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Working on mrpt
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@ -94,7 +94,6 @@ subroutine davidson_diag_hjj_mrcc(dets_in,u_in,H_jj,energies,dim_in,sze,N_st,N_s
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double precision, allocatable :: overlap(:,:)
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double precision :: u_dot_v, u_dot_u
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integer, allocatable :: kl_pairs(:,:)
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integer :: k_pairs, kl
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integer :: iter2
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@ -144,7 +143,6 @@ subroutine davidson_diag_hjj_mrcc(dets_in,u_in,H_jj,energies,dim_in,sze,N_st,N_s
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sze_8 = align_double(sze)
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allocate( &
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kl_pairs(2,N_st_diag*(N_st_diag+1)/2), &
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W(sze_8,N_st_diag,davidson_sze_max), &
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U(sze_8,N_st_diag,davidson_sze_max), &
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R(sze_8,N_st_diag), &
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@ -360,7 +358,6 @@ subroutine davidson_diag_hjj_mrcc(dets_in,u_in,H_jj,energies,dim_in,sze,N_st,N_s
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call write_time(iunit)
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deallocate ( &
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kl_pairs, &
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W, residual_norm, &
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U, overlap, &
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R, c, &
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@ -649,7 +646,6 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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double precision, allocatable :: overlap(:,:)
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double precision :: u_dot_v, u_dot_u
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integer, allocatable :: kl_pairs(:,:)
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integer :: k_pairs, kl
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integer :: iter2
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@ -661,7 +657,7 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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character*(16384) :: write_buffer
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double precision :: to_print(3,N_st)
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double precision :: cpu, wall
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integer :: shift, shift2
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integer :: shift, shift2, itermax
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include 'constants.include.F'
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!DIR$ ATTRIBUTES ALIGN : $IRP_ALIGN :: U, W, R, S, y, h, lambda
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@ -710,23 +706,30 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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else
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delta = 0.d0
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endif
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allocate( &
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kl_pairs(2,N_st_diag*(N_st_diag+1)/2), &
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W(sze_8,N_st_diag*davidson_sze_max), &
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U(sze_8,N_st_diag*davidson_sze_max), &
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R(sze_8,N_st_diag), &
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S(sze_8,N_st_diag*davidson_sze_max), &
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h(N_st_diag*davidson_sze_max,N_st_diag*davidson_sze_max), &
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y(N_st_diag*davidson_sze_max,N_st_diag*davidson_sze_max), &
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s_(N_st_diag*davidson_sze_max,N_st_diag*davidson_sze_max), &
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s_tmp(N_st_diag*davidson_sze_max,N_st_diag*davidson_sze_max), &
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residual_norm(N_st_diag), &
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overlap(N_st_diag,N_st_diag), &
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c(N_st_diag*davidson_sze_max), &
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s2(N_st_diag*davidson_sze_max), &
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lambda(N_st_diag*davidson_sze_max))
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itermax = min(davidson_sze_max, sze/N_st_diag)
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allocate( &
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W(sze_8,N_st_diag*itermax), &
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U(sze_8,N_st_diag*itermax), &
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S(sze_8,N_st_diag*itermax), &
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h(N_st_diag*itermax,N_st_diag*itermax), &
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y(N_st_diag*itermax,N_st_diag*itermax), &
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s_(N_st_diag*itermax,N_st_diag*itermax), &
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s_tmp(N_st_diag*itermax,N_st_diag*itermax), &
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residual_norm(N_st_diag), &
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c(N_st_diag*itermax), &
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s2(N_st_diag*itermax), &
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lambda(N_st_diag*itermax))
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h = 0.d0
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s_ = 0.d0
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s_tmp = 0.d0
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U = 0.d0
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W = 0.d0
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S = 0.d0
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y = 0.d0
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ASSERT (N_st > 0)
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ASSERT (N_st_diag >= N_st)
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ASSERT (sze > 0)
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@ -738,25 +741,25 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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converged = .False.
