Beck, Amir, <br/><br/>
Introduction to nonlinear optimization :  theory, algorithms and applications with Python and MATLAB / 
Amir Beck 
 - Second edition. 
 - Philadelphia :  Society for Industrial and Applied Mathematics,  2023 
 - xxi, 351 pages :  illustrations (some color). 
 - MOS-SIAM series on optimization .
<br/><br/>Includes bibliographical references (pages 434-347) and index. 
<br/><br/>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. 
<br/><br/> "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"-- 
<br/><br/><label>ISBN: </label>9781611977615 
<br/><br/><label>LCCN: </label>2023009070 
<br/><br/><label>Subjects--Uniform Titles: </label><br/>MATLAB.
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical optimization.<br/>Nonlinear theories.<br/>Functional analysis--Miscellaneous applications of functional analysis--Applications in optimization, convex analysis, mathematical programming, economics.<br/>Calculus of variations and optimal control; optimization--Optimality conditions--None of the above, but in this section.
<br/><br/><label>Dewey Class. No.: </label>519.7