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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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Comparing Heuristics for Solving Linear Bilevel Problems

combinatorial bilevel problem it is not easily solvable by means of linear programming. Therefore, different metaheuristic techniques, namely Tabu;

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121 Heuristics for Solving Problems

: - Understand the 121 Heuristics for problem solving, both from their descriptions and from selected examples; - Find the more promising Heuristic(s;

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The Use of Heuristics in Solving Non-Routine Problems in Algebra

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Advances in Linear Stochastic Programming

Multi-stage Stochastic Programming (MSP) has many practical applications for solving problems whose current resolution must be made while;

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Foundations of Bilevel Programming

by the main theoretical results including necessary and sufficient optimality conditions and solution algorithms for bilevel problems;

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Foundations of Bilevel Programming

by the main theoretical results including necessary and sufficient optimality conditions and solution algorithms for bilevel problems;

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Variational Analysis and Set Optimization

duality statements are given. New numerical methods for efficiently solving set optimization problems are provided. Moreover, applications;

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Variational Analysis and Set Optimization

duality statements are given. New numerical methods for efficiently solving set optimization problems are provided. Moreover, applications;

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Nonlinear Finite Element Methods

Finite element methods have become ever more important to engineers as tools for design and optimization, now even for solving non-linear;

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Handbook of Linear Partial Differential Equations for Engineers and Scientists

problems for numerical and approximate analytical methods for solving linear PDEs and systems of coupled PDEs New to the Second Edition;

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Computational Methods of Linear Algebra

write programs for solving linear algebraic problems. Highly readable FORTRAN and MATLAB codes are presented which solve all of the main;

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Computational Methods of Linear Algebra

write programs for solving linear algebraic problems. Highly readable FORTRAN and MATLAB codes are presented which solve all of the main;

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Applied Linear Algebra

Linear algebra permeates mathematics, as well as physics and engineering. In this text for junior and senior undergraduates, Sadun treats;

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Problem Solving in Mathematics Education

This survey book reviews four interrelated areas: (i) the relevance of heuristics in problem-solving approaches - why they are important;

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Numerical Linear Algebra and Matrix Factorizations

- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large and difficult to;

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Numerical Linear Algebra and Matrix Factorizations

- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large and difficult to;

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Semigroups of Linear Operators and Applications

This advanced monograph of semigroup theory explores semigroups of linear operators and linear Cauchy problems. Suitable for graduate;

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Dynamical Systems Method and Applications

Dynamical Systems Method (DSM) is a powerful general method for solving operator equations. These equations can be linear or nonlinear;

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Combinatorial Optimization

Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory;

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Numerical Linear Algebra: An Introduction

standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative;

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Numerical Linear Algebra

standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative;

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Linear Inverse Problems

The book describes a useful tool for solving linear inverse problems subject to convex constraints. The method of maximum entropy in the;

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Mathematical Programming for Operations Researchers and Computer Scientists

functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.;

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Numerical Linear Algebra for High-Performance Computers

Presents a unified treatment of recently developed techniques and current understanding about solving systems of linear equations and large;

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Orthogonal Sets And Polar Methods In Linear Algebra

A unique, applied approach to problem solving in linear algebra Departing from the standard methods of analysis, this unique book presents;

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Linear Algebra With Mathematica

examples provide step-by-step methods for solving basic problems using Mathematica. The subject's rich pertinence to problem solving across;

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