A Penalty/modified Barrier Method for Large-scale Quadratic Programming

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis A Penalty/modified Barrier Method for Large-scale Quadratic Programming by : S. A. Brooks

Download or read book A Penalty/modified Barrier Method for Large-scale Quadratic Programming written by S. A. Brooks and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Barrier Methods for Large-scale Quadratic Programming

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ISBN 13 :
Total Pages : 142 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Barrier Methods for Large-scale Quadratic Programming by : Stanford University. Department of Operations Research. Systems Optimization Laboratory

Download or read book Barrier Methods for Large-scale Quadratic Programming written by Stanford University. Department of Operations Research. Systems Optimization Laboratory and published by . This book was released on 1991 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Large Scale Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1461336325
Total Pages : 470 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Large Scale Optimization by : William W. Hager

Download or read book Large Scale Optimization written by William W. Hager and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied Optimization, was held at the University of Florida. The con ference was supported by the National Science Foundation, the U. S. Army Research Office, and the University of Florida, with endorsements from SIAM, MPS, ORSA and IMACS. Forty one invited speakers presented papers on mathematical program ming and optimal control topics with an emphasis on algorithm development, real world applications and numerical results. Participants from Canada, Japan, Sweden, The Netherlands, Germany, Belgium, Greece, and Denmark gave the meeting an important international component. At tendees also included representatives from IBM, American Airlines, US Air, United Parcel Serice, AT & T Bell Labs, Thinking Machines, Army High Performance Com puting Research Center, and Argonne National Laboratory. In addition, the NSF sponsored attendance of thirteen graduate students from universities in the United States and abroad. Accurate modeling of scientific problems often leads to the formulation of large scale optimization problems involving thousands of continuous and/or discrete vari ables. Large scale optimization has seen a dramatic increase in activities in the past decade. This has been a natural consequence of new algorithmic developments and of the increased power of computers. For example, decomposition ideas proposed by G. Dantzig and P. Wolfe in the 1960's, are now implement able in distributed process ing systems, and today many optimization codes have been implemented on parallel machines.

The Modified Barrier Method for Large Scale Nonlinear Steady State and Dynamic Optimization

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (879 download)

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Book Synopsis The Modified Barrier Method for Large Scale Nonlinear Steady State and Dynamic Optimization by : W. C. T. Chen

Download or read book The Modified Barrier Method for Large Scale Nonlinear Steady State and Dynamic Optimization written by W. C. T. Chen and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

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Publisher : Springer
ISBN 13 : 3319583565
Total Pages : 514 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology by : Neculai Andrei

Download or read book Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology written by Neculai Andrei and published by Springer. This book was released on 2017-12-04 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS. Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming, operations research, business, engineering, and industry, this book enables readers with a background in nonlinear optimization and linear algebra to use GAMS technology to understand and utilize its important capabilities to optimize algorithms for modeling and solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear optimization methods, this book moves on to illustrate key aspects of mathematical modeling through modeling technologies based on algebraically oriented modeling languages. Next, the main feature of GAMS, an algebraically oriented language that allows for high-level algebraic representation of mathematical optimization models, is introduced to model and solve continuous nonlinear optimization applications. More than 15 real nonlinear optimization applications in algebraic and GAMS representation are presented which are used to illustrate the performances of the algorithms described in this book. Theoretical and computational results, methods, and techniques effective for solving nonlinear optimization problems, are detailed through the algorithms MINOS, KNITRO, CONOPT, SNOPT and IPOPT which work in GAMS technology.

Introduction to Continuous Optimization

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Publisher : Springer Nature
ISBN 13 : 3030687139
Total Pages : 552 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Introduction to Continuous Optimization by : Roman A. Polyak

Download or read book Introduction to Continuous Optimization written by Roman A. Polyak and published by Springer Nature. This book was released on 2021-04-29 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which have not yet been covered in a systematic way as well as a summary of results on NR theory and methods developed over the last several decades. The readership is aimed to graduate students in applied mathematics, computer science, economics, as well as researchers working in optimization and those applying optimization methods for solving real life problems. Sufficient exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous Optimization. The topical coverage includes interior point methods, self-concordance theory and related complexity issues, first and second order methods with accelerated convergence, nonlinear rescaling (NR) theory and exterior point methods, just to mention a few. The book contains a unified approach to both interior and exterior point methods with emphasis of the crucial duality role. One of the main achievements of the book shows what makes the exterior point methods numerically attractive and why. The book is composed in five parts. The first part contains the basics of calculus, convex analysis, elements of unconstrained optimization, as well as classical results of linear and convex optimization. The second part contains the basics of self-concordance theory and interior point methods, including complexity results for LP, QP, and QP with quadratic constraint, semidefinite and conic programming. In the third part, the NR and Lagrangian transformation theories are considered and exterior point methods are described. Three important problems in finding equilibrium are considered in the fourth part. In the fifth and final part of the book, several important applications arising in economics, structural optimization, medicine, statistical learning theory, and more, are detailed. Numerical results, obtained by solving a number of real life and test problems, are also provided.

