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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Fur viele Aufgabenstellungen bei der Automatisierung technischer Systeme sowie im Bereich der Naturwissenschaften und Wirtschaftswissenschaften benotigt man genaue mathematische Modelle fur das dynamische Verhalten von Systemen. Das Werk behandelt Methoden zur Ermittlung dynamischer Modelle aus gemessenen Signalen, die unter dem Begriff Systemidentifikation oder Prozessidentifikation zusammengefasst werden. "Band 2" beschreibt weitergehende Methoden und Anwendungen: - Maximum-Likelihood-Methode; - Rekursive Parameterschatzung; - Modellabgleich-Verfahren; - Mehrgrossen- und nichtlineare Systeme; - Anwendungen in Maschinenbau und Elektrotechnik, Energie- und Verfahrenstechnik. Beide Bande bilden eine Einheit und fuhren systematisch von den Grundlagen bis zu den Problemen des praktischen Einsatzes. Sie wenden sich daher sowohl an Studenten der Fachrichtungen Elektrotechnik, Maschinenbau, Informatik, Mathematik, Natur- und Wirtschaftswissenschaften als auch an die in der Praxis tatigen Ingenieure und Wissenschaftler."
Fur viele Aufgabenstellungen bei der Automatisierung technischer Systeme und im Bereich der Naturwissenschaften und Wirtschaftswissenschaften benotigt man genaue mathematische Modelle fur das dynamische Verhalten von Systemen. Das Werk behandelt Methoden zur Ermittlung dynamischer Modelle aus gemessenen Signalen, die unter dem Begriff Systemidentifikation oder Prozessidentifikation zusammengefasst werden. In "Band 1" werden die grundlegenden Methoden behandelt. Nach einer kurzen Einfuhrung in die benotigten Grundlagen linearer Systeme wird zunachst die Identifikation nichtparametrischer Modelle mit zeitkontinuierlichen Signalen mittels Fourieranalyse, Frequenzgangmessung und Korrelationsanalyse behandelt. Dann folgt eine Einfuhrung in die Parameterschatzung fur parametrische Modelle mit zeitdiskreten Signalen. Dabei steht die Methode der kleinsten Quadrate im Vordergrund, gefolgt von ihren Modifikationen, der Hilfsvariablenmethode und der stochastischen Approximation."
It is commonly believed that macroeconomic models are not useful for policy analysis because they do not take proper account of agents' expectations. Over the last decade, mainstream macroeconomic models in the UK and elsewhere have taken on board the Rational Expectations Revolution' by explicitly incorporating expectations of the future. In principle, one can perform the same technical exercises on a forward expectations model as on a conventional model -- and more Rational Expectations in Macroeconomic Models deals with the numerical methods necessary to carry out policy analysis and forecasting with these models. These methods are often passed on by word of mouth or confined to obscure journals. Rational Expectations in Macroeconomic Models brings them together with applications which are interesting in their own right. There is no comparable textbook in the literature. The specific subjects include: (i) solving for model consistent expectations; (ii) the choice of terminal condition and time horizon; (iii) experimental design: i.e., the effect of temporary vs permanent, anticipated vs. unanticipated shocks; deterministic vs. stochastic, dynamic vs. static simulation; (iv) the role of exchange rate; (v) optimal control and inflation-output tradeoffs. The models used are those of the Liverpool Research Group in Macroeconomics, the London Business School and the National Institute of Economic and Social Research.
Not many disciplines can c1aim the richness of creative ideas that make up the subject of analytical mechanics. This is not surprising since the beginnings of analyti cal mechanics mark also the beginnings of the theoretical treatment of other physical sciences, and contributors to analytical mechanics have been many, inc1uding the most brilliant mathematicians and theoreticians in the history of mankind. As the foundation for theoretical physics and the associated branches of the engineering sciences, an adequate command of analytical mechanics is an essential tool for any engineer, physicist, and mathematician active in dynamics. A fascinating dis cipline, analytical mechanics is not only indispensable for the solution of certain mechanics problems but also contributes so effectively towards a fundamental under standing of the subject of mechanics and its applications. In analytical mechanics the fundamental laws are expressed in terms of work done and energy exchanged. The extensive use of mathematics is a consequence of the fact that in analytical mechanics problems can be expressed by variational State ments, thus giving rise to the employment of variational methods. Further it can be shown that the independent variables may be either displacements or impulses, thus providing in principle the possibility of two complementary formulations, i.e. a dis placement formulation and an impulse formulation, for each problem. This duality is an important characteristic of mechanics problems and is given special emphasis in the present book."
