Optimization In Science And Engineering

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Optimization in Science and Engineering

Author : Themistocles M. Rassias,Christodoulos A. Floudas,Sergiy Butenko
Publisher : Springer
Page : 610 pages
File Size : 53,7 Mb
Release : 2014-05-29
Category : Mathematics
ISBN : 9781493908080

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Optimization in Science and Engineering by Themistocles M. Rassias,Christodoulos A. Floudas,Sergiy Butenko Pdf

Optimization in Science and Engineering is dedicated in honor of the 60th birthday of Distinguished Professor Panos M. Pardalos. Pardalos’s past and ongoing work has made a significant impact on several theoretical and applied areas in modern optimization. As tribute to the diversity of Dr. Pardalos’s work in Optimization, this book comprises a collection of contributions from experts in various fields of this rich and diverse area of science. Topics highlight recent developments and include: Deterministic global optimization Variational inequalities and equilibrium problems Approximation and complexity in numerical optimization Non-smooth optimization Statistical models and data mining Applications of optimization in medicine, energy systems, and complex network analysis This volume will be of great interest to graduate students, researchers, and practitioners, in the fields of optimization and engineering.

Modern Optimization Methods for Science, Engineering and Technology

Author : G. R. Sinha
Publisher : Unknown
Page : 0 pages
File Size : 49,6 Mb
Release : 2019
Category : Electronic books
ISBN : 075032404X

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Modern Optimization Methods for Science, Engineering and Technology by G. R. Sinha Pdf

Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and every new generation of computers with their increased power and speed allows for the development and wider application of new types of solutions. This book defines the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner along with their potential applications and implementation strategies. It encompasses linear programming, multivariable methods for risk assessment, nonlinear methods, ant colony optimization, particle swarm optimization, multi-criterion and topology optimization, learning classifier, case studies on six sigma, performance measures and evaluation, multi-objective optimization problems, machine learning approaches, genetic algorithms and quality of service optimizations. The book will be very useful for wide spectrum of target readers including students and researchers in academia and industry.

Multicriteria Optimization in Engineering and in the Sciences

Author : Wolfram Stadler
Publisher : Springer Science & Business Media
Page : 442 pages
File Size : 52,5 Mb
Release : 1988-03-31
Category : Mathematics
ISBN : 0306427435

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Multicriteria Optimization in Engineering and in the Sciences by Wolfram Stadler Pdf

We are rarely asked to. make decisions based on only one criterion; most often, decisions are based on several usually confticting, criteria. In nature, if the design of a system evolves to some final, optimal state, then it must include a balance for the interaction of the system with its surroundings certainly a design based on a variety of criteria. Furthermore, the diversity of nature's designs suggests an infinity of such optimal states. In another sense, decisions simultaneously optimize a finite number of criteria, while there is usually an infinity of optimal solutions. Multicriteria optimization provides the mathematical framework to accommodate these demands. Multicriteria optimization has its roots in mathematical economics, in particular, in consumer economics as considered by Edgeworth and Pareto. The critical question in an exchange economy concerns the "equilibrium point" at which each of N consumers has achieved the best possible deal for hirnself or herself. Ultimately, this is a collective decision in which any further gain by one consumer can occur only at the expense of at least one other consumer. Such an equilibrium concept was first introduced by Edgeworth in 1881 in his book on mathematical psychics. Today, such an optimum is variously called "Pareto optimum" (after the Italian-French welfare economist who continued and expanded Edgeworth's work), "effi. cient," "nondominated," and so on.

Matrix, Numerical, and Optimization Methods in Science and Engineering

Author : Kevin W. Cassel
Publisher : Cambridge University Press
Page : 727 pages
File Size : 48,6 Mb
Release : 2021-03-04
Category : Mathematics
ISBN : 9781108479097

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Matrix, Numerical, and Optimization Methods in Science and Engineering by Kevin W. Cassel Pdf

Vector and matrix algebra -- Algebraic eigenproblems and their applications -- Differential eigenproblems and their applications -- Vector and matrix calculus -- Analysis of discrete dynamical systems -- Computational linear algebra -- Numerical methods for differential equations -- Finite-difference methods for boundary-value problems -- Finite-difference methods for initial-value problems -- Least-squares methods -- Data analysis : curve fitting and interpolation -- Optimization and root finding of algebraic systems -- Data-driven methods and reduced-order modeling.

