| 000 | 01779nam a22002057a 4500 | ||
|---|---|---|---|
| 005 | 20230311094100.0 | ||
| 008 | 230311b ||||| |||| 00| 0 eng d | ||
| 020 | _a978149871962 | ||
| 040 | _cAL | ||
| 041 | _aeng | ||
| 082 |
_223 _a518.6 _bSTEH |
||
| 100 |
_aFrank Stenger _975018 |
||
| 245 | _aHandbook of sinc numerical methods | ||
| 260 |
_aNew York _bCRC Press _c2018 |
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| 300 |
_axx,463p. _bHB _c23x15cm. |
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| 365 |
_2General _a8197 _b₹2964.00 _c₹ _d₹3800 _e22% _f3-03-2023 |
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| 520 | _aHandbook of Sinc Numerical Methods presents an ideal road map for handling general numeric problems. Reflecting the author’s advances with Sinc since 1995, the text most notably provides a detailed exposition of the Sinc separation of variables method for numerically solving the full range of partial differential equations (PDEs) of interest to scientists and engineers. This new theory, which combines Sinc convolution with the boundary integral equation (IE) approach, makes for exponentially faster convergence to solutions of differential equations. The basis for the approach is the Sinc method of approximating almost every type of operation stemming from calculus via easily computed matrices of very low dimension.The downloadable resources of this handbook contain roughly 450 MATLAB® programs corresponding to exponentially convergent numerical algorithms for solving nearly every computational problem of science and engineering. While the book makes Sinc methods accessible to users wanting to bypass the complete theory, it also offers sufficient theoretical details for readers who do want a full working understanding of this exciting area of numerical analysis. | ||
| 650 |
_2Natural Sciences and Mathematics _aNumerical Analysis _975019 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c226990 _d226990 |
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