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Learning MATLAB : A Problem Solving Approach / by Walter Gander
(La Matematica per il 3+2. ISSN:20385757 ; 95)

1st ed. 2015.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2015
大きさ XIV, 149 p. 49 illus., 7 illus. in color : online resource
著者標目 *Gander, Walter author
SpringerLink (Online service)
件 名 LCSH:Algorithms
LCSH:Mathematics—Data processing
LCSH:Computer software
LCSH:Software engineering
LCSH:Application software
FREE:Algorithms
FREE:Computational Science and Engineering
FREE:Mathematical Software
FREE:Software Engineering
FREE:Computer and Information Systems Applications
一般注記 Chapter 1. Starting and Using Matlab -- Chapter 2. How a Computer Calculates -- Chapter 3. Plotting Functions and Curves -- Chapter 4. Some Elementary Functions -- Chapter 5. Computing with Multiple Precision -- Chapter 6. Solving Linear Equations -- Chapter 7. Recursion -- Chapter 8. Iteration and Nonlinear Equations -- Chapter 9. Simulation -- Chapter 10. Solutions of Problems -- Bibliography
This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014.  Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions
HTTP:URL=https://doi.org/10.1007/978-3-319-25327-5
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Springer eBooks 9783319253275
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EB00207897

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データ種別 電子ブック
分 類 LCC:QA76.9.A43
DC23:518.1
書誌ID 4000119809
ISBN 9783319253275

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