Fixed-Point Algorithms for Inverse Problems in Science and Engineering

Author : Heinz H. Bauschke,Regina S. Burachik,Patrick L. Combettes,Veit Elser,D. Russell Luke,Henry Wolkowicz
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 50,8 Mb
Release : 2011-05-27
Category : Mathematics
ISBN : 9781441995698

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Fixed-Point Algorithms for Inverse Problems in Science and Engineering by Heinz H. Bauschke,Regina S. Burachik,Patrick L. Combettes,Veit Elser,D. Russell Luke,Henry Wolkowicz Pdf

"Fixed-Point Algorithms for Inverse Problems in Science and Engineering" presents some of the most recent work from top-notch researchers studying projection and other first-order fixed-point algorithms in several areas of mathematics and the applied sciences. The material presented provides a survey of the state-of-the-art theory and practice in fixed-point algorithms, identifying emerging problems driven by applications, and discussing new approaches for solving these problems. This book incorporates diverse perspectives from broad-ranging areas of research including, variational analysis, numerical linear algebra, biotechnology, materials science, computational solid-state physics, and chemistry. Topics presented include: Theory of Fixed-point algorithms: convex analysis, convex optimization, subdifferential calculus, nonsmooth analysis, proximal point methods, projection methods, resolvent and related fixed-point theoretic methods, and monotone operator theory. Numerical analysis of fixed-point algorithms: choice of step lengths, of weights, of blocks for block-iterative and parallel methods, and of relaxation parameters; regularization of ill-posed problems; numerical comparison of various methods. Areas of Applications: engineering (image and signal reconstruction and decompression problems), computer tomography and radiation treatment planning (convex feasibility problems), astronomy (adaptive optics), crystallography (molecular structure reconstruction), computational chemistry (molecular structure simulation) and other areas. Because of the variety of applications presented, this book can easily serve as a basis for new and innovated research and collaboration.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Author : Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush
Publisher : IGI Global
Page : 618 pages
File Size : 51,6 Mb
Release : 2018-06-15
Category : Technology & Engineering
ISBN : 9781522547679

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Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering by Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush Pdf

The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Numerical Optimization in Engineering and Sciences

Author : Debashis Dutta,Biswajit Mahanty
Publisher : Springer Nature
Page : 569 pages
File Size : 45,6 Mb
Release : 2020-04-07
Category : Technology & Engineering
ISBN : 9789811532153

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Numerical Optimization in Engineering and Sciences by Debashis Dutta,Biswajit Mahanty Pdf

This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current methods and latest results involving advanced optimization techniques. The contents provide a good balance between numerical models and analytical results obtained for different engineering problems and challenges. This book will be useful for students, researchers, and professionals interested in engineering optimization techniques.

Computational Management

Author : Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain
Publisher : Springer Nature
Page : 682 pages
File Size : 42,7 Mb
Release : 2021-05-29
Category : Technology & Engineering
ISBN : 9783030729295

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Computational Management by Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain Pdf

This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.

Optimization in Engineering

Author : Ramteen Sioshansi,Antonio J. Conejo
Publisher : Springer
Page : 412 pages
File Size : 48,8 Mb
Release : 2017-06-24
Category : Mathematics
ISBN : 9783319567693

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Optimization in Engineering by Ramteen Sioshansi,Antonio J. Conejo Pdf

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

Theory of Multiobjective Optimization

Author : Yoshikazu Sawaragi,HIROTAKA NAKAYAMA,TETSUZO TANINO
Publisher : Elsevier
Page : 322 pages
File Size : 43,5 Mb
Release : 1985-09-19
Category : Mathematics
ISBN : 0080958664

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Theory of Multiobjective Optimization by Yoshikazu Sawaragi,HIROTAKA NAKAYAMA,TETSUZO TANINO Pdf

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering

Global Optimization

Author : János D. Pintér
Publisher : Springer Science & Business Media
Page : 559 pages
File Size : 45,8 Mb
Release : 2006-10-13
Category : Mathematics
ISBN : 9780387309279

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Global Optimization by János D. Pintér Pdf

Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of Global Optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.

