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Modern Optimization with R

and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are;

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Applied Probabilistic Calculus for Financial Engineering

necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes;

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;

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Modern Portfolio Optimization with NuOPT(TM), S-PLUS®, and S+Bayes(TM)

comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods using the powerful NUOPT for S-PLUS optimizer.;

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Optimization Modelling Using R

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The;

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Optimization In Practice with MATLAB

Optimization in Practice with MATLAB (R) provides a unique approach to optimization education. It is accessible to both junior and senior;

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Data Envelopment Analysis with R

to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R;

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Data Envelopment Analysis with R

to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R;

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Engineering Optimization

Modern optimization techniques are widely applicable to many applications, and metaheuristics form a class of emerging powerful algorithms;

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Financial Risk Modelling & Portfolio Opt

Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply defined as;

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Response Surface Methodology

Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new;

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Thermal Power Plants

identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence;

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Thermal Power Plants

identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence;

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Optimization Modeling With Spreadsheets

An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third;

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Design Optimization using MATLAB and SOLIDWORKS

develop fundamental optimization methods before delving into MATLAB (R)'s optimization toolbox, and to link MATLAB's results with the results from;

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Numerical Methods and Optimization

introductory optimization courses into a single text. This classroom-tested approach enriches a standard numerical methods syllabus with optional;

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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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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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Swarm Intelligence

intelligence optimization methods, complete with illustrative examples and an extendable MATLAB (R) package for feature selection in wrapper mode;

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Classical And Modern Optimization

in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or;

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Classical And Modern Optimization

in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or;

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Engineering Design Optimization

, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also;

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Introduction to Linear Organization and Extensions With MATLAB

, Introduction to Linear Optimization and Extensions with MATLAB (R) provides a concrete and intuitive yet rigorous introduction to modern linear;

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Optimization for Chemical and Biochemical Engineering

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications;

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HPLC Made to Measure

of optimization in general, optimization in different LC-modi, hyphenated techniques and computer-aided optimization. The whole is rounded off with a;

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