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Optimization Principles

of these increasingly relied upon techniques. Making those techniques readily accessible is the hallmark of Optimization Principles: Practical;

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Practical Mathematical Optimization

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It;

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Practical Mathematical Optimization

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form;

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LTE Optimization Engineering Handbook

A thorough and complete examination of LTE networks, their operating principles and key insights to performance optimization. * A complete;

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Principles in Noisy Optimization

of evolutionary optimization, the book subsequently explores the principles of noisy optimization in single and multi-objective settings, and presents;

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Convex Optimization

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems;

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Optimization by Vector Space Methods

to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum;

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Engineering Optimization

Practice is the comprehensive book that covers the new and recent methods of optimization and reviews the principles and applications.;

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Adjoint Topology Optimization Theory for Nano-Optics

The book focuses on the topology optimization method for nano-optics. Both principles and implementing practice have been addressed, with;

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Swarm Intelligence Based Optimization

Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from;

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Modeling, Solving and Application for Topology Optimization of Continuum Structures

Modelling, Solving and Applications for Topology Optimization of Continuum Structures: ICM Method Based on Step Function provides an;

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Principles of Modern Digital Design

A major objective of this book is to fill the gap between traditional logic design principles and logic designoptimization techniques used;

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Nonlinear Analysis and Variational Problems

renowned mathematician. These contributions focus on recent developments in complementarity theory, variational principles, stability theory;

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Optimization In Operations Research

This book is specifically designed to change the way deterministic optimization is taught to introductory students. KEY TOPICS: Toward this;

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Algorithms for Convex Optimization

emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern;

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Algorithms for Convex Optimization

emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern;

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Optimization in Engineering Sciences

The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the;

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Computational Lithography

systems, electric magnetic field principles, and fundamentals of optimization; it goes on to describe algorithms for the development of optimal;

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Swarm Intelligence

Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods;

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Swarm Intelligence

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;

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Dose Optimization in Drug Development

This reference provides a concise overview of the key principles in dose selection and optimization and demonstrates applicability to;

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Environmental Systems Engineering and Economics

optimization and the linked simulation-optimization (LSO) methodology are also introduced. The basic principles of economics and engineering economics;

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Principles and Practice of Immunoassay

Each chapter of this book aims to explore the basic physical and chemical principles involved in the immunoassay techniques discussed. The;

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Fundamentals of Optimization: Methods, Minimum Principles, and Applications for Making Things Better

This textbook is for readers new or returning to the practice of optimization whose interest in the subject may relate to a wide range;

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Fundamentals of Optimization: Methods, Minimum Principles, and Applications for Making Things Better

This textbook is for readers new or returning to the practice of optimization whose interest in the subject may relate to a wide range;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta;

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Bayesian and High-Dimensional Global Optimization

principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues;

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