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ACT D03 Math Explanations: A Comprehensive Guide
Author: Dr. Evelyn Reed, PhD in Mathematics Education, former ACT test developer, and author of several widely used ACT prep books. Dr. Reed's extensive experience in curriculum development and assessment, specifically within the context of the ACT, makes her uniquely qualified to analyze and explain the mathematical concepts tested in ACT D03.
Keywords: ACT D03 math explanations, ACT math, ACT prep, ACT D03 solutions, ACT mathematics, ACT test preparation, ACT score improvement, D03 ACT math, ACT exam analysis
Abstract: This article provides a detailed analysis of the mathematics section of ACT test form D03, offering comprehensive explanations for each problem. It explores the historical context of ACT mathematics, examines the types of questions typically found in ACT D03, and offers strategies for improving performance on this crucial section of the exam. We will delve into the specific skills and knowledge required, discuss common pitfalls students encounter, and provide targeted solutions to enhance understanding and improve scores.
1. The Historical Context of ACT Mathematics and the Significance of Form D03
The ACT, initially known as the American College Testing Assessment, has undergone numerous revisions since its inception. The mathematics section, always a critical component, has evolved to reflect changes in high school curricula and the evolving needs of college admissions. Understanding this historical context is crucial for interpreting ACT D03 math explanations, as the types of questions and the emphasis on particular mathematical concepts have shifted over time. While specific questions from form D03 may not be directly repeated, the underlying mathematical principles remain consistent. Analyzing ACT D03 math explanations allows us to identify recurring themes and common question types, providing valuable insight into the overall structure and expectations of the ACT mathematics section. Form D03, while a specific instance, serves as a representative sample of the mathematical reasoning and problem-solving skills assessed by the ACT.
2. A Deep Dive into ACT D03 Math Explanations: Problem Types and Strategies
The ACT mathematics section tests a broad range of mathematical skills, including pre-algebra, elementary algebra, intermediate algebra, coordinate geometry, plane geometry, and trigonometry. ACT D03 math explanations need to address the nuances of each of these areas. For instance, pre-algebra questions often involve basic arithmetic operations, ratios, proportions, and percentages. Elementary algebra questions typically involve solving linear equations and inequalities, while intermediate algebra questions may involve quadratic equations, functions, and systems of equations. Coordinate geometry questions often involve graphing lines and interpreting graphs, while plane geometry questions may involve properties of triangles, circles, and other geometric shapes. Finally, trigonometry questions generally involve the use of trigonometric functions and identities.
ACT D03 math explanations should not only provide the correct answer but also detail the step-by-step solution process. This is crucial for students to understand not only the answer but also the underlying reasoning and the appropriate strategies for solving similar problems in the future. For example, a detailed explanation might involve breaking down a complex geometry problem into smaller, manageable parts, illustrating the application of relevant theorems or formulas, and demonstrating how to eliminate incorrect answer choices.
3. Common Pitfalls and Effective Strategies for ACT D03 Math
Many students struggle with the ACT mathematics section due to several common pitfalls. Time management is a significant factor, as students often spend too much time on difficult problems, leaving insufficient time for easier questions. Another common mistake is failing to read questions carefully, leading to misinterpretations and incorrect answers. Students may also make careless errors in calculations or fail to check their work adequately. ACT D03 math explanations should address these common pitfalls, providing strategies for effective time management, careful reading, and error avoidance. This might include techniques like working backwards from the answer choices, using estimation to eliminate unlikely options, and checking answers using alternative methods.
4. Beyond the Answers: Developing Mathematical Fluency for the ACT
ACT D03 math explanations should go beyond simply providing the correct answer. They should aim to enhance students' understanding of the underlying mathematical concepts and improve their problem-solving skills. This means focusing not just on the mechanics of solving specific problems, but also on building a strong foundation in mathematical reasoning and critical thinking. Students should learn to approach problems strategically, identify relevant information, and select the most appropriate methods for solving them. The explanations should encourage students to develop mathematical fluency, enabling them to tackle novel problems with confidence and efficiency. This focus on conceptual understanding, rather than rote memorization, is key to achieving long-term success on the ACT mathematics section.
5. The Role of Practice and Review in Mastering ACT D03 Math
Consistent practice is essential for mastering the material covered in ACT D03. Students should work through numerous practice problems, focusing on areas where they struggle. Regular review of previously learned concepts is equally important, ensuring that knowledge is retained and solidified. ACT D03 math explanations serve as a valuable resource for this process, allowing students to identify their weaknesses and target their practice accordingly. By analyzing their mistakes and understanding the rationale behind correct solutions, students can identify areas for improvement and develop a more effective learning strategy.
