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Contemporary Algorithms for Solving Problems in Economics and Other Disciplines

fundamentals of numerical functional analysis, economic theory, and Newtonian physics. Some knowledge of computers and contemporary programming shall;

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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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Optimization in Solving Elliptic Problems

-order problems, and methods for solving classical elasticity problems. Furthermore, the text provides methods for managing basic iterative;

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A Contemporary Study of Iterative Methods

for aiding in the solution of advanced problems in engineering, mathematical economics, mathematical biology and other applied sciences;

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Algorithmic Combinatorics: Enumerative Combinatorics, Special Functions and Computer Algebra

graduate students, researchers to practitioners who are interested in solving concrete problems within mathematics and other research disciplines.;

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Algorithm Design Practice for Collegiate Programming Contests and Education

contests. It contains 247 problems selected from ACM-ICPC programming contests and other programming contests. There's detailed analysis for each;

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Optimization Techniques for Solving Complex Problems

, telecommunications, and bioinformatics. Part One-covers methodologies for complex problem solving including genetic programming, neural networks, genetic;

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Algorithms for Solving Financial Portfolio Design Problems

. Algorithms for Solving Financial Portfolio Design Problems: Emerging Research and Opportunities is a pivotal reference source that provides vital;

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A Framework for Alternation of Meta-Heuristic Algorithms

quality of found solutions in many cases. The main advantage of the framework is good scalability and extensibility for other algorithms and;

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Solving Geometric Constraint Systems

Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for;

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Data Correcting Approaches in Combinatorial Optimization

in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and;

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Stochastic Methods for Boundary Value Problems

Carlo methods for computing macromolecules properties and solving related problems Bibliography;

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Parametric Interval Algebraic Systems

This self-contained book presents a framework for solving a general class of linear systems with coefficients being continuous functions;

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Optimized Iterative Methods with Applications in Diverse Disciplines

containing such algorithms with applications in problems from numerical analysis and economics but also from other areas such as biology, chemistry;

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Two-Dimensional Phase Unwrapping

A resource like no other-the first comprehensive guide to phase unwrapping Phase unwrapping is a mathematical problem-solving technique;

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Differential Equations Workbk For Dummie

for studies in calculus and other advanced Differential equations are essential in physics, economics, engineering, and many other scientific;

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Multidisciplinary Economics

Multidisciplinary economics deliberately uses the insights and approaches of other disciplines and examines what consequences their;

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Algorithmic Problem Solving

An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving;

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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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Real-World Algorithms

, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics;

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Grokking Algorithms

DESCRIPTION Algorithms nothing more than step-by-step procedures for solving problems and most algorithms used by programmers have already;

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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems

Constraint programming is a successful technology for solving a wide range of problems in business and industry which require satisfying a;

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Allocation of Continuous Resources in Agent Systems

techniques for both single and multi-agent systems acting in uncertain domains. In modeling these domains, two types of uncertainty are considered;

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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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Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

Obstacle Avoidance in Multi-robot Systems: Experiments in Parallel Genetic Algorithms offers a novel framework for solving the path;

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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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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

iteration matrix, are also treated. For each method, the convergence analysis, the computational performances and the comparisons versus other;

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