I have a m X n matrix written out to file, say like this:
1,2,3,4,5,6
2,6,3,10,34,67
1,45,6,7,8,8
I want to calculate the column averages in the MINIMUM amount of code or processing possible. I would have liked to use my favorite tool, "AWK" but since it processes rowwise, getting the... (5 Replies)
Howdy,
I need to convert an association data matrix, currently in a two-column format, into a matrix with numbers indicating the number of associations. I've been looking around for AWK code in the list, but could not find anything. Here's an example of what I want to perform:
original... (10 Replies)
Hi All,
I have a huge matrix file consisting some some millions rows and 6000 columns. The contents are just floating point numbers in the matrix. I want to extract each column (i.e. 6000 of them) and store each column in a separate file.
For example, 1.dat will consist of elements from column... (4 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)
Greetings, salutations.
I have a 3 column csv file with ~13 million rows and I would like to generate a correlation matrix. Interestingly, you all previously provided a solution to the inverse of this problem. Thread title: "awk? adjacency matrix to adjacency list / correlation matrix to list"... (6 Replies)
Hello!
I'm new to linux programming. It would be great if you could help me out.
I have a matrix of kind:
10 30.0
20 190.5
40 180.
50 320.5
I would like
to substract 180 from column 2 If the value is >180
to add 180 for column 2 If the value is <180
nothing if it is equal to... (3 Replies)
Dear all,
I'm new in perl scripting and I'm trying to creating a matrix from a 3 column file sorting data in a particular manner. In the final matrix I need to have the first column "IDs" on the header of the columns and the second column values on the header of each row. And the value fo the... (2 Replies)
Hi, Is it possible to transpose the matrix like this using awk ? Many thanks in advance
Input
abc Name_1 0
abc Name_2 1
abc Name_3 2
abc Name_4 0.4
def Name_1 0
def Name_2 9
def Name_3 78
def Name_4 1
Output
abc def
Name_1 0 ... (4 Replies)
Discussion started by: quincyjones
4 Replies
LEARN ABOUT REDHAT
dlaqps
DLAQPS(l) ) DLAQPS(l)
NAME
DLAQPS - compute a step of QR factorization with column pivoting of a real M-by-N matrix A by using Blas-3
SYNOPSIS
SUBROUTINE DLAQPS( M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1, VN2, AUXV, F, LDF )
INTEGER KB, LDA, LDF, M, N, NB, OFFSET
INTEGER JPVT( * )
DOUBLE PRECISION A( LDA, * ), AUXV( * ), F( LDF, * ), TAU( * ), VN1( * ), VN2( * )
PURPOSE
DLAQPS computes a step of QR factorization with column pivoting of a real M-by-N matrix A by using Blas-3. It tries to factorize NB columns
from A starting from the row OFFSET+1, and updates all of the matrix with Blas-3 xGEMM.
In some cases, due to catastrophic cancellations, it cannot factorize NB columns. Hence, the actual number of factorized columns is
returned in KB.
Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
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
OFFSET (input) INTEGER
The number of rows of A that have been factorized in previous steps.
NB (input) INTEGER
The number of columns to factorize.
KB (output) INTEGER
The number of columns actually factorized.
A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix A. On exit, block A(OFFSET+1:M,1:KB) is the triangular
factor obtained and block A(1:OFFSET,1:N) has been accordingly pivoted, but no factorized. The rest of the matrix, block A(OFF-
SET+1:M,KB+1:N) has been updated.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
JPVT (input/output) INTEGER array, dimension (N)
JPVT(I) = K <==> Column K of the full matrix A has been permuted into position I in AP.
TAU (output) DOUBLE PRECISION array, dimension (KB)
The scalar factors of the elementary reflectors.
VN1 (input/output) DOUBLE PRECISION array, dimension (N)
The vector with the partial column norms.
VN2 (input/output) DOUBLE PRECISION array, dimension (N)
The vector with the exact column norms.
AUXV (input/output) DOUBLE PRECISION array, dimension (NB)
Auxiliar vector.
F (input/output) DOUBLE PRECISION array, dimension (LDF,NB)
Matrix F' = L*Y'*A.
LDF (input) INTEGER
The leading dimension of the array F. LDF >= max(1,N).
FURTHER DETAILS
Based on contributions by
G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
X. Sun, Computer Science Dept., Duke University, USA
LAPACK version 3.0 15 June 2000 DLAQPS(l)