Nonlinear Optimization In Electrical Engineering With Applications In Matlab

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB®

Mohamed Bakr
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB Book PDF

Author : Mohamed Bakr
Publisher : IET
Page : 325 pages
File Size : 47,9 Mb
Release : 2013-09-09
Category : Computers
ISBN : 9781849195430

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB® by Mohamed Bakr Pdf

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB® provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications such as the design of electric, microwave, and photonic circuits, wireless communications, and digital filter design.

Introduction to Nonlinear Optimization

Amir Beck
Introduction to Nonlinear Optimization Book PDF

Author : Amir Beck
Publisher : SIAM
Page : 364 pages
File Size : 55,7 Mb
Release : 2023-06-29
Category : Mathematics
ISBN : 9781611977622

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Introduction to Nonlinear Optimization by Amir Beck Pdf

Built on the framework of the successful first edition, this book serves as a modern introduction to the field of optimization. The author’s objective is to provide the foundations of theory and algorithms of nonlinear optimization as well as to present a variety of applications from diverse areas of applied sciences. Introduction to Nonlinear Optimization gradually yet rigorously builds connections between theory, algorithms, applications, and actual implementation. The book contains several topics not typically included in optimization books, such as optimality conditions in sparsity constrained optimization, hidden convexity, and total least squares. Readers will discover a wide array of applications such as circle fitting, Chebyshev center, the Fermat–Weber problem, denoising, clustering, total least squares, and orthogonal regression. These applications are studied both theoretically and algorithmically, illustrating concepts such as duality. Python and MATLAB programs are used to show how the theory can be implemented. The extremely popular CVX toolbox (MATLAB) and CVXPY module (Python) are described and used. More than 250 theoretical, algorithmic, and numerical exercises enhance the reader's understanding of the topics. (More than 70 of the exercises provide detailed solutions, and many others are provided with final answers.) The theoretical and algorithmic topics are illustrated by Python and MATLAB examples. This book is intended for graduate or advanced undergraduate students in mathematics, computer science, electrical engineering, and potentially other engineering disciplines.

Optimization in Electrical Engineering

Mohammad Fathi,Hassan Bevrani
Optimization in Electrical Engineering Book PDF

Author : Mohammad Fathi,Hassan Bevrani
Publisher : Springer
Page : 174 pages
File Size : 42,8 Mb
Release : 2019-03-01
Category : Technology & Engineering
ISBN : 9783030053093

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Optimization in Electrical Engineering by Mohammad Fathi,Hassan Bevrani Pdf

This textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization methodologies. The reader is motivated to engage with the content via numerous application examples of optimization in the area of electrical engineering. The book begins with an extended review of linear algebra that is a prerequisite to mathematical optimization. It then precedes with unconstrained optimization, convex programming, duality, linear matrix inequality, and intelligent optimization methods. This book can be used as the main text in courses such as Engineering Optimization, Convex Engineering Optimization, Advanced Engineering Mathematics and Robust Optimization and will be useful for practicing design engineers in electrical engineering fields. Author provided cases studies and worked examples are included for student and instructor use.

Introduction to Unconstrained Optimization with R

Shashi Kant Mishra,Bhagwat Ram
Introduction to Unconstrained Optimization with R Book PDF

Author : Shashi Kant Mishra,Bhagwat Ram
Publisher : Springer Nature
Page : 309 pages
File Size : 50,6 Mb
Release : 2019-12-17
Category : Mathematics
ISBN : 9789811508943

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Introduction to Unconstrained Optimization with R by Shashi Kant Mishra,Bhagwat Ram Pdf

This book discusses unconstrained optimization with R—a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.

Diagnosis, Fault Detection & Tolerant Control

Nabil Derbel,Jawhar Ghommam,Quanmin Zhu
Diagnosis Fault Detection Tolerant Control Book PDF

Author : Nabil Derbel,Jawhar Ghommam,Quanmin Zhu
Publisher : Springer Nature
Page : 331 pages
File Size : 40,8 Mb
Release : 2020-02-20
Category : Technology & Engineering
ISBN : 9789811517464

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Diagnosis, Fault Detection & Tolerant Control by Nabil Derbel,Jawhar Ghommam,Quanmin Zhu Pdf

This book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.

