| 000 | 02357 am a2200325 i 4500 | ||
|---|---|---|---|
| 001 | 15017 | ||
| 005 | 20260105100828.0 | ||
| 008 | 031023s2004 enka b 001 0 eng | ||
| 020 | _a0521833787 | ||
| 035 | _a(OCoLC) | ||
| 040 |
_aBAUN _beng _cBAUN _erda |
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| 041 | 0 | _aeng | |
| 049 | _aBAUN_MERKEZ | ||
| 050 | 0 | 4 |
_aQA402.5 _b.B69 2004 |
| 100 | 1 |
_aBoyd, Stephen _eaut |
|
| 245 | 1 | 0 |
_aConvex optimization / _cStephen Boyd, Lieven Vandenberghe. |
| 264 | 1 |
_aCambridge: _bCambridge University, _b2004. |
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| 300 |
_a729 pages : _billustrations ; _c26 cm. |
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| 336 |
_2rdacontent _atext _btxt |
||
| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 504 | _aIncludes bibliographical references (pages [685]-696) and index. | ||
| 505 | 0 | 0 |
_gIntroduction -- _tConvex sets -- _tConvex functions -- _tConvex optimization problems -- _tDuality -- _tApproximation and fitting -- _tStatistical estimation -- _tGeometric problems -- _tUnconstrained minimization -- _tEquality constrained minimization -- _tInterior-point methods -- _gAppendices: A. _tMathematical background -- _gB. _tProblems involving two quadratic functions -- _gC. _tNumerical linear algebra background |
| 520 | _aFrom the publisher. Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics | ||
| 650 | 0 |
_aMathematical optimization. _926499 |
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| 650 | 0 | _aConvex functions. | |
| 700 | 1 |
_aVandenberghe, Lieven. _994877 _eaut |
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| 900 | _bsatın | ||
| 942 |
_2lcc _cKT |
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| 999 |
_c12823 _d12823 |
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