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Featuring real-world applications from engineering and science fields, A Course in Ordinary Differential Equations is the first book on ordinary differential equations (ODEs) to include relevant computer code and instructions of MATLAB, Mathematica, and Maple. The book embeds the computer algebra code throughout, presenting the syntax next to the relevant theory. It fully describes approximations used to obtain numerical solutions. The authors also present explanations on how to use these programs to solve ODEs and to qualitatively understand autonomous ODEs. With numerous appendices to supplement learning, this book is ideal for students and professionals in mathematics, engineering, and the sciences.
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Many problems in science and engineering are described by nonlinear differential equations, which can be notoriously difficult to solve. Through the interplay of topological and variational ideas, methods of nonlinear analysis are able to tackle such fundamental problems. This graduate text explains some of the key techniques in a way that will be appreciated by mathematicians, physicists and engineers. Starting from elementary tools of bifurcation theory and analysis, the authors cover a number of more modern topics from critical point theory to elliptic partial differential equations. A series of Appendices give convenient accounts of a variety of advanced topics that will introduce the reader to areas of current research. The book is amply illustrated and many chapters are rounded off with a set of exercises.
Nonlinear theories. --- Differential equations, Elliptic. --- Théories non linéaires --- Equations différentielles elliptiques --- Elliptic differential equations --- Elliptic partial differential equations --- Linear elliptic differential equations --- Differential equations, Linear --- Differential equations, Partial --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics
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The present volume is self-contained and introduces to the treatment of linear and nonlinear (quasi-linear) abstract evolution equations by methods from the theory of strongly continuous semigroups. The theoretical part is accessible to graduate students with basic knowledge in functional analysis. Only some examples require more specialized knowledge from the spectral theory of linear, self-adjoint operators in Hilbert spaces. Particular stress is on equations of the hyperbolic type since considerably less often treated in the literature. Also, evolution equations from fundamental physics need to be compatible with the theory of special relativity and therefore are of hyperbolic type. Throughout, detailed applications are given to hyperbolic partial differential equations occurring in problems of current theoretical physics, in particular to Hermitian hyperbolic systems. This volume is thus also of interest to readers from theoretical physics.
Differential equations, Partial. --- Differential equations, Linear. --- Equations aux dérivées partielles --- Equations différentielles linéaires --- Electronic books. -- local. --- Differential equations, Partial --- Differential equations, Linear --- Mathematics --- Physical Sciences & Mathematics --- Calculus --- Linear differential equations --- Partial differential equations --- Mathematics. --- Mathematical analysis. --- Analysis (Mathematics). --- Operator theory. --- Partial differential equations. --- Analysis. --- Operator Theory. --- Partial Differential Equations. --- Functional analysis --- 517.1 Mathematical analysis --- Mathematical analysis --- Math --- Science --- Linear systems --- Global analysis (Mathematics). --- Differential equations, partial. --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic
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Although, bifurcation theory of equations with autonomous and periodic time dependence is a major object of research in the study of dynamical systems since decades, the notion of a nonautonomous bifurcation is not yet established. In this book, two different approaches are developed which are based on special definitions of local attractivity and repulsivity. It is shown that these notions lead to nonautonomous Morse decompositions, which are useful to describe the global asymptotic behavior of systems on compact phase spaces. Furthermore, methods from the qualitative theory for linear and nonlinear systems are derived, and nonautonomous counterparts of the classical one-dimensional autonomous bifurcation patterns are developed.
Differentiable dynamical systems. --- Differential equations, Linear. --- Bifurcation theory. --- Dynamique différentiable --- Equations différentielles linéaires --- Théorie de la bifurcation --- Electronic books. -- local. --- Differentiable dynamical systems --- Differential equations, Linear --- Bifurcation theory --- Mathematics --- Mathematical Theory --- Calculus --- Physical Sciences & Mathematics --- Linear differential equations --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Mathematics. --- Dynamics. --- Ergodic theory. --- Differential equations. --- Ordinary Differential Equations. --- Dynamical Systems and Ergodic Theory. --- 517.91 Differential equations --- Differential equations --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Math --- Science --- Differential equations, Nonlinear --- Stability --- Linear systems --- Global analysis (Mathematics) --- Topological dynamics --- Numerical solutions --- Differential Equations.
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Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control. The material presented is broad enough to give the reader a clear picture of the dynamical behavior of linear systems as well as their advantages and limitations. Fundamental results and topics essential to linear systems theory are emphasized. The emphasis is on time-invariant systems, both continuous- and discrete-time. Key features and topics: * Notes, references, exercises, and a summary and highlights section at the end of each chapter. * Comprehensive index and answers to selected exercises at the end of the book. * Necessary mathematical background material included in an appendix. * Helpful guidelines for the reader in the preface. * Three core chapters guiding the reader to an excellent understanding of the dynamical behavior of systems. * Detailed coverage of internal and external system descriptions, including state variable, impulse response and transfer function, polynomial matrix, and fractional representations. * Explanation of stability, controllability, observability, and realizations with an emphasis on fundamental results. * Detailed discussion of state-feedback, state-estimation, and eigenvalue assignment. * Emphasis on time-invariant systems, both continuous- and discrete-time. For full coverage of time-variant systems, the reader is encouraged to refer to the companion book Linear Systems, which contains more detailed descriptions and additional material, including all the proofs of the results presented here. * Solutions manual available to instructors upon adoption of the text. A Linear Systems Primer is geared towards first-year graduate and senior undergraduate students in a typical one-semester introductory course on systems and control. It may also serve as an excellent reference or self-study guide for electrical, mechanical, chemical, and aerospace engineers, applied mathematicians, and researchers working in control, communications, and signal processing. Also by the authors: Linear Systems, ISBN 978-0-8176-4434-5.
