This demo shows how you can create a COM component from a MATLAB code using MATLAB COM Builder. This demo compiles a function that uses the basic curve fitting capability of MATLAB into a COM component and uses it in an external Visual Basic project.
Download the file and unzip it in on your local drive. The word document contained in the archive shows how to build and use the component.
This demo shows how you can create a COM component from a MATLAB code using MATLAB COM Builder and use the same in an external project independent of MATLAB. This demo compiles a function that uses MATLAB Interpolation capability into a COM...
Read and Write Values from and to the Registry using Matlab.
Contains: source code and documentation.
September 13, 2006
Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file moneydemo.zip contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper...
"Dynamical Systems with Applications using MATLAB" covers standard material for an introduction to dynamical systems theory. The text deals with both discrete and continuous systems.
There are applications in mechanical...
Update 2011: An example application is included which shows a 2D plot using Matlab formulas. Requires MFC. Visual Studio 2008 is recommended, but the project should work in other versions.
Another update is more correct support for...
Programs from the third edition of 'Advanced Mathematics and Mechanics Applications Using MATLAB', by Howard Wilson, Louis Turcotte and David Halpern, CRC Press, 2003, ISBN 1-58488-262-X. Contains about 12,000 lines of MATLAB programs and...
This demo shows a simple program on the video surveilance using MATLAB and some toolboxes.
Features: 1. Run in 2 modes --> Monitoring and Playback 2. Users are allowed to change the threshold value and the snap counter for...
Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"
The zip file contains the data and files used to develop an application to track a market index using Genetic...
A Zip file containing the examples that were used in the MathWorks webinar: "Pricing Derivatives Securities using MATLAB".
Highlights: * Pricing a portfolio of vanilla options using Black-Scholes, a Binomial Tree and...
A GENERALAZED CONVOLUTION COMPUTING CODE IN MATLAB WITHOUT USING MATLAB BUILTIN FUNCTION conv(x,h)
The zip file contains 1. A 128x256 Regular (3,6) H matrix (if you need to simulate other codes, need to write your own code for generating those parity check matrices). The file '128x256regular_v6.mat' is for those using Matlab 6.5. 2....
The code given shows how Weka algorithms can be run in parallel across distributed computers using Matlab to take advantage of available hardware and quicken algorithm completion time on multiple data sets or parameter sets.
Parallel...
File encryption/decryption using stream cipher. It can encrypt/decrypt any type of file.
Most of the kdtree code for matlab has been implemented via mex files. I decided to come up with a purely matlab based implementation and so here it is .... The code is obviously expected to be slower than some of the c/c++ implementations that...
Anyone who is interested in puzzle solving using Matlab might appreciate this simple code. It stems from a need to solve a grid puzzle posed by a fellow geocacher here in Australia. (Look to GC2YWE1 Minimax on the geocaching website for further...
Digital Signal Processing: Principles and Applications examples and exercises using MATLAB Companion S
This is a web application to calculate and plot Black-Scholes option value using MATLAB algorithms. These algorithms are built into Java .jar files using MATLAB Builder for Java. The code shows how to call these algorithms from the Java web...
Demo files from the 30 August 2007 Webinar - Reliability Analysis and Robust Design using MATLAB(R) Products"
Webinar direct link: http://www.mathworks.com/wbnr14894
You will need MATLAB and Statistics Toolbox,...
These tutorials, created using Matlab's publishing tools, cover the following topics in depth: getting started, the matrix, functions, flow of control, debugging & profiling, strings, cells, structs, plotting, the symbolic toolkit, calling... |