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https://github.com/QuantumPackage/qp2.git
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Merge branch 'dev-stable' of github.com:QuantumPackage/qp2 into dev-stable
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commit
4190aee606
@ -181,8 +181,8 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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integer :: nbuckets
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nbuckets = 100
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double precision, allocatable :: ED(:)
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double precision, allocatable :: wsum(:)
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allocate(wsum(nbuckets))
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converged = .False.
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Ncomputed = 0_8
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@ -197,7 +197,8 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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iright = Nabc
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integer*8, allocatable :: bounds(:,:)
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allocate (bounds(2,nbuckets))
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allocate(wsum(nbuckets), ED(nbuckets), bounds(2,nbuckets))
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ED(:) = 0.d0
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do isample=1,nbuckets
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eta = 1.d0/dble(nbuckets) * dble(isample)
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ieta = binary_search(waccu,eta,Nabc)
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@ -233,7 +234,7 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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enddo
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! Deterministic part
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if (imin < Nabc) then
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if (imin <= Nabc) then
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ieta=imin
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sampled(ieta) = 0_8
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a = abc(1,ieta)
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@ -254,7 +255,7 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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! Stochastic part
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call random_number(eta)
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do isample=1,nbuckets
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if (imin >= bounds(2,isample)) then
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if (imin > bounds(2,isample)) then
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cycle
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endif
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ieta = binary_search(waccu,(eta + dble(isample-1))/dble(nbuckets),Nabc)+1
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@ -280,7 +281,7 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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enddo
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call wall_time(t01)
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if ((t01-t00 > 1.0d0).or.(imin >= Nabc)) then
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if ((t01-t00 > 1.0d0).or.(imin > Nabc)) then
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!$OMP TASKWAIT
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call wall_time(t01)
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@ -300,8 +301,11 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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do isample=1,nbuckets
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if (imin >= bounds(2,isample)) then
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energy_det = energy_det + sum(memo(bounds(1,isample):bounds(2,isample)))
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if (imin > bounds(2,isample)) then
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if (ED(isample) == 0.d0) then
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ED(isample) = sum(memo(bounds(1,isample):bounds(2,isample)))
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endif
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energy_det = energy_det + ED(isample)
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scale = scale - wsum(isample)
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else
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exit
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@ -310,12 +314,14 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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isample = min(isample,nbuckets)
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do ieta=bounds(1,isample), Nabc
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w = dble(max(sampled(ieta),0_8))
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tmp = w * memo(ieta) * Pabc(ieta)
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ET = ET + tmp
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ET2 = ET2 + tmp * memo(ieta) * Pabc(ieta)
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norm = norm + w
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if (sampled(ieta) < 0_8) cycle
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w = dble(sampled(ieta))
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tmp = w * memo(ieta) * Pabc(ieta)
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ET = ET + tmp
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ET2 = ET2 + tmp * memo(ieta) * Pabc(ieta)
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norm = norm + w
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enddo
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norm = norm/scale
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if (norm > 0.d0) then
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energy_stoch = ET / norm
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@ -327,7 +333,7 @@ subroutine ccsd_par_t_space_stoch(nO,nV,t1,t2,f_o,f_v,v_vvvo,v_vvoo,v_vooo,energ
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print '('' '',F20.8, '' '', ES12.4,'' '', F8.2,'' '')', eccsd+energy, dsqrt(variance/(norm-1.d0)), 100.*real(Ncomputed)/real(Nabc)
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endif
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!$OMP END MASTER
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if (imin >= Nabc) exit
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if (imin > Nabc) exit
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enddo
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!$OMP END PARALLEL
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@ -139,7 +139,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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integer :: iter2, itertot
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double precision, allocatable :: y(:,:), h(:,:), h_p(:,:), lambda(:), s2(:)
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real, allocatable :: y_s(:,:)
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double precision, allocatable :: s_(:,:), s_tmp(:,:)
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double precision, allocatable :: s_(:,:), s_tmp(:,:), prev_y(:,:)
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double precision :: diag_h_mat_elem
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double precision, allocatable :: residual_norm(:)
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character*(16384) :: write_buffer
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@ -288,6 +288,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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h(N_st_diag*itermax,N_st_diag*itermax), &
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! h_p(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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prev_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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@ -301,6 +302,10 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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s_ = 0.d0
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s_tmp = 0.d0
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prev_y = 0.d0
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do i = 1, N_st_diag*itermax
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prev_y(i,i) = 1d0
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enddo
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ASSERT (N_st > 0)
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ASSERT (N_st_diag >= N_st)
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@ -479,6 +484,10 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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if (info > 0) then
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! Numerical errors propagate. We need to reduce the number of iterations
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itermax = iter-1
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! eigenvectors of the previous iteration
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y = prev_y
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shift2 = shift2 - N_st_diag
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exit
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endif
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@ -553,7 +562,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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do l = 1, N_st
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do k = 1, N_st_diag
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do i = 1, sze
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overlp(k+j-1,l) += U(i,l) * U(i,shift2+k)
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overlp(k+j-1,l) += u_in(i,l) * U(i,shift2+k)
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enddo
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enddo
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enddo
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@ -576,7 +585,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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enddo
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! Maximum overlap
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if (dabs(overlp(k,l)) > omax .and. .not. used .and. state_ok(k)) then
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if ((dabs(overlp(k,l)) > omax) .and. (.not. used) .and. state_ok(k)) then
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omax = dabs(overlp(k,l))
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idx = k
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endif
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@ -615,6 +624,9 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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endif
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enddo
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! Swapped eigenvectors
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prev_y = y
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! if (state_following) then
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!
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! overlap = -1.d0
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@ -677,7 +689,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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do i=1,sze
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U(i,shift2+k) = &
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(lambda(k) * U(i,shift2+k) - W(i,shift2+k) ) &
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/max(H_jj(i) - lambda (k),1.d-2)
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/max(dabs(H_jj(i) - lambda (k)),1.d-2) * dsign(1d0,H_jj(i) - lambda (k))
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enddo
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if (k <= N_st) then
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@ -792,7 +804,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
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residual_norm, &
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U, overlap, &
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h, y_s, S_d, &
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y, s_, s_tmp, &
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y, s_, s_tmp, prev_y, &
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lambda &
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)
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FREE nthreads_davidson
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