<p>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 introducti
Scientific Computing - An Introduction using Maple and MATLAB
โ Scribed by Walter Gander, Martin J. Gander, Felix Kwok
- Publisher
- Springer
- Year
- 2014
- Tongue
- English
- Leaves
- 926
- Edition
- 2014
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Computer Science;AI & Machine Learning;Bioinformatics;Computer Simulation;Cybernetics;Human-Computer Interaction;Information Theory;Robotics;Systems Analysis & Design;Computers & Technology;Algorithms;Data Structures;Genetic;Memory Management;Programming;Computers & Technology;Mathematical & Statistical;Software;Computers & Technology;Applied;Biomathematics;Differential Equations;Game Theory;Graph Theory;Linear Programming;Probability & Statistics;Statistics;Stochastic Modeling;Vector Analysis;M
๐ SIMILAR VOLUMES
From the reviews of the second edition: <BR><BR>"... The authors of this book have excelled by linking the title to two well-known mathematical packages, Maple and MATLAB. There are good reasons for this. Maple is supremely competent in symbolic mathematics and MATLAB in numerical and engineering ca
Modern computing tools like <I>Maple</I> (symbolic computation) and <I>Matlab</I> (a numeric computation and visualization program) make it possible to easily solve realistic nontrivial problems in scientific computing. In education, traditionally, complicated problems were avoided, since the amount
<P>Teaches problem-solving using two of the most important mathematical software packages: Maple and MATLAB.</P> <P></P> <P>This new edition contains five completely new chapters covering new developments.</P>
From the reviews: ".. An excellent reference on undergraduate mathematical computing."(American Mathematical Monthly)"...manuals for such systems (Maple and MATLAB) tend to use trivial examples, making it difficult for new users of such systems to quickly apply their power to real problems. The auth