Linear and Nonlinear Optimization - Griva, Igor; Nash, Stephen G; Sofer, Ariela
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Flexible graduate textbook that introduces the applications, theory, and algorithms of linear and nonlinear optimization.

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Produktbeschreibung
Flexible graduate textbook that introduces the applications, theory, and algorithms of linear and nonlinear optimization.
Autorenporträt
Igor Griva received a B.Sc. and M.S. degree in applied mathematics in 1993 and 1994 from Moscow State University, Russia; and a Ph.D. in information technology in 2002 from George Mason University, where he is now an Assistant Professor of Computational Sciences and Mathematics in the College of Science. Prior to coming to George Mason University, he was a research associate at the Department of Financial Engineering and Operations Research in Princeton University. His research focuses on theory and methods of nonlinear optimization and their application to problems in science and engineering.