By Michael C. Ferris, Stephen J. Wright
This textbook presents a self-contained advent to linear programming utilizing MATLAB® software program to clarify the advance of algorithms and conception. Early chapters disguise linear algebra fundamentals, the simplex approach, duality, the fixing of huge linear difficulties, sensitivity research, and parametric linear programming. In later chapters, the authors speak about quadratic programming, linear complementarity, interior-point equipment, and chosen functions of linear programming to approximation and type difficulties. routines are interwoven with the speculation provided in each one bankruptcy, and appendices offer additional info on linear algebra, convexity, nonlinear capabilities, and on on hand MATLAB instructions, respectively. Readers can entry MATLAB codes and linked mex documents at an internet site maintained via the authors. just a uncomplicated wisdom of linear algebra and calculus is needed to appreciate this textbook, that's aimed at junior and senior-level undergraduate scholars, first-year graduate scholars, and researchers unexpected with linear programming.
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