Elements of Matrix Modeling and Computing with MATLAB

Regular price €122.99
A01=Robert E. White
AA Norm
Algebraic System
Author_Robert E. White
Category=PB
code
column
Column Vectors
command
cosine
Cosine Identity
Cramer’s Rule
D1 D2
D1 D2 D3
D11 D12 D13 D21 D22
D11 D12 D21 D22
DFT
dierential
Dierential Equations
Displacement Vector
Dot Product
eq_isMigrated=1
eq_isMigrated=2
equation
equations
Gauss Elimination
Homogeneous Solution
identity
Laplace Transform
MATLAB Code
MATLAB Command
Matrix Vector Product
Piecewise Linear
Piecewise Linear Transformation
Reduced Row Echelon Form
Row Echelon Form
Row Operations
Steady State Solution
vector
vectors

Product details

  • ISBN 9781584886273
  • Weight: 725g
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Sep 2006
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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As discrete models and computing have become more common, there is a need to study matrix computation and numerical linear algebra. Encompassing a diverse mathematical core, Elements of Matrix Modeling and Computing with MATLAB examines a variety of applications and their modeling processes, showing you how to develop matrix models and solve algebraic systems. Emphasizing practical skills, it creates a bridge from problems with two and three variables to more realistic problems that have additional variables. Elements of Matrix Modeling and Computing with MATLAB focuses on seven basic applications: circuits, trusses, mixing tanks, heat conduction, data modeling, motion of a mass, and image filters. These applications are developed from very simple to more complex models. To explain the processes, the book explores numerous topics in linear algebra, including complex numbers and functions, matrices, algebraic systems, curve fitting, elements of linear differential equations, transform methods, and tools of computation. For example, the author uses linearly independent vectors and subspaces to explain over- and under-determined systems, eigenvalues and eigenvectors to solve initial value problems, and discrete Fourier transforms to perform image filtering in the frequency domain. Although the primary focus is to cultivate calculation skills by hand, most chapters also include MATLAB to help with more complicated calculations.