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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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Algorithm Design Practice for Collegiate Programming Contests and Education

This book can be used as an experiment and reference book for algorithm design courses, as well as a training manual for programming;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Data Correcting Approaches in Combinatorial Optimization

special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide;

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Optimization in Solving Elliptic Problems

- the optimization of numerical algorithms for solving elliptic problems. It presents detailed discussions of how asymptotically optimal;

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Algorithms

This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development. The heart;

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Algorithms

to formulate solutions, and the context appropriate for each of them.This book presents a design thinking approach to problem solving;

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Analysis and Design of Algorithms

, based on learning algorithm design techniques, and not merely solving a collection of problems. This allows students to master one design;

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Analysis and Design of Algorithms

, based on learning algorithm design techniques, and not merely solving a collection of problems. This allows students to master one design;

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Analysis and Design of Algorithms

, based on learning algorithm design techniques, and not merely solving a collection of problems. This allows students to master one design;

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization;

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Nature Inspired Computation in Navigation and Routing Problems

methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative;

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Nature Inspired Computation in Navigation and Routing Problems

methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative;

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Optimization

develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it;

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Algorithms for Interviews

modeling and dynamic programming; advanced topics, such as strings, parallelism and intractability. It also covers system design, problem solving;

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Parallel Processing of Discrete Problems

of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization;

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Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

Features: Covers bio-inspired solutions pertaining to Network-on-Chip (NoC) design solving real world examples Includes bio-inspired NoC;

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The Fitted Finite Volume and Power Penalty Methods for Option Pricing

volume, finite difference and penalty-based algorithms for solving the models and (iii) stability and convergence analysis of the algorithms. It;

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Optimization Methods in Finance

portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with;

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Financial Decision Making Using Computational Intelligence

in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.;

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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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40 Algorithms Every Programmer Should Know

to know to design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore;

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PASCAL Programming and Problem Solving

science employs Pascal for implementation programs. Gonzalez and Robbins provide details on the design of algorithms before giving the problem;

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Essential Algorithms

An algorithm is a specification of instructions for solving a class of problems by performing calculations and performing automated;

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Stochastic Methods for Boundary Value Problems

This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical;

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Algorithmics for Hard Problems

Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current;

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Handbook of Numerical Methods for Hyperbolic Problems

Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design;

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