000			02117nam a2200217 4500
999			_c34339 _d34339
001			nam a22 7a 4500
020			_a9781470441142
082			_a519.6 MI MA
100			_aMiller, Steven J., _d1974- _919822
245			_aMathematics of optimization : _bhow to do things faster _cSteven J. Miller
260			_aProvidence : _bAmerican Mathematical Society, _cc2017.
300			_a353 p. : _bill. ;
490			_aPure and applied undergraduate texts
505			_aClassical algorithms: Efficient multiplication, efficient multiplication, IIIntroduction to linear programming: Introduction to linear programming. The canonical linear programming problemSymmetries and dualitiesBasic feasible and basic optimal solutions. The simplex methodAdvanced linear programming: Integer programmingInteger optimizationMulti-objective and quadratic programming. The traveling salesman problemIntroduction to stochastic linear programmingFixed point theorems: Introduction to fixed point theoremsContraction mapsSperner's lemmaBrouwer's fixed point theoremAdvanced topics: Gale-Shapley algorithmInterpolating functionsThe four colors problemThe Kepler conjectureIndexBibliography.
520			_aOptimization Theory is an active area of research with numerous applications; many of the books are designed for engineering classes, and thus have an emphasis on problems from such fields. Covering much of the same material, there is less emphasis on coding and detailed applications as the intended audience is more mathematical. There are still several important problems discussed (especially scheduling problems), but there is more emphasis on theory and less on the nuts and bolts of coding. A constant theme of the text is the "why" and the "how" in the subject. Why are we able to do a calcul.
650			_aMathematical optimization _xProblems, exercises, etc. _919823
650			_aOperations research _xProblems, exercises, etc. _919824
650			_aManagement science _xProblems, exercises, etc. _915233
856			_uhttps://uowd.box.com/s/qb1me0s3046evk008bsvl8f0v0cngh64 _zLocation Map
942			_2ddc _cREGULAR