Rank: 963 based on 141 downloads (last 30 days) and 6 files submitted
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Jason Nicholson

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Danfoss Power Solutions (US) Company
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42.032864, -93.574196

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I am a Mechanical Engineer.


 

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Files Posted by Jason Nicholson View all
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25 Nov 2014 Screenshot Smooth Robust Differentiators numerical differentiation with noise suppression Author: Jason Nicholson differentiation, derivatives 53 1
10 Nov 2014 Screenshot Bessel Zero Solver Finds the zeros of besselj and bessely in an ordered fashion. No zeros are missed. Author: Jason Nicholson bessel, bessely, besselj 15 0
09 Oct 2014 size() Vs. length() vs. Storing Length Value Before Entering for Loop Compares use of size(), length(), and stored length of array when used in a for loop Author: Jason Nicholson for, size, length, speed 9 0
20 Jun 2014 Screenshot Partition Domain Divide a n-dimensional domain into partitions/cells and average points in each cell Author: Jason Nicholson griddatan, scattered data interp... 4 0
16 Jun 2014 Screenshot Savitzky-Golay Smoothing Filter Very simple function for Savitzky-Golay Smoothing Author: Jason Nicholson savitzkygolay, walter gander, teukolsky, savgol, filtering, smoothing 20 0
Comments and Ratings by Jason Nicholson View all
Updated File Comments Rating
14 Dec 2014 Augmented Lagrangian Augmented Lagrangian methods are a certain class of algorithms for solving constrained optimization. Author: Mayowa Aregbesola

Your documentation is non existent of both ALH and newton_constrained. This makes this package of functions very unfriendly to use. Please consider an update with proper documentation. MATLAB has suggestions on this here: http://goo.gl/VwuXD0

23 Nov 2014 Optimization Tips and Tricks Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. Author: John D'Errico

Thanks for the examples. I have a suggestion on orthogonal polynomial fitting. Forsythe suggests a way to solve for both the correct orthogonal polynomials to use and the coefficients. The advantage is the full normal equation never has to be solved. Both the orthogonal polynomials and there coefficients are solved. It seems like an excellent method of data fitting.

Forsythe, George E. "Generation and use of orthogonal polynomials for data-fitting with a digital computer." Journal of the Society for Industrial & Applied Mathematics 5.2 (1957): 74-88.

22 Nov 2014 Gauss hypergeometric function Numerically compute real valued Gauss hypergeometric function, using Scipy c-source files Author: Siyi Deng

Well done. Thank you for the code. I am using it to build Associated Legendre Functions of fractional order. It is very quick. This is very help to my regression work. It opens the door for me to use Associated Legendre functions of fractional order as basis. This is extremely powerful.

24 Sep 2014 GetJFrame - Retrieves a figure's underlying Java frame Enable multiple window callbacks and properties not exposed by Matlab Author: Yair Altman

Great work. Thank you for keeping this up to date.

This is very useful. I am using it to control minimizing and maximizing the figure windows. I know the potential is much greater.

08 Mar 2014 Flappy Bird for MATLAB MATLAB replica of the viral mobile game "Flappy Bird" Author: Mingjing Zhang

It is hard to believe you took the time to make this. Funny! :)

Comments and Ratings on Jason Nicholson's Files View all
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04 Mar 2014 Smooth Robust Differentiators numerical differentiation with noise suppression Author: Jason Nicholson Jason Nicholson

Help would be appreciated for some one well versed in numerical analysis. Right now the coefficients used in the formula (see documentation) get large quickly. Proper care needs to be taken to minimize the effect of round off error. Best practices or rearranging of the equations would be beneficial. I have even thought of hard coding the coefficients of N<=101 into robustDiff after calculating them with variable precision arithmetic. However, I am not sure what this would be beneficial. I could use advice on what to do here.

29 Jan 2014 Matlab Style Guidelines Cheat Sheet One page summary of the "MATLAB Programming Style Guidelines" Author: Jason Nicholson Jason Nicholson

Your ideas about "i" and "j" have been addressed in the 29-Jan-2014 version.

17 Jan 2014 Matlab Style Guidelines Cheat Sheet One page summary of the "MATLAB Programming Style Guidelines" Author: Jason Nicholson Gregory Vernon

@Volker -- I agree. I use ii, jj, kk as my short scope variables instead.

16 Jan 2014 Matlab Style Guidelines Cheat Sheet One page summary of the "MATLAB Programming Style Guidelines" Author: Jason Nicholson Volker

Just don't use "i" or "j" for short scope variables - they are predefined as the imaginary unit sqrt(-1) in matlab.

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