Additional information
| Full Title | Numerical Analysis for Engineers and Scientists 1st Edition |
|---|---|
| Author(s) | G. Miller |
| Edition | 1st Edition |
| ISBN | 9781139904490, 9781107021082 |
| Publisher | Cambridge University Press |
| Format | PDF and EPUB |
Availability: In Stock
Numerical Analysis for Engineers and Scientists 1st Edition
SKU: 9781139904490
Original price was: $94.00.$24.99Current price is: $24.99.
Access Numerical Analysis for Engineers and Scientists 1st Edition Now. Discount up to 90%
Book Information
Description
Description
Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. The author provides a clear introduction to the classical methods, how they work and why they sometimes fail. Crucially, he also demonstrates how these simple and classical techniques can be combined to address difficult problems. Many worked examples and sample programs are provided to help the reader make practical use of the subject material. Further mathematical background, if required, is summarized in an appendix. Topics covered include classical methods for linear systems, eigenvalues, interpolation and integration, ODEs and data fitting, and also more modern ideas like adaptivity and stochastic differential equations.
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Numerical Analysis for Engineers and Scientists 1st Edition
SKU: 9781139898546
Original price was: $88.99.$24.99Current price is: $24.99.
Access Numerical Analysis for Engineers and Scientists 1st Edition Now. Discount up to 90%
Book Information
Additional information
| Full Title | Numerical Analysis for Engineers and Scientists 1st Edition |
|---|---|
| Author(s) | G. Miller |
| Edition | 1st Edition |
| ISBN | 9781139898546, 9781107021082 |
| Publisher | Cambridge University Press |
| Format | PDF and EPUB |
Description
Description
Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. The author provides a clear introduction to the classical methods, how they work and why they sometimes fail. Crucially, he also demonstrates how these simple and classical techniques can be combined to address difficult problems. Many worked examples and sample programs are provided to help the reader make practical use of the subject material. Further mathematical background, if required, is summarized in an appendix. Topics covered include classical methods for linear systems, eigenvalues, interpolation and integration, ODEs and data fitting, and also more modern ideas like adaptivity and stochastic differential equations.
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