Mathematics Mechanization and Applications / Edition 1

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Overview

Mathematics Mechanization and Applications provides surveys for major research developments on mechanizing algebraic equations-solving and geometric theorem proving with diverse applications accomplished in Wu's extended Chinese group.

The book:

• addresses the frontiers of research, with new and original ideas and results
• includes sophisticated and successful applications to scientific and engineering problems
• covers polynomial system solving; geometric reasoning; computer algebra; and mathematical software
• is comprehensive and focused, and easy to read with a uniform presentation
• contains an extensive bibliography, of high value for reference to western readers.

This book is of interest to researchers, software developers and graduate students in symbolic and algebraic computation, automated theorem-proving, algorithmic mathematics, and computer-aided mathematical problem solving. It is relevant for researchers and university teachers in computer-aided instruction and education; and for engineers and practitioners in mechanics, computer-aided geometric design, geometric modelling and robotics. People in many other related areas, from pure mathematics to computer-aided design, particularly those who know of the Wu method, but have little knowledge of it or the work that has arisen around it, will also find the book good reading.

Audience: Researchers, practitioners and graduate students in symbolic and algebraic computation, geometric reasoning, authomated theorem proving, algorithmic mathematics, and computer-aided mathematical problem solving; researchers and university teachers in computer-aided instruction and education; and software developers, researchers and engineers in mechanics, computer-aided geometric design, geometric modeling, robotics, and computer vision.

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Editorial Reviews

From the Publisher
"An outstanding feature of the book is the great variety and diversity of the material treated, together with the brevity, lucidity, and simplicity with which the leading ideas are presented. Another distinct, very appealing feature is the brief comparison of the philosophical ideas underlying the approaches undertaken by ancient Greek mathematicians and their contemporary Chinese pairs. The book is an indispensable reference to the workers actively engaged in symbolic computation, be it in mathematics, robotics, CAD, computer vision, non-linear optimization, theoretic physics, chemical equilibrium, celestial mechanics. It can also be strongly recommended to thè'disengaged" mathematician who wishes to become familiar with an important and active research area."
Zentralblatt MATH - the journal of the European Mathmatical Society.
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Product Details

  • ISBN-13: 9780127347608
  • Publisher: Elsevier Science
  • Publication date: 7/25/2000
  • Edition number: 1
  • Pages: 551
  • Product dimensions: 1.31 (w) x 7.00 (h) x 10.00 (d)

Meet the Author

Dongming Wang has been a senior researcher at CNRS since 1992. He is recognized for his work and expertise on automated geometric reasoning, elimination methods, and applications of symbolic computation to differential equations and neural networks.

Xiao-Shan Gao received his Ph.D. from Academia Sinica in 1988 and worked as a research scientist at the University of Texas at austin from 1988 to 1990, and at Wichita State University from 1992 to 1996. He has been a research professor at Academia Sinica since 1997. His major research interests include automated geometric reasoning, polynomial system and geometric constraint solving, and intelligent computer-aided design and instruction.

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Table of Contents

Preface. List of Contributors. Polynomial System Solving: W. Wu, The Characteristic Set Method and Its Application. D. Wang, Some Algorithms for Zero Decomposition of Polynomial Systems. S. Zhang, G. Feng, The Eigenvalue Approach to Polynomial System. S.Wang, K. Wu, Solving the Yang-Baxter Equation by Wu's Method. Automated Geometric Reasoning: S. Chou, D. Lin, Wu's Method for Automated Geometry Theorem Proving and Discovering. H. Li, Mechanical Theorem Proving in Differential Geometry. J. Zhang, Points Elimination Methods for Geometric Problem Solving. H. Li, Clifford Algebra Approaches to Mechanical Geometry Theorem Proving. X. Hou, Proving by Examples. X. Gao, Search Methods Revisited. J. Wu, First-Order Polynomial Based Theorem Proving. Algebraic Computation: Z. Li, Greatest Common Right Divisors, Least Common Left Multiples, and Subresultants of Ore Polynomials. L. Zhi, Algebraic Factorization and GCD Computation. X. Gao, Conversion Between Implicit and Parametric Representations of Algebraic Varieties. Implementations and Applications: Z. Lu, S. Ma, Centers, Foci, and Limit Cycles for Polynomial Differential Systems. Z. Li, Exact Solitary Wave Solutions of Non-linear Evolution Equations. H. Zhang, E. Fan, Applications of Mechanical Methods to Partial Differential Equations. Q. Liao, Equation Solving in Robotics and Mechanisms. G. Feng, H. Ren, Y. Zhou, Blending Several Implicit Algebraic Surfaces. S. Chou, X. Gao, Z. Liu, D-K Wang, D. Wang, Geometric Theorem Provers and Algebraic Equation Solvers. References. Index.

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