Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming operations research business engineering and industry this book enables readers with a background in nonlinear optimization and linear algebra to use gams technology to understand and utilize its important . The series springer optimization and its applications aims to publish state of the art expository works monographs contributed volumes textbooks that focus on algorithms for solving optimization problems and also study applications involving such problems some of the topics covered include nonlinear optimization convex and nonconvex . This textbook covers the fundamentals of optimization including linear mixed integer linear nonlinear and dynamic optimization techniques with a clear engineering focus it carefully describes classical optimization models and algorithms using an engineering problem solving perspective and emphasizes modeling issues using many real world examples related to a variety of application areas. Nonlinear optimization with engineering applications is ideal for self study and classroom use in engineering courses at the senior undergraduate or graduate level the book will also appeal to postdocs and advanced researchers interested in the development and use of optimization algorithms. Nonlinear optimization with engineering applications springer optimization and its applications book 19 kindle edition by michael bartholomew biggs download it once and read it on your kindle device pc phones or tablets use features like bookmarks note taking and highlighting while reading nonlinear optimization with engineering applications springer optimization and its applications
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