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LU Decomposition is applied to a sparse banded matrix. We show how fill-ins can make solution by elimination not manageable. The same matrix is used to solve the Poiseuille flow problem in a rectangular channel using the finite differences approach. The result obtained using this numerical technique is in agreement with the one given by the analytical solution, which was derived using separation of variables.



Returns a sparse adjacency matrix 'mAdj' according to the incidence matrix 'mInc'. The rows in the incidence matrix must represent the edges, while the columns the vertices.
Function can handle directed graphs with incidence matrix containing...



Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came from where. Ideal for any form of count-based probabilistic analysis.

Typically used in a chain following loadcell.m and...



The main file interpMatrix.m in this package creates a sparse Toeplitz-like matrix representing a regularly-spaced interpolation operation between a set of control points. The user can specify the interpolation kernel, the number of control...



The RSQP Toolbox is developed based on the theory of reduced Hessian successive quadratic programming for large scale optimization.
The toolbox is a collection of functions that extend the capability of MATLAB Optimization Toolbox in solving...



SIMPLETRACKER a simple particle tracking algorithm that can deal with gaps

*Tracking* , or particle linking, consist in re-building the trajectories
of one or several particles as they move along time. Their position is
...



finds null space and range of a sparse matrix using lu decomposition.

This routine is devoted to find null space of possibly large matrix fast.
Results may be inaccurate if zero and nonzero singular values are not well separated.



'sparse' is a matrix class based on a dictionary to store data using 2-element tuples (i,j)
as keys (i is the row and j the column index). The common matrix operations such as
'dot' for the inner product, multiplication/division by a...



CMIF - Complex Mode Indicator Function

Inputs:
H - full complex H matrix (Frequency Response Function) including at least 2 reference points measurements:
[number of frequency points x number of DOF x number of reference...



Return the optimal path given the adjacency/cost sparse matrix and source/destination nodes.

Run mexme_dijkstra.m to compile mex-files on your own-plateform

Run test_dijkstra.m for the demo



AML++ is a matrix library which mimics most Matlab/Octave features and functions. It offers many different matrix classes (both real and complex including generic dense and sparse matrices, upper/lower triangular, symmetric, Hermitian and band).



This is a templated library of numerical base classes which implement basic data structures like complex numbers, dynamic vectors, static vectors, different types of matrices like full matrices, band matrices, sparse matrices, etc. and also...



LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and...



Zfit(data)
Plots the impedance DATA which has to be a 3-columns wise matrix [FREQ, RealZEXP, ImagZEXP]. Impedance, admittance, capacitance and modulus representations in the complex plane are then pushbutton obtainable.

The others...



This is a program that generates a test problem for linear optimization with a sparse matrix. The test problem is of the kind

min c'*x
s.t. Aeq*x=beq
lb<=x<=ub

where lb is a zero vector and ub is greater then...



This simple code, generates the ECOC matrix for both dense and sparse schemes.
This simple code, generates the ECOC matrix for both dense and sparse schemes. It is more efficient in terms of speed than previously seen Matlab files to generate...



NMath Matrix is a matrix manipulation library that can be used for different types of matrix expressions. Users are allowed to calculate variety of sparse matrix problems like, symmetric, hermitian, symmetric banded etc and to transpose them. They...



object oriented numerical library for Delphi and C++ Builder users. Complete support for complex numbers for all functions in single or double precision. Matrix operations: Solving a system of linear equations with refinment and condition number...



this second version support complex data.

[data, plot_title] = ssbin2mlab(filename, desired_variable) reads a
Binary Smartspice RAW file 'filename' and extract the variable(s) of interest from 'desired_variable' using the file's...



SYNTAX: B = fulltosparse(A)

A = full 2-dimensional double matrix
B = sparse 2-dimensional double matrix version of A

This example demonstrates how to populate a sparse matrix. For the purpose of this example, you must...