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Contributions Au Domaine De Loptimisation Globale Non Lineaire
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Book Synopsis Contributions au domaine de l'optimisation (globale) non linéaire by : Mina Ouabiba
Download or read book Contributions au domaine de l'optimisation (globale) non linéaire written by Mina Ouabiba and published by . This book was released on 2005 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse aborde la résolution de problèmes d'optimisation sous contraintes et systèmes de contraintes non linéaires sur les réels. Dans un premier temps, nous sommes intéressés à l'optimisation de problèmes dont les données sont connues de façon implicite (résultats d'une simulation informatique), en particulier, dans le cas des systèmes à événements discrets. Les contraintes de la simulation nécessitent de choisir judicieusement les méthodes d'optimisation adaptées à cette démarche de simulation-optimisation. Il est nécessaire d'utiliser des méthodes d'optimisation itératives où la fonction objectif est calculée point par point. Cette étude a donné naissance à l’environnement SimOpt qui consiste à coopérer entre un environnement de simulation et un environnement d’optimisation mathématique constitué d’un ensemble de méthodes d’analyse numérique et de recherche opérationnelle. Ensuite, Nous avons étudié les problèmes d'optimisation globale non linéaires continus basés sur la satisfaction de contraintes et l'arithmétique des intervalles. Dans ce cas, le résultat du calcul est un intervalle qui contient les solutions. Notre contribution consiste d'abord à classifier les techniques de résolution et établir les différentes relations de décomposition et transformation d'un problème d'optimisation dans un processus de résolution. Finalement, la dernière partie est consacrée à la résolution de systèmes de contraintes non linéaires. Nous avons proposé une méthode basée sur une approche symbolique numérique qui permet de limiter le problème de localité des raisonnements dans le processus de résolution basé sur les techniques de consistance locale.
Book Synopsis Contribution à l'optimisation globale by : Ali El Merzouqi
Download or read book Contribution à l'optimisation globale written by Ali El Merzouqi and published by . This book was released on 1993 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contribution à l'optimisation globale et à l'analyse non différentiable by : Rachid Ellaia
Download or read book Contribution à l'optimisation globale et à l'analyse non différentiable written by Rachid Ellaia and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Les travaux qui composent cette thèse s'articulent autour des thèmes suivants : Optimisation globale, Analyse et optimisation non différentiables, Analyse convexe.
Book Synopsis Un algorithme général pour l'optimisation non linéaire by : Michel Vanbreugel
Download or read book Un algorithme général pour l'optimisation non linéaire written by Michel Vanbreugel and published by . This book was released on 1978 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: LES METHODES DE GRADIENTS. UN ALGORITHME DE POINTS REALISABLES POUR L'OPTIMISATION AVEC CONTRAINTES NON LINEAIRES. LES METRIQUES VARIABLES ET L'OPTIMISATION AVEC CONTRAINTES
Book Synopsis Linear Matrix Inequalities in System and Control Theory by : Stephen Boyd
Download or read book Linear Matrix Inequalities in System and Control Theory written by Stephen Boyd and published by SIAM. This book was released on 1994-01-01 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.
Book Synopsis Linear and Mixed Integer Programming for Portfolio Optimization by : Renata Mansini
Download or read book Linear and Mixed Integer Programming for Portfolio Optimization written by Renata Mansini and published by Springer. This book was released on 2015-06-10 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples.
Book Synopsis Conception systémique pour la conversion d’énergie électrique 1 : gestion, analyse et synthèse by : ROBOAM Xavier
Download or read book Conception systémique pour la conversion d’énergie électrique 1 : gestion, analyse et synthèse written by ROBOAM Xavier and published by Lavoisier. This book was released on 2012-11-06 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le contexte actuel mène les concepteurs vers des systèmes toujours plus complexes et performants, intégrant un grand nombre d’éléments souvent fortement couplés et appartenant à divers champs de la physique énergétique. Après une présentation de l’approche systémique de conception, ce premier volume rassemble les points-clés permettant de modéliser et de caractériser efficacement des systèmes multiphysiques (formalismes graphiques, Bond Graphs, GIC/REM), d’analyser la qualité et la stabilité des réseaux et de contribuer à la robustesse en conception intégrée. La gestion de l’énergie des systèmes énergétiques hybrides incluant du stockage est également largement détaillée et différentes méthodes statistiques permettant de dimensionner les réseaux ou de caractériser leur sûreté de fonctionnement sont proposées (par exemple, la méthode de Monte-Carlo). Les techniques d’analyse, de synthèse et de gestion présentées dans cet ouvrage participent à l’optimisation des systèmes énergétiques. Elles sont complétées par des approches spécifiquement orientées vers la conception par optimisation, objets du second volume.
