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Optimization in Solving Elliptic Problems

Optimization in Solving Elliptic Problems focuses on one of the most interesting and challenging problems of computational mathematics;

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Numerical Solution of Elliptic Problems

A study of the art and science of solving elliptic problems numerically, with an emphasis on problems that have important scientific and;

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Applications of the Topological Derivative Method

The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse;

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Optimization Techniques for Solving Complex Problems

solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation;

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Discontinuous Galerkin Methods for Solving Elliptic and Parabolic Equations

Methods for Solving Elliptic and Parabolic Equation is divided into three parts: Part I focuses on the application of DG methods to second order;

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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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Algorithms for Large Scale Linear Algebraic Systems:

strategies for solving optimization problems. The most important topics dealt with concern iterative methods, especially Krylov methods, ordering;

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Advances in Learning Automata and Intelligent Optimization

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world;

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Data Correcting Approaches in Combinatorial Optimization

Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable;

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Ant Colony Optimization and Constraint Programming

programming languages, to describe problems in a declarative way, and the solving power of ant colony optimization to efficiently solve these problems.;

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Optimization of Elliptic Systems

The present monograph is intended to provide a comprehensive and accessible introduction to the optimization of elliptic systems. This area;

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Metaheuristics for String Problems in Bio-Informatics

sequences are constantly arising and researchers are highly in need of efficient optimization techniques for solving them. One obstacle for;

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Brits Speak Out

their theoretical analysis and introduces models for solving nonlinear programming problems and combinatorial optimization problems.;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Mathematical Problems in Shape Optimization and Shape Memory Materials

The book is devoted to nonlinear mathematical problems encountered in modern structural design: shape optimization and smart materials;

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Optimization Approaches for Solving String Selection Problems

Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics;

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Advances in Dynamics, Optimization and Computation

algorithms for computing general invariant sets, constructing globally optimal controllers and solving multi-objective optimization problems.;

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Algebraic Modeling Systems

This book Algebraic Modeling Systems - Modeling and Solving Real World Optimization Problems - deals with the aspects of modeling and;

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Modeling, Solving and Application for Topology Optimization of Continuum Structures

Modelling, Solving and Applications for Topology Optimization of Continuum Structures: ICM Method Based on Step Function provides an;

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Advances in Bio-inspired Combinatorial Optimization Problems illustrates several recent bio-inspired efficient algorithms for solving NP;

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Optimization Modelling

of practical problems. The book also discusses the use of available software packages in solving optimization models without going into difficult;

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Convex Optimization

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems;

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Metaheuristic Optimization

-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Two approaches are known for solving large-scale unconstrained optimization problems-the limited-memory quasi-Newton method (truncated;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Two approaches are known for solving large-scale unconstrained optimization problems-the limited-memory quasi-Newton method (truncated;

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Numerical Nonsmooth Optimization

Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this;

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