Chapter
Part III Equations, Laws, and Functions of Applied Mathematics
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.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 Equation
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.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
Part IV Areas of Applied Mathematics
IV.2 Ordinary Differential Equations
IV.3 Partial Differential Equations
IV.5 Perturbation Theory and Asymptotics
IV.6 Calculus of Variations
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.16 Computational Science
IV.17 Data Mining and Analysis
IV.19 Classical Mechanics
IV.22 Symmetry in Applied Mathematics
IV.24 Random-Matrix Theory
IV.26 Continuum Mechanics
IV.29 Magnetohydrodynamics
IV.30 Earth System Dynamics
IV.31 Effective Medium Theories
IV.32 Mechanics of Solids
IV.37 Applied Combinatorics and Graph Theory
IV.38 Combinatorial Optimization
IV.40 General Relativity and Cosmology
V.1 The Mathematics of Adaptation (Or the Ten Avatars of Vishnu)
V.4 Mathematical Biomechanics
V.5 Mathematical Physiology
V.8 Divergent Series: Taming the Tails
V.9 Financial Mathematics
V.11 Bayesian Inference in Applied Mathematics
V.12 A Symmetric Framework with Many Applications
V.15 Numerical Relativity
V.16 The Spread of Infectious Diseases
V.17 The Mathematics of Sea Ice
V.18 Numerical Weather Prediction
VI.6 The Flight of a Golf Ball
VI.7 Automatic Differentiation
VI.8 Knotting and Linking of Macromolecules
VI.11 Evaluating Elementary Functions
VI.12 Random Number Generation
VI.13 Optimal Sensor Location in the Control of Energy-Efficient Buildings
VI.15 Slipping, Sliding, Rattling, and Impact: Nonsmooth Dynamics and Its Applications
VI.16 From the N-Body Problem to Astronomy and Dark Matter
VI.17 The N-Body Problem and the Fast Multipole Method
VI.18 The Traveling Salesman Problem
Part VII Application Areas
VII.2 A Hybrid Symbolic–Numeric Approach to Geometry Processing and Modeling
VII.3 Computer-Aided Proofs via Interval Analysis
VII.4 Applications of Max-Plus Algebra
VII.5 Evolving Social Networks, Attitudes, and Beliefs—and Counterterrorism
VII.7 Color Spaces and Digital Imaging
VII.8 Mathematical Image Processing
VII.10 Compressed Sensing
VII.11 Programming Languages: An Applied Mathematics View
VII.12 High-Performance Computing
VII.14 Electronic Structure Calculations (Solid State Physics)
VII.16 Imaging the Earth Using Green’s Theorem
VII.18 Modeling a Pregnancy Testing Kit
VII.19 Airport Baggage Screening with X-Ray Tomography
VII.20 Mathematical Economics
VII.21 Mathematical Neuroscience
VII.23 Communication Networks
Part VIII Final Perspectives
VIII.1 Mathematical Writing
VIII.2 How to Read and Understand a Paper
VIII.3 How to Write a General Interest Mathematics Book
VIII.5 Reproducible Research in the Mathematical Sciences
VIII.6 Experimental Applied Mathematics
VIII.7 Teaching Applied Mathematics
VIII.8 Mediated Mathematics: Representations of Mathematics in Popular Culture and Why These Matter
VIII.9 Mathematics and Policy