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do k=1,N_st
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call normalize(u_in(1,k),sze)
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enddo
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do k=N_st+1,N_st_diag
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double precision :: r1, r2
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do k=N_st+1,N_st_diag-2,2
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do i=1,sze
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double precision :: r1, r2
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call random_number(r1)
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call random_number(r2)
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u_in(i,k) = dsqrt(-2.d0*dlog(r1))*dcos(dtwo_pi*r2)
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r1 = dsqrt(-2.d0*dlog(r1))
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r2 = dtwo_pi*r2
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u_in(i,k) = r1*dcos(r2)
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u_in(i,k+1) = r1*dsin(r2)
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enddo
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enddo
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do k=N_st_diag-1,N_st_diag
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do i=1,sze
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call random_number(r1)
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call random_number(r2)
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r1 = dsqrt(-2.d0*dlog(r1))
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r2 = dtwo_pi*r2
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u_in(i,k) = r1*dcos(r2)
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enddo
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! Gram-Schmidt
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! ------------
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call dgemv('T',sze,k-1,1.d0,u_in,size(u_in,1), &
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u_in(1,k),1,0.d0,c,1)
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call dgemv('N',sze,k-1,-1.d0,u_in,size(u_in,1), &
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c,1,1.d0,u_in(1,k),1)
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call normalize(u_in(1,k),sze)
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enddo
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@ -773,10 +776,10 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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shift = N_st_diag*(iter-1)
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shift2 = N_st_diag*iter
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call ortho_qr(U,size(U,1),sze,shift2)
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! Compute |W_k> = \sum_i |i><i|H|u_k>
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! -----------------------------------------
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call H_S2_u_0_mrcc_nstates(W(1,shift+1),S(1,shift+1),U(1,shift+1),H_jj,S2_jj,sze,dets_in,Nint,&
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istate,N_st_diag,sze_8)
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@ -786,19 +789,6 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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! -------------------------------------------
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! do l=1,N_st_diag
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! do k=1,N_st_diag
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! do iter2=1,iter-1
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! h(k,iter2,l,iter) = u_dot_v(U(1,k,iter2),W(1,l,iter),sze)
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! h(k,iter,l,iter2) = h(k,iter2,l,iter)
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! enddo
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! enddo
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! do k=1,l
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! h(k,iter,l,iter) = u_dot_v(U(1,k,iter),W(1,l,iter),sze)
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! h(l,iter,k,iter) = h(k,iter,l,iter)
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! enddo
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! enddo
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call dgemm('T','N', shift2, N_st_diag, sze, &
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1.d0, U, size(U,1), W(1,shift+1), size(W,1), &
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0.d0, h(1,shift+1), size(h,1))
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@ -829,7 +819,7 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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if (s2_eig) then
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logical :: state_ok(N_st_diag*davidson_sze_max)
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do k=1,shift2
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state_ok(k) = (dabs(s2(k)-expected_s2) < 0.3d0)
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state_ok(k) = (dabs(s2(k)-expected_s2) < 0.6d0)
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enddo
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do k=1,shift2
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if (.not. state_ok(k)) then
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@ -851,22 +841,6 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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! Express eigenvectors of h in the determinant basis
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! --------------------------------------------------
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! do k=1,N_st_diag
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! do i=1,sze
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! U(i,shift2+k) = 0.d0
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! W(i,shift2+k) = 0.d0
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! S(i,shift2+k) = 0.d0
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! enddo
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! do l=1,N_st_diag*iter
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! do i=1,sze
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! U(i,shift2+k) = U(i,shift2+k) + U(i,l)*y(l,k)
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! W(i,shift2+k) = W(i,shift2+k) + W(i,l)*y(l,k)
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! S(i,shift2+k) = S(i,shift2+k) + S(i,l)*y(l,k)
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! enddo
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! enddo
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! enddo
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!
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!
