Class : AbstractLanczosAlgorithm
~AbstractLanczosAlgorithm :
prototype: virtual ~AbstractLanczosAlgorithm ()
description:destructor
SetHamiltonian :
prototype: virtual void SetHamiltonian (AbstractHamiltonian* hamiltonian )
description:Set Hamiltonian on which Lanczos algorithm will be applied
input parameters:
hamiltonian = Hamiltonian to use
InitializeLanczosAlgorithm :
prototype: virtual void InitializeLanczosAlgorithm ()
description:initialize Lanczos algorithm with a random vector
InitializeLanczosAlgorithm :
prototype: virtual void InitializeLanczosAlgorithm (const Vector& vector )
description:initialize Lanczos algorithm with a given vector
input parameters:
vector = reference to the vector used as first step vector
ResumeLanczosAlgorithm :
prototype: virtual void ResumeLanczosAlgorithm ()
description:resume Lanczos algorithm from disk datas in current directory
GetGroundState :
prototype: virtual Vector& GetGroundState ()
description:get ground state
input parameters:
return value: reference on ground state
GetGroundStateEnergy :
prototype: virtual double GetGroundStateEnergy ()
description:get ground state energy
input parameters:
return value: ground state energy
GetEigenstates :
prototype: virtual Vector* GetEigenstates (int nbrEigenstates )
description:get the n first eigenstates
input parameters:
nbrEigenstates = number of needed eigenstates
return value: array containing the eigenstates
RunLanczosAlgorithm :
prototype: virtual void RunLanczosAlgorithm (int nbrIter )
description:run current Lanczos algorithm (continue from previous results if Lanczos algorithm has already been run)
input parameters:
nbrIter = number of iteration to do
GetDiagonalizedMatrix :
prototype: virtual RealTriDiagonalSymmetricMatrix& GetDiagonalizedMatrix ()
description:get current diagonalized matrix
input parameters:
return value: reference on current diagonalized matrix
TestConvergence :
prototype: virtual bool TestConvergence ()
description:test if convergence has been reached
input parameters:
return value: true if convergence has been reached
SetEigenvaluePrecision :
prototype: virtual void SetEigenvaluePrecision (double precision )
description:set precision needed for eigenvalues
input parameters:
precision = precision needed for eigenvalues
SetEigenvectorPrecision :
prototype: virtual void SetEigenvectorPrecision (double precision )
description:set precision needed for eigenvectors
input parameters:
precision = precision needed for eigenvectors
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