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Optimization and Industry: New Frontiers

2013-12-01 Mathematics
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Release : 2013-12-01
Genre : Mathematics
Kind : eBook
Book Rating : 331/5 ( reviews)

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Book Synopsis Optimization and Industry: New Frontiers by : Panos M. Pardalos

Download or read book Optimization and Industry: New Frontiers written by Panos M. Pardalos. This book was released on 2013-12-01. Available in PDF, EPUB and Kindle. Book excerpt: Optimization from Human Genes to Cutting Edge Technologies The challenges faced by industry today are so complex that they can only be solved through the help and participation of optimization ex perts. For example, many industries in e-commerce, finance, medicine, and engineering, face several computational challenges due to the mas sive data sets that arise in their applications. Some of the challenges include, extended memory algorithms and data structures, new program ming environments, software systems, cryptographic protocols, storage devices, data compression, mathematical and statistical methods for knowledge mining, and information visualization. With advances in computer and information systems technologies, and many interdisci plinary efforts, many of the "data avalanche challenges" are beginning to be addressed. Optimization is the most crucial component in these efforts. Nowadays, the main task of optimization is to investigate the cutting edge frontiers of these technologies and systems and find the best solutions for their realization. Optimization principles are evident in nature (the perfect optimizer) and appeared early in human history. Did you ever watch how a spider catches a fly or a mosquito? Usually a spider hides at the edge of its net. When a fly or a mosquito hits the net the spider will pick up each line in the net to choose the tense line? Some biologists explain that the line gives the shortest path from the spider to its prey.

Frontiers in Nature-Inspired Industrial Optimization

2021-08-06 Technology & Engineering
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Release : 2021-08-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 28X/5 ( reviews)

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Book Synopsis Frontiers in Nature-Inspired Industrial Optimization by : Mahdi Khosravy

Download or read book Frontiers in Nature-Inspired Industrial Optimization written by Mahdi Khosravy. This book was released on 2021-08-06. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field.

Optimization Software Guide

1993-01-01 Mathematics
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Release : 1993-01-01
Genre : Mathematics
Kind : eBook
Book Rating : 226/5 ( reviews)

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Book Synopsis Optimization Software Guide by : Jorge J. More

Download or read book Optimization Software Guide written by Jorge J. More. This book was released on 1993-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Numerical Analysis.

Frontiers in PDE-Constrained Optimization

2018-10-12 Mathematics
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Release : 2018-10-12
Genre : Mathematics
Kind : eBook
Book Rating : 368/5 ( reviews)

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Book Synopsis Frontiers in PDE-Constrained Optimization by : Harbir Antil

Download or read book Frontiers in PDE-Constrained Optimization written by Harbir Antil. This book was released on 2018-10-12. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging applications. Many science and engineering applications necessitate the solution of optimization problems constrained by physical laws that are described by systems of partial differential equations (PDEs)​. As a result, PDE-constrained optimization problems arise in a variety of disciplines including geophysics, earth and climate science, material science, chemical and mechanical engineering, medical imaging and physics. This volume is divided into two parts. The first part provides a comprehensive treatment of PDE-constrained optimization including discussions of problems constrained by PDEs with uncertain inputs and problems constrained by variational inequalities. Special emphasis is placed on algorithm development and numerical computation. In addition, a comprehensive treatment of inverse problems arising in the oil and gas industry is provided. The second part of this volume focuses on the application of PDE-constrained optimization, including problems in optimal control, optimal design, and inverse problems, among other topics.

Iterative Methods for Optimization

1999-01-01 Mathematics
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Release : 1999-01-01
Genre : Mathematics
Kind : eBook
Book Rating : 920/5 ( reviews)

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Book Synopsis Iterative Methods for Optimization by : C. T. Kelley

Download or read book Iterative Methods for Optimization written by C. T. Kelley. This book was released on 1999-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis rather than generality, and while it provides pointers to the literature for the most general theoretical results and robust software, the author thinks it is more important that readers have a complete understanding of special cases that convey essential ideas. A companion to Kelley's book, Iterative Methods for Linear and Nonlinear Equations (SIAM, 1995), this book contains many exercises and examples and can be used as a text, a tutorial for self-study, or a reference. Iterative Methods for Optimization does more than cover traditional gradient-based optimization: it is the first book to treat sampling methods, including the Hooke-Jeeves, implicit filtering, MDS, and Nelder-Mead schemes in a unified way, and also the first book to make connections between sampling methods and the traditional gradient-methods. Each of the main algorithms in the text is described in pseudocode, and a collection of MATLAB codes is available. Thus, readers can experiment with the algorithms in an easy way as well as implement them in other languages.

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