Linear optimisation; basic concepts; Dantzig's simplex method; duality and optimality; sensitivity analysis; karmarkar's interior path method; integer linear optimisation; linear network models; computational complexity issues; model building, case studies, and advanced techniques; solutions to selected exercises. Appendices: linear algebra; convexity; graph theory; optimisation theory; computer package INTPM.
"Abundant praise for the previous edition. . . ...this book is well-suited to accompany courses in operations research....mathematical theory is well motivated by interesting and plausible examples." ---Mathematical Reviews (1998) ..."very recommendable as a textbook and to anybody wishing to learn the topic." ---Optimization (1997) ..."the book is a nice balance between theory and applications....and gives a sound background for the techniques used and for investigating real problems." ---Zentralblatt f]r Mathematik (1998) ..."[a] clearly written textbook." ---Operations Research Spectrum (1998)
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