--please have a look at my third post in this thread! there I explained it more clearly--
Hey guys.
I posted a complex problem few days back. No reply! :|
Here is simplified question:
I have a matrix with 0/1:
I wanna randomize it 1000 times (or even more!) and have matrices with the same sum for each row and column as it is in input file.
Hi All
I would like to merge multiple files with the same row and column size into a matrix format
In a folder I have multiple files in the following format
vi 12.txt
a 1
b 5
c 7
d 0
vi 45.txt
a 3
b 6
c 9
d 2
vi 9.txt
a 4 (7 Replies)
Hi all,
Is there a way to convert full data matrix to linearised left data matrix?
e.g full data matrix
Bh1 Bh2 Bh3 Bh4 Bh5 Bh6 Bh7
Bh1 0 0.241058 0.236129 0.244397 0.237479 0.240767 0.245245
Bh2 0.241058 0 0.240594 0.241931 0.241975 ... (8 Replies)
I have the code below in C++ and am trying to understand what these do and how to call them.
template <class Type>
class Matrix {
public:
Matrix();
Matrix(
const int m,
const int n );
Matrix(
const Matrix& A );
~Matrix(); (0 Replies)
Hi everyone
I am very new at awk but think that that might be the best strategy for this. I have a matrix very similar to a correlation matrix and in practical terms I need to convert it into a list containing the values from the matrix (one value per line) with the first field of the line (row... (5 Replies)
Hi,
Is there a tool somewhat parallel to rev, but which randomizes instead of reverses?
I've tried rl, but I can only get it to randomize words.
I was hoping for something like this
echo "hello" | ran
leolh
less simpler solutions are also welcome.
Sorry if the question is... (21 Replies)
Hi,
I have a large file that looks like this:
@FCC189PACXX:2:1101:1420:2139/1
AGCGAGACTCCGTCTCAAAAAGAAAAAATTTTTCAAAATATTGCAATGGGCTTGTAATTTCTGCTTAAATGTCAGGAGGTCTGAGCCATT
+
bbbeeeceggggghiiiiiiiiiihfihihiiihhhghiihhihifhihiihhhhhhhhiiigfggggdceeeeebdcc^``bbcbccbb... (3 Replies)
Hi there, friends!
Writing exams again! This time my wish would be to randomize certain columns in a csv file. Given a file containing records consisting of 3 columns tab-separated:
A B C
A B C
A B C
I would love to get the columns of each record in random order...separated by a tab as... (12 Replies)
Discussion started by: eldeingles
12 Replies
LEARN ABOUT REDHAT
cgelss
CGELSS(l) ) CGELSS(l)
NAME
CGELSS - compute the minimum norm solution to a complex linear least squares problem
SYNOPSIS
SUBROUTINE CGELSS( M, N, NRHS, A, LDA, B, LDB, S, RCOND, RANK, WORK, LWORK, RWORK, INFO )
INTEGER INFO, LDA, LDB, LWORK, M, N, NRHS, RANK
REAL RCOND
REAL RWORK( * ), S( * )
COMPLEX A( LDA, * ), B( LDB, * ), WORK( * )
PURPOSE
CGELSS computes the minimum norm solution to a complex linear least squares problem: Minimize 2-norm(| b - A*x |).
using the singular value decomposition (SVD) of A. A is an M-by-N matrix which may be rank-deficient.
Several right hand side vectors b and solution vectors x can be handled in a single call; they are stored as the columns of the M-by-NRHS
right hand side matrix B and the N-by-NRHS solution matrix X.
The effective rank of A is determined by treating as zero those singular values which are less than RCOND times the largest singular value.
ARGUMENTS
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
NRHS (input) INTEGER
The number of right hand sides, i.e., the number of columns of the matrices B and X. NRHS >= 0.
A (input/output) COMPLEX array, dimension (LDA,N)
On entry, the M-by-N matrix A. On exit, the first min(m,n) rows of A are overwritten with its right singular vectors, stored row-
wise.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
B (input/output) COMPLEX array, dimension (LDB,NRHS)
On entry, the M-by-NRHS right hand side matrix B. On exit, B is overwritten by the N-by-NRHS solution matrix X. If m >= n and
RANK = n, the residual sum-of-squares for the solution in the i-th column is given by the sum of squares of elements n+1:m in that
column.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,M,N).
S (output) REAL array, dimension (min(M,N))
The singular values of A in decreasing order. The condition number of A in the 2-norm = S(1)/S(min(m,n)).
RCOND (input) REAL
RCOND is used to determine the effective rank of A. Singular values S(i) <= RCOND*S(1) are treated as zero. If RCOND < 0, machine
precision is used instead.
RANK (output) INTEGER
The effective rank of A, i.e., the number of singular values which are greater than RCOND*S(1).
WORK (workspace/output) COMPLEX array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >= 1, and also: LWORK >= 2*min(M,N) + max(M,N,NRHS) For good performance, LWORK should gen-
erally be larger.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this
value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
RWORK (workspace) REAL array, dimension (5*min(M,N))
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value.
> 0: the algorithm for computing the SVD failed to converge; if INFO = i, i off-diagonal elements of an intermediate bidiagonal
form did not converge to zero.
LAPACK version 3.0 15 June 2000 CGELSS(l)