documenting parameters
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@ -724,7 +724,7 @@ subroutine constitutive_collectDotState(S, FArray, Fi, FpArray, subdt, ipc, ip,
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real(pReal), intent(in) :: &
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subdt !< timestep
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real(pReal), intent(in), dimension(3,3,homogenization_maxNgrains,discretization_nIP,discretization_nElem) :: &
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FArray, & !< elastic deformation gradient
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FArray, & !< elastic deformation gradient
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FpArray !< plastic deformation gradient
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real(pReal), intent(in), dimension(3,3) :: &
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Fi !< intermediate deformation gradient
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96
src/math.f90
96
src/math.f90
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@ -694,8 +694,8 @@ end function math_9to33
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pure function math_sym33to6(m33,weighted)
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real(pReal), dimension(6) :: math_sym33to6
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real(pReal), dimension(3,3), intent(in) :: m33 !< symmetric matrix (no internal check)
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(3,3), intent(in) :: m33 !< symmetric 3x3 matrix (no internal check)
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(6) :: w
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integer :: i
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@ -722,8 +722,8 @@ end function math_sym33to6
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pure function math_6toSym33(v6,weighted)
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real(pReal), dimension(3,3) :: math_6toSym33
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real(pReal), dimension(6), intent(in) :: v6
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(6), intent(in) :: v6 !< 6 vector
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(6) :: w
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integer :: i
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@ -780,13 +780,13 @@ end function math_99to3333
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!> @brief convert symmetric 3333 matrix into 66 matrix
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!> @details Weighted conversion (default) rearranges according to Nye and weights shear
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! components according to Mandel. Advisable for matrix operations.
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! Unweighted conversion only changes order according to Nye
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! Unweighted conversion only rearranges order according to Nye
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!--------------------------------------------------------------------------------------------------
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pure function math_sym3333to66(m3333,weighted)
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real(pReal), dimension(6,6) :: math_sym3333to66
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real(pReal), dimension(3,3,3,3), intent(in) :: m3333 !< symmetric matrix (no internal check)
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(3,3,3,3), intent(in) :: m3333 !< symmetric 3x3x3x3 matrix (no internal check)
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(6) :: w
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integer :: i,j
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@ -808,13 +808,13 @@ end function math_sym3333to66
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!> @brief convert 66 matrix into symmetric 3333 matrix
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!> @details Weighted conversion (default) rearranges according to Nye and weights shear
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! components according to Mandel. Advisable for matrix operations.
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! Unweighted conversion only changes order according to Nye
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! Unweighted conversion only rearranges order according to Nye
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!--------------------------------------------------------------------------------------------------
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pure function math_66toSym3333(m66,weighted)
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real(pReal), dimension(3,3,3,3) :: math_66toSym3333
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real(pReal), dimension(6,6), intent(in) :: m66
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(6,6), intent(in) :: m66 !< 6x6 matrix
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logical, optional, intent(in) :: weighted !< weight according to Mandel (.true. by default)
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real(pReal), dimension(6) :: w
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integer :: i,j
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@ -841,7 +841,7 @@ end function math_66toSym3333
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pure function math_Voigt66to3333(m66)
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real(pReal), dimension(3,3,3,3) :: math_Voigt66to3333
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real(pReal), dimension(6,6), intent(in) :: m66
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real(pReal), dimension(6,6), intent(in) :: m66 !< 6x6 matrix
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integer :: i,j
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do i=1,6; do j=1, 6
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@ -859,9 +859,10 @@ end function math_Voigt66to3333
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!--------------------------------------------------------------------------------------------------
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real(pReal) function math_sampleGaussVar(meanvalue, stddev, width)
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real(pReal), intent(in) :: meanvalue, & ! meanvalue of gauss distribution
