Symbolic and Numerical Scientific Computation
Symbolic and Numerical Scientific Computation

Author: Franz Winkler

Publisher: Springer Science & Business Media

Published: 2003-06-30

Total Pages: 399

ISBN-13: 3540405542

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This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Symbolic and Numerical Scientific Computation, SNSC 2001, held in Hagenberg, Austria, in September 2001. The 19 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on symbolics and numerics of differential equations, symbolics and numerics in algebra and geometry, and applications in physics and engineering.

Axiom
Axiom

Author: Richard D. Jenks

Publisher: Springer Verlag

Published: 1992

Total Pages: 786

ISBN-13:

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Mathematics of Computing -- Mathematical Software.

Numerical Analysis and Scientific Computation
Numerical Analysis and Scientific Computation

Author: Jeffery J. Leader

Publisher: Addison-Wesley Longman

Published: 2004

Total Pages: 0

ISBN-13: 9780201734997

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This text is intended for a first course in Numerical Analysis taken by students majoring in mathematics, engineering, computer science, and the sciences. This text emphasizes the mathematical ideas behind the methods and the idea of mixing methods for robustness. The optional use of MATLAB is incorporated throughout the text.

Scientific Programming
Scientific Programming

Author: Jorge Alberto Calvo

Publisher: Cambridge Scholars Publishing

Published: 2018-12-19

Total Pages: 562

ISBN-13: 1527523845

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This book offers an introduction to computer programming, numerical analysis, and other mathematical ideas that extend the basic topics learned in calculus. It illustrates how mathematicians and scientists write computer programs, covering the general building blocks of programming languages and a description of how these concepts fit together to allow computers to produce the results they do. Topics explored here include binary arithmetic, algorithms for rendering graphics, the smooth interpolation of discrete data, and the numerical approximation of non-elementary integrals. The book uses an open-source computer algebra system called Maxima. Using Maxima, first-time programmers can perform familiar tasks, such as graphing functions or solving equations, and learn the basic structures of programming before moving on to other popular programming languages. The epilogue provides some simple examples of how this process works in practice. The book will particularly appeal to students who have finished their calculus sequence.

Scientific Computing - An Introduction using Maple and MATLAB
Scientific Computing - An Introduction using Maple and MATLAB

Author: Walter Gander

Publisher: Springer Science & Business

Published: 2014-04-23

Total Pages: 926

ISBN-13: 3319043250

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Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.

Numerical and Symbolic Scientific Computing
Numerical and Symbolic Scientific Computing

Author: Ulrich Langer

Publisher: Springer Science & Business Media

Published: 2011-11-19

Total Pages: 361

ISBN-13: 3709107946

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The book presents the state of the art and results and also includes articles pointing to future developments. Most of the articles center around the theme of linear partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite element methods, a symbolic approach to finite difference schemes, cylindrical algebraic decomposition and local Fourier analysis, and white noise analysis for stochastic partial differential equations. Further numerical-symbolic topics range from applied and computational geometry to computer algebra methods used for total variation energy minimization.

Symbolic Computation for Statistical Inference
Symbolic Computation for Statistical Inference

Author: David F. Andrews

Publisher: Oxford University Press, USA

Published: 2000

Total Pages: 184

ISBN-13: 9780198507055

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Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal steps forward are now being made in the area of symbolic computing: the use of computer languages and procedures to manipulate expressions. This allows researchers to compute an algebraic expression, rather than evaluate the expression numerically over a given range. This book summarizes a decade of research into the use of symbolic computation applied to statistical inference problems. It shows the considerable potential of the subject to automate statistical calculation, leaving researchers free to concentrate on new concepts. Starting with the development of algorithms applied to standard undergraduate problems, the book then goes on to develop increasingly more powerful tools. Later chapters then discuss the application of these algorithms to different areas of statistical methodology.

Projects in Scientific Computation
Projects in Scientific Computation

Author: Richard E. Crandall

Publisher: Springer Science & Business Media

Published: 2000-06-22

Total Pages: 500

ISBN-13: 9780387950099

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This interdisciplinary book provides a compendium of projects, plus numerous example programs for readers to study and explore. Designed for advanced undergraduates or graduates of science, mathematics and engineering who will deal with scientific computation in their future studies and research, it also contains new and useful reference materials for researchers. The problem sets range from the tutorial to exploratory and, at times, to "the impossible". The projects were collected from research results and computational dilemmas during the authors tenure as Chief Scientist at NeXT Computer, and from his lectures at Reed College. The content assumes familiarity with such college topics as calculus, differential equations, and at least elementary programming. Each project focuses on computation, theory, graphics, or a combination of these, and is designed with an estimated level of difficulty. The support code for each takes the form of either C or Mathematica, and is included in the appendix and on the bundled diskette. The algorithms are clearly laid out within the projects, such that the book may be used with other symbolic numerical and algebraic manipulation products

Computer Algebra and Symbolic Computation
Computer Algebra and Symbolic Computation

Author: Joel S. Cohen

Publisher: CRC Press

Published: 2002-07-19

Total Pages: 323

ISBN-13: 1439863695

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This book provides a systematic approach for the algorithmic formulation and implementation of mathematical operations in computer algebra programming languages. The viewpoint is that mathematical expressions, represented by expression trees, are the data objects of computer algebra programs, and by using a few primitive operations that analyze and

Computer Algebra in Scientific Computing
Computer Algebra in Scientific Computing

Author: François Boulier

Publisher: Springer Nature

Published: 2020-10-17

Total Pages: 644

ISBN-13: 3030600262

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This book constitutes the refereed proceedings of the 22nd International Workshop on Computer Algebra in Scientific Computing, CASC 2020, held in Linz, Austria, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 34 full papers presented together with 2 invited talks were carefully reviewed and selected from 41 submissions. They deal with cutting-edge research in all major disciplines of computer algebra. The papers cover topics such as polynomial algebra, symbolic and symbolic-numerical computation, applications of symbolic computation for investigating and solving ordinary differential equations, applications of CAS in the investigation and solution of celestial mechanics problems, and in mechanics, physics, and robotics.