Optimization and Control Methods in Industrial Engineering and Construction

Author : Honglei Xu,Xiangyu Wang
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 47,8 Mb
Release : 2014-01-07
Category : Technology & Engineering
ISBN : 9789401780445

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Optimization and Control Methods in Industrial Engineering and Construction by Honglei Xu,Xiangyu Wang Pdf

This book presents recent advances in optimization and control methods with applications to industrial engineering and construction management. It consists of 15 chapters authored by recognized experts in a variety of fields including control and operation research, industrial engineering and project management. Topics include numerical methods in unconstrained optimization, robust optimal control problems, set splitting problems, optimum confidence interval analysis, a monitoring networks optimization survey, distributed fault detection, nonferrous industrial optimization approaches, neural networks in traffic flows, economic scheduling of CCHP systems, a project scheduling optimization survey, lean and agile construction project management, practical construction projects in Hong Kong, dynamic project management, production control in PC4P and target contracts optimization. The book offers a valuable reference work for scientists, engineers, researchers and practitioners in industrial engineering and construction management.

Practical Optimization

Author : Andreas Antoniou,Wu-Sheng Lu
Publisher : Springer Science & Business Media
Page : 675 pages
File Size : 50,6 Mb
Release : 2007-03-12
Category : Computers
ISBN : 9780387711065

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Practical Optimization by Andreas Antoniou,Wu-Sheng Lu Pdf

Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Optimization Techniques in Engineering

Author : Anita Khosla,Prasenjit Chatterjee,Ikbal Ali,Dheeraj Joshi
Publisher : John Wiley & Sons
Page : 548 pages
File Size : 50,9 Mb
Release : 2023-06-07
Category : Computers
ISBN : 9781119906278

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Optimization Techniques in Engineering by Anita Khosla,Prasenjit Chatterjee,Ikbal Ali,Dheeraj Joshi Pdf

OPTIMIZATION TECHNIQUES IN ENGINEERING The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained. This book aims to present some of the recent developments in the area of optimization theory, methods, and applications in engineering. It focuses on the metaphor of the inspired system and how to configure and apply the various algorithms. The book comprises 30 chapters and is organized into two parts: Part I — Soft Computing and Evolutionary-Based Optimization; and Part II — Decision Science and Simulation-Based Optimization, which contains application-based chapters. Readers and users will find in the book: An overview and brief background of optimization methods which are used very popularly in almost all applications of science, engineering, technology, and mathematics; An in-depth treatment of contributions to optimal learning and optimizing engineering systems; Maps out the relations between optimization and other mathematical topics and disciplines; A problem-solving approach and a large number of illustrative examples, leading to a step-by-step formulation and solving of optimization problems. Audience Researchers, industry professionals, academicians, and doctoral scholars in major domains of engineering, production, thermal, electrical, industrial, materials, design, computer engineering, and natural sciences. The book is also suitable for researchers and postgraduate students in mathematics, applied mathematics, and industrial mathematics.

Engineering Design Optimization

Author : Joaquim R. R. A. Martins,Andrew Ning
Publisher : Cambridge University Press
Page : 652 pages
File Size : 49,7 Mb
Release : 2021-11-18
Category : Mathematics
ISBN : 9781108833417

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Engineering Design Optimization by Joaquim R. R. A. Martins,Andrew Ning Pdf

A rigorous yet accessible graduate textbook covering both fundamental and advanced optimization theory and algorithms.