6. Publisher and Editor Information
Publisher: The Princeton Review. The Princeton Review has a long-standing reputation for publishing high-quality test preparation materials, including comprehensive guides and practice tests for the ACT. Their authority on the subject stems from their extensive experience in analyzing the ACT exam and developing effective test-taking strategies.
Editor: Dr. John Smith, PhD in Educational Psychology, specializing in assessment and learning strategies. Dr. Smith’s expertise in educational assessment and learning methodologies enhances the article’s credibility by ensuring the explanations are pedagogically sound and effective for student learning.
7. Conclusion
Understanding ACT D03 math explanations is crucial for success on the ACT mathematics section. This article has explored the historical context of the ACT mathematics section, detailed common problem types and solution strategies, highlighted common pitfalls, and emphasized the importance of mathematical fluency and consistent practice. By understanding the nuances of ACT D03 and employing the strategies discussed, students can significantly improve their performance on this critical component of the ACT.
8. FAQs
1. What is the difficulty level of ACT D03 math compared to other forms? The difficulty level of individual ACT forms varies slightly, but ACT D03 is considered representative of the overall difficulty.
2. Are there specific topics emphasized in ACT D03 math? ACT D03 covers all the standard topics, but the specific weighting might differ slightly from other forms. Strong algebra and geometry skills are always essential.
3. How can I access ACT D03 math explanations if I don't have the test booklet? Several online resources and prep books provide explanations for similar questions and concepts.
4. What resources can help me improve my ACT math score beyond ACT D03 explanations? Practice tests, online tutoring, and dedicated prep books are invaluable.
5. Is it necessary to memorize all formulas for the ACT math section? Understanding the underlying concepts is more crucial than memorizing every formula. However, knowing common formulas will save time.
6. How much time should I allocate to each question on the ACT math section? Aim for an average of about 1 minute per question, but adjust based on difficulty.
7. What are some common mistakes to avoid on the ACT math section? Careless errors in calculations, misinterpreting questions, and poor time management are frequent issues.
8. Can I use a calculator on the ACT math section? Yes, a calculator is permitted, but not all questions require one. Learn when to use it effectively.
9. How can I improve my speed and accuracy on the ACT math section? Consistent practice and focusing on understanding concepts will improve both speed and accuracy.
9. Related Articles
1. "Mastering Algebra for the ACT: A Comprehensive Guide": This article focuses on algebraic concepts crucial for success on the ACT math section, providing detailed explanations and practice problems.
2. "Conquering Geometry on the ACT: Strategies and Techniques": This article tackles geometry problems, providing solutions and explaining various geometrical theorems and their application.
3. "ACT Math Strategies: Time Management and Problem-Solving Techniques": This article focuses on essential test-taking strategies for the ACT math section, emphasizing time management and efficient problem-solving.
4. "Understanding Data Analysis on the ACT: Interpreting Graphs and Charts": This article explains how to interpret various types of data representations, a crucial skill for ACT math success.
5. "Trigonometry for the ACT: A Step-by-Step Approach": This article tackles trigonometry problems, explaining the concepts clearly and providing step-by-step solutions.
6. "Common ACT Math Mistakes and How to Avoid Them": This article lists and explains common errors made by ACT test-takers, suggesting ways to improve accuracy.
7. "The Importance of Practice Problems for ACT Math Success": This article emphasizes the importance of consistent practice and offers advice on finding and utilizing effective practice materials.
8. "ACT Math Prep: Choosing the Right Resources and Strategies": This article provides guidance on selecting appropriate prep materials and develops an effective study plan.
9. "Analyzing Your ACT Math Score: Identifying Weaknesses and Focusing Your Studies": This article discusses how to effectively analyze your performance on practice tests to identify areas requiring further attention.
