05-24-2007
You are a man of few words
! Amazing!
My unix machine is down, and it will be a while before I can try this out. But now that I have seen it, I can tweak it, if I do run into any errors.
Thanks!
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file format is
word filename no.of occurances
------------------------------
wish f3.txt 2
wish f2.txt 1
cold f1.txt 5
cold f2.txt 3
cold f1.txt 3
cold e.txt 3
gold f1.txt 7
gold f3.txt 3
rush e.txt 2
itz abt building a search index for every word in the files given as input
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Input file
<data id>="1">\
</data>\
<data id>="2">\
</data>\
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<data id>="1">\
</data>\
<data id>="2">\
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Hi,
I have the following list:
42A
42AA
42B
42BB
42AAA
42BBB
49A
49AA
49B
49AAA
49BB
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LEARN ABOUT REDHAT
dgglse
DGGLSE(l) ) DGGLSE(l)
NAME
DGGLSE - solve the linear equality-constrained least squares (LSE) problem
SYNOPSIS
SUBROUTINE DGGLSE( M, N, P, A, LDA, B, LDB, C, D, X, WORK, LWORK, INFO )
INTEGER INFO, LDA, LDB, LWORK, M, N, P
DOUBLE PRECISION A( LDA, * ), B( LDB, * ), C( * ), D( * ), WORK( * ), X( * )
PURPOSE
DGGLSE solves the linear equality-constrained least squares (LSE) problem:
minimize || c - A*x ||_2 subject to B*x = d
where A is an M-by-N matrix, B is a P-by-N matrix, c is a given M-vector, and d is a given P-vector. It is assumed that
P <= N <= M+P, and
rank(B) = P and rank( ( A ) ) = N.
( ( B ) )
These conditions ensure that the LSE problem has a unique solution, which is obtained using a GRQ factorization of the matrices B and A.
ARGUMENTS
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrices A and B. N >= 0.
P (input) INTEGER
The number of rows of the matrix B. 0 <= P <= N <= M+P.
A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix A. On exit, A is destroyed.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
B (input/output) DOUBLE PRECISION array, dimension (LDB,N)
On entry, the P-by-N matrix B. On exit, B is destroyed.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,P).
C (input/output) DOUBLE PRECISION array, dimension (M)
On entry, C contains the right hand side vector for the least squares part of the LSE problem. On exit, the residual sum of
squares for the solution is given by the sum of squares of elements N-P+1 to M of vector C.
D (input/output) DOUBLE PRECISION array, dimension (P)
On entry, D contains the right hand side vector for the constrained equation. On exit, D is destroyed.
X (output) DOUBLE PRECISION array, dimension (N)
On exit, X is the solution of the LSE problem.
WORK (workspace/output) DOUBLE PRECISION array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >= max(1,M+N+P). For optimum performance LWORK >= P+min(M,N)+max(M,N)*NB, where NB is an
upper bound for the optimal blocksizes for DGEQRF, SGERQF, DORMQR and SORMRQ.
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.
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an illegal value.
LAPACK version 3.0 15 June 2000 DGGLSE(l)