools and Algorithms for the Construction and Analysis of Systems Bernd Finkbeiner, |
| backward sensitivity analysis software is used for: Bayesian Networks for Reliability Engineering Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang, 2019-02-28 This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering. |
| backward sensitivity analysis software is used for: Topics in Modal Analysis, Volume 10 Michael Mains, 2015-04-15 Topics in Modal Analysis, Volume 10: Proceedings of the 33rd IMAC, A Conference and Exposition on Structural Dynamics, 2015, the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Experimental Techniques Processing Modal Data Rotating Machinery Acoustics Adaptive Structures Biodynamics Damping |
| backward sensitivity analysis software is used for: PC Mag , 1984-10-02 PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology. |
| backward sensitivity analysis software is used for: Thermal Behaviour and Applications of Carbon-Based Nanomaterials Dimitrios V. Papavassiliou, Hai M. Duong, Feng Gong, 2020-04-01 Nanocomposites with Carbon-based nanofillers (e.g., carbon nanotubes, graphene sheets and nanoribbons etc.) form a class of extremely promising materials for thermal applications. In addition to exceptional material properties, the thermal conductivity of the carbon-based nanofillers can be higher than any other known material, suggesting the possibility to engineer nanocomposites that are both lightweight and durable, and have unique thermal properties. This potential is hindered by thermal boundary resistance (TBR) to heat transfer at the interface between nanoinclusions and the matrix, and by the difficulty to control the dispersion pattern and the orientation of the nanoinclusions. Thermal Behaviour and Applications of Carbon-Based Nanomaterials: Theory, Methods and Applications explores heat transfer in nanocomposites, discusses techniques predicting and modeling the thermal behavior of carbon nanocomposites at different scales, and methods for engineering applications of nanofluidics and heat transfer. The chapters combine theoretical explanation, experimental methods and computational analysis to show how carbon-based nanomaterials are being used to optimise heat transfer. The applications-focused emphasis of this book makes it a valuable resource for materials scientists and engineers who want to learn more about nanoscale heat transfer. |
| backward sensitivity analysis software is used for: Advances in Design Optimization H. Adeli, 2002-09-11 This book summarizes advances in a number of fundamental areas of optimization with application in engineering design. The selection of the 'best' or 'optimum' design has long been a major concern of designers and in recent years interest has grown in applying mathematical optimization techniques to design of large engineering and industrial systems, and in using the computer-aided design packages with optimization capabilities which are now available. |
| backward sensitivity analysis software is used for: Scientific and Technical Aerospace Reports , 1992 |
| backward sensitivity analysis software is used for: 32nd European Symposium on Computer Aided Process Engineering Ludovic Montastruc, Stephane Negny, 2022-06-30 32nd European Symposium on Computer Aided Process Engineering: ESCAPE-32 contains the papers presented at the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Toulouse, France. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants for chemical industries who work in process development and design. - Presents findings and discussions from the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event |
| backward sensitivity analysis software is used for: Advances in Computers Marvin Zelkowitz, 2004-07-20 Advances in Computers covers new developments in computer technology. Most chapters present an overview of a current subfield within computer science, with many citations, and often include new developments in the field by the authors of the individual chapters. Topics include hardware, software, theoretical underpinnings of computing, and novel applications of computers. This volume emphasizes software engineering issues in the design of new software systems. The use of the new emerging agile methods is presented as well as timeboxing and model based software engineering (MBASE) as techniques to manage large scale developments. The book series is a valuable addition to university courses that emphasize the topics under discussion in that particular volume as well as belonging on the bookshelf of industrial practitioners who need to implement many of the technologies that are described. - In-depth surveys and tutorials on new computer technology - Well-known authors and researchers in the field - Extensive bibliographies with most chapters - Important chapters on new technologies for software development: agile methods, time boxing, MBASE |
