Diecrete Orthogonal Polynomials: Dopbox Version V1.8
March 2014
Introduction

This a toolbox for Diecrete Orthogonal Polynomials called the DOPbox.
Discrete orthogonal polynomials have many applications, such as: in discrete
approximations; in the solution of ordinaty differential equations, in
particular boundary value problems and initial value problems. For the
generation of admissible functions etc.
Organization

You will need to install all directories on you computer and set the matlab
path to include the directories and their subdirectories.
The library is organized in three main directories:
1) DOPbox: This directory contains the files central to the library.
2) SupportFns: These are supporting fnctions which make the generation of
documentation simpler. They are used extensively in the examples and
documentation provied.
3) Documentation: this directory contains matlab and pdf files which
document the use of the library functions.
Documentation

We recommend you start by looking at the GettingStarted.pdf documentation.
This contains an example of the use of each and every function in the
library.
None of the theory behind the library is explained in the documentation, the
reader is referred to the following publications, should they wish to study
the theoritical material:
This paper provied an introduction to the Gram polynomials
@inproceedings{
oleary2008b,
Author = {O'Leary, P. and Harker, M.},
Title = {An Algebraic Framework for Discrete Basis Functions in Computer
Vision},
BookTitle = {2008 $6^{\textrm{th}}$ ICVGIP},
Address= {Bhubaneswar, India},
Publisher = {IEEE},
Pages = {150157},
Year = {2008} }
DOI: 10.1109/ICVGIP.2008.107
This paper introduced the concept of local and global polynomial
approximations
@inproceedings{oleary2010C,
Author = {O'Leary, P. and Harker, M.},
Title = {Discrete Polynomial Moments and SavitzkyGolay Smoothing},
BookTitle = {Waset Special Journal},
Volume = {72},
DOI = {},
Pages = {439443},
Year = {2010}}
The PDF is available at
www.waset.org/journals/waset/v48/v4885.pdf
This paper provies extenside theory and deviations for the application of
discrete
orthogonal polynomials to the solution of inverse boundary value problems.
The work is done the the bounds of an application in the monitoring of
structures.
We highly recommend reading this paper if more advanced applications of the
ideas are to be made.
@article{Oleary2012,
author = {Paul O'Leary and Matthew Harker},
title = {A Framework for the Evaluation of Inclinometer Data in the
Measurement of Structures},
journal = {IEEE T. Instrumentation and Measurement},
volume = {61},
number = {5},
year = {2012},
pages = {12371251},
ee = {http://dx.doi.org/10.1109/TIM.2011.2180969}
http://dx.doi.org/10.1109/TIM.2011.2180969
Matthew harker and Paul O'Leary Marczh 2014
Changes

Version V1.8
1) A code error in the function dopVal.m has been corrected
Version V1.7
1) A code error in dopDiffLocal was corrected. The function now works correctly with sparse matrices.
Version V1.6
1) A demonstration for constrained polynomials where the constraints are not at a node has been added.
2) A demonstration of a constraint located outside the range of the support has been added.
3) An example of using constrained basis functions as admissible functions
in a discrete RaylighRitz solution to a SturmLiouville equation has been
added. This is an example where the constraints are located outside the range of the support.
4) The dopDiffLocal function has been modified to return a full differentiating matrix when the support length is equal to the number of points.
5) The rank of the differentiating matrix is tested and a warning is issued if the matrix is more than rank1 deficient.
