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Full Discussion: win 2000
Special Forums Windows & DOS: Issues & Discussions win 2000 Post 27485 by RuDe_BuT_CoOoL on Monday 2nd of September 2002 09:39:26 AM
Old 09-02-2002
Data win 2000

Dear user

sorry if the subject is not for that fourm .. but I get mad .. I wana solve that problem.. I started my new semster .. and last semster.. and there I use the net under a very huge list of restriction .. no msn massenger .. no yahoo massenger .. no underground site .. no fourms (I am surprized how do they leave that site unblocked) ... I feel so .. so .. I dont know how to explain but I feel that I will burn my self by my rage ..

if some one can help ... how to get a admin password .. anyway ..

they use windows 2000 server ... and I use a student account .. if anyone can help me please do ...

if this subject is not according the rule of that fourm .. I appology

neeeeeeeeeeeeeeeeeed help
 

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SGGGLM(l)								 )								 SGGGLM(l)

NAME
SGGGLM - solve a general Gauss-Markov linear model (GLM) problem SYNOPSIS
SUBROUTINE SGGGLM( N, M, P, A, LDA, B, LDB, D, X, Y, WORK, LWORK, INFO ) INTEGER INFO, LDA, LDB, LWORK, M, N, P REAL A( LDA, * ), B( LDB, * ), D( * ), WORK( * ), X( * ), Y( * ) PURPOSE
SGGGLM solves a general Gauss-Markov linear model (GLM) problem: minimize || y ||_2 subject to d = A*x + B*y x where A is an N-by-M matrix, B is an N-by-P matrix, and d is a given N-vector. It is assumed that M <= N <= M+P, and rank(A) = M and rank( A B ) = N. Under these assumptions, the constrained equation is always consistent, and there is a unique solution x and a minimal 2-norm solution y, which is obtained using a generalized QR factorization of A and B. In particular, if matrix B is square nonsingular, then the problem GLM is equivalent to the following weighted linear least squares problem minimize || inv(B)*(d-A*x) ||_2 x where inv(B) denotes the inverse of B. ARGUMENTS
N (input) INTEGER The number of rows of the matrices A and B. N >= 0. M (input) INTEGER The number of columns of the matrix A. 0 <= M <= N. P (input) INTEGER The number of columns of the matrix B. P >= N-M. A (input/output) REAL array, dimension (LDA,M) On entry, the N-by-M matrix A. On exit, A is destroyed. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,N). B (input/output) REAL array, dimension (LDB,P) On entry, the N-by-P matrix B. On exit, B is destroyed. LDB (input) INTEGER The leading dimension of the array B. LDB >= max(1,N). D (input/output) REAL array, dimension (N) On entry, D is the left hand side of the GLM equation. On exit, D is destroyed. X (output) REAL array, dimension (M) Y (output) REAL array, dimension (P) On exit, X and Y are the solutions of the GLM problem. WORK (workspace/output) REAL 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,N+M+P). For optimum performance, LWORK >= M+min(N,P)+max(N,P)*NB, where NB is an upper bound for the optimal blocksizes for SGEQRF, SGERQF, SORMQR 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 SGGGLM(l)
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