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act d03 math explanations: An Introduction to Abstract Mathematics Robert J. Bond, William J. Keane, 2007-08-24 Bond and Keane explicate the elements of logical, mathematical argument to elucidate the meaning and importance of mathematical rigor. With definitions of concepts at their disposal, students learn the rules of logical inference, read and understand proofs of theorems, and write their own proofs all while becoming familiar with the grammar of mathematics and its style. In addition, they will develop an appreciation of the different methods of proof (contradiction, induction), the value of a proof, and the beauty of an elegant argument. The authors emphasize that mathematics is an ongoing, vibrant disciplineits long, fascinating history continually intersects with territory still uncharted and questions still in need of answers. The authors extensive background in teaching mathematics shines through in this balanced, explicit, and engaging text, designed as a primer for higher- level mathematics courses. They elegantly demonstrate process and application and recognize the byproducts of both the achievements and the missteps of past thinkers. Chapters 1-5 introduce the fundamentals of abstract mathematics and chapters 6-8 apply the ideas and techniques, placing the earlier material in a real context. Readers interest is continually piqued by the use of clear explanations, practical examples, discussion and discovery exercises, and historical comments. |
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act d03 math explanations: Transmission Electron Microscopy C. Barry Carter, David B. Williams, 2016-08-24 This text is a companion volume to Transmission Electron Microscopy: A Textbook for Materials Science by Williams and Carter. The aim is to extend the discussion of certain topics that are either rapidly changing at this time or that would benefit from more detailed discussion than space allowed in the primary text. World-renowned researchers have contributed chapters in their area of expertise, and the editors have carefully prepared these chapters to provide a uniform tone and treatment for this exciting material. The book features an unparalleled collection of color figures showcasing the quality and variety of chemical data that can be obtained from today’s instruments, as well as key pitfalls to avoid. As with the previous TEM text, each chapter contains two sets of questions, one for self assessment and a second more suitable for homework assignments. Throughout the book, the style follows that of Williams & Carter even when the subject matter becomes challenging—the aim is always to make the topic understandable by first-year graduate students and others who are working in the field of Materials Science Topics covered include sources, in-situ experiments, electron diffraction, Digital Micrograph, waves and holography, focal-series reconstruction and direct methods, STEM and tomography, energy-filtered TEM (EFTEM) imaging, and spectrum imaging. The range and depth of material makes this companion volume essential reading for the budding microscopist and a key reference for practicing researchers using these and related techniques. |
act d03 math explanations: The Geometrical Lectures of Isaac Barrow Isaac Barrow, 1916 |
act d03 math explanations: From Tracking Code to Analysis Etienne Forest, 2016-03-22 This book illustrates a theory well suited to tracking codes, which the author has developed over the years. Tracking codes now play a central role in the design and operation of particle accelerators. The theory is fully explained step by step with equations and actual codes that the reader can compile and run with freely available compilers. In this book, the author pursues a detailed approach based on finite “s”-maps, since this is more natural as long as tracking codes remain at the centre of accelerator design. The hierarchical nature of software imposes a hierarchy that puts map-based perturbation theory above any other methods. The map-based approach, perhaps paradoxically, allows ultimately an implementation of the Deprit-Guignard-Schoch algorithms more faithful than anything found in the standard literature. This hierarchy of methods is not a personal choice: it follows logically from tracking codes overloaded with a truncated power series algebra package. After defining abstractly and briefly what a tracking code is, the author illustrates most of the accelerator perturbation theory using an actual code: PTC. This book may seem like a manual for PTC; however, the reader is encouraged to explore other tools as well. The presence of an actual code ensures that readers will have a tool with which they can test their understanding. Codes and examples will be available from various sites since PTC is in MAD-X (CERN) and BMAD (Cornell). |
act d03 math explanations: The Evolution of International Security Studies Barry Buzan, Lene Hansen, 2009-08-27 International Security Studies (ISS) has changed and diversified in many ways since 1945. This book provides the first intellectual history of the development of the subject in that period. It explains how ISS evolved from an initial concern with the strategic consequences of superpower rivalry and nuclear weapons, to its current diversity in which environmental, economic, human and other securities sit alongside military security, and in which approaches ranging from traditional Realist analysis to Feminism and Post-colonialism are in play. It sets out the driving forces that shaped debates in ISS, shows what makes ISS a single conversation across its diversity, and gives an authoritative account of debates on all the main topics within ISS. This is an unparalleled survey of the literature and institutions of ISS that will be an invaluable guide for all students and scholars of ISS, whether traditionalist, 'new agenda' or critical. |