Optimization of Power System Problems

Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo
Optimization of Power System Problems Book PDF

Author : Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo
Publisher : Springer Nature
Page : 386 pages
File Size : 47,9 Mb
Release : 2020-01-06
Category : Technology & Engineering
ISBN : 9783030340506

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Optimization of Power System Problems by Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo Pdf

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

Applied Optimization with MATLAB Programming

P. Venkataraman
Applied Optimization with MATLAB Programming Book PDF

Author : P. Venkataraman
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 45,9 Mb
Release : 2009-03-23
Category : Technology & Engineering
ISBN : 9780470084885

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Applied Optimization with MATLAB Programming by P. Venkataraman Pdf

Technology/Engineering/Mechanical Provides all the tools needed to begin solving optimization problems using MATLAB® The Second Edition of Applied Optimization with MATLAB® Programming enables readers to harness all the features of MATLAB® to solve optimization problems using a variety of linear and nonlinear design optimization techniques. By breaking down complex mathematical concepts into simple ideas and offering plenty of easy-to-follow examples, this text is an ideal introduction to the field. Examples come from all engineering disciplines as well as science, economics, operations research, and mathematics, helping readers understand how to apply optimization techniques to solve actual problems. This Second Edition has been thoroughly revised, incorporating current optimization techniques as well as the improved MATLAB® tools. Two important new features of the text are: Introduction to the scan and zoom method, providing a simple, effective technique that works for unconstrained, constrained, and global optimization problems New chapter, Hybrid Mathematics: An Application, using examples to illustrate how optimization can develop analytical or explicit solutions to differential systems and data-fitting problems Each chapter ends with a set of problems that give readers an opportunity to put their new skills into practice. Almost all of the numerical techniques covered in the text are supported by MATLAB® code, which readers can download on the text's companion Web site www.wiley.com/go/venkat2e and use to begin solving problems on their own. This text is recommended for upper-level undergraduate and graduate students in all areas of engineering as well as other disciplines that use optimization techniques to solve design problems.

Introduction to Nonlinear Optimization

Amir Beck
Introduction to Nonlinear Optimization Book PDF

Author : Amir Beck
Publisher : SIAM
Page : 282 pages
File Size : 52,5 Mb
Release : 2014-10-27
Category : Mathematics
ISBN : 9781611973655

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Introduction to Nonlinear Optimization by Amir Beck Pdf

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization?theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems?and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 theoretical, algorithmic, and numerical exercises that deepen and enhance the reader's understanding of the topics. The author includes offers several subjects not typically found in optimization books?for example, optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. The book also offers a large number of applications discussed theoretically and algorithmically, such as circle fitting, Chebyshev center, the Fermat?Weber problem, denoising, clustering, total least squares, and orthogonal regression and theoretical and algorithmic topics demonstrated by the MATLAB? toolbox CVX and a package of m-files that is posted on the book?s web site.

Optimization Techniques With MATLAB

Subrata Pandey
Optimization Techniques With MATLAB Book PDF

Author : Subrata Pandey
Publisher : SUBRATA PANDEY
Page : 48 pages
File Size : 48,6 Mb
Release : 2023-03-03
Category : Technology & Engineering
ISBN : 8210379456XXX

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Optimization Techniques With MATLAB by Subrata Pandey Pdf

Optimization is a critical area in the fields of science, engineering, and mathematics. It involves finding the optimal solution among feasible alternatives to satisfy certain constraints. Optimization techniques can be applied to a wide range of applications, including finance, machine learning, signal processing, control systems, and many others. This book provides a comprehensive introduction to optimization techniques and their implementation using MATLAB. MATLAB is a powerful computational tool widely used in academia and industry for numerical analysis and scientific computing. The combination of optimization techniques and MATLAB provides a powerful framework for solving complex problems in a variety of fields.

Advances in Time-Domain Computational Electromagnetic Methods

Qiang Ren,Su Yan,Atef Z. Elsherbeni
Advances in Time Domain Computational Electromagnetic Methods Book PDF

Author : Qiang Ren,Su Yan,Atef Z. Elsherbeni
Publisher : John Wiley & Sons
Page : 724 pages
File Size : 53,5 Mb
Release : 2022-11-15
Category : Science
ISBN : 9781119808398

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Advances in Time-Domain Computational Electromagnetic Methods by Qiang Ren,Su Yan,Atef Z. Elsherbeni Pdf

