Numerical Analysis; Timothy Sauer; 2007

Numerical Analysis Upplaga 1

av Timothy Sauer
Numerical Analysis, designed to be used in a one-year course for students in engineering, science and mathematics, helps the student gain a deeper understanding of numerical analysis by highlighting the five major ideas of the discipline: Convergence, Complexity, Conditioning, Compression, and Orthogonality and connecting back to them throughout the text. Each chapter contains a Reality Check, an extended foray into a relevant application area that can be used as a springboard for individual or team projects. MATLAB is used throughout to demonstrate and implement numerical methods. (Pearson)
Numerical Analysis, designed to be used in a one-year course for students in engineering, science and mathematics, helps the student gain a deeper understanding of numerical analysis by highlighting the five major ideas of the discipline: Convergence, Complexity, Conditioning, Compression, and Orthogonality and connecting back to them throughout the text. Each chapter contains a Reality Check, an extended foray into a relevant application area that can be used as a springboard for individual or team projects. MATLAB is used throughout to demonstrate and implement numerical methods. (Pearson)
Upplaga: 1a upplagan
Utgiven: 2007
ISBN: 9780321461353
Förlag: Pearson
Format: Bok
Språk: Engelska
Sidor: 688 st
Numerical Analysis, designed to be used in a one-year course for students in engineering, science and mathematics, helps the student gain a deeper understanding of numerical analysis by highlighting the five major ideas of the discipline: Convergence, Complexity, Conditioning, Compression, and Orthogonality and connecting back to them throughout the text. Each chapter contains a Reality Check, an extended foray into a relevant application area that can be used as a springboard for individual or team projects. MATLAB is used throughout to demonstrate and implement numerical methods. (Pearson)
Numerical Analysis, designed to be used in a one-year course for students in engineering, science and mathematics, helps the student gain a deeper understanding of numerical analysis by highlighting the five major ideas of the discipline: Convergence, Complexity, Conditioning, Compression, and Orthogonality and connecting back to them throughout the text. Each chapter contains a Reality Check, an extended foray into a relevant application area that can be used as a springboard for individual or team projects. MATLAB is used throughout to demonstrate and implement numerical methods. (Pearson)
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