perf(polin3): switch to lagrange-weight tensor contraction
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@@ -1244,6 +1244,41 @@ end subroutine d2dump
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return
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end subroutine polint
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!------------------------------------------------------------------------------
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! Compute Lagrange interpolation basis weights for one target point.
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!------------------------------------------------------------------------------
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!DIR$ ATTRIBUTES FORCEINLINE :: polint_lagrange_weights
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subroutine polint_lagrange_weights(xa, x, w, ordn)
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implicit none
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integer, intent(in) :: ordn
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real*8, dimension(1:ordn), intent(in) :: xa
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real*8, intent(in) :: x
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real*8, dimension(1:ordn), intent(out) :: w
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integer :: i, j
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real*8 :: num, den, dx
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do i = 1, ordn
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num = 1.d0
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den = 1.d0
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do j = 1, ordn
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if (j /= i) then
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dx = xa(i) - xa(j)
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if (dx == 0.0d0) then
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write(*,*) 'failure in polint for point',x
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write(*,*) 'with input points: ',xa
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stop
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end if
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num = num * (x - xa(j))
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den = den * dx
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end if
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end do
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w(i) = num / den
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end do
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return
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end subroutine polint_lagrange_weights
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!------------------------------------------------------------------------------
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!
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! interpolation in 2 dimensions, follow yx order
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!
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@@ -1314,19 +1349,26 @@ end subroutine d2dump
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end do
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call polint(x1a,ymtmp,x1,y,dy,ordn)
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#else
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integer :: j, k
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real*8, dimension(ordn,ordn) :: yatmp
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integer :: i, j, k
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real*8, dimension(ordn) :: w1, w2
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real*8, dimension(ordn) :: ymtmp
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real*8 :: dy_temp
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real*8 :: yx_sum, x_sum
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do k=1,ordn
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do j=1,ordn
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call polint(x1a, ya(:,j,k), x1, yatmp(j,k), dy_temp, ordn)
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call polint_lagrange_weights(x1a, x1, w1, ordn)
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call polint_lagrange_weights(x2a, x2, w2, ordn)
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do k = 1, ordn
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yx_sum = 0.d0
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do j = 1, ordn
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x_sum = 0.d0
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do i = 1, ordn
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x_sum = x_sum + w1(i) * ya(i,j,k)
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end do
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yx_sum = yx_sum + w2(j) * x_sum
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end do
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ymtmp(k) = yx_sum
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end do
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do k=1,ordn
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call polint(x2a, yatmp(:,k), x2, ymtmp(k), dy_temp, ordn)
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end do
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call polint(x3a, ymtmp, x3, y, dy, ordn)
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#endif
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