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Mixed Integer Nonlinear Programming

relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear;

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Nonlinear and Mixed-Integer Optimization

This books presents the fundamentals of nonlinear and mixed-integer optimization, and their applications in the important area of process;

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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming

integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal;

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Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control

Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control;

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Business Optimization Using Mathematical Programming

, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed;

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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks

This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming;

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Solving Optimization Problems with MATLAB (R)

This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied;

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Relaxation Methods for Pure and Mixed Integer Programming Problems

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Integer Programming

methods to solve separable nonlinear integer-programming problems, the book discusses the generalized assignment problem (GAP). The final;

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Introduction to Linear Goal Programming

sensitivity analysis, and extensions of the methodology to integer as well as nonlinear models.;

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Disjunctive Programming

solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with;

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Facets of Combinatorial Optimization

submodular objective functions and more general mixed-integer nonlinear optimization problems. Applications include VLSI layout design, systems;

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Optimization in Operations Research

programming, network flows, integer/combinational optimization, and nonlinear programming. Emphasizes the importance of modeling and problem;

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Scheduling in Supply Chains Using Mixed Integer Programming

A unified, systematic approach to applying mixed integer programming solutions to integrated scheduling in customer-driven supply chains;

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Combinatorial, Linear, Integer and Nonlinear Optimization Apps

: Combinatorial Optimization, Linear Programming, and Integer and Nonlinear Programming (COLIN). Computer Science (CS) is also relevant and important;

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Integer Programming

in the development of mixed integer programming solvers in the 22 years since the first edition of the book appeared. The updated text includes;

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Integer and Combinatorial Optimization

explanations on why some problems are difficult to solve, how techniques can be reformulated to give better results, and how mixed integer programming;

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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming

management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming;

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Fundamentals of Optimization Techniques with Algorithms

nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired;

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Integer Programming and Related Areas

Integer Programming and Related Areas is een boek van R. Randow;

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Computer Based Optimization Techniques

transportation problem, assignment problem, dynamic programming, integer programming, nonlinear programming, queuing theory, and inventory models and;

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Theory Of Linear And Integer Programming

Theory of Linear and Integer Programming Alexander Schrijver Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands This book;

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Linear Programming and Algorithms for Communication Networks

programming and mixed integer programming problems, it explains typical problems and provides solutions for communication networks. The book provides;

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Linear Programming and Algorithms for Communication Networks

programming and mixed integer programming problems, it explains typical problems and provides solutions for communication networks. The book provides;

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Applied Integer Programming

Taking an application-oriented approach, Applied Integer Programming addresses the art and science of mathematical modeling related to MIP;

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Advanced Optimization for Process Systems Engineering

theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed;

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Optimal Reliability Design

, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools;

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