This paper presents GPLAB, a genetic programming toolbox for MATLAB. Besides most of the features traditionally used in genetic programming, it also implements two techniques aimed at controlling the well known bloat problem, as well as a modified version of a previously published method for automatically adapting the genetic operator probabilities in runtime, which makes it possible to use the...

This paper introduces Accelerator Toolbox (AT) a collection of tools to model storage rings and beam transport lines in the MATLAB environment. The objective is to illustrate the flexibility and efficiency of the AT–MATLAB framework. The paper discusses three examples of problems that are analyzed frequently in connection with ring-based synchrotron light sources. 1 BACKGROUND AT is being devel...

SUMMARY Structural kinetic modeling (SKM) enables the analysis of dynamical properties of metabolic networks solely based on topological information and experimental data. Current SKM-based experiments are hampered by the time-intensive process of assigning model parameters and choosing appropriate sampling intervals for Monte-Carlo experiments. We introduce a toolbox for the automatic and effi...

We present MIRToolbox, an integrated set of functions written in Matlab, dedicated to the extraction from audio files of musical features related, among others, to timbre, tonality, rhythm or form. The objective is to offer a state of the art of computational approaches in the area of Music Information Retrieval (MIR). The design is based on a modular framework: the different algorithms are dec...

A broad definition of clustering can be given as the search for homogeneous groupings of objects based on some type of available data. There are two common such tasks now discussed in (almost) all multivariate analysis texts and implemented in the commercially available behavioral and social science statistical software suites: hierarchical clustering and the K-means partitioning of some set of...

Audiovisual speech processing has reached a stage of maturity where there are now numerous computational procedures needed to measure and assess multimodal signals. However, as is often the case, the results of these procedures are better known than the procedures themselves. This paper presents a MATLAB toolbox consisting of an extensive collection of tools we have developed over the past 10 y...

The toolbox builds on Matlab and performs linear and quadratic statistical classification. It implements methods published in the recently appeared monograph [5]. Several of the reported methods are not widely known, provide solution to a more general tasks than before, and give a new systematic insight to the classical pattern recognition tasks. The toolbox is intended to demonstrate and help ...

Directional data is ubiquitious in science. Due to its circular nature such data cannot be analyzed with commonly used statistical techniques. Despite the rapid development of specialized methods for directional statistics over the last fifty years, there is only little software available that makes such methods easy to use for practioners. Most importantly, one of the most commonly used progra...

1 Overview Thank you for your interest in the Rational Krylov Toolbox (RKToolbox). The RKToolbox is a collection of scientific computing tools based on rational Krylov techniques. The development started in 2013 and the current version 2.7 provides ˆ an implementation of Ruhe’s (block) rational Krylov sequence method [8, 9], allowing to control various options, including user-defined inner prod...