02-07-2004
First of all, do not cross-post. I have deleted your second post.
The information in that link you posted is mostly garbage. I really shouldn't dignify stupidity like that with a response. But I guess that's the only way to fight ignorance.
The 5100 was wimpy computer even in it's own day. It cannot be used to correct a modern os. It can't even store a copy of a modern os.
The alleged time traveller
states that he travelled back from 2036 to correct a unix problem that will occur in 2038. There are two very well known problems that will need a solution before then, but only one can be called a unix problem and it is nearly solved.
Jan 19, 2036 is 2^31 seconds after the unix epoch and it will overflow a signed 32 bit integer. We are starting to move to 64 bit systems now. Assuming that we retire 32 bit systems by 2038, the problem is solved. HP has stated that this is their solution for HP-UX.
A second problem will arise at the same time with the NTP protocol. The NTP protocol will need to be extended in some way prior to 2036. Admittedly we don't have a definite solution yet, but their have been proposals. I'm confident that we'll settle on a solution by then.
This problem is trivial conpared to y2k. And that was a very minor problem.
But if we fumble somehow, the solution will not involve returning to 1975 to snag an old IBM 5100.
And even if it did, we could not get our computer clocks to work, but we can build a time machine? Whoa....
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CGELS(l) ) CGELS(l)
NAME
CGELS - solve overdetermined or underdetermined complex linear systems involving an M-by-N matrix A, or its conjugate-transpose, using a QR
or LQ factorization of A
SYNOPSIS
SUBROUTINE CGELS( TRANS, M, N, NRHS, A, LDA, B, LDB, WORK, LWORK, INFO )
CHARACTER TRANS
INTEGER INFO, LDA, LDB, LWORK, M, N, NRHS
COMPLEX A( LDA, * ), B( LDB, * ), WORK( * )
PURPOSE
CGELS solves overdetermined or underdetermined complex linear systems involving an M-by-N matrix A, or its conjugate-transpose, using a QR
or LQ factorization of A. It is assumed that A has full rank. The following options are provided:
1. If TRANS = 'N' and m >= n: find the least squares solution of
an overdetermined system, i.e., solve the least squares problem
minimize || B - A*X ||.
2. If TRANS = 'N' and m < n: find the minimum norm solution of
an underdetermined system A * X = B.
3. If TRANS = 'C' and m >= n: find the minimum norm solution of
an undetermined system A**H * X = B.
4. If TRANS = 'C' and m < n: find the least squares solution of
an overdetermined system, i.e., solve the least squares problem
minimize || B - A**H * X ||.
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.
ARGUMENTS
TRANS (input) CHARACTER
= 'N': the linear system involves A;
= 'C': the linear system involves A**H.
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. if M >= N, A is overwritten by details of its QR factorization as returned by CGEQRF; if M < N, A
is overwritten by details of its LQ factorization as returned by CGELQF.
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 matrix B of right hand side vectors, stored columnwise; B is M-by-NRHS if TRANS = 'N', or N-by-NRHS if TRANS = 'C'.
On exit, B is overwritten by the solution vectors, stored columnwise: if TRANS = 'N' and m >= n, rows 1 to n of B contain the least
squares solution vectors; the residual sum of squares for the solution in each column is given by the sum of squares of elements
N+1 to M in that column; if TRANS = 'N' and m < n, rows 1 to N of B contain the minimum norm solution vectors; if TRANS = 'C' and m
>= n, rows 1 to M of B contain the minimum norm solution vectors; if TRANS = 'C' and m < n, rows 1 to M of B contain the least
squares solution vectors; the residual sum of squares for the solution in each column is given by the sum of squares of elements
M+1 to N in that column.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= MAX(1,M,N).
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 >= max( 1, MN + max( MN, NRHS ) ). For optimal performance, LWORK >= max( 1, MN + max( MN,
NRHS )*NB ). where MN = min(M,N) and NB is the optimum block size.
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 CGELS(l)