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
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.
300 _a729 pages :
_billustrations ;
_c26 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
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
650 0 _aConvex functions.
700 1 _aVandenberghe, Lieven.
_994877
_eaut
900 _bsatın
942 _2lcc
_cKT
999 _c12823
_d12823