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call dgemm('N','N', sze, N_st_diag, shift2, &
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1.d0, U, size(U,1), y, size(y,1), 0.d0, U(1,shift2+1), size(U,1))
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call dgemm('N','N', sze, N_st_diag, shift2, &
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@ -876,83 +850,39 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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! Compute residual vector
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! -----------------------
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! do k=1,N_st_diag
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! print *, s2(k)
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! s2(k) = u_dot_v(U(1,shift2+k), S(1,shift2+k), sze) + S_z2_Sz
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! print *, s2(k)
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! print *, ''
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! pause
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! enddo
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do k=1,N_st_diag
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do i=1,sze
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R(i,k) = (lambda(k) * U(i,shift2+k) - W(i,shift2+k) ) &
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* (1.d0 + s2(k) * U(i,shift2+k) - S(i,shift2+k) - S_z2_Sz)
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U(i,shift2+k) = (lambda(k) * U(i,shift2+k) - W(i,shift2+k) ) &
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* (1.d0 + s2(k) * U(i,shift2+k) - S(i,shift2+k) - S_z2_Sz &
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)/max(H_jj(i) - lambda (k),1.d-2)
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enddo
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if (k <= N_st) then
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residual_norm(k) = u_dot_u(R(1,k),sze)
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residual_norm(k) = u_dot_u(U(1,shift2+k),sze)
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to_print(1,k) = lambda(k) + nuclear_repulsion
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to_print(2,k) = s2(k)
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to_print(3,k) = residual_norm(k)
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if (residual_norm(k) > 1.e9) then
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stop 'Davidson failed'
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endif
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endif
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enddo
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write(iunit,'(X,I3,X,100(X,F16.10,X,F11.6,X,E11.3))') iter, to_print(:,1:N_st)
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write(iunit,'(X,I3,X,100(X,F16.10,X,F11.6,X,E11.3))') iter, to_print(1:3,1:N_st)
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call davidson_converged(lambda,residual_norm,wall,iter,cpu,N_st,converged)
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do k=1,N_st
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if (residual_norm(k) > 1.e8) then
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print *, ''
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stop 'Davidson failed'
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endif
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enddo
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if (converged) then
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exit
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endif
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! Davidson step
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! -------------
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do k=1,N_st_diag
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do i=1,sze
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U(i,shift2+k) = - R(i,k)/max(H_jj(i) - lambda(k),1.d-2)
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enddo
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enddo
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! Gram-Schmidt
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! ------------
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do k=1,N_st_diag
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! do l=1,N_st_diag*iter
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! c(1) = u_dot_v(U(1,shift2+k),U(1,l),sze)
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! do i=1,sze
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! U(i,k,iter+1) = U(i,shift2+k) - c(1) * U(i,l)
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! enddo
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! enddo
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!
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call dgemv('T',sze,N_st_diag*iter,1.d0,U,size(U,1), &
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U(1,shift2+k),1,0.d0,c,1)
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call dgemv('N',sze,N_st_diag*iter,-1.d0,U,size(U,1), &
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c,1,1.d0,U(1,shift2+k),1)
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!
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! do l=1,k-1
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! c(1) = u_dot_v(U(1,shift2+k),U(1,shift2+l),sze)
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! do i=1,sze
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! U(i,k,iter+1) = U(i,shift2+k) - c(1) * U(i,shift2+l)
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! enddo
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! enddo
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!