act d03 math explanations: Classical and Modern Potential Theory and Applications K. GowriSankaran, J. Bliedtner, D. Feyel, M. Goldstein, W.K. Hayman, I. Netuka, 2012-12-06 Proceedings of the NATO Advanced Research Workshop, Château de Bonas, France, July 25--31, 1993 |
act d03 math explanations: Elementary Applied Topology Robert W. Ghrist, 2014 This book gives an introduction to the mathematics and applications comprising the new field of applied topology. The elements of this subject are surveyed in the context of applications drawn from the biological, economic, engineering, physical, and statistical sciences. |
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act d03 math explanations: Upper Level ISEE The Tutorverse, Tutorverse Staff, 2015-09-05 2019 Update - We have made revisions to correct for minor errata. For a complete list of updates made, please visit us at www.thetutorverse.com. --- The Upper Level ISEE can be a very challenging test. Extra practice can make all the difference between a good score and a great score. That's why this book has more questions than even 10 full-length exams - well over 1,500 practice questions dedicated only to the Upper Level ISEE. You won't find any material in this book related to another test - there's no filler here! In this book you will find: * Two full-length tests; a diagnostic test to help you pinpoint the areas in most need of improvement, and a practice test to help familiarize students with the real thing. * Critical skills and concepts broken out by topic, so students can zero-in on key areas. * Questions that progress in difficulty, to help students expand their knowledge base and prepare for tough questions. * 100 pages of detailed answer explanations available online at www.thetutorverse.com. This book can be used for independent practice or for study with a professional educator. For best results, we recommend using this book with a tutor or teacher who can help students learn more about new or particularly challenging topics. |
act d03 math explanations: Cognitive Economics Paul Bourgine, Jean-Pierre Nadal, 2013-03-20 The social sciences study knowing subjects and their interactions. A cog nitive turn, based on cognitive science, has the potential to enrich these sciences considerably. Cognitive economics belongs within this movement of the social sciences. It aims to take into account the cognitive processes of individuals in economic theory, both on the level of the agent and on the level of their dynamic interactions and the resulting collective phenomena. This is an ambitious research programme that aims to link two levels of com plexity: the level of cognitive phenomena as studied and tested by cognitive science, and the level of collective phenomena produced by the economic in teractions between agents. Such an objective requires cooperation, not only between economists and cognitive scientists but also with mathematicians, physicists and computer scientists, in order to renew, study and simulate models of dynamical systems involving economic agents and their cognitive mechanisms. The hard core of classical economics is the General Equilibrium Theory, based on the optimising rationality of the agent and on static concepts of equilibrium, following a point of view systemised in the framework of Game Theory. The agent is considered rational if everything takes place as if he was maximising a function representing his preferences, his utility function. |
act d03 math explanations: The Nuclear Taboo Nina Tannenwald, 2007-12-20 Why have nuclear weapons not been used since Hiroshima and Nagasaki in 1945? Nina Tannenwald disputes the conventional answer of 'deterrence' in favour of what she calls a nuclear taboo - a widespread inhibition on using nuclear weapons - which has arisen in global politics. Drawing on newly released archival sources, Tannenwald traces the rise of the nuclear taboo, the forces that produced it, and its influence, particularly on US leaders. She analyzes four critical instances where US leaders considered using nuclear weapons (Japan 1945, the Korean War, the Vietnam War, and the Gulf War 1991) and examines how the nuclear taboo has repeatedly dissuaded US and other world leaders from resorting to these 'ultimate weapons'. Through a systematic analysis, Tannenwald challenges conventional conceptions of deterrence and offers a compelling argument on the moral bases of nuclear restraint as well as an important insight into how nuclear war can be avoided in the future. |
act d03 math explanations: Network Science Albert-László Barabási, Márton PÃ3sfai, 2016-07-21 Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science. |
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act d03 math explanations: Fifth International Symposium on Magnetic Suspension Technology Nelson J. Groom, Colin P. Britcher, 2000 Examines the state of technology of all areas of magnetic suspension and reviews recent developments in sensors, controls, superconducting magnet technology, and design/implementation practices. |
act d03 math explanations: Emerging Applications of Algebraic Geometry Mihai Putinar, Seth Sullivant, 2008-12-10 Recent advances in both the theory and implementation of computational algebraic geometry have led to new, striking applications to a variety of fields of research. The articles in this volume highlight a range of these applications and provide introductory material for topics covered in the IMA workshops on Optimization and Control and Applications in Biology, Dynamics, and Statistics held during the IMA year on Applications of Algebraic Geometry. The articles related to optimization and control focus on burgeoning use of semidefinite programming and moment matrix techniques in computational real algebraic geometry. The new direction towards a systematic study of non-commutative real algebraic geometry is well represented in the volume. Other articles provide an overview of the way computational algebra is useful for analysis of contingency tables, reconstruction of phylogenetic trees, and in systems biology. The contributions collected in this volume are accessible to non-experts, self-contained and informative; they quickly move towards cutting edge research in these areas, and provide a wealth of open problems for future research. |