| backward sensitivity analysis software is used for: Responsible Manufacturing Ammar Y. Alqahtani, Elif Kongar, Kishore K. Pochampally, Surendra M. Gupta, 2019-02-25 Responsible Manufacturing has become an obligation to the environment and to society itself, enforced primarily by customer perspective and governmental regulations on environmental issues. This is mainly driven by the escalating deterioration of the environment, such as diminishing raw material resources, overflowing waste sites, and increasing levels of pollution. Responsible Manufacturing related issues have found a large following in industry and academia, which aim to find solutions to the problems that arise in this newly emerged research area. Problems are widespread, including the ones related to the lifecycle of products, disassembly, material recovery, remanufacturing, and pollution prevention. Organized into sixteen chapters, this book provides a foundation for academicians and practitioners, and addresses several important issues faced by strategic, tactical, and operation planners of Responsible Manufacturing. Using efficient models in a variety of decision-making situations, it provides easy-to-use mathematical and/or simulation modeling-based solution methodologies for the majority of the issues. Features Addresses a variety of state-of-the-art issues in Responsible Manufacturing Highlights how popular industrial engineering and operations research techniques can be effectively exploited to find the most effective solutions to problems Presents how a specific issue can be approached or modeled in a given decision-making situation Covers strategic, tactical, and operational systems issues Provides a foundation for academicians and practitioners interested in building bodies of knowledge in this new and fast-growing area |
| backward sensitivity analysis software is used for: U.S. Geological Survey Water-supply Paper , 1982 |
| backward sensitivity analysis software is used for: Supercomputing, Collision Processes, and Applications Kenneth L. Bell, Keith A. Berrington, Derrick S.F. Crothers, Alan Hibbert, Kenneth T. Taylor, 2006-04-18 Professor Philip G. Burke, CBE, FRS formally retired on 30 September 1998. To recognise this occasion some of his colleagues, friends, and former students decided to hold a conference in his honour and to present this volume as a dedication to his enormous contribution to the theoretical atomic physics community. The conference and this volume of the invited talks reflect very closely those areas with which he has mostly been asso- ated and his influence internationally on the development of atomic physics coupled with a parallel growth in supercomputing. Phil’s wide range of interests include electron-atom/molecule collisions, scattering of photons and electrons by molecules adsorbed on surfaces, collisions involving oriented and chiral molecules, and the development of non-perturbative methods for studying multiphoton processes. His devel- ment of the theory associated with such processes has enabled important advances to be made in our understanding of the associated physics, the interpretation of experimental data, has been invaluable in application to fusion processes, and the study of astrophysical plasmas (observed by both ground- and space-based telescopes). We therefore offer this volume as our token of affection and respect to Philip G. Burke, with the hope that it may also fill a gap in the literature in these important fields. |
| backward sensitivity analysis software is used for: Decision Support Systems Daniel Power, 2002-03-30 For MIS specialists and non-specialists alike, this text is a comprehensive, readable, understandable guide to the concepts and applications of decision support systems. |
| backward sensitivity analysis software is used for: Bayesian Networks Olivier Pourret, Patrick Naïm, Bruce Marcot, 2008-04-30 Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book: Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model. Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations. Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user. Offers a historical perspective on the subject and analyses future directions for research. Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields. |
| backward sensitivity analysis software is used for: International Directory of Software , 1982 |
