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Build Securely on AWS with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
sparse and dense matrix, linear algebra, visualization, big data
The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too.
Small program for fitting a Bezier curve to a sequence of points
This program uses a least-squares approach, similar to linear regression, for fitting a Bezier curve to a sequence of Cartesian coordinate points. This project requires the UJMP package which is freely available online here https://sourceforge.net/projects/ujmp/.
For an explanation of the math behind this code please check out my blog post: http://jimherold.com/2012/04/20/least-squares-bezier-fit/