Related to: Decomposition

Matrix Decomposition

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Brannon, Jason - Composition Decomposition

Parallel Multi- domain Decomposition
Parallel Fortran 90 module to solve positive- definite elliptic linear second- order operator systems.

Global Litter Invertebrate Decomposition Experiment
Assesses rates of decomposition while controlling climatic factors across latitudes and biomes.

Considerations on the Doctrine of Phlogiston and the Decomposition of Water: 1796
Paper given by Priestley giving a summary of reasons to doubt the new antiphlogistic theory and retain that of phlogiston. Original text in HTML format, includes a glossary of archaic chemical terms.

Matroid Decomposition
Electronic library of mathematics monograph by Klaus Truemper.

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Domain Decomposition Organization
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Domain Decomposition People
A list of web pages and email addresses of workers in Domain Decomposition methods.

# Software Listing: Decomposition

The Empirical Mode Decomposition is a technique to decompose a given signal into a set of elemental signals called Intrinsic Mode Functions. The Empirical Mode Decomposition is the base of the so-called 'Hilbert-Huang Transform' that comprises also a Hilbert Spectral Analysis and an instantaneous frequency computation. A modified improved algorithm for the Empirical Mode Decomposition is implemented. The output is a set of AM/FM modulated signal. To use it, it is enough to input the signal, two resolutions in dB (~50) and a step value <=1 (normally =1)..

• Platform: Scripts, Matlab

GUI for univariate time series modeling and decomposition based on Pandit and Wu (1983).

• Platform: Scripts, Matlab

This is the 2-D Fast DOST Decomposition. The computational complexity is O(NlnN).

• Platform: Scripts, Matlab

Split the signal S(SPACE,TIME) into its downward/upward space propagating and stationnary components via a 2D Fourier decomposition. S is a (SPACE,TIME) matrix. We eventually proceed to a space and/or time filtering. DT,DX are temporal and space step. PERIOD=[Tmin Tmax] and WAVELENGTH=[Xmin Xmax] are time and space band-pass filters specifications..

• Platform: Scripts, Matlab

This scrip determines the column vector 'x', given the LU decomposition of matrix 'A'. It performs the forward substitution, finding 'y=L*z', then, by backward substitution: 'z=U*x', determines the values of 'x'..

• Platform: Scripts, Matlab

This function plots the result of wavedec2 matlab function in two different modes. The first one called 'tree' displays all approximations and details coefficients (horizontal, vertical, diagonal), the second one called 'square' displays the classical "squared" representation of a wavelet image decomposition.

• Platform: Scripts, Matlab

Quadtree decomposition of RGB image of size M-by-N-by-3. Three thresholds for red,green and blue components are used. For any R or G or B block if the maximum value of the block elements minus the minimum value of the block elements is greater than its respective threshold then the RGB block is split into 4 blocks. For lossy encoding (individual) mean value R,G,B are assign to RGB block. Image is padded if its size is not power of 2, so that image can be divided until block of size 1. Thresholds are specified as a value between 0 and 1 (0 for lossless encoding). If Image is of type uint8 then threshold value is multiplied by 255, if Image is of type uint16 then threshold value is multiplied by 65535, to determine the actual threshold.

• Platform: Scripts, Matlab

It generates a stochastic field on a squared space. Samples are created by Latin hypercube sampling and the spatial correlation is performed by an algorithm based on Cholesky decomposition. Example inside..

• Platform: Scripts, Matlab

The solution of the nearest correlation matrix applies the hypershpere or spectral decomposition methods as outlined in Monte Carlo methods in Finance by Peter Jackel, Chapter 6. Use CorrelationExample.m that applies a simple example for the two cases..

• Platform: Scripts, Matlab

This function does the decomposition of a separable nD kernel into its 1D components, such that a convolution with each of these components yields the same result as a convolution with the full nD kernel, at a drastic reduction in computational cost. SYNTAX: ======= [K1,KN,ERR] = DECOMPOSE_KERNEL(H) computes a set of 1D kernels K1{1}, K1{2}, ... K1{N} such that the convolution of an image with all of these in turn yields the same result as a convolution with the N-dimensional input kernel H: RES1 = CONVN(IMG,H); RES2 = IMG; FOR II=1:LENGTH(K1) RES2 = CONVN(RES2,K1{II}); END KN is the reconstruction of the original kernel H from the 1D kernels K1, and ERR is the sum of absolute differences between H and KN.