This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three separate layers of process control: direct control, set-point control, and economic optimization. The book features illustrations of the methodologies and algorithms by worked examples and by results of simulations based on industrial process models.
This book has as its subject the boundary value theory of holomorphic functions in several complex variables, a topic that is just now coming to the forefront of mathematical analysis. For one variable, the topic is classical and rather well understood. In several variables, the necessary understanding of holomorphic functions via partial differential equations has a recent origin, and Professor Stein's book, which emphasizes the potential-theoretic aspects of the boundary value problem, should become the standard work in the field. Originally published in 1972. 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.
Global analysis describes diverse yet interrelated research areas in analysis and algebraic geometry, particularly those in which Kunihiko Kodaira made his most outstanding contributions to mathematics. The eminent contributors to this volume, from Japan, the United States, and Europe, have prepared original research papers that illustrate the progress and direction of current research in complex variables and algebraic and differential geometry. The authors investigate, among other topics, complex manifolds, vector bundles, curved 4-dimensional space, and holomorphic mappings. Bibliographies facilitate further reading in the development of the various studies. Originally published in 1970. 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.
This textbook on the calculus of variations leads the reader from the basics to modern aspects of the theory. One-dimensional problems and the classical issues such as Euler-Lagrange equations are treated, as are Noether's theorem, Hamilton-Jacobi theory, and in particular geodesic lines, thereby developing some important geometric and topological aspects. The basic ideas of optimal control theory are also given. The second part of the book deals with multiple integrals. After a review of Lebesgue integration, Banach and Hilbert space theory and Sobolev spaces (with complete and detailed proofs), there is a treatment of the direct methods and the fundamental lower semicontinuity theorems. Subsequent chapters introduce the basic concepts of the modern calculus of variations, namely relaxation, Gamma convergence, bifurcation theory and minimax methods based on the Palais-Smale condition. The prerequisites are knowledge of the basic results from calculus of one and several variables. After having studied this book, the reader will be well equipped to read research papers in the calculus of variations.
Global analysis describes diverse yet interrelated research areas in analysis and algebraic geometry, particularly those in which Kunihiko Kodaira made his most outstanding contributions to mathematics. The eminent contributors to this volume, from Japan, the United States, and Europe, have prepared original research papers that illustrate the progress and direction of current research in complex variables and algebraic and differential geometry. The authors investigate, among other topics, complex manifolds, vector bundles, curved 4-dimensional space, and holomorphic mappings. Bibliographies facilitate further reading in the development of the various studies. Originally published in 1970. 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.
Ce cours est une introduction A la modA(c)lisation mathA(c)matique et A l'analyse numA(c)rique pour la chimie molA(c)culaire quantique, un champ peu connu des mathA(c)maticiens et pourtant riche en sujets d'investigation. Le point de vue choisi est celui du mathA(c)maticien appliquA(c). Le cours est construit de maniA]re auto-consistante. Seules des notions de base en analyse fonctionnelle sont requises pour l'aborder. Les outils mathA(c)matiques plus A(c)laborA(c)s sont introduits progressivement et les connaissances nA(c)cessaires en physique et en thA(c)orie spectrale sont regroupA(c)es dans des annexes. On prA(c)sente d'abord les modA]les les plus utilisA(c)s en pratique. Puis, on analyse ces modA]les d'un point de vue mathA(c)matique (questions d'existence de solutions, d'unicitA(c), ...). On introduit ensuite les diffA(c)rentes stratA(c)gies numA(c)riques employA(c)es pour la rA(c)solution pratique, et on fournit, quand ceci est possible, des A(c)lA(c)ments d'analyse numA(c)rique de ces mA(c)thodes. Les liens existants entre les modA]les de la chimie molA(c)culaire et des sujets connexes sont aussi explorA(c)s: modA(c)lisation de la phase liquide, physique de l'A(c)tat cristallin, biologie, simulation des matA(c)riaux, ... Le cours peut aussi intA(c)resser le chimiste ou le physicien curieux de comprendre les techniques mathA(c)matiques dont relA]vent les modA]les qu'il utilise, et de dA(c)couvrir comment de telles techniques peuvent amA(c)liorer significativement l'efficacitA(c) et la qualitA(c) des simulations numA(c)riques.
