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Analyse Comparative Et Mise En Uvre Numerique Dalgorithmes De Programmation Quadratique Sous Contraintes Lineaires
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Book Synopsis ANALYSE COMPARATIVE ET MISE EN UVRE NUMERIQUE D'ALGORITHMES DE PROGRAMMATION QUADRATIQUE SOUS CONTRAINTES LINEAIRES by : SYLVAIN.. TRICOT
Download or read book ANALYSE COMPARATIVE ET MISE EN UVRE NUMERIQUE D'ALGORITHMES DE PROGRAMMATION QUADRATIQUE SOUS CONTRAINTES LINEAIRES written by SYLVAIN.. TRICOT and published by . This book was released on 1996 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: IL EXISTE ACTUELLEMENT DEUX GRANDES CLASSES DE METHODES POUR LA PROGRAMMATION MATHEMATIQUE LINEAIRE OU QUADRATIQUE: LES METHODES SIMPLICIALES ET LES METHODES DITES DE POINTS INTERIEURS. CES DEUX APPROCHES SONT ABORDEES ET COMPAREES DANS LE CADRE DE LA PROGRAMMATION QUADRATIQUE CONVEXE SOUS CONTRAINTES LINEAIRES. ON RECHERCHE PLUS SPECIFIQUEMENT, A ADAPTER LES TECHNIQUES DE LA PROGRAMMATION LINEAIRE VERS DES METHODES SUSCEPTIBLES DE RESOUDRE EFFICACEMENT DES PROBLEMES FAIBLEMENT QUADRATIQUES (MATRICE HESSIENNE Q DE RANG FAIBLE, PROBLEMES SEPARABLES, MATRICE RESTREINTE A UN PETIT NOMBRE DE VARIABLES). DEUX METHODES SIMPLICIALES ORIGINALES SONT DESCRITES. DANS LE CADRE DES METHODES DE POINTS INTERIEURS, ON EXPOSE DIVERSES TECHNIQUES, DE MISE EN FORME DU PROBLEME, DE TRAITEMENT DE LA PHASE I NOTAMMENT. UNE MISE EN UVRE D'UNE PARTIE DE CES METHODES ET DES TECHNIQUES DE FACTORISATION LU EST PRESENTEE. ENFIN, UNE ANALYSE COMPARATIVE, PERMET DE DEGAGER LES ATOUTS SPECIFIQUES A CHAQUE APPROCHE
Book Synopsis Programmation quadratique en variables bivalentes sous contraintes linéaires. application au placement de taches dans les systèmes distribués et a la partition de graphes by : Alain Faye
Download or read book Programmation quadratique en variables bivalentes sous contraintes linéaires. application au placement de taches dans les systèmes distribués et a la partition de graphes written by Alain Faye and published by . This book was released on 1994 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse traite du problème de la minimisation d'une fonction pseudo-booléenne quadratique (f.p.b.q.) sous des contraintes linéaires et de son application au problème de placement de taches sur les systèmes distribues ainsi qu'au problème de partition de graphes. Nous proposons le calcul de plusieurs bornes inférieures. Dans le cas de contraintes linéaires de transport, nous proposons une réduction de la fonction objectif et le calcul d'une borne inférieure par implications logiques. Nous utilisons cette borne inférieure pour la résolution d'un problème de placement de taches avec contraintes de ressources. Nous résolvons des problèmes de l'ordre de 20 taches et 3 processeurs. Dans le cas de contraintes linéaires quelconques, nous calculons une borne inférieure par une décomposition optimale, sous certaines hypothèses, de la fonction objectif. Nous appliquons le calcul de cette borne au problème de placement de taches sans contraintes de ressources. Une étude expérimentale montre la bonne qualité de cette borne: nous obtenons des écarts relatifs, avec la valeur exacte du problème, inférieurs a 2% pour des problèmes comportant 60 taches et 15 processeurs. Nous proposons aussi le calcul d'une borne inférieure pour un problème de partition de graphes. Cette borne est obtenue par un algorithme de coupes polyédriques. Une étude expérimentale montre la bonne qualité de cette borne pour certaines classes de problèmes. Dans le cadre de la minimisation d'une f.p.b.q. sous une contrainte linéaire, nous proposons le calcul d'une borne inférieure par un programme linéaire continu. Nous prouvons que cette borne est la meilleure valeur que l'on puisse obtenir sous certaines hypothèses. Ce résultat se situe dans le prolongement des travaux de Hammer, Hansen et Simeone, dans le cas sans contraintes, sur le toit dual. nous terminons par une étude théorique comparative de ces différentes bornes
