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Mathematical optimization --- Nonlinear programming --- 681.3*G16 --- Programming (Mathematics) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Mathematical optimization. --- Nonlinear programming. --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis)
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The new edition contains modifications and additions which take into account recent developments in the field. From the reviews of earlier editions: "The book is clearly written and lucidly structured. In particular, the used notations are thoroughly defined, the diverse ideas are well explained, and the results are beautifully motivated." (ZOR. Methods and Models of Operations Research). This book develops a systematic and unifying approach to the most important classes of constrained global optimization and their solution techniques. The main problem classes treated are concave minimization, reverse convex and d. c. programming, Lipschitz and continuous optimization, and systems of equations and inequalities.
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