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complib/dormhr(3) -- overwrite the general real M-by-N matrix C with SIDE = 'L' SIDE = 'R' TRANS = 'N'
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DORMHR overwrites the general real M-by-N matrix C with TRANS = 'T': Q**T * C C * Q**T where Q is a real orthogonal matrix of order nq, with nq = m if SIDE = 'L' and nq = n if SIDE = 'R'. Q is defined as the product of IHI-ILO elementary reflectors, as returned by DGEHRD: Q = H(ilo) H(ilo+1) . . . H(ihi-1). |
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complib/dorml2(3) -- overwrite the general real m by n matrix C with Q * C if SIDE = 'L' and TRANS = 'N', or Q'* C if SIDE = 'L' an
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DORML2 overwrites the general real m by n matrix C with where Q is a real orthogonal matrix defined as the product of k elementary reflectors Q = H(k) . . . H(2) H(1) as returned by DGELQF. Q is of order m if SIDE = 'L' and of order n if SIDE = 'R'. |
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complib/dormlq(3) -- overwrite the general real M-by-N matrix C with SIDE = 'L' SIDE = 'R' TRANS = 'N'
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DORMLQ overwrites the general real M-by-N matrix C with TRANS = 'T': Q**T * C C * Q**T where Q is a real orthogonal matrix defined as the product of k elementary reflectors Q = H(k) . . . H(2) H(1) as returned by DGELQF. Q is of order M if SIDE = 'L' and of order N if SIDE = 'R'. |
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complib/dormql(3) -- overwrite the general real M-by-N matrix C with SIDE = 'L' SIDE = 'R' TRANS = 'N'
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DORMQL overwrites the general real M-by-N matrix C with TRANS = 'T': Q**T * C C * Q**T where Q is a real orthogonal matrix defined as the product of k elementary reflectors Q = H(k) . . . H(2) H(1) as returned by DGEQLF. Q is of order M if SIDE = 'L' and of order N if SIDE = 'R'. |
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complib/dormqr(3) -- overwrite the general real M-by-N matrix C with SIDE = 'L' SIDE = 'R' TRANS = 'N'
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DORMQR overwrites the general real M-by-N matrix C with TRANS = 'T': Q**T * C C * Q**T where Q is a real orthogonal matrix defined as the product of k elementary reflectors Q = H(1) H(2) . . . H(k) as returned by DGEQRF. Q is of order M if SIDE = 'L' and of order N if SIDE = 'R'. |
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complib/dormr2(3) -- overwrite the general real m by n matrix C with Q * C if SIDE = 'L' and TRANS = 'N', or Q'* C if SIDE = 'L' an
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DORMR2 overwrites the general real m by n matrix C with where Q is a real orthogonal matrix defined as the product of k elementary reflectors Q = H(1) H(2) . . . H(k) as returned by DGERQF. Q is of order m if SIDE = 'L' and of order n if SIDE = 'R'. |
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complib/dormrq(3) -- overwrite the general real M-by-N matrix C with SIDE = 'L' SIDE = 'R' TRANS = 'N'
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DORMRQ overwrites the general real M-by-N matrix C with TRANS = 'T': Q**T * C C * Q**T where Q is a real orthogonal matrix defined as the product of k elementary reflectors Q = H(1) H(2) . . . H(k) as returned by DGERQF. Q is of order M if SIDE = 'L' and of order N if SIDE = 'R'. |
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complib/dormtr(3) -- overwrite the general real M-by-N matrix C with SIDE = 'L' SIDE = 'R' TRANS = 'N'
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DORMTR overwrites the general real M-by-N matrix C with TRANS = 'T': Q**T * C C * Q**T where Q is a real orthogonal matrix of order nq, with nq = m if SIDE = 'L' and nq = n if SIDE = 'R'. Q is defined as the product of nq-1 elementary reflectors, as returned by DSYTRD: if UPLO = 'U', Q = H(nq-1) . . . H(2) H(1); if UPLO = 'L', Q = H(1) H(2) . . . H(nq-1). |
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libblas/dot(3) -- BLAS level ONE, dot product functions FORTRAN 77 SYNOPSIS double precision ddot( n, x, incx, y, incy ) integer
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ddot, sdot, zdotc, and cdotc compute the dot product of vector x and vector y. dot <--- transpose( x ) . y zdotu, and cdotu compute the hermitian dot product of vector x and vector y. dot <--- transpose( conjg( x ) ) . y incx and incy specify the increment between two consecutive elements of respectively vector x and y. |
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f90/dot_product(3) -- Performs dot-product multiplication of numeric or logical vectors
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UNICOS, UNICOS/mk, and IRIX systems |
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standard/doublebuffer(3) -- sets the display mode to double buffer mode
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none |
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Tk/dowhenidle(3) -- invoke a procedure when there are no pending events
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Tk_IdleProc *proc (in) Procedure to invoke. ClientData clientData (in) Arbitrary one-word value to pass to proc. |
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complib/DPBCO(3) -- DPBCO factors a double precision symmetric positive definite matrix stored in band form and estimates the cond
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On Entry ABD DOUBLE PRECISION(LDA, N) the matrix to be factored. The columns of the upper triangle are stored in the columns of ABD and the diagonals of the upper triangle are stored in the rows of ABD . See the comments below for details. LDA INTEGER the leading dimension of the array ABD . LDA must be .GE. M + 1 . N INTEGER the order of the matrix A . M INTEGER the number of diagonals above the main diagonal. 0 .LE. M .LT. N . On Return ABD an upper triangular matrix R , stored in band form, s... |
