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Stochastic Recursive Algorithms for Optimization

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement;

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Stochastic Approximation and Recursive Algorithms and Applications

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both;

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Stochastic Approximation and Recursive Algorithms and Applications

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both;

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Introduction To Stochastic Search And Optimization

A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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First-order and Stochastic Optimization Methods for Machine Learning

fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized;

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First-order and Stochastic Optimization Methods for Machine Learning

fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized;

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Intelligent Control

approaches/H theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic;

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Accelerated Optimization for Machine Learning

of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book;

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Accelerated Optimization for Machine Learning

of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book;

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Stochastic Algorithms: Foundations and Applications

This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications;

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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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Stochastic Processes

medicine etc), and expectation maximisation. The latter part of the book considers optimization algorithms, which can be used, for example, to help;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Brain Storm Optimization Algorithms

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human;

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Brain Storm Optimization Algorithms

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human;

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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

Focusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the;

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Optimization for Data Analysis

optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This;

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Stochastic Process Optimization using Aspen Plus (R)

, is not an exception; thus stochastic methods are a good option to solve optimization problems for the complex process engineering models;

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Stochastic Process Optimization using Aspen Plus (R)

exception; thus stochastic methods are a good option to solve optimization problems for the complex process engineering models. In this book, the;

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Optimization Models and Concepts in Production Management

Optimization techniques in production management are becoming increasingly important for efficient and competitive manufacturing. This book;

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Foundations of Computational Intelligence 03

, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures;

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The Recursive Book Of Recursion

Recursion, and recursive algorithms, have a reputation for being intimidating. But there's nothing magical about recursion. Its fearsome;

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