Learning MATLAB

A Problem Solving Approach

AvWalter Gander

Häftad, Engelska, 2015

Del 95 i serien UNITEXT

487 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2015-11-28
Mått:155 x 235 x 10 mm
Vikt:272 g
Format:Häftad
Språk:Engelska
Serie:UNITEXT
Antal sidor:149
Förlag:Springer International Publishing AG
ISBN:9783319253268

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Mer om författaren

Walter Gander, born May 24, 1944, from Saanen (BE), Switzerland. Education: Diploma in mathematics ETH Zürich 1968. Then assistant of H. Rutishauser in his new institute of computer science. Ph.D. in mathematics 1973, supervisor P.Henrici. From 1973 to 1987: Professor for numerical analysis and computer science at the University of Applied Sciences Neu-Technikum Buchs. 1977/78 Visiting Scientist at Stanford University. 1979 Habilitation and Privatdozent for numerical analysis at ETHZ. 1984, 1993 and 2006 sabbatical leaves again at Stanford University. From 1987 to 1991 associate, since 1991 full professor for computer science at ETH Zürich. From 1989 to 1997 head of the Institute of Scientific Computing. 1990 - 1992: chairmen of the faculty of computer science. 1989 -1991 head of the Swiss Supercomputer Initiative for acquiring the national supercomputer in Manno. From Fall 1997 to Fall 2001 chairman of the department and director of education of computer science. After his retirement from ETH in 2009, he became a guest professor at HKBU (Baptist University Hong Kong).

Innehållsförteckning

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.