Advances in Time-Domain Computational Electromagnetic Methods Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms Advances in Time-Domain Computational Electromagnetic Methods delivers a thorough exploration of recent developments in time domain computational methods for solving complex electromagnetic problems. The book discusses the main time domain computational electromagnetics techniques, including finite-difference time domain (FDTD), finite-element time domain (FETD), discontinuous Galerkin time domain (DGTD), time domain integral equation (TDIE), and other methods in electromagnetic, multiphysics modeling and simulation, and antenna designs. The book bridges the gap between academic research and real engineering applications by comprehensively surveying the full picture of current state-of-the-art time domain electromagnetic simulation techniques. Among other topics, it offers readers discussions of automatic load balancing schemes for DG-FETD/SETD methods and convolution quadrature time domain integral equation methods for electromagnetic scattering. Advances in Time-Domain Computational Electromagnetic Methods also includes: Introductions to cylindrical, spherical, and symplectic FDTD, as well as FDTD for metasurfaces with GSTC and FDTD for nonlinear metasurfaces Explorations of FETD for dispersive and nonlinear media and SETD-DDM for periodic/ quasi-periodic arrays Discussions of TDIE, including explicit marching-on-in-time solvers for second-kind time domain integral equations, TD-SIE DDM, and convolution quadrature time domain integral equation methods for electromagnetic scattering Treatments of deep learning, including time domain electromagnetic forward and inverse modeling using a differentiable programming platform Ideal for undergraduate and graduate students studying the design and development of various kinds of communication systems, as well as professionals working in these fields, Advances in Time-Domain Computational Electromagnetic Methods is also an invaluable resource for those taking advanced graduate courses in computational electromagnetic methods and simulation techniques.

Introduction to Nonlinear Optimization

Amir Beck
Introduction to Nonlinear Optimization Book PDF

Author : Amir Beck
Publisher : SIAM
Page : 286 pages
File Size : 45,8 Mb
Release : 2014-10-27
Category : Mathematics
ISBN : 9781611973648

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Introduction to Nonlinear Optimization by Amir Beck Pdf

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization?theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems?and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 theoretical, algorithmic, and numerical exercises that deepen and enhance the reader's understanding of the topics. The author includes offers several subjects not typically found in optimization books?for example, optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. The book also offers a large number of applications discussed theoretically and algorithmically, such as circle fitting, Chebyshev center, the Fermat?Weber problem, denoising, clustering, total least squares, and orthogonal regression and theoretical and algorithmic topics demonstrated by the MATLAB? toolbox CVX and a package of m-files that is posted on the book?s web site.

Optimization in Practice with MATLAB®

Achille Messac
Optimization in Practice with MATLAB Book PDF

Author : Achille Messac
Publisher : Cambridge University Press
Page : 503 pages
File Size : 47,8 Mb
Release : 2015-03-19
Category : Technology & Engineering
ISBN : 9781316381373

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Optimization in Practice with MATLAB® by Achille Messac Pdf

Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to both junior and senior undergraduate and graduate students, as well as industry practitioners. It provides a strongly practical perspective that allows the student to be ready to use optimization in the workplace. It covers traditional materials, as well as important topics previously unavailable in optimization books (e.g. numerical essentials - for successful optimization). Written with both the reader and the instructor in mind, Optimization in Practice with MATLAB® provides practical applications of real-world problems using MATLAB®, with a suite of practical examples and exercises that help the students link the theoretical, the analytical, and the computational in each chapter. Additionally, supporting MATLAB® m-files are available for download via www.cambridge.org.messac. Lastly, adopting instructors will receive a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter, and the text's unique flexibility enables instructors to structure one- or two-semester courses.

Optimization of Power System Problems

Anonim
Optimization of Power System Problems Book PDF

Author : Anonim
Publisher : Unknown
Page : 386 pages
File Size : 45,7 Mb
Release : 2020
Category : Electric power systems
ISBN : 3030340511

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Optimization of Power System Problems by Anonim Pdf

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

Optimization in Practice with MATLAB

Achille Messac
Optimization in Practice with MATLAB Book PDF

Author : Achille Messac
Publisher : Cambridge University Press
Page : 503 pages
File Size : 53,5 Mb
Release : 2015-03-19
Category : Computers
ISBN : 9781107109186

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Optimization in Practice with MATLAB by Achille Messac Pdf

This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.

Electrical Transmission System Cascades and Vulnerability: An Operations Research Viewpoint

Daniel Bienstock
Electrical Transmission System Cascades and Vulnerability An Operations Research Viewpoint Book PDF

Author : Daniel Bienstock
Publisher : SIAM
Page : 294 pages
File Size : 43,5 Mb
Release : 2016-12-14
Category : Mathematics
ISBN : 9781611974164

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Electrical Transmission System Cascades and Vulnerability: An Operations Research Viewpoint by Daniel Bienstock Pdf

The power grid can be considered one of twentieth-century engineering?s greatest achievements, and as grids and populations grow, robustness is a factor that planners must take into account. Power grid robustness is a complex problem for two reasons: the underlying physics is mathematically complex, and modeling is complicated by lack of accurate data. This book sheds light on this complex problem by introducing the engineering details of power grid operations from the basic to the detailed; describing how to use optimization and stochastic modeling, with special focus on the modeling of cascading failures and robustness; providing numerical examples that show ?how things work?; and detailing the application of a number of optimization theories to power grids.÷