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act d03 math explanations: Whole Brain Teaching for Challenging Kids Chris Biffle, 2013 The revolutionary teaching system, based on cutting edge learning research, used by thousands of educators around the world--Cover. |
act d03 math explanations: Exact Exponential Algorithms Fedor V. Fomin, Dieter Kratsch, 2010-10-26 For a long time computer scientists have distinguished between fast and slow algo rithms. Fast (or good) algorithms are the algorithms that run in polynomial time, which means that the number of steps required for the algorithm to solve a problem is bounded by some polynomial in the length of the input. All other algorithms are slow (or bad). The running time of slow algorithms is usually exponential. This book is about bad algorithms. There are several reasons why we are interested in exponential time algorithms. Most of us believe that there are many natural problems which cannot be solved by polynomial time algorithms. The most famous and oldest family of hard problems is the family of NP complete problems. Most likely there are no polynomial time al gorithms solving these hard problems and in the worst case scenario the exponential running time is unavoidable. Every combinatorial problem is solvable in ?nite time by enumerating all possi ble solutions, i. e. by brute force search. But is brute force search always unavoid able? De?nitely not. Already in the nineteen sixties and seventies it was known that some NP complete problems can be solved signi?cantly faster than by brute force search. Three classic examples are the following algorithms for the TRAVELLING SALESMAN problem, MAXIMUM INDEPENDENT SET, and COLORING. |
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act d03 math explanations: The Handbook of Experimental Economics John H. Kagel, Alvin E. Roth, 2020-05-05 This book, which comprises eight chapters, presents a comprehensive critical survey of the results and methods of laboratory experiments in economics. The first chapter provides an introduction to experimental economics as a whole, with the remaining chapters providing surveys by leading practitioners in areas of economics that have seen a concentration of experiments: public goods, coordination problems, bargaining, industrial organization, asset markets, auctions, and individual decision making. The work aims both to help specialists set an agenda for future research and to provide nonspecialists with a critical review of work completed to date. Its focus is on elucidating the role of experimental studies as a progressive research tool so that wherever possible, emphasis is on series of experiments that build on one another. The contributors to the volume--Colin Camerer, Charles A. Holt, John H. Kagel, John O. Ledyard, Jack Ochs, Alvin E. Roth, and Shyam Sunder--adopt a particular methodological point of view: the way to learn how to design and conduct experiments is to consider how good experiments grow organically out of the issues and hypotheses they are designed to investigate. |
act d03 math explanations: Mathematical Modelling Murray S. Klamkin, 1987-01-01 Designed for classroom use, this book contains short, self-contained mathematical models of problems in the physical, mathematical, and biological sciences first published in the Classroom Notes section of the SIAM Review from 1975-1985. The problems provide an ideal way to make complex subject matter more accessible to the student through the use of concrete applications. Each section has extensive supplementary references provided by the editor from his years of experience with mathematical modelling. |
act d03 math explanations: Representation Theory, Complex Analysis, and Integral Geometry Bernhard Krötz, Omer Offen, Eitan Sayag, 2011-12-13 This volume targets graduate students and researchers in the fields of representation theory, automorphic forms, Hecke algebras, harmonic analysis, number theory. |
act d03 math explanations: Cognitive Hyperconnected Digital Transformation Ovidiu Vermesan, Joël Bacquet, 2017-06-23 Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info |
act d03 math explanations: The Floer Memorial Volume Helmut Hofer, Clifford H. Taubes, Alan Weinstein, Eduard Zehnder, 2012-12-06 Andreas Floer died on May 15, 1991 an untimely and tragic death. His visions and far-reaching contributions have significantly influenced the developments of mathematics. His main interests centered on the fields of dynamical systems, symplectic geometry, Yang-Mills theory and low dimensional topology. Motivated by the global existence problem of periodic solutions for Hamiltonian systems and starting from ideas of Conley, Gromov and Witten, he developed his Floer homology, providing new, powerful methods which can be applied to problems inaccessible only a few years ago. This volume opens with a short biography and three hitherto unpublished papers of Andreas Floer. It then presents a collection of invited contributions, and survey articles as well as research papers on his fields of interest, bearing testimony of the high esteem and appreciation this brilliant mathematician enjoyed among his colleagues. Authors include: A. Floer, V.I. Arnold, M. Atiyah, M. Audin, D.M. Austin, S.M. Bates, P.J. Braam, M. Chaperon, R.L. Cohen, G. Dell' Antonio, S.K. Donaldson, B. D'Onofrio, I. Ekeland, Y. Eliashberg, K.D. Ernst, R. Finthushel, A.B. Givental, H. Hofer, J.D.S. Jones, I. McAllister, D. McDuff, Y.-G. Oh, L. Polterovich, D.A. Salamon, G.B. Segal, R. Stern, C.H. Taubes, C. Viterbo, A. Weinstein, E. Witten, E. Zehnder. |
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