theory, algorithms and applications with Python and MATLAB Beck, Amir creator author. text bibliography pau Philadelphia Society for Industrial and Applied Mathematics 2023 Second edition. monographic eng xxi, 351 pages : illustrations (some color). "This book is a modern introduction to the area of optimization. Its objective is to provide the foundations of theory and algorithms of nonlinear optimization, as well as to present a variety of applications from diverse areas of applied sciences"-- Mathematical preliminaries -- Optimality conditions for unconstrained optimization -- Least squares -- The gradient method -- Newton's method -- Convex sets -- Convex functions -- Convex optimization -- Optimization over a convex set -- Optimality conditions for linearly constrined problems -- The KKT conditions -- Duality. specialized Amir Beck Includes bibliographical references (pages 434-347) and index. Mathematical optimization Nonlinear theories Functional analysis Miscellaneous applications of functional analysis Applications in optimization, convex analysis, mathematical programming, economics Calculus of variations and optimal control; optimization Optimality conditions None of the above, but in this section 519.7 Beck, Amir. Philadelphia : Society for Industrial and Applied Mathematics, [2023] Second edition. (DLC) 2023009071 9781611977615 2023009070 DLC 230314 20260326122027.0 eng