Book Synopsis METHODES INTERIEURES EN PROGRAMMATION LINEAIRE by : HERVE.. LETERRIER
Download or read book METHODES INTERIEURES EN PROGRAMMATION LINEAIRE written by HERVE.. LETERRIER and published by . This book was released on 1997 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'OBJET DE CETTE THESE CONSISTE EN LA COMPARAISON ET L'AMELIORATION DES ALGORITHMES DE RESOLUTION DE PROGRAMMES LINEAIRES FONDES SUR LE PRINCIPE DE CHEMINEMENT A L'INTERIEUR STRICT DU POLYTOPE DES POINTS REALISABLES. CECI NOUS CONDUIT TOUT D'ABORD A FAIRE UN ETAT DE L'ART DES METHODES INTERIEURES EN PROGRAMMATION LINEAIRE PROPOSEES DEPUIS 1947, ET A EN EXTRAIRE CELLES QUI SEMBLENT AVOIR, SELON LA LITTERATURE, LES MEILLEURES PERFORMANCES OU SUSCEPTIBLES D'ETRE SENSIBLEMENT AMELIOREES : C'EST A DIRE, LES METHODES DUALES PUREMENT AFFINES, LES METHODES AFFINES UTILISANT UNE FONCTION POTENTIELLE, ET LES METHODES PRIMALES-DUALES DE PATH-FOLLOWING, SIMPLE ET PREDICTIVE-CORRECTIVE DE TYPE S.MEHROTRA, QUI EST ACTUELLEMENT L'UNE DES PLUS RAPIDES. PLUS PRECISEMENT, EN NOUS BASANT SUR LES TRAVAUX D'ADLER ET AL., L'ALGORITHME DUAL AFFINE DE I.I.DIKIN AINSI QUE L'ALGORITHME POLYNOMIAL AFFINE DE C.C.GONZAGA ONT ETE IMPLEMENTES AVEC LA BIBLIOTHEQUE FORTRAN IPMLO. POUR LES METHODES DE PATH-FOLLOWING, NOUS AVONS UTILISE LE CODE PDLBM DE LA METHODE PRIMALE-DUALE AVEC FONCTION BARRIERE LOGARITHMIQUE DE MCSHANE ET AL., AINSI QUE 2 CODES DE LA METHODE PRIMALE-DUALE PREDICTIVE-CORRECTIVE : L'EXCELLENT CODE UNIVERSITAIRE HOPDM 2.13 DE J.GONDZIO ET LE CODE PROFESSIONNEL CPLEX 3.0 QUI SONT PARMI LES PLUS RAPIDES ET LES PLUS PRECIS EXISTANTS. POUR EFFECTUER DES COMPARAISONS PLUS PERTINENTES DES ALGORITHMES EXPERIMENTES, NOUS NOUS PLACONS DANS UN CONTEXTE UNIQUE DE PROGRAMMATION ADAPTE AUX BESOINS ACTUELS DE LA RECHERCHE : NOTAMMENT, D'UNE PART, NOUS RAFFINONS LES CRITERES DE PERFORMANCES EXISTANTS, EN PROPOSONS DE NOUVEAUX ET COMPARONS LES PERFORMANCES DES CODES POUR L'OBTENTION DE SOLUTIONS APPROCHEES. POUR EPROUVER PLUS SEVEREMENT LES ALGORITHMES, NOUS SIMULONS DES CONDITIONS EXPERIMENTALES PARTICULIEREMENT DEFAVORABLES ET DIFFICILES POUR UNE APPROCHE INTERIEURE. D'AUTRE PART, LA RAPIDITE DE CONVERGENCE DES METHODES INTERIEURES ETANT TOUJOURS ET PARTICULIEREMENT SENSIBLE AU CHOIX DES INITIA LISATIONS -CELLES CI N'ETANT PAS DETERMINEES D'UNE MANIERE PARFAITE- IL NOUS A AUSSI PARU IMPORTANT DE TESTER LA ROBUSTESSE DES PERFORMANCES ET DE NOS COMPARAISONS NUMERIQUES DES CODES, EN FAISANT VARIER LA POSITION DU POINT DE DEPART DANS LE POLYEDRE. A NOTRE CONNAISSANCE, DE TELS TESTS DE ROBUSTESSE N'AVAIENT PAS ETE ENCORE ENTREPRIS. PAR AILLEURS, LORS D'UNE 1#E#R#E SERIE D'EXPERIMENTATIONS, NOUS METTONS EN EVIDENCE LES POINTS FAIBLES DES METHODES DUALES AFFINES ET DES METHODES PRIMALES-DUALES DEJA EXISTANTES : LE PROBLEME DE CONVERGENCE TROP LENTE OU DE CONVERGENCE NON POLYNOMIALE DE LA METHODE DUALE AFFINE, ET LE MANQUE DE ROBUSTESSE DE LA METHODE PRIMALE-DUALE. POUR Y REMEDIER, NOUS PROPOSONS ET METTONS EN OEUVRE 4 AMELIORATIONS IMPORTANTES DE LA METHODE DUALE ; NOTAMMENT, UNE METHODE DE RECENTRAGE DU PREMIER POINT REALISABLE SOUS UNE CONTRAINTE PLANCHER, AINSI QU'UNE ADAPTATION DE LA METHODE POLYNOMIALE DE GONZAGA, QUI VONT CONSTITUER DEUX CODES PARTICULIEREMENT EFFICACES : REO2. ET GONZ. L'UNE DE CES DEUX