A Long Step Barrier Method for Convex Quadratic Programming

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ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.:/5 (461 download)

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Book Synopsis A Long Step Barrier Method for Convex Quadratic Programming by : K. M. Anstreicher

Download or read book A Long Step Barrier Method for Convex Quadratic Programming written by K. M. Anstreicher and published by . This book was released on 1990 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Linear Algebra for Large Scale and Real-Time Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9401581967
Total Pages : 434 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Linear Algebra for Large Scale and Real-Time Applications by : M.S. Moonen

Download or read book Linear Algebra for Large Scale and Real-Time Applications written by M.S. Moonen and published by Springer Science & Business Media. This book was released on 2013-11-09 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute, Leuven, Belgium, August 3-14, 1992

IEEE TENCOM '02 [sic]

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Publisher : I E E E
ISBN 13 : 9787900091550
Total Pages : 900 pages
Book Rating : 4.0/5 (915 download)

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Book Synopsis IEEE TENCOM '02 [sic] by : Baozong Yuan

Download or read book IEEE TENCOM '02 [sic] written by Baozong Yuan and published by I E E E. This book was released on 2002 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear Programming

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Publisher : SIAM
ISBN 13 : 0898712548
Total Pages : 224 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Nonlinear Programming by : Anthony V. Fiacco

Download or read book Nonlinear Programming written by Anthony V. Fiacco and published by SIAM. This book was released on 1990-01-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzes the 'central' or 'dual' trajectory used by modern path following and primal/dual methods for convex / general linear programming.

Online Optimization of Large Scale Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3662043319
Total Pages : 789 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Online Optimization of Large Scale Systems by : Martin Grötschel

Download or read book Online Optimization of Large Scale Systems written by Martin Grötschel and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around? Can mathematics help as well? This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers? - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions? - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment? - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly.

Modern Numerical Nonlinear Optimization

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Publisher : Springer Nature
ISBN 13 : 3031087208
Total Pages : 824 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Modern Numerical Nonlinear Optimization by : Neculai Andrei

Download or read book Modern Numerical Nonlinear Optimization written by Neculai Andrei and published by Springer Nature. This book was released on 2022-10-18 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the most recent techniques and advanced computational linear algebra methods. Nonlinear optimization methods and techniques have reached their maturity and an abundance of optimization algorithms are available for which both the convergence properties and the numerical performances are known. This clear, friendly, and rigorous exposition discusses the theory behind the nonlinear optimization algorithms for understanding their properties and their convergence, enabling the reader to prove the convergence of his/her own algorithms. It covers cases and computational performances of the most known modern nonlinear optimization algorithms that solve collections of unconstrained and constrained optimization test problems with different structures, complexities, as well as those with large-scale real applications. The book is addressed to all those interested in developing and using new advanced techniques for solving large-scale unconstrained or constrained complex optimization problems. Mathematical programming researchers, theoreticians and practitioners in operations research, practitioners in engineering and industry researchers, as well as graduate students in mathematics, Ph.D. and master in mathematical programming will find plenty of recent information and practical approaches for solving real large-scale optimization problems and applications.

Large-Scale Optimization with Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 1461219604
Total Pages : 339 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Large-Scale Optimization with Applications by : Lorenz T. Biegler

Download or read book Large-Scale Optimization with Applications written by Lorenz T. Biegler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equation models.

Penalty/Barrier Multiplier Methods for Large-scale Nonlinear and Semidefinite Programming

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ISBN 13 :
Total Pages : 73 pages
Book Rating : 4.:/5 (87 download)

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Book Synopsis Penalty/Barrier Multiplier Methods for Large-scale Nonlinear and Semidefinite Programming by : Michael Zibulevsky

Download or read book Penalty/Barrier Multiplier Methods for Large-scale Nonlinear and Semidefinite Programming written by Michael Zibulevsky and published by . This book was released on 1996 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Topics in Nonconvex Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1441996400
Total Pages : 276 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Topics in Nonconvex Optimization by : Shashi K. Mishra

Download or read book Topics in Nonconvex Optimization written by Shashi K. Mishra and published by Springer Science & Business Media. This book was released on 2011-05-21 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science. This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical and applied articles are contained in this volume which adds to the state of the art research in this field. Topics in Nonconvex Optimization is suitable for advanced graduate students and researchers in this area.

Methods for Large-scale Extended Linear-quadratic Programming

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ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.:/5 (254 download)

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Book Synopsis Methods for Large-scale Extended Linear-quadratic Programming by : Ciyou Zhu

Download or read book Methods for Large-scale Extended Linear-quadratic Programming written by Ciyou Zhu and published by . This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Primal-Dual Augmented Lagrangian Penalty-Interior-Point Algorithm for Nonlinear Programming

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (19 download)

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Book Synopsis A Primal-Dual Augmented Lagrangian Penalty-Interior-Point Algorithm for Nonlinear Programming by : Renke Kuhlmann

Download or read book A Primal-Dual Augmented Lagrangian Penalty-Interior-Point Algorithm for Nonlinear Programming written by Renke Kuhlmann and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: