Linear Programming and Network Flows, now in its third edition, addresses the problem of minimizing or maximizing a linear function in the presence of linear equality or inequility constraints. This book: * Provides methods for modeling complex problems via effective algorithms on modern computers. * Presents the general theory and characteristics of optimization problems, along with effective solution algorithms. * Explores linear programming (LP) and network flows, employing polynomial-time algorithms and various specializations of the simplex method.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
MOKHTAR S. BAZARAA, PhD, is Managing Director for Global Logistics, The Logistics Institute, at Georgia Institute of Technology. He, along with Dr. Sherali, are coauthors of Nonlinear Programming: Theory and Algorithms (Wiley). JOHN J. JARVIS, PhD, is Professor Emeritus at Georgia Institute of Technology. HANIF D. SHERALI, PhD, is a W. Thomas Rice Chaired Professor of Engineering in the Grado Department of Industrial and Systems Engineering at Virginia Polytechnic and State University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Optimon Books, Gravesend, KENT, Royaume-Uni
Hardcover. Etat : Good. Comprehensively updated, this new edition addresses the problem of minimizing or maximising a linear function in the presence of linear equality or inequality constraints. It explores the practical aspects of building LP models, solving them on computer, & interpreting LP solutions. N° de réf. du vendeur 455385
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