| backward sensitivity analysis software is used for: Solutions to Water Crises (Related to Actual Interventions) Jenia Mukherjee, Saket Pande, Melissa Haeffner, Sara Marks, Pieter van Oel, Matthew R. Sanderson, Adriana Allen, 2024-01-26 This Research Topic is a part of the Delft 2021: 1st Sociohydrology Conference series. To view the other sessions please follow the links below: Innovating a New Knowledge Base for Water Justice Studies: Hydrosocial, Sociohydrology, and Beyond Scale Issues in Human-Water Systems Water Resources and Human Behavior: Analysis and Modeling of Coupled Water-Human Systems Feedbacks and Coevolution Innovative Sensing, Observing, Measuring and Analysing Human-Water Data “Pluralistic water research” integrates the hydrological and the social to provide sustainable solutions to water crises. While relying upon robust quantitative modelling, sociohydrology captures crises across many waters (surface, ground and interstitial) along quantity and quality dimensions, hydrosocial unfurls power hierarchies in access to safe and required quota of water, be it for drinking or irrigation purposes. The success of engineering solutions laying out “hard” interventions such as solar powered irrigation, dams, high yielding crop varieties, water treatment plants and water distributions and purifications depend on “soft” socio-political, cultural and psychological variables like the political landscape, community behaviours and governance arrangements. How these soft parameters limit or advance the effect of hard interventions await more enhanced modelling and place-based qualitative analyses to disentangle various cause-effect pathways. While historical and process-based sociohydrology accommodates detailed temporal datasets and causal relationships across human-water systems, the hydrosocial paradigm reconciles “non-modern”, anti-hegemonic, water techniques and knowledge systems, animating local agencies within specific hydroscapes. This issue is dedicated to capture real time innovations through which water challenges have been confronted. It intends to unravel “storylines” along actionable water projects, reflecting on mediations across multiple actors and networks in specific spatio-temporal and cultural contexts, finally drawing our attention to the correlation between projected promises and actual realities. Situated at the crossroads of “boundary work”, we invite articles that will deploy a range of interdisciplinary frameworks like RANAS (Risk, Attitude, Norms, Ability, and Self-regulation), APIE (Awareness, Participation, Involvement and Engagement), HUPE (Historical Urban Political Ecology), etc. to demonstrate coupled sociohydrological and hydrosocial realties and in turn getting informed by empirical insights emanating from these actual water interventions. The final aim of the special issue is not to showcase water just actual interventions but to elicit a rigorous mapping of sustainable processes facilitating collective co-production of resilient water trajectories. |
| backward sensitivity analysis software is used for: Mathematics for Healthcare Krasimira Tsaneva-Atanasova, Vanessa Diaz-Zuccarini, 2018-09-28 In 1996, and with extraordinary prescience, Panfilov and Holden had highlighted in their seminal book 'Computational Biology of the Heart' that biology was, potentially, the most mathematical of all sciences. Fast-forward 20 years and we have seen an explotion of applications of mathematics in not only biology, but healthcare that has already produced significant breakthroughs not imaginable more than 20 years ago. Great strides have been made in explaining through quantitative methods the underlying mechanisms of human disease, not without considerable ingenuity and effort. Biological mechanisms are bewildering: complex, ever evolving, multi-scale, variable, difficult to fully access and understand. This poses immense challenges to the computational physiology community that, nevertheless, has developed an impressive arsenal of tools and methods in a vertiginous race to combat disease with the tall order of improving human healthcare. Mechanistic models are now contending with the advent of machine learning in healthcare and the hope is that both approaches will be used synergistically since the complexity of human patophysiology and the difficulty of acquiring human datasets will require both, deductive and inductive methods. This Research Topic presents work that is currently at the frontier in computational physiology with a striking range of applications, from diabetes to graft failure and using a multitude of mathematical tools. This collection of articles represents a snapshot in a field that is moving a dizzying speed, bringing understanding of fundamental mechanism and solutions to healthcare problems experienced by healthcare systems all over the world. |
| backward sensitivity analysis software is used for: Advances in Computers , 2014-03-01 Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field. - In-depth surveys and tutorials on new computer technology - Well-known authors and researchers in the field - Extensive bibliographies with most chapters - Many of the volumes are devoted to single themes or subfields of computer science |