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stddev ! standard deviation of gauss distribution
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real(pReal), intent(in), optional :: width ! width of considered values as multiples of standard deviation
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real(pReal), intent(in) :: meanvalue, & !< meanvalue of gauss distribution
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stddev !< standard deviation of gauss distribution
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real(pReal), intent(in), optional :: width !< width of considered values as multiples of standard deviation
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real(pReal), dimension(2) :: rnd ! random numbers
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real(pReal) :: scatter, & ! normalized scatter around meanvalue
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width_
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@ -893,9 +894,10 @@ end function math_sampleGaussVar
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!--------------------------------------------------------------------------------------------------
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subroutine math_eigh(m,w,v,error)
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real(pReal), dimension(:,:), intent(in) :: m
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real(pReal), dimension(size(m,1)), intent(out) :: w
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real(pReal), dimension(size(m,1),size(m,1)), intent(out) :: v
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real(pReal), dimension(:,:), intent(in) :: m !< quadratic matrix to compute eigenvectors and values of
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real(pReal), dimension(size(m,1)), intent(out) :: w !< eigenvalues
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real(pReal), dimension(size(m,1),size(m,1)), intent(out) :: v !< eigenvectors
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logical, intent(out) :: error
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integer :: ierr
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real(pReal), dimension((64+2)*size(m,1)) :: work ! block size of 64 taken from http://www.netlib.org/lapack/double/dsyev.f
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@ -919,9 +921,10 @@ end subroutine math_eigh
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!--------------------------------------------------------------------------------------------------
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subroutine math_eigh33(m,w,v)
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real(pReal), dimension(3,3),intent(in) :: m
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real(pReal), dimension(3), intent(out) :: w
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real(pReal), dimension(3,3),intent(out) :: v
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real(pReal), dimension(3,3),intent(in) :: m !< 3x3 matrix to compute eigenvectors and values of
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real(pReal), dimension(3), intent(out) :: w !< eigenvalues
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real(pReal), dimension(3,3),intent(out) :: v !< eigenvectors
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real(pReal) :: T, U, norm, threshold
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logical :: error
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@ -963,9 +966,10 @@ end subroutine math_eigh33
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!--------------------------------------------------------------------------------------------------
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pure function math_eigenvectorBasisSym33(m)
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real(pReal), dimension(3,3) :: math_eigenvectorBasisSym33
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real(pReal), dimension(3) :: invariants, values
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real(pReal), dimension(3,3), intent(in) :: m
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real(pReal), dimension(3,3) :: math_eigenvectorBasisSym33
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real(pReal), dimension(3,3), intent(in) :: m !< quadratic matrix of which the eigenvector basis is computed
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real(pReal), dimension(3) :: invariants, v
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real(pReal) :: P, Q, rho, phi
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real(pReal), parameter :: TOL=1.e-14_pReal
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real(pReal), dimension(3,3,3) :: N, EB
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@ -977,7 +981,7 @@ pure function math_eigenvectorBasisSym33(m)
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Q = -2.0_pReal/27.0_pReal*invariants(1)**3.0_pReal+product(invariants(1:2))/3.0_pReal-invariants(3)
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threeSimilarEigenvalues: if(all(abs([P,Q]) < TOL)) then
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values = invariants(1)/3.0_pReal
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v = invariants(1)/3.0_pReal
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! this is not really correct, but at least the basis is correct
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EB(1,1,1)=1.0_pReal
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EB(2,2,2)=1.0_pReal
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@ -985,39 +989,38 @@ pure function math_eigenvectorBasisSym33(m)
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else threeSimilarEigenvalues
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rho=sqrt(-3.0_pReal*P**3.0_pReal)/9.0_pReal
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phi=acos(math_clip(-Q/rho*0.5_pReal,-1.0_pReal,1.0_pReal))
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values = 2.0_pReal*rho**(1.0_pReal/3.0_pReal)* &
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[cos(phi/3.0_pReal), &
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cos((phi+2.0_pReal*PI)/3.0_pReal), &
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cos((phi+4.0_pReal*PI)/3.0_pReal) &
