Search Results for "together"

ADiGator is a source transformation via operator overloading tool for the automatic differentiation of mathematical functions written in MATLAB. Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. ...

MATLABRobotics is a collection of robotics-related algorithms and simulation tools implemented in MATLAB. The repository brings together a wide range of robotics functionality, including path planning, control, localization, and mapping. It provides practical algorithmic implementations such as A*, RRT, Kalman filters, particle filters, and SLAM, making it a valuable resource for students, researchers, and developers learning or prototyping robotics applications.

This project will create a user-friendly modeling system for studying animal social aggregations. The model codifies the a new hypothesis that the animal's state, kinematics, and the group's emergent properties are dynamically linked together, with each one affecting the others. The model will be constructed using Object-Oriented MatLab.

Code updated. There were a few errors in the physical model of the concentration field of secreted chemokine surrounding each cell, together with a few coding errors. All have been corrected, the model refitted, and all simulations presented in the paper repeated. Results from this corrected model are on par with the published results. See pdf file for details.

...The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.

BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.

These classes are useful for signal processing in Matlab or C++. They bring together tools and methods which may be used interchangeably for Matlab and C++. Their initial use is in conjunction with work towards my degree at UC Berkeley.

MADR is a framework for analysis of series of images (2D data) where each pixel position have the same meaning in every image. Based on a statistical analysis, the images can then be visualised together with parameters from the analysis.