Ce livre est une initiation aux approches modernes de l'optimisation mathematique de formes. Il s'appuie sur les seules connaissances de premiere annee de Master de mathematiques, mais permet deja d'aborder les questions ouvertes dans ce domaine en pleine effervescence. On y developpe la methodologie ainsi que les outils d'analyse mathematique et de geometrie necessaires a l'etude des variations de domaines. On y trouve une etude systematique des questions geometriques associees a l'operateur de Laplace, de la capacite classique, de la derivation par rapport a une forme, ainsi qu'un FAQ sur les topologies usuelles sur les domaines et sur les proprietes geometriques des formes optimales avec ce qui se passe quand elles n'existent pas, le tout avec une importante bibliographie.
Guicciardini presents a comprehensive survey of both the research and teaching of Newtonian calculus, the calculus of "fluxions", over the period between 1700 and 1810. Although Newton was one of the inventors of calculus, the developments in Britain remained separate from the rest of Europe for over a century. While it is usually maintained that after Newton there was a period of decline in British mathematics, the author's research demonstrates that the methods used by researchers of the period yielded considerable success in laying the foundations and investigating the applications of the calculus. Even when "decline" set in, in mid century, the foundations of the reform were being laid, which were to change the direction and nature of the mathematics community. The book considers the importance of Isaac Newton, Roger Cotes, Brook Taylor, James Stirling, Abraham de Moivre, Colin Maclaurin, Thomas Bayes, John Landen and Edward Waring. This will be a useful book for students and researchers in the history of science, philosophers of science and undergraduates studying the history of mathematics.
These lecture notes are devoted to the analysis of a nonlocal equation in the whole of Euclidean space. In studying this equation, all the necessary material is introduced in the most self-contained way possible, giving precise references to the literature when necessary. The results presented are original, but no particular prerequisite or knowledge of the previous literature is needed to read this text. The work is accessible to a wide audience and can also serve as introductory research material on the topic of nonlocal nonlinear equations.
This hands-on guide is primarily intended to be used in
undergraduate laboratories in the physical sciences and
engineering. It assumes no prior knowledge of statistics. It
introduces the necessary concepts where needed, with key points
illustrated with worked examples and graphic illustrations. In
contrast to traditional mathematical treatments it uses a
combination of spreadsheet and calculus-based approaches, suitable
as a quick and easy on-the-spot reference. The emphasis throughout
is on practical strategies to be adopted in the laboratory.
This book deals with a class of mathematical problems which involve the minimization of the sum of a volume and a surface energy and have lately been refered to as 'free discontinuity problems'. Examples of such problems come from fracture mechanics, image analysis, or the theory of phase transitions. A systematic introduction to this field, this book is highly suitable for graduate students, bridging the gap between research level texts and elementary textbooks on measure theory and calculus of variation. The first half of the book contains a comprehensive and updated treatment of the theory of Functions of Bounded Variation and of the mathematical prerequisites of that theory, that is Abstract Measure Theory and Geometric Measure Theory.
This text discusses existence and necessary conditions, such as Potryagin's maximum principle, for optimal control problems described by ordinary and partial differential equations. These necessary conditions are obtained from KuhnTucker theorems for nonlinear programming problems in infinite dimensional spaces. The optimal control problems include control constraints, state constraints and target conditions. Evolution partial differential equations are studied using semigroup theory, abstract differential equations in linear spaces, integral equations and interpolation theory. Existence of optimal controls is established for arbitrary control sets by means of a general theory of relaxed controls. Applications include nonlinear systems described by partial differential equations of hyperbolic and parabolic type and results on convergence of suboptimal controls.
