dladiv (l) - Linux Manuals

dladiv: performs complex division in real arithmetic a + i*b p + i*q = --------- c + i*d The algorithm is due to Robert L

NAME

DLADIV - performs complex division in real arithmetic a + i*b p + i*q = --------- c + i*d The algorithm is due to Robert L

SYNOPSIS

SUBROUTINE DLADIV(
A, B, C, D, P, Q )

    
DOUBLE PRECISION A, B, C, D, P, Q

PURPOSE

DLADIV performs complex division in real arithmetic in D. Knuth, The art of Computer Programming, Vol.2, p.195

ARGUMENTS

A (input) DOUBLE PRECISION
B (input) DOUBLE PRECISION C (input) DOUBLE PRECISION D (input) DOUBLE PRECISION The scalars a, b, c, and d in the above expression.
P (output) DOUBLE PRECISION
Q (output) DOUBLE PRECISION The scalars p and q in the above expression.

Pages related to dladiv

  • dladiv (3)
  • dla_gbamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
  • dla_gbrcond (l) - DLA_GERCOND Estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = -1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( |inv(A)||A| ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinity-norm condition number
  • dla_gbrfsx_extended (l) - computes ..
  • dla_geamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
  • dla_gercond (l) - DLA_GERCOND estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = -1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( |inv(A)||A| ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinity-norm condition number
  • dla_gerfsx_extended (l) - computes ..
  • dla_lin_berr (l) - DLA_LIN_BERR compute component-wise relative backward error from the formula max(i) ( abs(R(i)) / ( abs(op(A_s))*abs(Y) + abs(B_s) )(i) ) where abs(Z) is the component-wise absolute value of the matrix or vector Z