| backward sensitivity analysis software is used for: Dependable Computing Ravishankar K. Iyer, Zbigniew T. Kalbarczyk, Nithin M. Nakka, 2024-05-29 Dependable Computing Covering dependability from software and hardware perspectives Dependable Computing: Design and Assessment looks at both the software and hardware aspects of dependability. This book: Provides an in-depth examination of dependability/fault tolerance topics Describes dependability taxonomy, and briefly contrasts classical techniques with their modern counterparts or extensions Walks up the system stack from the hardware logic via operating systems up to software applications with respect to how they are hardened for dependability Describes the use of measurement-based analysis of computing systems Illustrates technology through real-life applications Discusses security attacks and unique dependability requirements for emerging applications, e.g., smart electric power grids and cloud computing Finally, using critical societal applications such as autonomous vehicles, large-scale clouds, and engineering solutions for healthcare, the book illustrates the emerging challenges faced in making artificial intelligence (AI) and its applications dependable and trustworthy. This book is suitable for those studying in the fields of computer engineering and computer science. Professionals who are working within the new reality to ensure dependable computing will find helpful information to support their efforts. With the support of practical case studies and use cases from both academia and real-world deployments, the book provides a journey of developments that include the impact of artificial intelligence and machine learning on this ever-growing field. This book offers a single compendium that spans the myriad areas in which dependability has been applied, providing theoretical concepts and applied knowledge with content that will excite a beginner, and rigor that will satisfy an expert. Accompanying the book is an online repository of problem sets and solutions, as well as slides for instructors, that span the chapters of the book. |
| backward sensitivity analysis software is used for: Analysis and Optimization of Prismatic and Axisymmetric Shell Structures Ernest Hinton, Johann Sienz, Mustafa Özakca, 2012-12-06 Shell-type structures can be found almost everywhere. They appear in natural forms but also as man-made, load-bearing components in diverse engineering systems. Mankind has struggled to replicate nature’s optimization of such structures but using modern computational tools it is now possible to analyse, design and optimise them systematically. Analysis and Optimization of Prismatic and Axisymmetric Shell Structures features: comprehensive coverage of the background theory of shell structures; development and implementation of reliable, creative and efficient computational tools for static and free-vibration analysis and structural optimization of variable-thickness shells and folded-plate structures; integrated computer-aided curve and surface modelling tools and automatic mesh generation, structural analysis sensitivity analysis and mathematical programming methods; well-documented, downloadable Fortran software for these techniques using finite element and finite strip simulations which can be readily adapted by the reader for the solution of practical problems or for use within a teaching or research environment. Written by leading experts in finite element and finite strip methods, Analysis and Optimization of Prismatic and Axisymmetric Shell Structures will be of great interest to researchers in structural mechanics and in automotive, aerospace and civil engineering as well as to designers from all fields using shell structures for their strength-per-unit-mass advantages. |
BACKWARD Definition & Meaning - Merriam-Webster
The meaning of BACKWARD is toward the back or rear. How to use backward in a sentence.
BACKWARD Definition & Meaning | Dictionary.com
to look backward over one's earlier mistakes. toward a less advanced state; retrogressively. Since the overthrow of the president the country has moved steadily backward.
BACKWARD | definition in the Cambridge English Dictionary
BACKWARD meaning: 1. not advanced: 2. towards the direction that is the opposite to the one in which you are facing…. Learn more.
Backward - definition of backward by The Free Dictionary
Define backward. backward synonyms, backward pronunciation, backward translation, English dictionary definition of backward. adj. 1. Directed or facing toward the back or rear. 2. Done or …
Backward or Backwards – What’s the Difference ... - Writing …
What does backward mean? Backward can be either an adjective or an adverb. As an adjective, backward means regressive or underdeveloped. Here are a few examples, The …
Backward vs. Backwards: What's the Difference? - Grammarly
Backward is mainly used as an adjective to describe a reverse direction or movement, or a lack of progress. On the other hand, backwards functions primarily as an adverb, emphasizing the …
BACKWARD definition and meaning | Collins English Dictionary
A backward movement or look is in the direction that your back is facing. Some people use backwards for this meaning.
