Introduction to Linear Optimization and Extensions with by Roy H. Kwon

By Roy H. Kwon

Filling the necessity for an introductory e-book on linear programming that discusses the $64000 how one can mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive but rigorous creation to trendy linear optimization. as well as primary issues, the e-book discusses present linear optimization applied sciences akin to predictor-path following inside element equipment for either linear and quadratic optimization in addition to the inclusion of linear optimization of uncertainty i.e. stochastic programming with recourse and strong optimization.


The writer introduces either stochastic programming and powerful optimization as frameworks to house parameter uncertainty. The author’s strange approach—developing those issues in an introductory book—highlights their value. on account that so much purposes require judgements to be made within the face of uncertainty, the early advent of those subject matters enables choice making in genuine international environments. the writer additionally comprises functions and case stories from finance and provide chain administration that contain using MATLAB.


Even even though there are a number of LP texts on the market, such a lot don't disguise information uncertainty utilizing stochastic programming and powerful optimization innovations. so much emphasize using MS Excel, whereas this e-book makes use of MATLAB that's the first instrument of many engineers, together with monetary engineers. The booklet specializes in state of the art tools for facing parameter uncertainty in linear programming, conscientiously constructing conception and strategies. yet extra importantly, the author’s meticulous recognition to constructing instinct prior to featuring idea makes the cloth come alive.

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