Numerical Linear Approximation in C

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A01=Nabih Abdelmalek
A01=William A. Malek
advanced linear systems applications
Author_Nabih Abdelmalek
Author_William A. Malek
Basic Feasible Solution
Basis Matrix
Category=UB
Category=UMB
Category=UMX
Category=UY
Chebyshev Approximation
Chebyshev Norm
data compression algorithms
Digitized Curve
discrete data modeling
Dual Simplex Algorithm
engineering mathematics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
equation
formulation
Initial Basic Feasible Solution
Initial Basic Solution
L1 Approximation
L1 Error Norm
L1 Solution
Linear Programming
Linear Programming Formulation
Linear Programming Problem
Linear Programming Techniques
matrix computation
norm
numerical analysis
Overdetermined Systems
Piecewise Linear Approximation
Plane Curves
problem
programming
QR Factorization
residual
Residual Vector
scientific computing
simplex
Simplex Algorithm
Simplex Tableau
solution
Solution Vector
System Ca
tableau
Underdetermined Systems
vector

Product details

  • ISBN 9780367387310
  • Weight: 1342g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada.

Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The final section presents the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector.

Except in the preliminary section, all chapters include the C functions of the algorithms, along with drivers that contain numerous test case examples and results. The accompanying CD-ROM also provides the algorithms written in C code as well as the test drivers. To use the software, it is not required to understand the theory behind each function.

Abdelmalek, Nabih; Malek, William A.

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