TY  - BOOK
AU  - Beck,Amir
TI  - Introduction to nonlinear optimization: theory, algorithms and applications with Python and MATLAB 
T2  - MOS-SIAM series on optimization
SN  - 9781611977615
U1  - 519.7 
PY  - 2023///
CY  - Philadelphia
PB  - Society for Industrial and Applied Mathematics
KW  - MATLAB
KW  - Mathematical optimization
KW  - Nonlinear theories
KW  - Functional analysis
KW  - msc
KW  - Miscellaneous applications of functional analysis
KW  - Applications in optimization, convex analysis, mathematical programming, economics
KW  - Calculus of variations and optimal control; optimization
KW  - Optimality conditions
KW  - None of the above, but in this section
N1  - Includes bibliographical references (pages 434-347) and index; 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
N2  - "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"--
ER  -