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Book
Maple and Mathematica : A Problem Solving Approach for Mathematics
Authors: ---
ISBN: 3211732659 3211732640 Year: 2007 Publisher: Vienna : Springer Vienna : Imprint: Springer,

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Abstract

It is well known that computer algebra systems have revolutionized teaching and the learning processes in mathematics, science, and - gineering, allowing students to computationally investigate complicated problems to ?nd exact or approximate analytic solutions, numeric so- tions, and illustrative two- and three-dimensional graphics. Since the 1960s there has existed individual packages for solving s- ci?c analytic, numerical, graphical and other problems. The need to solve all those problems with the aid of a single system, has led to the idea of construction of a modern general purpose computer algebra s- tem. The ?rst two papers describing analytic calculations realized on a computer were published in 1953 [7]. In the early 1970s, systems of - alytic computations (SAC),or computer algebra systems (CAS), began to appear. Computer algebra systems are computational interactive programs that facilitate symbolic mathematics and can handle other type of pr- lems. The ?rst popular systems were Reduce, Derive, and Macsyma, which are still commercially available. Macsyma was one of the ?rst and most mature systems. It was developed at the Massachusetts - stitute of Technology (MIT), but practically its evolution has stopped since thesummer of 1999. Afree software version of Macsyma, Maxima, is actively being maintained. To the present day, there have been developed more than a hundred computer algebra systems [7], [18]. Among these we can ?nd Axiom, Derive, Maxima, Maple, Mathematica, Matlab, MuMATH, MuPAD, Reduce, etc. All these systems can be subdivided into specialized and general-purpose computer algebra systems ([7], [18], [2]).


Book
Maple and Mathematica : a problem solving approach for mathematics
Authors: ---
ISBN: 3211994335 3211994319 3211994327 Year: 2009 Publisher: New York, New York : SpringerWien,

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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).  .

Keywords

Algebra -- Data processing. --- Electronic books. -- local. --- Maple (Computer file). --- Mathematica (Computer file). --- Problem solving -- Data processing. --- Algebra --- Problem solving --- Computer Science --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Data processing --- Data processing. --- Maple (Computer file) --- Mathematica (Computer file) --- Mathematics. --- Computer science --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Computer mathematics. --- Computer software. --- Computational intelligence. --- Mathematical Software. --- Artificial Intelligence (incl. Robotics). --- Applications of Mathematics. --- Math Applications in Computer Science. --- Computational Intelligence. --- Computational Mathematics and Numerical Analysis. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Software, Computer --- Computer systems --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Math --- Science --- Computer science. --- Engineering. --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology --- Informatics --- Computer science—Mathematics.

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