Search Results for "learning linux command line"

The General Mission Analysis Tool (GMAT) is an open-source tool for space mission design and navigation. GMAT is developed by a team of NASA, private industry, and public and private contributors. The GMAT development team is pleased to announce the release of GMAT version R2022a. For a complete list of new features, compatibility changes, and bug fixes, see the R2022a Release Notes in the Users Guide.

librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is...

The main goal of this project is to develop new algorithms of machine learning and collect examples of existing methods. This collection pursues scientific and educational purposes.

... something acting on a position with direction and magnitude. Finally you can give each position a tag to display on screen. This could be a common math symbol or greek letter, start/end signposts, or a number of the position either from the begining or after a reset. After all the information has been loaded for your dataset. Either passed over the command line, or as a text file. Lottie Vectors displays inside a figure that you can resize, rotate and turn 2D positions into a 3D picture.

Octave code to perform arbitrary-precision integer arithmetic. It may or may not work in Matlab. The supported operations are: >> s = a = intinf (126) % Creation of intinf-class object from integer or string >> b = intinf ('-792716404922304611755050042308687') >> c = a + b % Addition >> d = a - b % Subtraction >> e = c * d % Multiplication >> f = (e - a^2) / b %...

psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.

A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models. It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the...

GLPKMEX - a Matlab MEX interface for the GLPK library Note: GLPKMEX is not currently compatible with glpk-4.49, or later. please use with glpk 4.40 - 4.48.

PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (non-linear mixed effects models).

A C++ library for the computation of bifurcation diagrams: it provides tools for the integration of systems of ODEs that depend on parameters. A Python interface is included.

A NEW GUI VERSION WILL BE RELEASED SOON! Thank you for visiting the Physics Calculator, provided by PIezoSystems Inc., please visit their company website at https://piezosystems.org. For other downloads, please visit our github page, https://github.com/PiezoSystems. We hope that you find this program useful and easy to use, for troubleshooting, please email us, contact@piezosystems.org. If any bugs were found, please email us at bugs@piezosystems.org.

Provides an API, which enables the Matlab or Octave user (and developer) to incorporate Space Weather data and metadata resources from the Space Physics Interactive Data Resource (SPIDR) directly into an Matlab/Octave application. Examples included.

Maximally flat (maxflat) digital filter design for Octave and Matlab. "Maximally flat" means that the magnitude frequency response has the maximum number of vanishing derivatives at 0 and pi. Handles arbitrary numbers of poles and zeros.

Source code for the paper J. Keiner and B. Waterhouse. Fast Principal Components Analysis method for finance problems with unequal time steps. In P. L'Ecuyer and A. B. Owen, editors, Monte Carlo and Quasi-Monte Carlo Methods 2008, Springer Verlag, 2010

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/

A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and...

This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.

neuro fuzzy net: 1. Object oriented Programming! 2. matlab project with back propagation, and hibrid learning. 3. Can use to MLP or ANFIS Sugeno modelling. 4. Integrated with Simulink (Sfunction M) by any questions mail me : tsepkovsky@yandex.ru

Octave interface to the finite elements library Libmesh. Under the scientific interpreted language Octave, Octmesh allows using the Libmesh characteristics for the numerical simulation of partial differential equations on serial and parallel platforms.

Matlab freeware for data analysis, by J. M. Lilly

Fast Gauss Transform Implementation Evaluate the sum of N Gaussians at M points