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] + invariants(1)/3.0_pReal
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N(1:3,1:3,1) = m-values(1)*math_I3
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N(1:3,1:3,2) = m-values(2)*math_I3
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N(1:3,1:3,3) = m-values(3)*math_I3
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twoSimilarEigenvalues: if(abs(values(1)-values(2)) < TOL) then
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v = 2.0_pReal*rho**(1.0_pReal/3.0_pReal)* [cos(phi/3.0_pReal), &
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cos((phi+2.0_pReal*PI)/3.0_pReal), &
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cos((phi+4.0_pReal*PI)/3.0_pReal) &
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] + invariants(1)/3.0_pReal
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N(1:3,1:3,1) = m-v(1)*math_I3
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N(1:3,1:3,2) = m-v(2)*math_I3
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N(1:3,1:3,3) = m-v(3)*math_I3
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twoSimilarEigenvalues: if(abs(v(1)-v(2)) < TOL) then
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EB(1:3,1:3,3)=matmul(N(1:3,1:3,1),N(1:3,1:3,2))/ &
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((values(3)-values(1))*(values(3)-values(2)))
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((v(3)-v(1))*(v(3)-v(2)))
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EB(1:3,1:3,1)=math_I3-EB(1:3,1:3,3)
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elseif(abs(values(2)-values(3)) < TOL) then twoSimilarEigenvalues
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elseif(abs(v(2)-v(3)) < TOL) then twoSimilarEigenvalues
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EB(1:3,1:3,1)=matmul(N(1:3,1:3,2),N(1:3,1:3,3))/ &
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((values(1)-values(2))*(values(1)-values(3)))
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((v(1)-v(2))*(v(1)-v(3)))
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EB(1:3,1:3,2)=math_I3-EB(1:3,1:3,1)
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elseif(abs(values(3)-values(1)) < TOL) then twoSimilarEigenvalues
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elseif(abs(v(3)-v(1)) < TOL) then twoSimilarEigenvalues
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EB(1:3,1:3,2)=matmul(N(1:3,1:3,1),N(1:3,1:3,3))/ &
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((values(2)-values(1))*(values(2)-values(3)))
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((v(2)-v(1))*(v(2)-v(3)))
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EB(1:3,1:3,1)=math_I3-EB(1:3,1:3,2)
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else twoSimilarEigenvalues
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EB(1:3,1:3,1)=matmul(N(1:3,1:3,2),N(1:3,1:3,3))/ &
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((values(1)-values(2))*(values(1)-values(3)))
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((v(1)-v(2))*(v(1)-v(3)))
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EB(1:3,1:3,2)=matmul(N(1:3,1:3,1),N(1:3,1:3,3))/ &
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((values(2)-values(1))*(values(2)-values(3)))
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((v(2)-v(1))*(v(2)-v(3)))
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EB(1:3,1:3,3)=matmul(N(1:3,1:3,1),N(1:3,1:3,2))/ &
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((values(3)-values(1))*(values(3)-values(2)))
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((v(3)-v(1))*(v(3)-v(2)))
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endif twoSimilarEigenvalues
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endif threeSimilarEigenvalues
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math_eigenvectorBasisSym33 = sqrt(values(1)) * EB(1:3,1:3,1) &
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+ sqrt(values(2)) * EB(1:3,1:3,2) &
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+ sqrt(values(3)) * EB(1:3,1:3,3)
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math_eigenvectorBasisSym33 = sqrt(v(1)) * EB(1:3,1:3,1) &
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+ sqrt(v(2)) * EB(1:3,1:3,2) &
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+ sqrt(v(3)) * EB(1:3,1:3,3)
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end function math_eigenvectorBasisSym33
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@ -1050,8 +1053,9 @@ end function math_rotationalPart33
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!--------------------------------------------------------------------------------------------------
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function math_eigvalsh(m)
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real(pReal), dimension(:,:), intent(in) :: m
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real(pReal), dimension(:,:), intent(in) :: m !< symmetric matrix to compute eigenvalues of
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real(pReal), dimension(size(m,1)) :: math_eigvalsh
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real(pReal), dimension(size(m,1),size(m,1)) :: m_
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integer :: ierr
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real(pReal), dimension((64+2)*size(m,1)) :: work ! block size of 64 taken from http://www.netlib.org/lapack/double/dsyev.f
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@ -1074,7 +1078,7 @@ end function math_eigvalsh
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!--------------------------------------------------------------------------------------------------
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function math_eigvalsh33(m)
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real(pReal), intent(in), dimension(3,3) :: m
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real(pReal), intent(in), dimension(3,3) :: m !< 3x3 symmetric matrix to compute eigenvalues of
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real(pReal), dimension(3) :: math_eigvalsh33,invariants
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real(pReal) :: P, Q, rho, phi
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real(pReal), parameter :: TOL=1.e-14_pReal
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