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dggglm.f(3) LAPACK dggglm.f(3)

NAME

dggglm.f -

SYNOPSIS

Functions/Subroutines


subroutine dggglm (N, M, P, A, LDA, B, LDB, D, X, Y, WORK, LWORK, INFO)
DGGEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for GE matrices

Function/Subroutine Documentation

subroutine dggglm (integerN, integerM, integerP, double precision, dimension( lda, * )A, integerLDA, double precision, dimension( ldb, * )B, integerLDB, double precision, dimension( * )D, double precision, dimension( * )X, double precision, dimension( * )Y, double precision, dimension( * )WORK, integerLWORK, integerINFO)

DGGEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for GE matrices

Purpose:


DGGGLM 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 the matrices (A, B) given by
A = Q*(R), B = Q*T*Z.
(0)
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.

Parameters:

N


N is INTEGER
The number of rows of the matrices A and B. N >= 0.

M


M is INTEGER
The number of columns of the matrix A. 0 <= M <= N.

P


P is INTEGER
The number of columns of the matrix B. P >= N-M.

A


A is DOUBLE PRECISION array, dimension (LDA,M)
On entry, the N-by-M matrix A.
On exit, the upper triangular part of the array A contains
the M-by-M upper triangular matrix R.

LDA


LDA is INTEGER
The leading dimension of the array A. LDA >= max(1,N).

B


B is DOUBLE PRECISION array, dimension (LDB,P)
On entry, the N-by-P matrix B.
On exit, if N <= P, the upper triangle of the subarray
B(1:N,P-N+1:P) contains the N-by-N upper triangular matrix T;
if N > P, the elements on and above the (N-P)th subdiagonal
contain the N-by-P upper trapezoidal matrix T.

LDB


LDB is INTEGER
The leading dimension of the array B. LDB >= max(1,N).

D


D is DOUBLE PRECISION array, dimension (N)
On entry, D is the left hand side of the GLM equation.
On exit, D is destroyed.

X


X is DOUBLE PRECISION array, dimension (M)

Y


Y is DOUBLE PRECISION array, dimension (P)
On exit, X and Y are the solutions of the GLM problem.

WORK


WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

LWORK


LWORK is 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
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


INFO is INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an illegal value.
= 1: the upper triangular factor R associated with A in the
generalized QR factorization of the pair (A, B) is
singular, so that rank(A) < M; the least squares
solution could not be computed.
= 2: the bottom (N-M) by (N-M) part of the upper trapezoidal
factor T associated with B in the generalized QR
factorization of the pair (A, B) is singular, so that
rank( A B ) < N; the least squares solution could not
be computed.

Author:

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Date:

November 2011

Definition at line 185 of file dggglm.f.

Author

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