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Large Scale Linear and Integer Optimization

This is a textbook about linear and integer linear optimization. There is a growing need in industries such as airline, trucking, and;

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Large Scale Linear and Integer Optimization

This is a textbook about linear and integer linear optimization. There is a growing need in industries such as airline, trucking, and;

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Operations Research Methodologies

manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear;

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Nonlinear and Mixed-Integer Optimization

elementary concepts of mixed-integer linear nonlinear optimization. Topics that are unique include the theory and methods for mixed-integer non;

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Linear and Integer Optimization

Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided;

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Linear and Integer Programming

Combines the theoretical and practical aspects of linear and integer programming. Provides practical case studies and techniques, including;

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AMPL

AMPL is a language for large-scale optimization and mathematical programming problems in production, distribution, blending, scheduling;

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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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Theory Of Linear And Integer Programming

of important recent developments in linear and integer programming. Applications to combinatorial optimization are given, and the author also includes;

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Linear and Convex Optimization

the formulation of large, data-driven optimization problems Inclusion of linear, integer, and convex optimization, covering many practically;

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Parallel Random Search Algorithm

adaptation and partial rollback procedure for constrained pseudo-Boolean optimization problems. Existing optimization algorithms are adapted for the;

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

Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only;

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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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Optimization Modelling Using R

focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an;

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Integer Programming

to maximize profit, and the final article contains an overview of noncommercial software tools for the solution of mixed-integer linear;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017;

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Optimization Theory for Large Syste

Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures;

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Facets of Combinatorial Optimization

cut approach for the max k-cut problem, mixed-integer nonlinear optimal control, and mixed-integer linear optimization for scheduling and;

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Integer and Combinatorial Optimization

Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION This book provides an excellent introduction and survey of traditional fields;

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

industry. New algorithms for solving linear and mixed-integer bilevel programming problems are presented and explained.;

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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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Optimization Techniques in Operation Research

discussed are: Linear programming, including duality and sensitivity analysis. Non-linear programming, including quadratic and separable;

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Linear Programming and Algorithms for Communication Networks

shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear;

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Linear Programming and Algorithms for Communication Networks

shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear;

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A First Course in Combinatorial Optimization

include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the;

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First Course In Combinatorial Optimization

include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the;

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Large-Scale Scientific Computing

decomposition and local refinement methods; Robust preconditioning algorithms; Monte Carlo methods and algorithms; Numerical linear algebra; Control;

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