| Record ID | marc_columbia/Columbia-extract-20221130-007.mrc:113191282:3023 |
| Source | marc_columbia |
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LEADER: 03023mam a2200373 a 4500
001 3091308
005 20221019214846.0
008 010409t20022002mau b 001 0 eng
010 $a 2001031265
020 $a0072399104
020 $a007112229X
035 $a(OCoLC)ocm46809083
035 $9ATR9333CU
035 $a(NNC)3091308
035 $a3091308
040 $aDLC$cDLC$dOrLoB-B
050 00 $aQ183.9$b.H4 2002
082 00 $a519.4/0285$221
100 1 $aHeath, Michael T.$0http://id.loc.gov/authorities/names/n86065969
245 10 $aScientific computing :$ban introductory survey /$cMichael T. Heath.
250 $a2nd ed.
260 $aBoston :$bMcGraw-Hill,$c[2002], ©2002.
300 $axii, 563 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 523-548) and index.
505 00 $g1.$tScientific Computing --$g2.$tSystems of Linear Equations --$g3.$tLinear Least Squares --$g4.$tEigenvalue Problems --$g5.$tNonlinear Equations --$g6.$tOptimization --$g7.$tInterpolation --$g8.$tNumerical Integration and Differentiation --$g9.$tInitial Value Problems for ODEs --$g10.$tBoundary Value Problems for ODEs --$g11.$tPartial Differential Equations --$g12.$tFast Fourier Transform --$g13.$tRandom Numbers and Simulation.
520 1 $a"This book presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, software-oriented yet compatible with a variety of software packages and programming languages.
520 8 $aThe book features more than 160 examples, 500 review questions, 240 exercises, and 200 computer problems.".
520 8 $a"Changes for the second edition include: expanded motivational discussions and examples; formal statements of all major algorithms; expanded discussions of existence, uniqueness, and conditioning for each type of problem so that students can recognize "good" and "bad" problem formulations and understand the corresponding quality of results producted; and expanded coverage of several topics, particularly eigenvalues and constrained optimization.".
520 8 $a"The book contains a wealth of material and can be used in a variety of one- or two-term courses in computer science, mathematics, or engineering. Its comprehensiveness and modern perspective, as well as the software pointers provided, also make it a highly useful reference for practicing professionals who need to solve computational problems."--BOOK JACKET.
650 0 $aScience$xData processing.$0http://id.loc.gov/authorities/subjects/sh85118562
650 0 $aNumerical analysis$xData processing.$0http://id.loc.gov/authorities/subjects/sh2008108514
852 00 $boff,eng$hQ183.9$i.H4 2002