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Introduction to Applied Mathematics

Introduction to Applied Mathematics

  • Date Published: January 1986
  • availability: Available
  • format: Hardback
  • isbn: 9780961408800


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About the Authors
  • Renowned applied mathematician Gilbert Strang teaches applied mathematics with the clear explanations, examples and insights of an experienced teacher. This book progresses steadily through a range of topics from symmetric linear systems to differential equations to least squares and Kalman filtering and optimization. It clearly demonstrates the power of matrix algebra in engineering problem solving. This is an ideal book (beloved by many readers) for a first course on applied mathematics and a reference for more advanced applied mathematicians. The only prerequisite is a basic course in linear algebra.

    • Published in 1986, this text remains up-to-date and a classic
    • Aids understanding through illuminating practical examples
    • The text is supplemented by exercises and solutions, assisting the reader's grasp of the material
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    Product details

    • Date Published: January 1986
    • format: Hardback
    • isbn: 9780961408800
    • length: 760 pages
    • dimensions: 243 x 169 x 40 mm
    • weight: 1.23kg
    • availability: Available
  • Table of Contents

    1. Symmetric Linear Systems:
    1.1 Introduction
    1.2 Gaussian elimination
    1.3 Positive definite matrices
    1.4 Minimum principles
    1.5 Eigenvalues and dynamical systems
    1.6 A review of matrix theory
    2. Equilibrium Equations:
    2.1 A framework for the applications
    2.2 Constraints and Lagrange multipliers
    2.3 Electrical networks
    2.4 Structures in equilibrium
    2.5 Least squares estimation and the Kalman filter
    3. Equilibrium in the Continuous Case:
    3.1 One-dimensional problems
    3.2 Differential equations of equilibrium
    3.3 Laplace's equation and potential flow
    3.4 Vector calculus in three dimensions
    3.5 Equilibrium of fluids and solids
    3.6 Calculus of variations
    4. Analytical Methods:
    4.1 Fourier series and orthogonal expansions
    4.2 Discrete Fourier series and convolution
    4.3 Fourier integrals
    4.4 Complex variables and conformal mapping
    4.5 Complex integration
    5. Numerical Methods:
    5.1 Linear and nonlinear equations
    5.2 Orthogonalization and eigenvalue problems
    5.3 Semi-direct and iterative methods
    5.4 The finite element method
    5.5 The fast Fourier transform
    6. Initial-Value Problems:
    6.1 Ordinary differential equations
    6.2 Stability and the phase plane and chaos
    6.3 The Laplace transform and the z-transform
    6.4 The heat equation vs. the wave equation
    6.5 Difference methods for initial-value problems
    6.6 Nonlinear conservation laws
    7. Network Flows and Combinatorics:
    7.1 Spanning trees and shortest paths
    7.2 The marriage problem
    7.3 Matching algorithms
    7.4 Maximal flow in a network
    8. Optimization:
    8.1 Introduction to linear programming
    8.2 The simplex method and Karmarkar's method
    8.3 Duality in linear programming
    8.4 Saddle points (minimax) and game theory
    8.5 Nonlinear optimization
    Software for scientific computing
    References and acknowledgements
    Solutions to selected exercises

  • Author

    Gilbert Strang, Massachusetts Institute of Technology
    Gilbert Strang received his Ph.D. from UCLA and since then he has taught at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is a Fellow of the American Academy of Arts and Sciences. He is a Professor of Mathematics at MIT and an Honorary Fellow of Balliol College. Professor Strang has published eight textbooks. He received the von Neumann Medal of the US Association for Computational Mechanics, and the Henrici Prize for applied analysis. The first Su Buchin Prize from the International Congress of Industrial and Applied Mathematics, and the Haimo Prize from the Mathematical Association of America, were awarded for his contributions to teaching around the world.

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