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call dgemv('T',sze,k-1,1.d0,U(1,shift2+1),size(U,1), &
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U(1,shift2+k),1,0.d0,c,1)
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call dgemv('N',sze,k-1,-1.d0,U(1,shift2+1),size(U,1), &
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c,1,1.d0,U(1,shift2+k),1)
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call normalize( U(1,shift2+k), sze )
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enddo
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enddo
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if (.not.converged) then
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iter = davidson_sze_max-1
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iter = itermax-1
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endif
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! Re-contract to u_in
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! -----------
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@ -960,15 +890,6 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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energies(k) = lambda(k)
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enddo
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! do k=1,N_st_diag
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! do i=1,sze
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! do l=1,iter*N_st_diag
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! u_in(i,k) += U(i,l)*y(l,k)
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! enddo
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! enddo
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! enddo
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! enddo
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call dgemm('N','N', sze, N_st_diag, N_st_diag*iter, 1.d0, &
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U, size(U,1), y, size(y,1), 0.d0, u_in, size(u_in,1))
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@ -983,7 +904,6 @@ subroutine davidson_diag_hjj_sjj_mrcc(dets_in,u_in,H_jj,S2_jj,energies,dim_in,sz
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call write_time(iunit)
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deallocate ( &
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kl_pairs, &
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W, residual_norm, &
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U, overlap, &
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R, c, S, &
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35
plugins/MRPT_Utils/give_2h2p.irp.f
Normal file
35
plugins/MRPT_Utils/give_2h2p.irp.f
Normal file
@ -0,0 +1,35 @@
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subroutine give_2h2p(contrib_2h2p)
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implicit none
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double precision, intent(out) :: contrib_2h2p(N_states)
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integer :: i,j,k,l,m
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integer :: iorb,jorb,korb,lorb
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double precision :: get_mo_bielec_integral
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double precision :: direct_int,exchange_int
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double precision :: numerator,denominator(N_states)
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contrib_2h2p = 0.d0
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do i = 1, n_inact_orb
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iorb = list_inact(i)
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do j = 1, n_inact_orb
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jorb = list_inact(j)
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do k = 1, n_virt_orb
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korb = list_virt(k)
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do l = 1, n_virt_orb
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lorb = list_virt(l)
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direct_int = get_mo_bielec_integral(iorb,jorb,korb,lorb ,mo_integrals_map)
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exchange_int = get_mo_bielec_integral(iorb,jorb,lorb,korb ,mo_integrals_map)
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numerator = 3.d0 * direct_int*direct_int + exchange_int*exchange_int -2.d0 * exchange_int * direct_int
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do m = 1, N_states
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denominator(m) = fock_core_inactive_total_spin_trace(iorb,m) + fock_core_inactive_total_spin_trace(jorb,m) &
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-fock_virt_total_spin_trace(korb,m) - fock_virt_total_spin_trace(lorb,m)
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contrib_2h2p(m) += numerator / denominator(m)
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enddo
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enddo
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enddo
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enddo
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enddo
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contrib_2h2p = contrib_2h2p*0.5d0
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end
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@ -262,89 +262,87 @@ END_PROVIDER
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print*, 'Davidson not yet implemented for the dressing ... '
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stop
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else if (diag_algorithm == "Lapack") then
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allocate (eigenvectors(size(H_matrix_all_dets,1),N_det))
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allocate (eigenvalues(N_det))
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call lapack_diag(eigenvalues,eigenvectors, &
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Hmatrix_dressed_pt2_new_symmetrized(1,1,1),N_det,N_det)
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CI_electronic_dressed_pt2_new_energy(:) = 0.d0
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if (s2_eig) then
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i_state = 0
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allocate (s2_eigvalues(N_det))
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allocate(index_good_state_array(N_det),good_state_array(N_det))
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good_state_array = .False.
|
||||
do j=1,N_det
|
||||
call get_s2_u0(psi_det,eigenvectors(1,j),N_det,size(eigenvectors,1),s2)
|
||||
s2_eigvalues(j) = s2
|
||||
! Select at least n_states states with S^2 values closed to "expected_s2"
|
||||
if(dabs(s2-expected_s2).le.0.3d0)then
|
||||
i_state +=1
|
||||
index_good_state_array(i_state) = j
|
||||
good_state_array(j) = .True.
