This code can be used to solve a set of linear equations using Gaussian elimination with partial pivoting. Note that the Augmented matrix rows are not directly switches. Instead a buffer vector is keeping track of the switches made. The final solution is determined using backward substitution.
This Matlab program Solve N-equation with Gauss elimination method and check results with Matlab Function.
This script will determine the lower-upper factorization of a square matrix "A" through Gauss elimination.
In this project i have coded (C++) Gauss elimination matrix solver for cfd applications
The m-file finds the elimination matrices (and scaling matrices) to reduce any A matrix to the identity matrix using the Gauss-Jordan elimination method without pivoting. Using the matrices gotten it computes the inverse of the A matrix.
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 form A(P,Q) = L * U where P and Q are permutation...
Simulink model for 1phase fully controlled scr harmonic elimination with free wheeling is modelled. its easy to understand and efficient and u can learn the basics of rectification. It is intended to students who would like to simulate rectifiers....
Source code includes portable (Windows, Linux, and MacX) C++ libraries: Thread pool Asynchronous sockets management Asynchronous files management Completion Port implementation for Linux Database access (Oracle, MySQL,...
CSPHANTOM is a test phantom tailored to compressed sensing MRI algorithm development. It is designed to be non-sparse under a gradient transform and to contain features difficult to reproduce with partial Fourier sampling. We hope that this...
Working with Windows API which usually takes like a zillion for each function can be a little bit frustrating and if I want to only change two in the middle for each call I had to wrap everything into lambda functions which change arguments to the...
We focus on the lectures 20, 21, and 22 of the book "Numerical Linear Algebra" by Trefethen and Baum.
ECR is a new method for regression analysis, which employs a supervising alpha to supervise the X-matrix decomposition. When alpha=0, ECR coincides with principal component regression (PCR), when alpha=1, ECR coincides with partial least squares...
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...
The Keywords Widget collects the query strings from Google, Bing and Yahoo. It lists the keywords as a sidebar widget so that users might click on them and find information using the WordPress built-in search. In this way a user might find more...
New Features: * 1.5 - Allows all users who are logged in to see all Private posts * show_private_posts() is now a widget * Merged with Partial Private Post (See below)
This plugin is a full featured private post...
solves the linear least squares problem with nonnegative variables using the block principal pivoting algorithm in: Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems...
There are two issues with the Pearson type IV distribution: (I) the complex gamma function entering the normalization constant in the probability density function (pdf) and (II) the complex Gauss hypergeometric function entering the cumulative...
Solves the linear least squares problem with nonnegative variables using the newton's algorithm in: Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative...
Solves the linear least squares problem with nonnegative variables using the predictor-corrector algorithm in: Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with...
A simple partial differential equation (PDE) with boundary conditions is examined:
d/dx( x dy/dx ) = x y(0) = y(1) = 0.
Integrate the PDE twice to get its solution. Then apply the boundary conditions and get a... |