Read Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124)

Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124)

Elijah Polak

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Description:This book covers algorithms and discretization procedures for the solution of nonlinear programming, semi-infinite optimization, and optimal control problems. Among the important features included are a theory of algorithms represented as point-to-set maps; the treatment of finite- and infinite-dimensional min-max problems with and without constraints; a theory of consistent approximations dealing with the convergence of approximating problems and master algorithms that call standard nonlinear programming algorithms as subroutines, which provides a framework for the solution of semi-infinite optimization, optimal control, and shape optimization problems with very general constraints; and the completeness with which algorithms are analyzed. Chapter 5 contains mathematical results needed in optimization from a large assortment of sources. Graduate students, university teachers, and optimization practitioners in applied mathematics, engineering, and economics will find this book useful.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124). To get started finding Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 0387949712

Description: This book covers algorithms and discretization procedures for the solution of nonlinear programming, semi-infinite optimization, and optimal control problems. Among the important features included are a theory of algorithms represented as point-to-set maps; the treatment of finite- and infinite-dimensional min-max problems with and without constraints; a theory of consistent approximations dealing with the convergence of approximating problems and master algorithms that call standard nonlinear programming algorithms as subroutines, which provides a framework for the solution of semi-infinite optimization, optimal control, and shape optimization problems with very general constraints; and the completeness with which algorithms are analyzed. Chapter 5 contains mathematical results needed in optimization from a large assortment of sources. Graduate students, university teachers, and optimization practitioners in applied mathematics, engineering, and economics will find this book useful.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124). To get started finding Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124)

Optimization: Algorithms and Consistent Approximations (Applied Mathematical Sciences, 124)

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