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Author : J. M. Mulvey
Publisher : Springer Science & Business Media
Page : 393 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642954061
Author : J. M. Mulvey
Publisher : Springer
Page : 384 pages
File Size : 47,5 Mb
Release : 1982-05-01
Category : Business & Economics
ISBN : 3540114955
Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 1982
Category : Electronic
ISBN : OCLC:1414960800
Author : J M Mulvey
Publisher : Unknown
Page : 400 pages
File Size : 48,7 Mb
Release : 1982-05-01
Category : Electronic
ISBN : 3642954073
Author : S. A. MirHassani,F. Hooshmand
Publisher : Springer Nature
Page : 389 pages
File Size : 55,9 Mb
Release : 2019-12-09
Category : Mathematics
ISBN : 9783030270452
This book focuses on mathematical modeling, describes the process of constructing and evaluating models, discusses the challenges and delicacies of the modeling process, and explicitly outlines the required rules and regulations so that the reader will be able to generalize and reuse concepts in other problems by relying on mathematical logic.Undergraduate and postgraduate students of different academic disciplines would find this book a suitable option preparing them for jobs and research fields requiring modeling techniques. Furthermore, this book can be used as a reference book for experts and practitioners requiring advanced skills of model building in their jobs.
Author : Klaus Schittkowski
Publisher : Springer Science & Business Media
Page : 455 pages
File Size : 42,7 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9783642824500
This book contains the written versions of main lectures presented at the Advanced Study Institute (ASI) on Computational Mathematical Programming, which was held in Bad Windsheim, Germany F. R., from July 23 to August 2, 1984, under the sponsorship of NATO. The ASI was organized by the Committee on Algorithms (COAL) of the Mathematical Programming Society. Co-directors were Karla Hoffmann (National Bureau of Standards, Washington, U.S.A.) and Jan Teigen (Rabobank Nederland, Zeist, The Netherlands). Ninety participants coming from about 20 different countries attended the ASI and contributed their efforts to achieve a highly interesting and stimulating meeting. Since 1947 when the first linear programming technique was developed, the importance of optimization models and their mathematical solution methods has steadily increased, and now plays a leading role in applied research areas. The basic idea of optimization theory is to minimize (or maximize) a function of several variables subject to certain restrictions. This general mathematical concept covers a broad class of possible practical applications arising in mechanical, electrical, or chemical engineering, physics, economics, medicine, biology, etc. There are both industrial applications (e.g. design of mechanical structures, production plans) and applications in the natural, engineering, and social sciences (e.g. chemical equilibrium problems, christollography problems).
Author : D. Lloyd Smith
Publisher : Springer Science & Business Media
Page : 452 pages
File Size : 42,7 Mb
Release : 1990-05-18
Category : Language Arts & Disciplines
ISBN : 3211821910
Civil engineering structures tend to be fabricated from materials that respond elastically at normal levels of loading. Most such materials, however, would exhibit a marked and ductile inelasticity if the structure were overloaded by accident or by some improbable but naturally occuring phenomeon. Indeed, the very presence of such ductility constitutes an important safety provision for large-scale constructions where human life is at risk. In the comprehensive evaluation of safety in structural design, it is therefore unrealistic not to consider the effects of ductility. This book sets out to show that the bringing together of the theory and methods of mathematical programming with the mathematical theory of plasticity furnishes a model which has a unifying theoretical nature and is entirely representative of observed structural behaviour. The contents of the book provide a review of the relevant aspects of mathematical programming and plasticity theory, together with a detailed presentation of the most interesting and potentially useful applications in both framed and continuum structures: ultimate strength and elastoplastic deformability; shakedown and practical upper bounds on deformation measures; evolutive dynamic response; large displacements and instability; stochastic and fuzzy programming for representing uncertainty in ultimate strength calculations. Besides providing a ready fund of computational algorithms, mathematical programming invests applications in mechanics with a refined mathematical formalism, rich in fundamental theorems, which often gives addi- tional insight into known results and occasionally lead to new ones. In addition to its obvious practical utility, the educational value of the material thoroughly befits a university discipline.
Author : Benjamin Lev,Howard J. Weiss
Publisher : North-Holland
Page : 316 pages
File Size : 55,9 Mb
Release : 1982
Category : Education
ISBN : UOM:39015000499213
Author : M.H. Karwan,V. Lotfi,J. Telgen,S. Zionts
Publisher : Springer Science & Business Media
Page : 298 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642455353
During the Spring of 1979 one of us (Zionts) was invited to visit Erasmus University in Rotterdam, The Netherlands. It was there that Zionts met another of us (Telgen) who was then in the process of completing a dissertation on redundancy in linear programming. At that time, Telgen proposed an extended visit to Buffalo, during which time he and Zionts would do an extensive study on redundancy. Redundancy, hardly an exciting or new topic, does have numerous applications. Telgen and Zionts planned the project for the Summer of 1980, and enlisted the support of all the contributors as well as the other two members of our team (Karwan and Lotfi). Lotfi was then a Ph. D. student in Industrial Engineering searching for a thesis topic. Redundancy became his topic. Karwan and Zionts served as his thesis co-chairmen, with Telgen serving as an outside reader of the thesis. We initially had hoped to complete the study during Telgen's stay in Buffalo, but that was far too optimistic. Lotfi completed his dissertation during the late Spring-early Summer of 1981. As the project took shape, we decided that we had more than enough for an article, or even several articles. Accordingly, not wanting to produce redundant papers, we decided to produce this volume --- a state-of-the-art review of methods for handling redundancy and comprehensive tests of the various methods, together with extensions and further developments of the most promising methods.
