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Modeling and Optimization: Theory and Applications

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Cover of 'Modeling and Optimization: Theory and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Stochastic Decision Problems with Multiple Risk-Averse Agents
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    Chapter 2 Optimal Packing of General Ellipses in a Circle
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    Chapter 3 Column Generation Approach to the Convex Recoloring Problem on a Tree
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    Chapter 4 A Variational Inequality Formulation of a Migration Model with Random Data
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    Chapter 5 Identification in Mixed Variational Problems by Adjoint Methods with Applications
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    Chapter 6 Minimization of the L p -Norm, p ≥ 1 of Dirichlet-Type Boundary Controls for the 1D Wave Equation
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    Chapter 7 Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme Under Weak Strong Convexity Assumption
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    Chapter 8 Exact Separation of k -Projection Polytope Constraints
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    Chapter 9 Univariate Polynomial Optimization with Sum-of-Squares Interpolants
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