| 000 | 02549nam a22004098i 4500 | ||
|---|---|---|---|
| 001 | CR9781316155516 | ||
| 005 | 20250919142038.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 140718s2015||||enk o ||1 0|eng|d | ||
| 020 | _a9781316155516 (ebook) | ||
| 020 | _z9781107095670 (hardback) | ||
| 020 | _z9781107479500 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA39.3 _b.H92 2015 |
| 082 | 0 | 0 |
_a518 _223 |
| 100 | 1 |
_aHutchinson, I. H. _q(Ian H.), _d1951- _eauthor. |
|
| 245 | 1 | 2 |
_aA student's guide to numerical methods / _cIan H. Hutchinson, Massachusetts Institute of Technology. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2015. |
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| 300 |
_a1 online resource (xiv, 207 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aThis concise, plain-language guide for senior undergraduates and graduate students aims to develop intuition, practical skills and an understanding of the framework of numerical methods for the physical sciences and engineering. It provides accessible self-contained explanations of mathematical principles, avoiding intimidating formal proofs. Worked examples and targeted exercises enable the student to master the realities of using numerical techniques for common needs such as solution of ordinary and partial differential equations, fitting experimental data, and simulation using particle and Monte Carlo methods. Topics are carefully selected and structured to build understanding, and illustrate key principles such as: accuracy, stability, order of convergence, iterative refinement, and computational effort estimation. Enrichment sections and in-depth footnotes form a springboard to more advanced material and provide additional background. Whether used for self-study, or as the basis of an accelerated introductory class, this compact textbook provides a thorough grounding in computational physics and engineering. | ||
| 650 | 0 | _aNumerical analysis. | |
| 650 | 0 | _aMeasurement. | |
| 650 | 0 | _aNumber concept. | |
| 650 | 0 | _aMatrices. | |
| 650 | 0 |
_aMathematics _xStudy and teaching. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781107095670 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9781316155516 |
| 907 |
_a.b16843447 _b2020-12-22 _c2020-12-22 |
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| 942 | _n0 | ||
| 998 |
_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16843447 |
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| 999 |
_c651688 _d651688 |
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