pism::inverse Namespace Reference

Inverse modeling code. More...

Classes
class	IP_H1NormFunctional2S
	Implements a functional corresponding to (the square of) an \(H^1\) norm of a scalar valued function. More...
class	IP_L2NormFunctional2S
	Implements a functional corresponding to (the square of) an \(L^2\) norm of a scalar valued function. More...
class	IP_L2NormFunctional2V
	Implements a functional corresponding to (the square of) an \(L^2\) norm of a vector valued function. More...
class	IP_SSAHardavForwardProblem
	Implements the forward problem of the map taking \(\tau_c\) to the corresponding solution of the SSA. More...
class	IP_SSAHardavTaoTikhonovProblem
	Defines an IPTaoTikhonovProblem for inversion of basal yeild stresses \(\tau_c\) from SSA velocities. More...
class	IP_SSATaucForwardProblem
	Implements the forward problem of the map taking \(\tau_c\) to the corresponding solution of the SSA. More...
class	IP_SSATaucTaoTikhonovProblem
	Defines an IPTaoTikhonovProblem for inversion of basal yeild stresses \(\tau_c\) from SSA velocities. More...
class	IP_SSATaucTaoTikhonovProblemLCL
	Defines a Tikhonov minimization problem of determining \(\tau_c\) from SSA velocities to be solved with a TaoBasicSolver using the tao_lcl algorithm. More...
class	IP_SSATaucTaoTikhonovProblemLCLListener
	Iteration callback class for IP_SSATaucTaoTikhonovProblemLCL. More...
class	IP_SSATaucTikhonovGNSolver
class	IPDesignVariableParameterization
class	IPDesignVariableParamExp
	Parameterization \(\tau_c=\tau_{\rm scale}g(\zeta)\) with \(g(\zeta)=\exp(\zeta)\). More...
class	IPDesignVariableParamIdent
	Parameterization \(d=d_{\rm scale}g(\zeta)\) with \(g(\zeta)=\zeta\). More...
class	IPDesignVariableParamSquare
	Parameterization \(\tau_c=\tau_{\rm scale}g(\zeta)\) with \(g(\zeta)=\zeta^2\). More...
class	IPDesignVariableParamTruncatedIdent
	A monotone non-negative parameterization \(\tau_c=\tau_{\rm scale}g(\zeta)\) that is approximately the identity away from small values of \(\tau_c\). More...
class	IPFunctional
	Abstract base class for functions from ice model vectors to \(\mathbb{R}\). More...
class	IPGroundedIceH1NormFunctional2S
	Implements a functional corresponding to (the square of) an \(H^1\) norm of a scalar valued function over a region with only grounded ice. More...
class	IPInnerProductFunctional
	Abstract base class for IPFunctionals arising from an inner product. More...
class	IPLogRatioFunctional
	Implements a functional for log-ratio errors. More...
class	IPLogRelativeFunctional
	Implements a functional for log-relative errors. More...
class	IPMeanSquareFunctional2S
	Implements a functional corresponding to a (possibly weighted) sum of squares of components of an array::Scalar. More...
class	IPMeanSquareFunctional2V
	Implements a functional corresponding to a (possibly weighted) sum of squares of components of an array::Scalar. More...
class	IPTaoTikhonovProblem
	Defines a Tikhonov minimization problem to be solved with a TaoBasicSolver. More...
class	IPTaoTikhonovProblemListener
	Iteration callback class for IPTaoTikhonovProblem. More...
class	IPTotalVariationFunctional2S
	Pseduo total variation functional. More...
class	IPTwoBlockVec
class	MatrixMultiplyCallback

Typedefs
typedef array::Scalar	DesignVec
typedef array::Vector	StateVec

Functions
void	gradientFD (IPFunctional< array::Scalar > &f, array::Scalar &x, array::Scalar &gradient)
	Computes finite difference approximations of a IPFunctional<array::Scalar> gradient.
void	gradientFD (IPFunctional< array::Vector > &f, array::Vector &x, array::Vector &gradient)
	Computes finite difference approximations of a IPFunctional<array::Vector> gradient.

Detailed Description

Inverse modeling code.