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25 Remote Warehouse Mathematics- Applied

Fast Compact Algorithms and Software for Spline Smoothing (Springerbriefs in Computer Science)

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Fast Compact Algorithms and Software for Spline Smoothing (Springerbriefs in Computer Science) Cover

 

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Publisher Comments:

Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.

Table of Contents

Introduction.- Cholesky Algorithm.- QR Algorithm.- FFT Algorithm.- Discrete Spline Smoothing.

Product Details

ISBN:
9781461454953
Author:
Weinert, Howard L.
Publisher:
Springer
Subject:
Mathematics-Applied
Subject:
Cross-validation
Subject:
Graduation
Subject:
Interpolation
Subject:
Smoothing
Subject:
Spline
Subject:
Statistics and Computing/Statistics Programs
Subject:
Signal, Image and Speech Processing
Subject:
Computational science and engineering
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Mathematical Software
Copyright:
Edition Description:
2012
Series:
SpringerBriefs in Computer Science
Publication Date:
20121030
Binding:
TRADE PAPER
Language:
English
Pages:
53
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » Software

Fast Compact Algorithms and Software for Spline Smoothing (Springerbriefs in Computer Science) New Trade Paper
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