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Algorithm Engineering for Integral and Dynamic Problems

applicable only to restricted classes of algorithms. Algorithm Engineering for Integral and Dynamic Problems reviews the basic principles;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering;

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Algorithms for Solving Common Fixed Point Problems

foundational material and moves on to examine iterative methods in metric spaces. The dynamic string-averaging methods for common fixed point problems;

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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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Image Reconstruction

, Grangeat's Algorithm, Katsevich's Algorithm) 5.4 Mathematical Expressions (Backprojection-then-Filtering for Parallel Line-Integral Data, Filtered;

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The Nystrom Method in Electromagnetics

A comprehensive, step-by-step reference to the Nystroem Method for solving Electromagnetic problems using integral equations;

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New Optimization Algorithms and their Applications

algorithms presented, simulation results are given, and MATLAB codes are provided for the methods described. Over seven chapters, the book;

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Parallel Solution of Soil-Structure Interaction Problems

Numerical assessment of soil structure interaction problems require heavy computational efforts because of the dynamic and iterative;

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Heterogeneous Media

integral equation problems in heterogeneous media. The book starts by surveying the various numerical methods of analysis of static and dynamic;

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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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Design and Analysis of Algorithms

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives;

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Metaheuristics and Optimization in Civil Engineering

advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for;

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Integral Methods in Science and Engineering

Based on proceedings of the International Conference on Integral Methods in Science and Engineering, this collection of papers addresses;

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Optimizing Engineering Problems through Heuristic Techniques

evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony;

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Optimizing Engineering Problems through Heuristic Techniques

Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like;

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Static and Dynamic Analysis of Engineering Structures

Structures examines static and dynamic analysis of engineering structures for methodological and practical purposes. In one volume, the authors A;

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Computational Intelligence Optimization and Inverse Problems with Applications

metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions;

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The Boundary Integral Approach to Static and Dynamic Contact Problems

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Optimization for Engineering Problems

best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for;

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Applications of Flower Pollination Algorithm and its Variants

find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are;

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Applications of Bat Algorithm and its Variants

in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for;

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Problems on Algorithms

, and analysis of algorithms. To make this book suitable for self-instruction, about one-third of the algorithms are supported by solutions, and;

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Mathematical Programs with Equilibrium Constraints

programming algorithm and a piecewise sequential quadratic programming algorithm for MPECs. Results in the book are expected to have significant;

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Mathematical Programs with Equilibrium Constraints

programming algorithm and a piecewise sequential quadratic programming algorithm for MPECs. Results in the book are expected to have significant;

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Analysis and Implementation of Isogeometric Boundary Elements for Electromagnetism

discretisation of the electric field integral equation (EFIE). Theoretical properties and algorithms are described in detail. The algorithmic approach;

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Analysis and Implementation of Isogeometric Boundary Elements for Electromagnetism

discretisation of the electric field integral equation (EFIE). Theoretical properties and algorithms are described in detail. The algorithmic approach;

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Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization

The main purpose of this book is to present, in a unified approach, several algorithms for fixed point computation, convex feasibility and;

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