Nonlinear Optimization
09/2011 · Princeton University Press
Livro eletrónico
464
Páginas
family_home
Elegível
info
reportAs classificações e as críticas não são validadas Saiba mais
Acerca deste livro eletrónico
Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the optimization of nonlinear stochastic systems, integrates the theory and the methods of nonlinear optimization in a unified, clear, and mathematically rigorous fashion, with detailed and easy-to-follow proofs illustrated by numerous examples and figures.
The book covers convex analysis, the theory of optimality conditions, duality theory, and numerical methods for solving unconstrained and constrained optimization problems. It addresses not only classical material but also modern topics such as optimality conditions and numerical methods for problems involving nondifferentiable functions, semidefinite programming, metric regularity and stability theory of set-constrained systems, and sensitivity analysis of optimization problems.
Based on a decade's worth of notes the author compiled in successfully teaching the subject, this book will help readers to understand the mathematical foundations of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or construct numerical solution methods. It is a must for anyone seriously interested in optimization.
The book covers convex analysis, the theory of optimality conditions, duality theory, and numerical methods for solving unconstrained and constrained optimization problems. It addresses not only classical material but also modern topics such as optimality conditions and numerical methods for problems involving nondifferentiable functions, semidefinite programming, metric regularity and stability theory of set-constrained systems, and sensitivity analysis of optimization problems.
Based on a decade's worth of notes the author compiled in successfully teaching the subject, this book will help readers to understand the mathematical foundations of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or construct numerical solution methods. It is a must for anyone seriously interested in optimization.
Acerca do autor
Andrzej Ruszczynski is Professor of Operations Research at Rutgers University. He is the coauthor of Stochastic Programming and the coeditor of Decision Making under Uncertainty.
Classifique este livro eletrónico
Dê-nos a sua opinião.
Informações de leitura
Smartphones e tablets
Instale a app Google Play Livros para Android e iPad/iPhone. A aplicação é sincronizada automaticamente com a sua conta e permite-lhe ler online ou offline, onde quer que esteja.
Portáteis e computadores
Pode ouvir audiolivros comprados no Google Play através do navegador de Internet do seu computador.
eReaders e outros dispositivos
Para ler em dispositivos e-ink, como e-readers Kobo, tem de transferir um ficheiro e movê-lo para o seu dispositivo. Siga as instruções detalhadas do Centro de Ajuda para transferir os ficheiros para os e-readers suportados.