|
||||
endif
|
||||
if(i_state.eq.N_states) then
|
||||
exit
|
||||
endif
|
||||
enddo
|
||||
if(i_state .ne.0)then
|
||||
! Fill the first "i_state" states that have a correct S^2 value
|
||||
do j = 1, i_state
|
||||
do i=1,N_det
|
||||
CI_dressed_pt2_new_eigenvectors(i,j) = eigenvectors(i,index_good_state_array(j))
|
||||
enddo
|
||||
CI_electronic_dressed_pt2_new_energy(j) = eigenvalues(index_good_state_array(j))
|
||||
CI_dressed_pt2_new_eigenvectors_s2(j) = s2_eigvalues(index_good_state_array(j))
|
||||
enddo
|
||||
i_other_state = 0
|
||||
do j = 1, N_det
|
||||
if(good_state_array(j))cycle
|
||||
i_other_state +=1
|
||||
if(i_state+i_other_state.gt.n_states_diag)then
|
||||
exit
|
||||
endif
|
||||
call get_s2_u0(psi_det,eigenvectors(1,j),N_det,size(eigenvectors,1),s2)
|
||||
do i=1,N_det
|
||||
CI_dressed_pt2_new_eigenvectors(i,i_state+i_other_state) = eigenvectors(i,j)
|
||||
enddo
|
||||
CI_electronic_dressed_pt2_new_energy(i_state+i_other_state) = eigenvalues(j)
|
||||
CI_dressed_pt2_new_eigenvectors_s2(i_state+i_other_state) = s2
|
||||
enddo
|
||||
|
||||
deallocate(index_good_state_array,good_state_array)
|
||||
else if (diag_algorithm == "Lapack") then
|
||||
|
||||
else
|
||||
print*,''
|
||||
print*,'!!!!!!!! WARNING !!!!!!!!!'
|
||||
print*,' Within the ',N_det,'determinants selected'
|
||||
print*,' and the ',N_states_diag,'states requested'
|
||||
print*,' We did not find any state with S^2 values close to ',expected_s2
|
||||
print*,' We will then set the first N_states eigenvectors of the H matrix'
|
||||
print*,' as the CI_dressed_pt2_new_eigenvectors'
|
||||
print*,' You should consider more states and maybe ask for diagonalize_s2 to be .True. or just enlarge the CI space'
|
||||
print*,''
|
||||
do j=1,min(N_states_diag,N_det)
|
||||
do i=1,N_det
|
||||
CI_dressed_pt2_new_eigenvectors(i,j) = eigenvectors(i,j)
|
||||
enddo
|
||||
CI_electronic_dressed_pt2_new_energy(j) = eigenvalues(j)
|
||||
CI_dressed_pt2_new_eigenvectors_s2(j) = s2_eigvalues(j)
|
||||
allocate (eigenvectors(size(H_matrix_all_dets,1),N_det))
|
||||
allocate (eigenvalues(N_det))
|
||||
call lapack_diag(eigenvalues,eigenvectors, &
|
||||
H_matrix_all_dets,size(H_matrix_all_dets,1),N_det)
|
||||
CI_electronic_energy(:) = 0.d0
|
||||
if (s2_eig) then
|
||||
i_state = 0
|
||||
allocate (s2_eigvalues(N_det))
|
||||
allocate(index_good_state_array(N_det),good_state_array(N_det))
|
||||
good_state_array = .False.
|
||||
call u_0_S2_u_0(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
|
||||
N_det,size(eigenvectors,1))
|
||||
do j=1,N_det
|
||||
! Select at least n_states states with S^2 values closed to "expected_s2"
|
||||
if(dabs(s2_eigvalues(j)-expected_s2).le.0.5d0)then
|
||||
i_state +=1
|
||||
index_good_state_array(i_state) = j
|
||||
good_state_array(j) = .True.
