| Edition |
Python edition. |
| Description |
xv, 674 pages : illustrations ; 25 cm |
|
text txt rdacontent |
|
unmediated n rdamedia |
|
volume nc rdacarrier |
| Bibliography |
Includes bibliographical references (pages 657-666) and index. |
| Summary |
"This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations. Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language. This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra"-- Provided by publisher. |
| Subject |
Numerical analysis.
|
|
Numerical analysis -- Problems, exercises, etc.
|
|
Python (Computer program language)
|
|
Numerical analysis. (OCoLC)fst01041273
|
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Python (Computer program language) (OCoLC)fst01084736
|
| Genre/Form |
Problems and exercises. (OCoLC)fst01423783
|
| Added Author |
Sumner, Amber C., author.
|
|
Montiforte, Vivian A., author.
|
| ISBN |
9789811227936 hardcover |
|
9811227934 hardcover |
|
9789811229343 paperback |
|
9811229341 paperback |
|
9789811227943 electronic book for institutions |
|
9789811227950 electronic book for individuals |
|
