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This textbook offers a high-level introduction to multi-variable differential calculus. Differential forms are introduced incrementally in the narrative, eventually leading to a unified treatment of Green's, Stokes' and Gauss' theorems. Furthermore, the presentation offers a natural route to differential geometry. Contents:Calculus of Vector FunctionsTangent Spaces and 1-formsLine IntegralsDifferential Calculus of MappingsApplications of Differential CalculusDouble and Triple IntegralsWedge Products and Exterior DerivativesIntegration of FormsStokes' Theorem and Applications
Differential calculus. --- Mathematical analysis. --- Stokes' theorem. --- Integrals --- Vector valued functions --- 517.1 Mathematical analysis --- Mathematical analysis --- Calculus, Differential --- Calculus
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Vector-valued optimization problems in control theory
Control theory --- Automatic control --- Mathematical optimization --- Vector valued functions --- Théorie de la commande --- Commande automatique --- Optimisation mathématique --- Control theory. --- Automatic control. --- Mathematical optimization. --- Vector valued functions. --- Control systems --- Optimisation --- Applications of vector-valued functions --- Applications of vector-valued functions. --- Théorie de la commande --- Optimisation mathématique --- ELSEVIER-B EPUB-LIV-FT --- Functions, Vector --- Functions, Vector valued --- Functional analysis --- Functions of real variables --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Dynamics --- Machine theory
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The three volumes of A Course in Mathematical Analysis provide a full and detailed account of all those elements of real and complex analysis that an undergraduate mathematics student can expect to encounter in their first two or three years of study. Containing hundreds of exercises, examples and applications, these books will become an invaluable resource for both students and teachers. Volume 1 focuses on the analysis of real-valued functions of a real variable. This second volume goes on to consider metric and topological spaces. Topics such as completeness, compactness and connectedness are developed, with emphasis on their applications to analysis. This leads to the theory of functions of several variables. Differential manifolds in Euclidean space are introduced in a final chapter, which includes an account of Lagrange multipliers and a detailed proof of the divergence theorem. Volume 3 covers complex analysis and the theory of measure and integration.
Metric spaces. --- Topological spaces. --- Vector valued functions. --- Functions, Vector --- Functions, Vector valued --- Functional analysis --- Functions of real variables --- Spaces, Topological --- Spaces, Metric --- Generalized spaces --- Set theory --- Topology
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The subject of complex vector functional equations is a new area in the theory of functional equations. This monograph provides a systematic overview of the authors' recently obtained results concerning both linear and nonlinear complex vector functional equations, in all aspects of their utilization. It is intended for mathematicians, physicists and engineers who use functional equations in their investigations. Contents: Linear Complex Vector Functional Equations: General Classes of Cyclic Functional Equations; Functional Equations with Operations Between Arguments; Functional Equations with
Functional equations. --- Vector fields. --- Vector valued functions. --- Functions, Vector --- Functions, Vector valued --- Functional analysis --- Functions of real variables --- Direction fields (Mathematics) --- Fields, Direction (Mathematics) --- Fields, Slope (Mathematics) --- Fields, Vector --- Slope fields (Mathematics) --- Vector analysis --- Equations, Functional
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Measure theory. Mathematical integration --- Mesure, Théorie de la --- Calcul intégral --- Fonctions vectorielles. --- Vector valued functions --- Calculus, Integral --- Measure theory --- Integrals, Bochner. --- Integrals, Bochner --- Bochner integrals --- Banach spaces --- Convergence --- Integrals, Generalized --- 517.518.1 --- 517.518.1 Measure. Integration. Differentiation --- Measure. Integration. Differentiation
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Approximation of vector valued functions
Functional analysis --- Function spaces --- Vector valued functions --- Approximation polynomiale --- Espaces fonctionnels --- Fonctions vectorielles --- Approximation theory --- 517.518.8 --- 519.6 --- 681.3*G12 --- 681.3*G12 Approximation: chebyshev; elementary function; least squares; linear approximation; minimax approximation and algorithms; nonlinear and rational approximation; spline and piecewise polynomial approximation (Numerical analysis) --- Approximation: chebyshev; elementary function; least squares; linear approximation; minimax approximation and algorithms; nonlinear and rational approximation; spline and piecewise polynomial approximation (Numerical analysis) --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Computational mathematics. Numerical analysis. Computer programming --- 517.518.8 Approximation of functions by polynomials and their generalizations --- Approximation of functions by polynomials and their generalizations --- Functions, Vector --- Functions, Vector valued --- Functions of real variables --- Theory of approximation --- Functions --- Polynomials --- Chebyshev systems --- Vector valued functions. --- Approximation theory.
