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Boundary value problems --- Mathematical physics --- Maxima and minima --- Problèmes aux limites --- Physique mathématique --- Maxima et minima --- Maxima and minima. --- Boundary value problems. --- Mathematical physics. --- Problèmes aux limites --- Physique mathématique --- Minima --- Mathematics --- Physical mathematics --- Physics --- Boundary conditions (Differential equations) --- Differential equations --- Functions of complex variables --- Initial value problems
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Calculus of variations --- Form (Philosophy) --- Motion --- Nature (Aesthetics) --- Art and nature --- Nature and art --- Aesthetics --- Kinetics --- Dynamics --- Physics --- Kinematics --- Idealism --- Matter --- Metaphysics --- Structuralism --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Calculus of variations. --- Motion. --- Form (Philosophy). --- Nature (Aesthetics).
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L'auteur a fait sienne cette universelle maxime chinoise : « j'entends et j'oublie (cours oral) je vois et je retiens (étude du cours) je fais et je comprends » (exercices)… Ainsi, ce livre est un recueil d'exercices et problèmes corrigés, de difficulté graduée, accompagnés de commentaires sur l'utilisation du résultat obtenu, sur un prolongement possible et, occasionnellement, placés dans un contexte historique. Chaque chapitre débute par des rappels de définitions et résultats du Cours. Le cadre de travail est volontairement simple, l'auteur a voulu insister sur les idées et mécanismes de base davantage que sur des généralisations possibles ou des techniques particulières à telle ou telle situation. Les connaissances mathématiques requises pour tirer profit du recueil ont été maintenues minimales, celles normalement acquises à Bac+3 (ou Bac+2 suivant les cas). L'approche retenue pour avancer est celle d'une progression en spirale plutôt que linéaire au sens strict. Pour ce qui est de l'enseignement, les aspects de l'optimisation et analyse convexe traités dans cet ouvrage trouvent leur place dans les formations de niveau M1, parfois L3, (modules généralistes ou professionnalisés) et dans la formation mathématique des ingénieurs (en 2e année d'école, parfois en 1re année). La connaissance de ces aspects est un préalable à des formations plus en aval, en optimisation numérique par exemple. Détails: après un chapitre de révisions de base (analyse linéaire et bilinéaire, calcul différentiel), l'ouvrage aborde l'optimisation par les conditions d'optimalité (chap. 2 et 3), le rôle incontournable de la dualisation des problèmes (chap. 4) et le monde particulier de l'optimisation linéaire (chap.5). L'analyse convexe est traitée par l'initiation à la manipulation des concepts suivants : projection sur un convexe fermé (chap.6), le calcul sous différentiel et de transformées de Legendre-Fenchel (chap.7).
Convex functions --- Mathematical optimization --- Functions, Convex --- Functions of real variables --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis
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Operational research. Game theory --- Mathematical optimization --- Maxima and minima --- 519.8 --- #KVIV --- #WWIS:STAT --- 519.85 --- 681.3*G16 --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Operations research --- Simulation methods --- System analysis --- Minima --- Mathematics --- Operational research --- Mathematical programming --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Mathematical optimization. --- Maxima and minima. --- 519.8 Operational research --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 519.85 Mathematical programming
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Mathematical control systems --- Engineering sciences. Technology --- Boundary value problems --- -Calculus of variations --- Eigenvalues --- Engineering mathematics --- Engineering --- Engineering analysis --- Mathematical analysis --- Matrices --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Boundary conditions (Differential equations) --- Differential equations --- Functions of complex variables --- Mathematical physics --- Initial value problems --- Numerical solutions --- Mathematics --- Eigenvalues. --- Calculus of variations. --- Engineering mathematics. --- Numerical solutions. --- Calculus of variations
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Control theory. --- Mathematical optimization. --- Théorie de la commande --- Optimisation mathématique --- Control theory --- Mathematical optimization --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Dynamics --- Machine theory --- Commande, Théorie de la --- Commande, Théorie de la. --- Optimisation mathématique.
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681.3*G1 --- Numerical analysis --- Mathematical models. --- Mathematical optimization. --- Numerical analysis. --- 681.3*G1 Numerical analysis --- Mathematical models --- Mathematical optimization --- Mathematical analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Models, Mathematical
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Optimal Shape Design is concerned with the optimization of some performance criterion dependent (besides the constraints of the problem) on the "shape" of some region. The main topics covered are: the optimal design of a geometrical object, for instance a wing, moving in a fluid; the optimal shape of a region (a harbor), given suitable constraints on the size of the entrance to the harbor, subject to incoming waves; the optimal design of some electrical device subject to constraints on the performance. The aim is to show that Optimal Shape Design, besides its interesting industrial applications, possesses nontrivial mathematical aspects. The main theoretical tools developed here are the homogenization method and domain variations in PDE. The style is mathematically rigorous, but specifically oriented towards applications, and it is intended for both pure and applied mathematicians. The reader is required to know classical PDE theory and basic functional analysis.
Mathematical optimization. --- Structural optimization --- Mathematics. --- Mathematical optimization --- Optimalisation mathématique --- Wiskundige optimisatie --- Mathematics --- Structural optimization - Mathematics. --- Mathematical analysis. --- Analysis (Mathematics). --- Calculus of variations. --- Analysis. --- Calculus of Variations and Optimal Control; Optimization. --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- 517.1 Mathematical analysis --- Mathematical analysis
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Combinatorial optimization. --- Integer programming. --- Mathematical optimization. --- Programmation en nombres entiers --- 517 --- Combinatorial optimization --- Integer programming --- Mathematical optimization --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Optimization, Combinatorial --- 517 Analysis --- Analysis --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Programming (Mathematics) --- Combinatorial analysis --- Discrete mathematics --- Operational research. Game theory --- Optimisation combinatoire --- Optimisation mathématique --- Programmation en nombres entiers. --- Optimisation mathématique. --- Optimisation combinatoire.
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Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions. The topics treated in this volume include: systems of inequalities, the minimum or maximum of a convex function over a convex set, Lagrange multipliers, minimax theorems and duality, as well as basic results about the structure of convex sets and the continuity and differentiability of convex functions and saddle- functions. This book has firmly established a new and vital area not only for pure mathematics but also for applications to economics and engineering. A sound knowledge of linear algebra and introductory real analysis should provide readers with sufficient background for this book. There is also a guide for the reader who may be using the book as an introduction, indicating which parts are essential and which may be skipped on a first reading.
517.1 --- Convex domains --- Convex regions --- Convexity --- Calculus of variations --- Convex geometry --- Point set theory --- 517.1 Introduction to analysis --- Introduction to analysis --- Mathematical analysis. --- Convex domains. --- 517.1 Mathematical analysis --- Mathematical analysis --- Fonctions convexes --- Convex functions --- Nonlinear functional analysis --- Maxima and minima --- Analyse fonctionnelle non linéaire. --- Maximums et minimums. --- 516.08 --- 51 --- AA / International- internationaal --- Wiskunde --- Operational research. Game theory --- Functional analysis
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