METHODES POURRA AMELIORER LA ROBUSTESSE DES METHODES PRIMALES-DUALES. AVEC NOTRE NOUVEAU PROTOCOLE EXPERIMENTAL ET GRACE A NOS AMELIORATIONS DE LA METHODE DUALE, NOUS METTONS EN EVIDENCE DES PHENOMENES NUMERIQUES TOUT A FAIT INTERESSANTS, INCONNUS JUSQU'ALORS, QUI VONT REMETTRE EN QUESTION LES CONCLUSIONS ETABLIES PAR LA COMMUNAUTE SCIENTIFIQUE. LORS DE TESTS NUMERIQUES TRES POUSSES, NOUS CONFIRMONS QUE LES MEILLEURES METHODES PRIMALES-DUALES SONT INCONTESTABLEMENT PLUS RAPIDES QUE LES MEILLEURES METHODES DUALES, MAIS DANS DES PROPORTIONS BIEN MOINDRES QU'IL N'Y PARAISSAIT. DE PLUS, LES CODES DUAUX SE SONT AVERES NETTEMENT PLUS ROBUSTES QUE LES CODES PRIMAUX-DUAUX. EN CONCLUSION, NOUS NOUS DEMANDONS ALORS LEGITIMEMENT, LORSQUE L'ON CONCOIT UN LOGICIEL - QUE L'ON VEUT EFFICACE - DE PROGRAMMATION MATHEMATIQUE, S'IL N'EST PAS PREFERABLE DE LUI DONNER A LA FOIS DES QUALITES DE RAPIDITE ET DE ROBUSTESSE PLUTOT QUE SEULEMENT LA PREMIERE DE CELLES-CI.
Book Synopsis Multiple Criteria Optimization by : Xavier Gandibleux
Download or read book Multiple Criteria Optimization written by Xavier Gandibleux and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process. MCDM consists mostly of two branches, multiple criteria optimization and multi-criteria decision analysis (MCDA). While MCDA is typically concerned with multiple criteria problems that have a small number of alternatives often in an environment of uncertainty (location of an airport, type of drug rehabilitation program), multiple criteria optimization is typically directed at problems formulated within a mathematical programming framework, but with a stack of objectives instead of just one (river basin management, engineering component design, product distribution). It is about the most modern treatment of multiple criteria optimization that this book is concerned. I look at this book as a nicely organized and well-rounded presentation of what I view as ”new wave” topics in multiple criteria optimization. Looking back to the origins of MCDM, most people agree that it was not until about the early 1970s that multiple criteria optimization c- gealed as a field. At this time, and for about the following fifteen years, the focus was on theories of multiple objective linear programming that subsume conventional (single criterion) linear programming, algorithms for characterizing the efficient set, theoretical vector-maximum dev- opments, and interactive procedures.
Book Synopsis Persistence Theory: From Quiver Representations to Data Analysis by : Steve Y. Oudot
Download or read book Persistence Theory: From Quiver Representations to Data Analysis written by Steve Y. Oudot and published by American Mathematical Soc.. This book was released on 2017-05-17 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Persistence theory emerged in the early 2000s as a new theory in the area of applied and computational topology. This book provides a broad and modern view of the subject, including its algebraic, topological, and algorithmic aspects. It also elaborates on applications in data analysis. The level of detail of the exposition has been set so as to keep a survey style, while providing sufficient insights into the proofs so the reader can understand the mechanisms at work. The book is organized into three parts. The first part is dedicated to the foundations of persistence and emphasizes its connection to quiver representation theory. The second part focuses on its connection to applications through a few selected topics. The third part provides perspectives for both the theory and its applications. The book can be used as a text for a course on applied topology or data analysis.