|
||||
endif
|
||||
if(i_state.eq.N_states) then
|
||||
exit
|
||||
endif
|
||||
enddo
|
||||
endif
|
||||
deallocate(s2_eigvalues)
|
||||
else
|
||||
! Select the "N_states_diag" states of lowest energy
|
||||
do j=1,min(N_det,N_states_diag)
|
||||
call get_s2_u0(psi_det,eigenvectors(1,j),N_det,N_det,s2)
|
||||
do i=1,N_det
|
||||
CI_dressed_pt2_new_eigenvectors(i,j) = eigenvectors(i,j)
|
||||
enddo
|
||||
CI_electronic_dressed_pt2_new_energy(j) = eigenvalues(j)
|
||||
CI_dressed_pt2_new_eigenvectors_s2(j) = s2
|
||||
enddo
|
||||
endif
|
||||
deallocate(eigenvectors,eigenvalues)
|
||||
endif
|
||||
if(i_state .ne.0)then
|
||||
! Fill the first "i_state" states that have a correct S^2 value
|
||||
do j = 1, i_state
|
||||
do i=1,N_det
|
||||
CI_eigenvectors(i,j) = eigenvectors(i,index_good_state_array(j))
|
||||
enddo
|
||||
CI_electronic_energy(j) = eigenvalues(index_good_state_array(j))
|
||||
CI_eigenvectors_s2(j) = s2_eigvalues(index_good_state_array(j))
|
||||
enddo
|
||||
i_other_state = 0
|
||||
do j = 1, N_det
|
||||
if(good_state_array(j))cycle
|
||||
i_other_state +=1
|
||||
if(i_state+i_other_state.gt.n_states_diag)then
|
||||
exit
|
||||
endif
|
||||
do i=1,N_det
|
||||
CI_eigenvectors(i,i_state+i_other_state) = eigenvectors(i,j)
|
||||
enddo
|
||||
CI_electronic_energy(i_state+i_other_state) = eigenvalues(j)
|
||||
CI_eigenvectors_s2(i_state+i_other_state) = s2_eigvalues(i_state+i_other_state)
|
||||
enddo
|
||||
|
||||
else
|
||||
print*,''
|
||||
print*,'!!!!!!!! WARNING !!!!!!!!!'
|
||||
print*,' Within the ',N_det,'determinants selected'
|
||||
print*,' and the ',N_states_diag,'states requested'
|
||||
print*,' We did not find any state with S^2 values close to ',expected_s2
|
||||
print*,' We will then set the first N_states eigenvectors of the H matrix'
|
||||
print*,' as the CI_eigenvectors'
|
||||
print*,' You should consider more states and maybe ask for s2_eig to be .True. or just enlarge the CI space'
|
||||
print*,''
|
||||
do j=1,min(N_states_diag,N_det)
|
||||
do i=1,N_det
|
||||
CI_eigenvectors(i,j) = eigenvectors(i,j)
|
||||
enddo
|
||||
CI_electronic_energy(j) = eigenvalues(j)
|
||||
CI_eigenvectors_s2(j) = s2_eigvalues(j)
|
||||
enddo
|
||||
endif
|
||||
deallocate(index_good_state_array,good_state_array)
|
||||
deallocate(s2_eigvalues)
|
||||
else
|
||||
call u_0_S2_u_0(CI_eigenvectors_s2,eigenvectors,N_det,psi_det,N_int,&
|
||||
min(N_det,N_states_diag),size(eigenvectors,1))
|
||||
! Select the "N_states_diag" states of lowest energy
|
||||
do j=1,min(N_det,N_states_diag)
|
||||
do i=1,N_det
|
||||
CI_eigenvectors(i,j) = eigenvectors(i,j)
|
||||
enddo
|
||||
CI_electronic_energy(j) = eigenvalues(j)
|
||||
enddo
|
||||
endif
|
||||
deallocate(eigenvectors,eigenvalues)
|
||||
endif
|
||||
|
||||
|
||||
END_PROVIDER
|
||||
|
Loading…
Reference in New Issue
Block a user