Search Results for "basic-256"

math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net

MatImage is a Matlab library for image processing and analysis in 2D and 3D. It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT). Project is being transfered to GitHub: http://github.com/dlegland/matImage

xBook is a common framework for several archaeo-related database applications developed and published by Ludwig Maximilian University of Munich. All database applications that are based on the framework (called Books) provide the same basic technical features, but each application can be extended individually. Especially the Synchronisation and the User Rights Management are strong features that allow creating backups and sharing your data to collaborate with other users. The Synchronisation is the base for future cross-application similarity searches involving all available Books.

Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files

Fuzzy logic add-in for OpenOffice.org Calc. InrecoLAN FuzzyMath allows to perform ordinary arithmetic operations and use ordinary mathematical and financial functions with fuzzy numbers. Have any ideas how to improve this project - you are welcome!

Datamixer generates mock data values for various datatypes, including integer, floating precision, datetime, and string. It can generate complex sequences, based on functions and permutations of the basic data series.

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/

This framework provides basic components for acquiring, broadcasting, analyzing and storing the continuous geophysical data. Written on Objective-C and using GNUstep Foundation (Base) framework or Apple Foundation framework.