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Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are pre
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This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded
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This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the mo
A Derivative-free Two Level Random Search Method for Unconstrained Optimization
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The book is intended for graduate students and researchers in mathematics, computer science, and operational research. The book presents a new derivative-free o
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization
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Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the