• Platform: Scripts, Matlab

The function qtdecomp_var.m peformes quad tree decomposition of square gray-scale image using varience criperion. If an image block has varience greater or equal to the whole image varience (optionally weighted), then the block is split further. The weighting has an effect on the splitting similar to pre-processing the image using for example a median filter. For example usage see ex_qtdecomp_var.m. % qtdecomp_var.m- quadtree decomposition based on variance %************************************************************************** % [S] = qtdecomp_var(I, var_weight) %************************************************************************** % INPUTS: % I - gray scale square image % var_weight- weight for the variance criterion [optional] (default is 1) %************************************************************************** %...

• Publisher: Elena
• Date: 23-02-2013
• Size: 10 KB
• Platform: Scripts, Matlab

Using pyramid decomposition and iterative refinement, OF is calculated. Includes a demo and a paper that thoroughly explains the methodology..

• Platform: Scripts, Matlab

This program will obtain the LU decomposition for any square matrix. The LU decomposition method consists of finding the L and U matrices that will satisfy the equation A=L*U, A being a square matrix. Once L and U found, in order to solve for x, we can rewrite the equation A*x=B as L*x_star=b (Eq.1) where x_star=U*x (Eq.2). Then we can find x_start by using forward substitution on Equation 1 and finally solve for x using backward substitution on Equation 2..

• Publisher: Timothee
• Date: 17-05-2013
• Size: 10 KB
• Platform: Scripts, Matlab

Using the Cholesky decomposition, it generates n iterations of multivariate Gaussian random variables for a given mean vector (mu) and variance-covariance matrix (sigma). mvgrnd(mu,sigma,n).

• Platform: Scripts, Matlab

Matrix decomposition using, e.g. the Cholesky decomposition requires the correlation matrix to be positive definite. That is, the eigenvalues must all be positive. In finance, this is rarely the case, and one often observes negative eigenvalues, or zero eigenvalues. These two functions do essentially the same thing. One adjusts only the <= 0 eigenvalues, while the other adjusts those eigenvalues, but then also increases the other non-negative eigenvalues to compensate for the higher 'weight' given to the smaller eigenvalues..

• Publisher: Aleksander
• Date: 19-02-2013
• Size: 10 KB
• Platform: Scripts, Matlab
• Carpark
• Price: 0.00

Carpark adds LISP-style car, cdr, and endless combinations of them to the standard Ruby Array, allowing for terse and powerful decomposition of deeply nested arrays: [1, [2, 3, [4, 5], [[[6]]]]].caaaadddadr => 6.

• Platform: Scripts, Ruby

An S/MIME ActiveX component that provides the ability to S/MIME encrypt or digitally sign files or data. It can also decrypt and validate / authenticate S/MIME messages, data, or files. This component also provides general MIME message building and decomposition functionality, and it provides it in a way that spares you the burden of becoming an expert in MIME message formatting and syntax. The Chilkat S/MIME component is a MIME expert system that automatically handles the formatting and structuring of a MIME or S/MIME message..

• Platform: Win95, Win98, WinME, WinNT 4.x, WinXP, Windows2000

A set of interactive charting components for specialized purposes. By using these components, your application can be extended with decomposition bar charts, budget status indicators, KPI status tables, and similar presentations.

Components are designed as a lightweight alternative to the universal grids and charting components. Every component from the DecoCharts package can be used separately for its concrete purposes, without some resource-heavy universal component class in the background.

DecoCharts components are designed for all Delphi versions from 7 to XE2.

What's included?

* TDecoBar
Interactive decomposition chart that allows you to present different types of financial, statistical or general numeric data in a clear form of expandable bars.

• Platform: Win2000, Win7 x32, Win7 x64, WinServer, WinVista, WinVista x64, WinXP
• Anahy
• Price: 0.00

Anahy is a programming environment that offers resources for the development of parallel programs, aiming basically at the decomposition of the application in concurrent activities, and an executive to efficiently exploring the available hardware..

• Publisher: anahy.org
• Date: 26-05-2012
• Size: 848 KB
• Platform: BSD; Linux

Simple order fulfillment system with flexible order decomposition and domain specific programming language for describing decomposition scenarios. Most suitable for Mobile Communications operators who are using Oracle BPEL and AIA technology..

• Platform: Windows; Mac; Linux

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