Factorization

This script will determine the lower-upper factorization of a square matrix "A" through Gauss elimination.

FRD - Full rank factorization of input matrix X.This will write X as the product of two matrices X = KL where both K and L have the same rank as X.

Rank-Revealing QR factorization of an array. The mex-functions are using the rank-revealing QR routines xGEQPX and xGEQPY from ACM Algorithm 782. Can also handle complex and single precision array's.


Platforms: Matlab

To enhance the efficiency and accuracy of Kalman filter computations, in particular the time and measurement updates, UDU factorization is employed. An interesting feature of the current implementation is the extension to semi-positive (nonnegative) matrices and systems with a time-varying state...


Platforms: Matlab

POLYFACT Polynomial FactorizationQ = POLYFACT(A) returns the factorization of polynomial A. Input variable A must be a vector with integer coefficients in descending order. e.g. [3 7 2] represents 3*x^2+7x+2 Output Q is a cell array with each index being a polynomial factor, with integer...


Platforms: Matlab

To compute the LU factorization under default settings: [L U p q] = lucp(A)This produces a factorization such that L*U = A(p,q). Vectors p and q permute the rows and columns, respectively.The pivot tolerance can be controlled: [L U p q] = lucp(A,tol)The algorithm will terminate if the absolute...


Platforms: Matlab

YAFU or Yet Another Factoring Utility is an interactive Command Line instrument for integer factorization. YAFU has a general purpose function, factor, which tries to optimally reduce a number to its factors using a combination of all of the implemented methods. This method measures the elapsed...


Platforms: Windows

The function's algorithm uses Gaussian integer factorization and variable precision integers. Requirements: - MATLAB 7.8 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

[U D] = UDFactor(P) returns matrices U and D such that U.'*D*U = P[U D] = UDFactor(P,uflag) returns matrices U and D such that U*D*U.' = Pwhen uflag is set to TRUE. Setting uflag to FALSE is equivalent torunning UDFactor with only one argument.The alogrithm of UDFactor is similar to the Cholesky...


Platforms: Matlab

rrlu computes a rank revealing LU factorization of a general m-by-n real full matrix A using partial pivoting with row and column interchanges.The factorization has the formA(P,Q) = L * Uwhere P and Q are permutation vectors, L is lower triangular(lower trapezoidal if m > n), and U is upper...


Platforms: Matlab

This is a function performs maximum likelihood estimation of Gaussian mixture model by using expectation maximization algorithm.It can work on data of arbitrary dimensions. Several techniques are applied in order to avoid the float number underflow problems that often occurs on applying...


Platforms: Matlab

If you like the idea behind MATLAB's linsolve or Tim Davis' linfactor, you might find trilin useful as well.Let's say you have a generalized least squares problem, x = C * u C = inv(N)where N = inv(A' * inv(V) * A) u = A' * inv(V) * bMatrices A and V are dense and large, and V is not diagonal....


Platforms: Matlab

The function's algorithm uses Gaussian integer factorization and variable precision integers.


Platforms: Matlab

Pysparse is a fast sparse matrix library for Python. It provides several sparse matrix storage formats and conversion methods. It also implements a number of iterative solvers, preconditioners, and interfaces to efficient factorization packages. Both low-level and high-level interfaces are...


Platforms: Mac

Pysparse is a fast sparse matrix library for Python. It provides several sparse matrix storage formats and conversion methods. It also implements a number of iterative solvers, preconditioners, and interfaces to efficient factorization packages. Both low-level and high-level interfaces are...


Platforms: *nix

NMath Core contains foundational classes for object-oriented numerics on the .NET platform. Product features include: Single- and double-precision complex number classes; full-featured vector and matrix classes for single- and double-precision floating point numbers and single- and...


Platforms: Windows

" Matrix calculator Pro " is a practical math tool to calculator matrice. As you see, it's easy, various, and effectual. Its price is only $49.90. Download and try it. Function: -Matrix inverse. -Matrix transpose. Largest component. Smallest component. Matrix or vector...


Platforms: Windows, *nix

HPC Challenge is a high performance benchmark suite. The HPC Challenge consists of basically 7 benchmarks: 1. HPL - the Linpack TPP benchmark which measures the floating point rate of execution for solving a linear system of equations. 2. DGEMM - measures the floating point rate of execution...


Platforms: *nix

HPL is a software package that solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers. It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark. The algorithm used...


Platforms: *nix

MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more. Scaling is done using sparse vectors, multi-threading, memory mapping, and other POSIX tricks. Reports, file dumping utilities and other utilities are included. The...


Platforms: *nix