Modelle von komplexen, dynamischen Systemen findet man heute nicht nur innerhalb der Nachrichten- und Regelungstechnik, sondern auch in den anderentechnischen Disziplinen, den Natur-, Sozial-, Wirtschafts- und Umweltwissenschaften. Seitdem gr- ere elektronische Rechnerkapazit{ten verf}gbar sind, erm-glicht die numerische Simulation die Systemanalyse anhand dieser Modelle. Dieses Lehrbuch f}hrt in die Simulationsmethode ein, nachdem der notwendige erste Schritt, die Modellbildung ausf}hrlich behandelt wurde. Ein umfangreiches Kapitel istder Identifikation gewidmet, bei der aufgrund vorhandener Me daten Struktur und Parameter von Modellen festgelegt werden. Als Beispiele zur Illustration dieser interdisziplin{ren Me- thoden werden zwar nat}rliche undtechnische Systeme verwen- det, der Lernstoff wird jedoch unabh{ngig von speziellen An- wendungen formuliert. Mathematikkenntnisse entsprechend dem Vordiplom in den Ingenieurwissenschaften werden zwar voraus- gesetzt, der Autor, selbst Ingenieur, bem}ht sich jedoch, auch die notwendig abstrakten Inhalte f}r Nicht-Mathematiker verst{ndlich darzustellen.
Dieser Band Numerische Mathematik hat Prinzipien des numerischen Rechnens, numerische lineare Algebra und Naherungsmethoden in der Analysis zum Inhalt. Der Begriff der Approximation zieht sich als roter Faden durch den gesamten Text. Die Betonung liegt dabei weniger auf der Bereitstellung moglichst vieler Algorithmen als vielmehr auf der Vermittlung mathematischer Uberlegungen, die zur Konstruktion von Verfahren fuhren. Jedoch werden auch der algorithmische Aspekt und entsprechende Effizienzbetrachtungen gebuhrend berucksichtigt. An vielen Stellen geht der dargebotene Stoff uber den Inhalt einer einschlagigen Vorlesung zur numerischen Mathematik hinaus, so dass man beim Gebrauch des Buches neben einer solchen Vorlesung eine Auswahl treffen wird. Dem Charakter der Reihe Grundwissen Mathematik entsprechend sind zahlreiche historische Anmerkungen eingeflochten. Besonderer Wert wird auf Querverbindungen und motivierende Erklarungen gelegt. Das Buch eignet sich zum Selbststudium und auch als Begleittext zu Vorlesungen. Diese 2. Auflage wurde uberarbeitet und erganzt. Zu den Erganzungen gehort eine Darstellung der Idee der schnellen Fouriertransformation.
0.1. Grauert, H.; Lieb, I.: Differential- und Integralrechnung I. Funktionen einer reel len Veranderlichen (Heidelberger Taschen- bucher 26). 4. Aufl. Springer, Berlin - Heidelberg - New York 1976. 0.2. Grauert, H.; Fischer, w.: Differential- und Integralrechnung II. Differentialrechnung in mehreren Veranderlichen. Differential- gleichungen (Heidelberger Taschenbucher 36). 3. Aufl. Ebenfalls 1978. 0.3. Grauert, H.; Lieb, I.: Differential- und Integralrechnunq III. Integrationstheorie. Kurven- und Flachenintegrale (Heidelberger Taschenbuch 43). 2. Aufl. Ebenfalls 1977. 0.4. Janich, K.: Analysis fur Physiker und Ingenieure. Springer, Berlin - Heidelberg - New York - Tokyo 1983. 0.5. Kuratowski, K.: Introduction to Calculus (Pure and Appl. Math. 17). Pergamon - Polish Scient. Publ., Oxford - London - New York- Paris - Warszawa 1961 (Ubersetzung aus dem Polnischen) . 0.6. Sikorski, R.: Advanced Calculus. Functions of Several Variables (Monogr. Mat. 51). Polish Scient. Publ., Warszawa 1969 (Ubersetzung aus dem Polnischen) - 0.7. Strubecker, K.: Einfuhrung in die hahere Mathematik mit beson- derer Berlicksichtigung ihrer Anwendungen auf Geometrie, Physik, Naturwissenschaften und Technik, Band I: Grundlagen. 2. Aufl. R. Oldenbourg, Munchen - \, lien 1966. 0.8. Strubecker, K.: Einfuhrung in die hohere Mathematik --., Band II: Differentialrechnung einer reellen Veranderlichen. Ebenfalls 1967. 0.9. Strubecker, K.: Einfuhrung in die hohere Mathematik -.-, Band III: Integralrechnung einer reellen Veranderlichen. Ebenfalls 1980. 0.10. Wa ter, W.: Analysis I (Grundwiss. Math. 3). Springer, Berlin- Heidelberg - New York - Tokyo 1984.
