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＜電子ブック＞
Maple and Mathematica : A Problem Solving Approach for Mathematics / by Inna K. Shingareva, Carlos Lizárraga-Celaya

版	2nd ed. 2009.
出版者	(Vienna : Springer Vienna : Imprint: Springer)
出版年	2009
本文言語	英語
大きさ	XVIII, 484 p : online resource
著者標目	*Shingareva, Inna K author Lizárraga-Celaya, Carlos author SpringerLink (Online service)
件　名	LCSH:Computer software LCSH:Artificial intelligence LCSH:Mathematics LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Computational intelligence LCSH:Mathematics -- Data processing  全ての件名で検索 FREE:Mathematical Software FREE:Artificial Intelligence FREE:Applications of Mathematics FREE:Mathematical Applications in Computer Science FREE:Computational Intelligence FREE:Computational Mathematics and Numerical Analysis
一般注記	I Foundations of Maple and Mathematica -- Maple -- Mathematica -- II Mathematics: Maple and Mathematica -- Graphics -- Algebra -- Linear Algebra -- Geometry -- Calculus and Analysis -- Complex Functions -- Special Functions and Orthogonal Polynomials -- Integral and Discrete Transforms -- Mathematical Equations -- Numerical Analysis and Scientific Computing The first book to compare the main two computer algebra systems (CAS), Maple and Mathematica used by students, mathematicians, scientists, and engineers. Both systems are presented in parallel so that Mathematica users can learn Maple quickly by finding the Maple equivalent to Mathematica functions, and vice versa. This student reference handbook consists of core material for incorporating Maple and Mathematica as a working tool into different undergraduate mathematical courses (abstract and linear algebra, geometry, calculus and analysis, complex functions, special functions, integral and discrete transforms, algebraic and transcendental equations, ordinary and partial differential equations, integral equations, numerical analysis and scientific computing). The book also contains applications from various areas of mathematics, physics, and music theory and can be useful for graduate students, professors, and researchers in science and engineering. One of the goals of this book is to develop problem-solving skills (that are most useful for solving sophisticated research problems) finding solutions with Maple and Mathematica and not to depend on a specific version of both systems (Maple 12 and Mathematica 6 and 7 are considered). Part I, describes the foundations of Maple and Mathematica (with equivalent problems and solutions). Part II, describes Mathematics with Maple and Mathematica by using equivalent problems. Finally, this book is ideal for scientists who want to corroborate their Maple and Mathematica work with independent verification provided by another CAS. J. Carter, SIAM Review 50: 149-152 (2008).   HTTP:URL=https://doi.org/10.1007/978-3-211-99432-0

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