Book Synopsis Actes de la Douzième Conférence Internationale de Recherche Opérationnelle de L'IFORS : Athens, Greece, 25-29 June 1990 by : Hugh E. Bradley
Download or read book Actes de la Douzième Conférence Internationale de Recherche Opérationnelle de L'IFORS : Athens, Greece, 25-29 June 1990 written by Hugh E. Bradley and published by Pergamon. This book was released on 1991 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Agronomie written by and published by . This book was released on 1990 with total page 948 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Networks written by Gérard Dreyfus and published by Springer Science & Business Media. This book was released on 2005-11-25 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.
Book Synopsis Large-Scale Inverse Problems and Quantification of Uncertainty by : Lorenz Biegler
Download or read book Large-Scale Inverse Problems and Quantification of Uncertainty written by Lorenz Biegler and published by John Wiley & Sons. This book was released on 2011-06-24 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: Brings together the perspectives of researchers in areas of inverse problems and data assimilation. Assesses the current state-of-the-art and identify needs and opportunities for future research. Focuses on the computational methods used to analyze and simulate inverse problems. Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.
Author :Neural Information Processing Systems Foundation Publisher :MIT Press ISBN 13 :0262026171 Total Pages :361 pages Book Rating :4.2/5 (62 download)
Book Synopsis Predicting Structured Data by : Neural Information Processing Systems Foundation
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Book Synopsis Mathematics of Wave Phenomena by : Willy Dörfler
Download or read book Mathematics of Wave Phenomena written by Willy Dörfler and published by Springer Nature. This book was released on 2020-10-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wave phenomena are ubiquitous in nature. Their mathematical modeling, simulation and analysis lead to fascinating and challenging problems in both analysis and numerical mathematics. These challenges and their impact on significant applications have inspired major results and methods about wave-type equations in both fields of mathematics. The Conference on Mathematics of Wave Phenomena 2018 held in Karlsruhe, Germany, was devoted to these topics and attracted internationally renowned experts from a broad range of fields. These conference proceedings present new ideas, results, and techniques from this exciting research area.
Book Synopsis Global Change and Relevant Space Observations by : COSPAR. Plenary Meeting
Download or read book Global Change and Relevant Space Observations written by COSPAR. Plenary Meeting and published by Elsevier Science & Technology. This book was released on 1991 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Airborne Wind Energy by : Roland Schmehl
Download or read book Airborne Wind Energy written by Roland Schmehl and published by Springer. This book was released on 2018-03-31 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth coverage of the latest research and development activities concerning innovative wind energy technologies intended to replace fossil fuels on an economical basis. A characteristic feature of the various conversion concepts discussed is the use of tethered flying devices to substantially reduce the material consumption per installed unit and to access wind energy at higher altitudes, where the wind is more consistent. The introductory chapter describes the emergence and economic dimension of airborne wind energy. Focusing on “Fundamentals, Modeling & Simulation”, Part I includes six contributions that describe quasi-steady as well as dynamic models and simulations of airborne wind energy systems or individual components. Shifting the spotlight to “Control, Optimization & Flight State Measurement”, Part II combines one chapter on measurement techniques with five chapters on control of kite and ground stations, and two chapters on optimization. Part III on “Concept Design & Analysis” includes three chapters that present and analyze novel harvesting concepts as well as two chapters on system component design. Part IV, which centers on “Implemented Concepts”, presents five chapters on established system concepts and one chapter about a subsystem for automatic launching and landing of kites. In closing, Part V focuses with four chapters on “Technology Deployment” related to market and financing strategies, as well as on regulation and the environment. The book builds on the success of the first volume “Airborne Wind Energy” (Springer, 2013), and offers a self-contained reference guide for researchers, scientists, professionals and students. The respective chapters were contributed by a broad variety of authors: academics, practicing engineers and inventors, all of whom are experts in their respective fields.
Book Synopsis Recent Advances in Global Optimization by : Christodoulos A. Floudas
Download or read book Recent Advances in Global Optimization written by Christodoulos A. Floudas and published by Princeton University Press. This book was released on 2014-07-14 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will present the papers delivered at the first U.S. conference devoted exclusively to global optimization and will thus provide valuable insights into the significant research on the topic that has been emerging during recent years. Held at Princeton University in May 1991, the conference brought together an interdisciplinary group of the most active developers of algorithms for global optimization in order to focus the attention of the mathematical programming community on the unsolved problems and diverse applications of this field. The main subjects addressed at the conference were advances in deterministic and stochastic methods for global optimization, parallel algorithms for global optimization problems, and applications of global optimization. Although global optimization is primarily a mathematical problem, it is relevant to several other disciplines, including computer science, applied mathematics, physical chemistry, molecular biology, statistics, physics, engineering, operations research, communication theory, and economics. Global optimization problems originate from a wide variety of mathematical models of real-world systems. Some of its applications are allocation and location problems and VLSI and data-base design problems. Originally published in 1991. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Book Synopsis An Introduction to Computational Learning Theory by : Michael J. Kearns
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
