Search Results for "decomposition" - Page 4
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Showing 138 open source projects for "decomposition"
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wavelib
C Implementation of Wavelet Transform (DWT,SWT and MODWT)
...Both periodic and symmetric options are available. SWT/ISWT Stationary Wavelet Transform. It works only for signal lengths that are multiples of 2^J where J is the number of decomposition levels. For signals of other lengths see MODWT implementation. MODWT/IMODWT Maximal Overlap Discrete Wavelet Transform is another undecimated transform. It is implemented for signals of any length but only orthogonal wavelets (Daubechies, Symlets and Coiflets) can be deployed. This implementation is based on the method laid out in "Wavelet Methods For Wavelet Analysis" by Donald Percival and Andrew Walden. ... -
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LaNet-vi provides images of large scale networks on a two-dimensional layout. The algorithm is based on the k-core and k-dense (m-core) decomposition. For more details see http://lanet-vi.fi.uba.ar.
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Matlab software for analysis of skin conductance data (SC; viz., electrodermal activity, EDA; galvanic skin response, GSR). Data decomposition and scientific analysis based on deconvolution approach. Various functions via GUI or batch-mode.
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Universal Java Matrix Package
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. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large... -
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pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
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iModes
an internal wavefield modal decomposition GUI (in Matlab)
With the support of the NSF over the past few years we have developed a MATLAB tool that calculates the modal content of an internal wave field. -
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wordaxe (formerly deco-cow): A hyphenation library for Python. Several hyphenation algorithms: - the pattern-based from TeX/OOO, - by decomposition of compound words for German language. Includes support for paragraph line-breaking with ReportLab.
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Qi - Quantitative Imaging (PIV and more)
A collection of MATLAB tools for PIV, PTV, particle sizing, and more.
...Our Particle Image Velocimetry (PIV) tool, prana, implements a Robust Phase Correlation kernel for PIV analysis, and now includes Particle Tracking Velocimetry and sizing tools. Tools for pressure calculation, proper orthogonal decomposition (POD), and 3d imaging are under development. -
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AnomalyDetection
Anomaly Detection with R
AnomalyDetection is an R package developed by Twitter for detecting anomalies in seasonal univariate time series. It implements the Seasonal Hybrid Extreme Studentized Deviate (S‑H‑ESD) test, which reliably identifies both global and local outliers in data with trends and seasonality—commonly applied to system metrics, engagement data, and business KPIs. -
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Cell decomposition is one of the first applicable solution for path planning - robot path planning. The algorithm aims to find free areas (cells not occupied by obstacles) in the configuration space, and build a graph of adjacency for these cells.
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SL2
SL2 (= SLSL) - A Simple Linear Systems Library
SL2 is a C++ template library for solving systems of linear equations, providing the most common algorithms for dense and sparse systems. It uses OpenMP for parallelization and has no other dependencies. As the name suggests, SL2's implementation is staightforward with a focus on clear concepts, easy usage and understandable code. -
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Lsie
General purpose Lindenmayer system written in C++
Lsie (Elsie) is a Lindenmayer system implementation written in C++. It supports bracketed, stochastic, context sensitive, parametric, conditional grammars with parameter signature matching, homomorphism and decomposition. Expression evaluation and signature matching is based on an internal bytecode compiler and interpreter, types are statically checked at compile time. It may seem a bit overkill, but it is fun to write and it has some practical advantages. :) The project is work in progress. Basically it is a toy, it is not optimized nor thoroughly tested, and it supports only few built-in types. ... -
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fmathlib
Fortran library with special functions.
...Ei function 6. integratate, double, triple and six(include complex) 7. LegendrePlm 8. Bessel functions 9. SphericalHarmonicY 10. Zeros find function 11. Added code from eispack 12. Added realisation of QR decomposition -
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mathSuite
Powerful Calculus Environment and Matrices Handling Engine
...You'll also be able to execute your own scriptfiles with a basic math-oriented beta script language. Some feature regarding Matrices and Linear Algebra Operations are LU-Factorization, SVD Decomposition, Rank Calculator, Ill Condition Checking and more... There are also a very powerful Linear System Solver and Basic PRELoaded Functions Integrator Engine. -
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HRDAG
Framework for Hierarchical Graph Decomposition
This is a framework used to decompose hierarchical graphs, i.e.,graphs which were created from or contain a hierarchy of modules. Each module is reused several times in the hierarchy. This may be useful to reverse-engineer human constructs like electronic equipment, manufactured machines, or bureaucratic hierarchies; but also to decompose natural constructs like gene-relation or protein-relation nets. -
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Colt provides a set of Open Source Libraries for High Performance Scientific and Technical Computing in Java http://acs.lbl.gov/~hoschek/colt/ This project starteda as a port of the Colt core library to C#, but contains additional features.
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Chainsaw
Chainsaw is an OWLReasoner implementation aimed at large ontologies
Development for Chainsaw is at https://bitbucket.org/ignazio1977/chainsaw For recent source code and support, please visit the BitBucket page. Chainsaw uses modularisation and atomic decomposition to delegate reasoning tasks to other OWL 2 reasoners; it leverages Divide and Conquer to reduce the ontology to the part necessary to answer a specific query. -
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CVM C++ Class Library encapsulates concepts of vector and square, band, symmetric and hermitian matrices in Euclidean space of real and complex numbers. It utilizes BLAS and LAPACK Fortran libraries. See http://cvmlib.com for binaries and more details.
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SHOP2 is a domain-independent automated-planning system based on ordered task decomposition, a type of Hierarchical Task Network (HTN) planning. Development is no longer done on sf; only file hosting now. WARNING: Java code here is not maintained....
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MIST
A MATLAB toolbox to simulate optical systems
...It allows the user to define any optical setup (composed typically of laser sources, mirrors, lenses, electro-optical modulators and detectors) and to compute the static laser field at any point. It uses a Hermite-Gauss modal decomposition to simulate diffraction limited optics. This tool is being developed mainly for simulation of large scale interferometers with resonant cavities used for the detection of gravitational waves. Subscribe to the mailing list for updates and news. If you use MIST in your own simulation work, please cite is as G. Vajente, "Fast modal simulation of paraxial optical systems: the MIST open source toolbox" Classical and Quantum Gravity 30, 075014 (2013) -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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ABM-Calibration-SensitivityAnalysis
Codes and Data for Calibration and Sensitivity Analysis of ABM
...Local SA 2. Morris Screening 3. DoE 4. Partial (Rank) Correlation Coefficient 5. Standardised (Rank) Regression Coefficient 6. Sobol' 7. eFAST 8. FANOVA Decomposition Have also a look on our other projects: http://www.uni-goettingen.de/de/315075.html -
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PyDQP
Distributed QP Solver in Python
PyDQP implementes 11 different dual decomposition schemes, both first and second order, in order to solve quadratic programs in a distributed fashion. -
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matrix.h
Some basic matrix algorithms implemented in C
This is a collection of some matrix algorithms like matrix inverse, LU decomposition, Gauss elimination, matrix multiplication, matrix pow, matrix add, matrix subtract etc. This package also contains debugging information for the above algorithms -
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FreDec
Parallelized FREquency DEComposer algorithm
This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. ...