Linear systems --- Control theory --- Systèmes linéaires --- Théorie de la commande --- EPUB-LIV-FT SPRINGER-B LIVINGEN --- 512.64 --- 519.71 --- Systems, Linear --- Differential equations, Linear --- System theory --- 519.71 Control systems theory: mathematical aspects --- Control systems theory: mathematical aspects --- 512.64 Linear and multilinear algebra. Matrix theory --- Linear and multilinear algebra. Matrix theory
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This text presents and discusses some of the most influential papers in Matrix Computation authored by Gene H. Golub, one of the founding fathers of the field. Including commentaries by leading experts and a brief biography, this book will be of great interest to students and researchers in numerical analysis and scientific computation.
Matrices. --- Linear systems. --- Systems, Linear --- Differential equations, Linear --- System theory --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Golub, Gene H. --- Golub, Gene Howard, --- Golub, G. H. --- Numerical analysis --- Matrices --- Mathematical analysis --- Numerical analysis. --- Contributions in numerical analysis.
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This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the most relevant in business applications, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation.
Discrete-time systems --- Linear systems --- Mathematical models. --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- System analysis --- Linear time invariant systems --- Systems, Linear --- Differential equations, Linear --- System theory --- System theory. --- Mathematics. --- Distribution (Probability theory. --- Computer science. --- Systems Theory, Control. --- Applications of Mathematics. --- Probability Theory and Stochastic Processes. --- Computational Science and Engineering. --- Informatics --- Science --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Math --- Systems, Theory of --- Systems science --- Philosophy --- Systems theory. --- Discrete mathematics --- Applied mathematics. --- Engineering mathematics. --- Probabilities. --- Computer mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Engineering --- Engineering analysis --- Mathematical analysis
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Maximum principles are bedrock results in the theory of second order elliptic equations. This principle, simple enough in essence, lends itself to a quite remarkable number of subtle uses when combined appropriately with other notions. Intended for a wide audience, the book provides a clear and comprehensive explanation of the various maximum principles available in elliptic theory, from their beginning for linear equations to recent work on nonlinear and singular equations.
Differential equations, Elliptic. --- Differential equations, Partial. --- Elliptische Differentialgleichung. --- Maximum principles (Mathematics). --- Maximumprinzip. --- Potential theory (Mathematics). --- Differential equations, Elliptic --- Maximum principles (Mathematics) --- Operations Research --- Calculus --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Elliptic differential equations --- Elliptic partial differential equations --- Linear elliptic differential equations --- Mathematics. --- Partial differential equations. --- Applied mathematics. --- Engineering mathematics. --- Potential Theory. --- Partial Differential Equations. --- Applications of Mathematics. --- Differential equations, Partial --- Differential equations, Linear --- Numerical solutions --- Differential equations, partial. --- Partial differential equations --- Green's operators --- Green's theorem --- Potential functions (Mathematics) --- Potential, Theory of --- Mathematical analysis --- Mechanics --- Math --- Science --- Engineering --- Engineering analysis
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Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control. The material presented is broad enough to give the reader a clear picture of the dynamical behavior of linear systems as well as their advantages and limitations. Fundamental results and topics essential to linear systems theory are emphasized. The emphasis is on time-invariant systems, both continuous- and discrete-time. Key features and topics: * Notes, references, exercises, and a summary and highlights section at the end of each chapter. * Comprehensive index and answers to selected exercises at the end of the book. * Necessary mathematical background material included in an appendix. * Helpful guidelines for the reader in the preface. * Three core chapters guiding the reader to an excellent understanding of the dynamical behavior of systems. * Detailed coverage of internal and external system descriptions, including state variable, impulse response and transfer function, polynomial matrix, and fractional representations. * Explanation of stability, controllability, observability, and realizations with an emphasis on fundamental results. * Detailed discussion of state-feedback, state-estimation, and eigenvalue assignment. * Emphasis on time-invariant systems, both continuous- and discrete-time. For full coverage of time-variant systems, the reader is encouraged to refer to the companion book Linear Systems, which contains more detailed descriptions and additional material, including all the proofs of the results presented here. * Solutions manual available to instructors upon adoption of the text. A Linear Systems Primer is geared towards first-year graduate and senior undergraduate students in a typical one-semester introductory course on systems and control. It may also serve as an excellent reference or self-study guide for electrical, mechanical, chemical, and aerospace engineers, applied mathematicians, and researchers working in control, communications, and signal processing. Also by the authors: Linear Systems, ISBN 978-0-8176-4434-5.
Linear systems. --- Control theory. --- Dynamics --- Machine theory --- Systems, Linear --- Differential equations, Linear --- System theory --- System theory. --- Vibration. --- Engineering mathematics. --- Control and Systems Theory. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Signal, Image and Speech Processing. --- Vibration, Dynamical Systems, Control. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Cycles --- Mechanics --- Sound --- Systems, Theory of --- Systems science --- Science --- Mathematics --- Philosophy --- Systems theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Dynamical systems. --- Dynamics. --- Applied mathematics. --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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