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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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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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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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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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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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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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Modeling and Optimization: Theory and Applications

algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and address the application of deterministic;

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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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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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Fundamentals of Optimization Techniques with Algorithms

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

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Optimization in Engineering

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization;

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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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Optimal Reliability Design

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

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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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Optimization in Operations Research

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

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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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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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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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Optimization in the Real World

This book clearly shows the importance, usefulness, and powerfulness of current optimization technologies, in particular, mixed-integer;

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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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Nonlinear Analysis and Global Optimization

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are;

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System Modelling and Optimization

System Modelling and Optimization covers research issues within systems theory, optimization, modelling, and computing. It includes;

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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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Computer Based Optimization Techniques

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

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Integer Programming and Combinatorial Optimization

This book constitutes the refereed proceedings of the 19th International Conference on Integer Programming and Combinatorial Optimization;

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Integer Programming and Combinatorial Optimization

This book constitutes the refereed proceedings of the 18th International Conference on Integer Programming and Combinatorial Optimization;

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