In real-world problems related to finance, business, and management, mathematicians and economists frequently encounter optimization problems. In this classic book, George Dantzig looks at a wealth of examples and develops linear programming methods for their solutions. He begins by introducing the basic theory of linear inequalities and describes the powerful simplex method used to solve them. Treatments of the price concept, the transportation problem, and matrix methods are also given, and key mathematical concepts such as the properties of convex sets and linear vector spaces are covered.
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George B. Dantzig (1914–2005) is widely acclaimed as the father of linear programming and was a leading figure in the development of mathematical optimization, making important contributions to fields such as industrial engineering, economics, and statistics. He was professor emeritus of operations research and computer science at Stanford University.
"The author of this book was the main force in establishing a new mathematical discipline, and he has contributed to its further development at every stage and from every angle. This volume ... is a treasure trove for those who work in this field--teachers, students, and users alike. Its encyclopaedic coverage, due in part to collaboration with other experts, makes it an absolute must."--S. Vajda, Zentralblatt für Mathematik und ihre Grenzgebiete
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Condizione: New. In real-world problems related to finance, business, and management, mathematicians and economists frequently encounter optimization problems. This book develops linear programming methods for their solutions. It introduces the basic theory of linear inequalities and describes the simplex method used to solve them. Series: Princeton Landmarks in Mathematics & Physics. Num Pages: 656 pages, 99 figs. 64 tables. BIC Classification: KC; PBF; PBUH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 157 x 38. Weight in Grams: 910. . 1998. Paperback. . . . . Codice articolo V9780691059136
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