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This book contains nine well-organized survey articles by leading researchers in positivity, with a strong emphasis on functional analysis. It provides insight into the structure of classical spaces of continuous functions, f-algebras, and integral operators, but also contains contributions to modern topics like vector measures, operator spaces, ordered tensor products, non-commutative Banach function spaces, and frames. Contributors: B. Banerjee, D.P. Blecher, K. Boulabiar, Q. Bu, G. Buskes, G.P. Curbera, M. Henriksen, A.G. Kusraev, J. Mart??-nez, B. de Pagter, W.J. Ricker, A.R. Schep, A. Tri
Ordered algebraic structures. --- Vector valued functions. --- Functional analysis. --- Positive operators. --- Functional calculus --- Calculus of variations --- Functional equations --- Integral equations --- Algebraic structures, Ordered --- Structures, Ordered algebraic --- Algebra --- Operators, Positive --- Linear operators --- Functions, Vector --- Functions, Vector valued --- Functional analysis --- Functions of real variables --- Global analysis (Mathematics). --- Algebra. --- Operator theory. --- Cell aggregation --- Economics. --- Analysis. --- Order, Lattices, Ordered Algebraic Structures. --- Functional Analysis. --- Operator Theory. --- Manifolds and Cell Complexes (incl. Diff.Topology). --- Economics, general. --- Mathematics. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Aggregation, Cell --- Cell patterning --- Cell interaction --- Microbial aggregation --- Mathematics --- Mathematical analysis --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Mathematical analysis. --- Analysis (Mathematics). --- Manifolds (Mathematics). --- Complex manifolds. --- Management science. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Analytic spaces --- Manifolds (Mathematics) --- Geometry, Differential --- Topology --- 517.1 Mathematical analysis
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A recent significant innovation in mathematical sciences has been the progressive use of nonsmooth calculus, an extension of the differential calculus, as a key tool of modern analysis in many areas of mathematics, operations research, and engineering. Focusing on the study of nonsmooth vector functions, this book presents a comprehensive account of the calculus of generalized Jacobian matrices and their applications to continuous nonsmooth optimization problems and variational inequalities in finite dimensions. The treatment is motivated by a desire to expose an elementary approach to nonsmooth calculus by using a set of matrices to replace the nonexistent Jacobian matrix of a continuous vector function. Such a set of matrices forms a new generalized Jacobian, called pseudo-Jacobian. A direct extension of the classical derivative that follows simple rules of calculus, the pseudo-Jacobian provides an axiomatic approach to nonsmooth calculus, a flexible tool for handling nonsmooth continuous optimization problems. Illustrated by numerous examples of known generalized derivatives, the work may serve as a valuable reference for graduate students, researchers, and applied mathematicians who wish to use nonsmooth techniques and continuous optimization to model and solve problems in mathematical programming, operations research, and engineering. Readers require only a modest background in undergraduate mathematical analysis to follow the material with minimal effort.
Nonsmooth optimization. --- Vector valued functions. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Functions, Vector --- Functions, Vector valued --- Functional analysis --- Functions of real variables --- Nonsmooth analysis --- Optimization, Nonsmooth --- Mathematical optimization --- Global analysis (Mathematics). --- Operations research. --- Engineering mathematics. --- Calculus of Variations and Optimal Control; Optimization. --- Analysis. --- Optimization. --- Operations Research, Management Science. --- Operations Research/Decision Theory. --- Mathematical and Computational Engineering. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Engineering --- Engineering analysis --- Mathematics --- Calculus of variations. --- Mathematical analysis. --- Analysis (Mathematics). --- Management science. --- Decision making. --- Applied mathematics. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Isoperimetrical problems --- Variations, Calculus of --- Quantitative business analysis --- Statistical decision --- 517.1 Mathematical analysis --- Decision making
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V-INVEX FUNCTIONS AND VECTOR OPTIMIZATION summarizes and synthesizes an aspect of research work that has been done in the area of Generalized Convexity over the past several decades. Specifically, the book focuses on V-invex functions in vector optimization that have grown out of the work of Jeyakumar and Mond in the 1990’s. V-invex functions are areas in which there has been much interest because it allows researchers and practitioners to address and provide better solutions to problems that are nonlinear, multi-objective, fractional, and continuous in nature. Hence, V-invex functions have permitted work on a whole new class of vector optimization applications. There has been considerable work on vector optimization by some highly distinguished researchers including Kuhn, Tucker, Geoffrion, Mangasarian, Von Neuman, Schaiible, Ziemba, etc. The authors have integrated this related research into their book and demonstrate the wide context from which the area has grown and continues to grow. The result is a well-synthesized, accessible, and usable treatment for students, researchers, and practitioners in the areas of OR, optimization, applied mathematics, engineering, and their work relating to a wide range of problems which include financial institutions, logistics, transportation, traffic management, etc.
Convex functions. --- Vector valued functions. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Functions, Vector --- Functions, Vector valued --- Functional analysis --- Functions of real variables --- Functions, Convex --- Mathematics. --- Operations research. --- Management. --- Optimization. --- Applications of Mathematics. --- Calculus of Variations and Optimal Control; Optimization. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Innovation/Technology Management. --- Administration --- Industrial relations --- Organization --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Math --- Science --- Applied mathematics. --- Engineering mathematics. --- Calculus of variations. --- Decision making. --- Management science. --- Industrial management. --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Quantitative business analysis --- Problem solving --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Isoperimetrical problems --- Variations, Calculus of --- Engineering --- Engineering analysis --- Decision making --- Mathematics
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