Book Synopsis Quantum Mechanics, Volume 3 by : Claude Cohen-Tannoudji
Download or read book Quantum Mechanics, Volume 3 written by Claude Cohen-Tannoudji and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, third volume of Cohen-Tannoudji's groundbreaking textbook covers advanced topics of quantum mechanics such as uncorrelated and correlated identical particles, the quantum theory of the electromagnetic field, absorption, emission and scattering of photons by atoms, and quantum entanglement. Written in a didactically unrivalled manner, the textbook explains the fundamental concepts in seven chapters which are elaborated in accompanying complements that provide more detailed discussions, examples and applications. * Completing the success story: the third and final volume of the quantum mechanics textbook written by 1997 Nobel laureate Claude Cohen-Tannoudji and his colleagues Bernard Diu and Franck Laloë * As easily comprehensible as possible: all steps of the physical background and its mathematical representation are spelled out explicitly * Comprehensive: in addition to the fundamentals themselves, the books comes with a wealth of elaborately explained examples and applications Claude Cohen-Tannoudji was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris where he also studied and received his PhD in 1962. In 1973 he became Professor of atomic and molecular physics at the Collège des France. His main research interests were optical pumping, quantum optics and atom-photon interactions. In 1997, Claude Cohen-Tannoudji, together with Steven Chu and William D. Phillips, was awarded the Nobel Prize in Physics for his research on laser cooling and trapping of neutral atoms. Bernard Diu was Professor at the Denis Diderot University (Paris VII). He was engaged in research at the Laboratory of Theoretical Physics and High Energy where his focus was on strong interactions physics and statistical mechanics. Franck Laloë was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris. His first assignment was with the University of Paris VI before he was appointed to the CNRS, the French National Research Center. His research was focused on optical pumping, statistical mechanics of quantum gases, musical acoustics and the foundations of quantum mechanics.
Book Synopsis Belief Functions: Theory and Applications by : Sébastien Destercke
Download or read book Belief Functions: Theory and Applications written by Sébastien Destercke and published by Springer. This book was released on 2018-09-07 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.
Book Synopsis Statistical Applications in the Earth Sciences by : F. P. Agterberg
Download or read book Statistical Applications in the Earth Sciences written by F. P. Agterberg and published by Energy, Mines and Resources Canada. This book was released on 1990 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collection of papers presented at the Colloquium, covering the broad subject areas of spatial data integration, statistical analysis of geoscience data, and quantitative stratigraphy. Working Group reports are included as well.
Book Synopsis Product Life-Cycle Management by : Max Giordano
Download or read book Product Life-Cycle Management written by Max Giordano and published by John Wiley & Sons. This book was released on 2012-12-17 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive view of the most recent major international research in the field of tolerancing, and is an excellent resource for anyone interested in Computer Aided Tolerating. It is organized into 4 parts. Part 1 focuses on the more general problems of tolerance analysis and synthesis, for tolerancing in mechanical design and manufacturing processes. Part 2 specifically highlights the simulation of assembly with defects, and the influence of tolerances on the quality of the assembly. Part 3 deals with measurement aspects, and quality control throughout the life cycle. Different measurement technologies and methods for estimating uncertainty are considered. In Part 4, different aspects of tolerancing and their interactions are explored, from the definition of functional requirement to measurement processes in a PLM approach.
Book Synopsis CIKM'13 by : CIKM 13 Conference Committee
Download or read book CIKM'13 written by CIKM 13 Conference Committee and published by . This book was released on 2013-10-27 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIKM'13: 22nd ACM International Conference on Information and Knowledge Management Oct 27, 2013-Nov 01, 2013 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
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 Nonlinear Programming Codes by : Klaus Schittkowski
Download or read book Nonlinear Programming Codes written by Klaus Schittkowski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis The Nature of Statistical Learning Theory by : Vladimir Vapnik
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Book Synopsis Methods in Membrane Lipids by : Alex M. Dopico
Download or read book Methods in Membrane Lipids written by Alex M. Dopico and published by Springer Science & Business Media. This book was released on 2007-08-30 with total page 1265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compendium of methodologies for the study of membrane lipids, varying from traditional lab bench experimentation to computer simulation and theoretical models. The volume provides a comprehensive set of techniques for studying membrane lipids with a strong biophysical emphasis. It compares the various available techniques including the pros and cons as seen by the experts.
Book Synopsis Sparse Image and Signal Processing by : Jean-Luc Starck
Download or read book Sparse Image and Signal Processing written by Jean-Luc Starck and published by Cambridge University Press. This book was released on 2015-10-14 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.
Book Synopsis Modeling and Optimization: Theory and Applications by : János D. Pintér
Download or read book Modeling and Optimization: Theory and Applications written by János D. Pintér and published by Springer. This book was released on 2019-02-14 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in B ethlehem, Pennsylvania, USA between August 16-18, 2017. The conference brought together a diverse group of researchers and practitioners working on both theoretical and practical aspects of continuous and discrete optimization. Topics covered include algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and address the application of deterministic andstochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The selected contributions in this book illustrate the broad diversity of ideas discussed at the meeting.