This comprehensive treatment of multivariable calculus focuses on the numerous tools that MATLAB (R) brings to the subject, as it presents introductions to geometry, mathematical physics, and kinematics. Covering simple calculations with MATLAB (R), relevant plots, integration, and optimization, the numerous problem sets encourage practice with newly learned skills that cultivate the reader's understanding of the material. Significant examples illustrate each topic, and fundamental physical applications such as Kepler's Law, electromagnetism, fluid flow, and energy estimation are brought to prominent position. Perfect for use as a supplement to any standard multivariable calculus text, a "mathematical methods in physics or engineering" class, for independent study, or even as the class text in an "honors" multivariable calculus course, this textbook will appeal to mathematics, engineering, and physical science students. MATLAB (R) is tightly integrated into every portion of this book, and its graphical capabilities are used to present vibrant pictures of curves and surfaces. Readers benefit from the deep connections made between mathematics and science while learning more about the intrinsic geometry of curves and surfaces. With serious yet elementary explanation of various numerical algorithms, this textbook enlivens the teaching of multivariable calculus and mathematical methods courses for scientists and engineers.
Das umfangreiche berichtende Schrifttum, an das viele Mathe matiker in den letzten Jahrzehnten ihre Krafte gewandt haben, bietet wenigstens den Nutzen, dass rein geschichtliche Zitate uber flussig geworden sind. So sei denn verwiesen auf die der Varia tionsrechnung gewidmeten Aufsatze in der Enzyklopadie der mathematischen Wissenschaften von Kneser (1904), Hahn und Zermelo (1904) und besonders auf die sehr vollstandige Dar stellung von Lecat in der franzosischen Ausgabe der Enzyklo padie (Il, 6, Leipzig 1916). Sehr nutzlich sind ferner die biblio graphischen Werke: Lecat, Bibliographie du calcul des variations 1850-1913. Gent und Paris 1913. Leca t, Bibliographie du calcul des variations depuis les origines jusqu'a 1850. Gent und Paris 1916. Mit Erganzungen zu dem vorigen Werk. Wir berichten E: rganzend uber die bisher behandelten Bei spiele und Anwendungen der im vorliegenden Werk entwickelten Theorien, und fuhren vorweg die wichtigeren systematischen Dar stellungen der Variationsrechnung auf. Euler, Methodus inveniendi lineas curvas maximi minimive proprietate gaudentes. Genf und Lausanne 1744. de calcul des variations. Mitarbeiter Lindelof, Le"
The purpose of this book is to develop the stable trace formula for unitary groups in three variables. The stable trace formula is then applied to obtain a classification of automorphic representations. This work represents the first case in which the stable trace formula has been worked out beyond the case of SL (2) and related groups. Many phenomena which will appear in the general case present themselves already for these unitary groups.
In many dynamical systems, time delays arise because of the time it takes to measure system states, perceive and evaluate events, formulate decisions, and act on those decisions. The presence of delays may lead to undesirable outcomes; without an engineered design, the dynamics may underperform, oscillate, and even become unstable. How to study the stability of dynamical systems influenced by time delays is a fundamental question. Related issues include how much time delay the system can withstand without becoming unstable and how to change system parameters to render improved dynamic characteristics, utilize or tune the delay itself to improve dynamical behavior, and assess the stability and speed of response of the dynamics. Mastering Frequency Domain Techniques for the Stability Analysis of LTI Time Delay Systems addresses these questions for linear time-invariant (LTI) systems with an eigenvalue-based approach built upon frequency domain techniques. Readers will find key results from the literature, including all subtopics for those interested in deeper exploration. The book presents step-by-step demonstrations of all implementations-including those that require special care in mathematics and numerical implementation-from the simpler, more intuitive ones in the introductory chapters to the more complex ones found in the later chapters. Maple and MATLAB code is available from the author's website. This multipurpose book is intended for graduate students, instructors, and researchers working in control engineering, robotics, mechatronics, network control systems, human-in-the-loop systems, human-machine systems, remote control and tele-operation, transportation systems, energy systems, and process control, as well as for those working in applied mathematics, systems biology, and physics. It can be used as a primary text in courses on stability and control of time delay systems and as a supplementary text in courses in the above listed domains. |
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