Author : Santosh Kumar,Australian Society for Operations Research
Publisher : CRC Press
Page : 476 pages
File Size : 43,8 Mb
Release : 1991
Category : Mathematics
ISBN : 2881248209
This book is concerned with theoretical developments in the area of mathematical programming including new algorithms (analytic and heuristic) and their applications in science and industry. It exposes recent mathematical developments to a larger audience in science and industry who may not be equipped with the necessary research background and provides good references in many branches of mathematical programming. The text includes research and tutorial papers giving details of use of recent developments in applied areas, as well as review and state-of-the-art papers providing a soruce of references to researchers in this field.
Author : Jagdish S. Rustagi
Publisher : Elsevier
Page : 359 pages
File Size : 48,8 Mb
Release : 2014-05-19
Category : Mathematics
ISBN : 9781483295718
Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimization in function spaces are also discussed, as are stochastic optimization in simulation, including annealing methods. The text features numerous applications, including: Finding maximum likelihood estimates Markov decision processes Programming methods used to optimize monitoring of patients in hospitals Derivation of the Neyman-Pearson lemma The search for optimal designs Simulation of a steel mill Suitable as both a reference and a text, this book will be of interest to advanced undergraduate or beginning graduate students in statistics, operations research, management and engineering sciences, and related fields. Most of the material can be covered in one semester by students with a basic background in probability and statistics. Key Features * Covers optimization from traditional methods to recent developments such as Karmarkars algorithm and simulated annealing * Develops a wide range of statistical techniques in the unified context of optimization * Discusses applications such as optimizing monitoring of patients and simulating steel mill operations * Treats numerical methods and applications Includes exercises and references for each chapter * Covers topics such as linear, nonlinear, and dynamic programming, variational methods, and stochastic optimization
Author : United States. National Bureau of Standards
Publisher : Unknown
Page : 1046 pages
File Size : 53,8 Mb
Release : 1977
Category : Research
ISBN : UOM:39015021796597
Author : Volker Firchau
Publisher : Springer Science & Business Media
Page : 114 pages
File Size : 50,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642492723
An investor who wants to invest a certain amount and to whom a lot of more or less risky alternatives arise would divide this amount among several securities. He makes this portfolio decision because of his expectations with regard to these assets which result from the information available to him. If the investor obtains additional information, then his knowledge would improve and, therefore, the portfolio decision made by him. Accordingly, he will be ready to accept certain costs related to the information procurement. The value of information indicates the maximum tolerable information costs, and its knowledge, therefore, enables - by comparing with the actual information costs - to evaluate the profitability of an information procurement. In this book, the value of information for the problem of portfolio planning is explicitly determined, namely as well for the case of fixed prices not influenced by the information activity as within the scope of a market model. These explicit results allow several conclusions, in particular about the influence of preknowledge, risk aversion, information precision and information dissemination on their value. The Bayesian decision theory is the basis for this paper. Corres pondingly, a subjective concept of probability is underlying, and the information processing and evaluation is understood in a sta tistical sense. As one might expect, the question about the correct ness of an information is not treated, although manipulating the asset prices by deliberate dis information can be observed in prac tice and is, certainly, an interesting problem.
Author : Janos Mayer
Publisher : Taylor & Francis
Page : 164 pages
File Size : 47,6 Mb
Release : 2022-04-19
Category : Computers
ISBN : 9781351413695
A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches. The following methods are considered: regularized decomposition, stochastic decomposition and successive discrete approximation methods for two stage problems; cutting plane methods, and a reduced gradient method for jointly chance constrained problems. The first part of the book introduces the algorithms, including a unified approach to decomposition methods and their regularized counterparts. The second part addresses computer implementation of the methods, describes a testing environment based on a model management system, and presents comparative computational results with the various algorithms. Emphasis is on the computational behavior of the algorithms.
Author : Barry Bozeman,Julia Melkers
Publisher : Springer Science & Business Media
Page : 312 pages
File Size : 40,6 Mb
Release : 2013-06-29
Category : Business & Economics
ISBN : 9781475751826
A critical issue in research and development (R&D) management is the structure and use of evaluative efforts for R&D programs. The book introduces the different methods that may be used in R&D evaluation and then illustrates these methods by describing actual evaluation in practice using those methods. The book is divided into two sections. The first section provides an introduction and details on several popular methodologies used in the evaluation of research and development activities. The second half of the book focuses on evaluation in practice and is comprised of several chapters offering the perspectives of individuals in different types of organizations. The book concludes with an annotated bibliography of selected R&D evaluation literature, focusing on post-1985 literature, on research evaluation.