Backward or Backwards: Which is Correct? - Grammar Blend
Oct 11, 2024 · Backward is both an adjective and an adverb, while backwards is only an adverb. Regional preferences influence the choice of term, particularly between British and American …
Backward - Definition, Meaning & Synonyms - Vocabulary.com
Backward means "toward the rear" or "behind." It’s the opposite of forward. If you stop peddling your bike on a hill, you’ll start rolling backward. If you count backward from 10 to 1, you …
How to Use Backward vs backwards Correctly - GRAMMARIST
While technically backwards is interchangeable with backward, the overwhelmingly preferred spelling in the United States is backward, whether it is used as an adjective or an adverb. …
arXiv:2410.01911v1 [math.NA] 2 Oct 2024
Among recently developed sensitivity analysis software stands the DifferentialEquations.jl [23] and SciMLSensitivity.jl [24], general purpose packages for solving differential equations and for …
Sensitivity analysis of differential-algebraic equations and …
1554 L. Petzold et al. / Computers and Chemical Engineering 30 (2006) 1553–1559 respect to perturbations in the parameters. In many applica-tions, one is concerned with a function of the …
Experimental and CFD Analysis Of Centrifugal Pump …
Solid works software and Computational Fluid Dynamics (CFD) analysis is carried out using ANSYS CFX software on the developed model of impeller to predict the performance virtually …
Methods for sensitivity analysis and backward propagation …
Methods for sensitivity analysis and backward propagation of uncertainty applied on mathematical models in engineering applications. Mechanical engineering [physics.class-ph]. Univer-sité …
MENINGKATKAN PENGAMBILAN KEPUTUSAN
SENSITIVITY ANALYSIS This table displays the results of a sensitivity analysis of the effect of changing the sales price of a necktie and the cost per unit on the product’s break-even point. It …
CSE245: Computer-Aided Circuit Simulation and Verification
– AC Analysis, Noise, Distortions, Sensitivity ( ) ( ) ( ) ( ) ( ) ( ) Y DX t FU t GX t BU t dt dX t f X C dt dX t f X C ( ) ( ) 10. Program Structure (a closer look) Numerical Techniques: –Formulation …
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Understand the basic concept of sensitivity analysis (SA). Understand the characteristics and benefits of sensitivity analysis. List the various steps involved in the SA process. Understand …
forward sensitivity for uncertainty quantification-R3
solution depends upon. We define the parameter sensitivity by how much it affects the solution or in equation form dp dY s, (2-2) Here s is the sensitivity of the solution Y with respect to the …
Backward sensitivity analysis and reduced-order covariance …
Backward sensitivity analysis and reduced-order covariance estimation in noninvasive parameter identification for cerebral arteries. International Journal for Numerical Methods in Biomedical …
Research at NCAR on the Topics of Data Assimilation Singular …
the forthcoming removal of CRAY machines from NCAR and by the porting of this software to the University of California at Los Angeles, the Desert Research Institute (in Reno), the University …
Sensitivity Analysis of Di erential-Algebraic Equations and …
a small number of parameters, adjoint (backward) sensitivity analysis is best suited to the complementary situation of nding the sensitivity of a scalar (or ... Recent work on methods and …
The Adjoint of CMAQ - University of California, Los Angeles
In backward (adjoint) sensitivity analysis, the perturbation is made at the receptor end and is propagated backward in time and space through an auxiliary set of equations. As a result, …
SPARSE FORWARD-BACKWARD ALIGNMENT FOR SENSITIVE …
We begin by describing the data used for evaluation, then demonstrate the space-pruning e cacy of our Cloud Search approach. We then show that sparse Forward/Backward analysis signi …
Automated Backward Error Analysis for Numerical Code
Automated Backward Error Analysis for Numerical Code ... 15+ + ...
A Multiphase CMAQ Version 5.0 Adjoint
Adjoint models generate gradients which can be used directly for backward sensitivity analysis or to provide directions for gradient-based optimization in four-dimensional variational data …
Dynamics of the optimality control of transmission of …
a)||}, ) = ′ = ˜ ˚)+ ˜ ˚ + ˜) ˚.,,. ˜ ˚, = ˜) ˚. ˜, ˚. ˜ ˚, = = , = , = , =,), =).)+|| ||, ...
1 The adjoint method - Computer Science
additional code, as the original software to solve just g(x;p) = 0 does not require it. 2 PDE-constrained optimization problems Partial di erential equations are used to model physical …
Source Attribution of Health Benefits from Air Pollution …
as zero-out sensitivity analysis, requires emis-sions from a particular source be set to zero on the premise that removing a source will reveal its overall influence. In contrast, adjoint sensitivity …
QR VERSUS CHOLESKY: A PROBABILISTIC ANALYSIS - Texas …
In [14, 15] one nds a sensitivity analysis of the normal equation method, com-puting the sensitivity of the system to perturbations. The analysis looks at the upper bounds, which are not …
Study of mesh sensitivity in CFD and the influence of …
People’s Democratic Republic of Algeria Ministry of Higher Education and Scientific Research University Center of Ahmed Ben YahiaEl-Wancharissi–Tissemsilt Institute of Sciences and …
An optimal design algorithm for centrifugal fans: Theoretical …
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"Backward-Forward-Looking" Prospect Theory Demand and …
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Use of Adjoint Modeling with Satellite Data and CO2 Control …
Sensitivity Analysis: Forward (e.g., BF, DDM: source-) vs. Adjoint (Receptor-Oriented) ... 𝜕 𝜕 𝑖 𝜕 𝑖 𝜕 Forward sensitivity (DDM) Backward sensitivity (Adjoint) •Backward sensitivity analysis: …
A3SA: Advanced Data Augmentation via Adjoint Sensitivity …
perturbation, the adjoint sensitivity analysis employs the forward and adjoint (backward) simulations to compute the gradients with respect to the numerous geometrical degrees of …
Sensitivity Analysis for Multidisciplinary Systems (SAMS)
Modularization of the modal aeroelastic routines breaks the traditional tightly-integrated software design paradigm of FUN3D, and allows for these software components to be used outside of …
Research
Adjoint or backward sensitivity analysis is a model- ing tool that can achieve this goal by allowing for quantification of how emissions from sources in different locations influence human health ...
Chapter 33 Backwards analysis - University of Illinois Urbana …
Backwards analysis BySarielHar-Peled,November1,2015‹ Version: 1.0 The idea of backwards analysis (or backward analysis) is a technique to analyze randomized algorithms by imagining …
A Multiphase CMAQ Version 5.0 Adjoint - Copernicus.org
widely used chemical transpor t model. The adjoint provides location - and time -specific gradients that can be used in various app lications such as backward sensitivity analysis, source …
Backward sensitivity analysis and reduced-order covariance …
Backward sensitivity analysis and reduced-order covariance estimation in noninvasive parameter identification for cerebral arteries. International Journal for Numerical Methods in Biomedical …
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Experiences from several data assimilation methods
Adjoint model is also useful for backward sensitivity analysis. 1. CFORS x 4D-Var x in-situ measurements The DA system worked well ... Adjoint model is also useful for backward …
A Multiphase CMAQ Version 5.0 Adjoint - Copernicus.org
Adjoint models generate gradients which can be used directly for backward sensitivity analysis or to provide directions for gradient-based optimization in four-dimensional variational data …
Validation study of Windtrax reverse dispersion model …
sensitivity analysis of model-specific settings Francesca Tagliaferri1, Marzio Invernizzi1*, ... backward dispersion models may represent promising tools. In particular, by knowing a …
Fluid Structure Interaction for Strongly Coupled Problems …
the method uses a sensitivity analysis to predict the behaviour of the fluid system. With this information, the structural problem can be solved and im- ... the backward Euler scheme. The …
High-Fidelity Multidisciplinary Sensitivity Analysis and …
ity analysis of DYMORE is distributed to all the processors used in the CFD analysis. The multidisciplinary sensitivity analysis integrates all sensitivity components from the coupled …
Introduction to Sensitivity Analysis - Springer
regulatory or policy process. For the “Sensitivity Analysis” chapter, in addition to this introduction, eight papers have been written by around twenty practitioners from different fields of …
BACKWARD PERTURBATION AND SENSITIVITY ANALYSIS …
Sensitivity Analysis of Structured Polynomial Eigenvalue Problem" by Bibhas Ad- hikari, a student in the Department of Mathematics, Indian Institute of Technology Guwahati for the award of …
Fault Tree Analysis (FTA): Concepts and Applications
Elements of Fault Tree Analysis (FTA) • FTA is a deductive analysis approach for resolving an undesired event into its causes • FTA is a backward looking analysis, looking backward at the …
SUNDIALS: Suite of Nonlinear and Differential/Algebraic …
Sensitivity Analysis Sensitivity Analysis (SA) is the study of how the variation in the output of a model (numerical or otherwise) can be apportioned, qualitatively or quantitatively, to different …
Full Monte The better approach to Schedule Risk Analysis
11.4 Full Sensitivity Analysis 86 11.5 Tornado Bar Column Title Configuration 89. Full Monte SRA 3.7 User Guide – June 2024 iv Chapter 12: The Joint Confidence Level View 91 ... Most …
Aerodynamic Shape Sensitivity Analysis and Design …
discrete sensitivity analysis approach which has been used to perform the design optimization of airfoils and transport wings in transonic flow. Elliot and Peraire [11] have also developed an …
Comparative Analysis of Three Methods for HYSPLIT …
Li et al. [20] also used mean angles to carry out cluster analysis on the trajectory and found that the seasonal transport pathways of PM2.5 changed significantly. Wang et al. [21] developed …
Geostationary Coastal and Air Pollution Events (GEO-CAPE) …
Sensitivity Analysis Experiment . Meemong Lee and Kevin Bowman . National Aeronautics and . ... and propagates the sensitivity backward in time employing the adjoint models. Figure 1. …
A multiphase CMAQ version 5.0 adjoint
model, a widely used chemical transport model. The adjoint model provides location- and time-specific gradients that can be used in various applications such as backward sensitivity …
Development of a Full Adjoint for CMAQ - cmascenter.org
Forward vs. backward sensitivity analysis • Complementary methods (Source-based vs. Receptor-based), each suitable for specific types of problems. • Adjoint useful for calculations …
Implementation of Design K. K. Choi Sensitivity Analysis with …
analysis programs used in the work presented here are ANSYS [8] of Swanson Analysis Systems Inc. and IFAD [9] of Ap- plicon Inc. Feasibility of the method is shown through
1 Error analysis for linear systems - Department of Computer …
Sep 16, 2016 · We begin with a discussion of the rst-order sensitivity analysis of the system Ax= b: Using our favored variational notation, we have the following relation between
Backward Error Analysis - Universiteit Utrecht
BACKWARD ERROR ANALYSIS so, by choosing the term in brackets in (17.3) to be zero, i.e. f ... symbolic mathematics software) gives the five-term modified equation y ...
Computer Science Technical Report TR-07-34 October 6, 2007 …
Categories and Subject Descriptors: G.1.7 [Numerical Analysis]: Ordinary Differential Equa-tions; G.4 [Mathematical Software]: Algorithm design and analysis General Terms: Algorithms, …
EFFECT Of AGROINDUSTRY TO ECONOMY IN BALI AREA
Impact analysis tool, which is used for inter-sectoral analysis of the impact of economic, employment, and income; Sensitivity analysis tools and due diligence, which is used to …
