Front cover image for The Princeton companion to applied mathematics

The Princeton companion to applied mathematics

Nicholas J. Higham (Editor), Mark R. Dennis (Editor)
This is the most authoritative and accessible single-volume reference book on applied mathematics. Featuring numerous entries by leading experts and organized thematically, it introduces readers to applied mathematics and its uses; explains key concepts; describes important questions, laws, and functions; looks at exciting areas of research; covers modeling and simulation; explores areas of application; and more. Modeled on the popular Princeton Companion to Mathematics, this volume is an indispensable resource for undergraduate and graduate students, researchers, and practitioners in other disciplines seeking a user-friendly reference book on applied mathematics. -- Front jacket flap
eBook, English, 2015
Princeton University Press, Princeton, 2015
1 online resource (xvii, 994 pages, 16 unnumbered pages of plates) : illustrations (some color)
9781400874477, 1400874475
961349924
Cover; Title; Copyright; Contents; Preface; Contributors; Part I Introduction to Applied Mathematics; I.1 What Is Applied Mathematics?; I.2 The Language of Applied Mathematics; I.3 Methods of Solution; I.4 Algorithms; I.5 Goals of Applied Mathematical Research; I.6 The History of Applied Mathematics; Part II Concepts; II. 1 Asymptotics; II. 2 Boundary Layer; II. 3 Chaos and Ergodicity; II. 4 Complex Systems; II. 5 Conformal Mapping; II. 6 Conservation Laws; II. 7 Control; II. 8 Convexity; II. 9 Dimensional Analysis and Scaling; II. 10 The Fast Fourier Transform; II. 11 Finite Differences. II. 12 The Finite-Element MethodII. 13 Floating-Point Arithmetic; II. 14 Functions of Matrices; II. 15 Function Spaces; II. 16 Graph Theory; II. 17 Homogenization; II. 18 Hybrid Systems; II. 19 Integral Transforms and Convolution; II. 20 Interval Analysis; II. 21 Invariants and Conservation Laws; II. 22 The Jordan Canonical Form; II. 23 Krylov Subspaces; II. 24 The Level Set Method; II. 25 Markov Chains; II. 26 Model Reduction; II. 27 Multiscale Modeling; II. 28 Nonlinear Equations and Newton's Method; II. 29 Orthogonal Polynomials; II. 30 Shocks; II. 31 Singularities; II. 32 The Singular Value Decomposition. II. 33 Tensors and ManifoldsII. 34 Uncertainty Quantification; II. 35 Variational Principle; II. 36 Wave Phenomena; Part III Equations, Laws, and Functions of Applied Mathematics; III. 1 Benford's Law; III. 2 Bessel Functions; III. 3 The Black-Scholes Equation; III. 4 The Burgers Equation; III. 5 The Cahn-Hilliard Equation; III. 6 The Cauchy-Riemann Equations; III. 7 The Delta Function and Generalized Functions; III. 8 The Diffusion Equation; III. 9 The Dirac Equation; III. 10 Einstein's Field Equations; III. 11 The Euler Equations; III. 12 The Euler-Lagrange Equations; III. 13 The Gamma Function. III. 14 The Ginzburg-Landau EquationIII. 15 Hooke's Law; III. 16 The Korteweg-de Vries Equation; III. 17 The Lambert W Function; III. 18 Laplace's Equation; III. 19 The Logistic Equation; III. 20 The Lorenz Equations; III. 21 Mathieu Functions; III. 22 Maxwell's Equations; III. 23 The Navier-Stokes Equations; III. 24 The Painlevé Equations; III. 25 The Riccati Equation; III. 26 Schrödinger's Equation; III. 27 The Shallow-Water Equations; III. 28 The Sylvester and Lyapunov Equations; III. 29 The Thin-Film Equation; III. 30 The Tricomi Equation; III. 31 The Wave Equation; Part IV Areas of Applied Mathematics. IV. 1 Complex AnalysisIV. 2 Ordinary Differential Equations; IV. 3 Partial Differential Equations; IV. 4 Integral Equations; IV. 5 Perturbation Theory and Asymptotics; IV. 6 Calculus of Variations; IV. 7 Special Functions; IV. 8 Spectral Theory; IV. 9 Approximation Theory; IV. 10 Numerical Linear Algebra and Matrix Analysis; IV. 11 Continuous Optimization (Nonlinear and Linear Programming); IV. 12 Numerical Solution of Ordinary Differential Equations; IV. 13 Numerical Solution of Partial Differential Equations; IV. 14 Applications of Stochastic Analysis; IV. 15 Inverse Problems; IV. 16 Computational Science
In English