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#include <diagSoftAbsMetric.h>
Public Member Functions | |
diagSoftAbsMetric (int dim) | |
double | T () |
Return the kinetic energy. | |
double | tau () |
Return the quadratic form of the kinetic energy. | |
void | bounceP (const VectorXd &normal) |
void | sampleP (Random &random) |
void | setSoftAbsAlpha (double a) |
Set the SoftAbs regularization coefficient. | |
void | checkEvolution (const double epsilon=1e-6) |
Comparing the evolution implementations with finite differences. | |
void | displayState () |
Display current state. | |
Protected Member Functions | |
virtual void | fComputeDiagH ()=0 |
Compute the diagonal components of the Hessian at the current position. | |
virtual void | fComputeGradDiagH ()=0 |
Compute the gradient of the diagonal Hessian. | |
void | fComputeMetric () |
void | fPrepareSpatialGradients () |
VectorXd & | dTaudp () |
Gradient of the quadrtic form with respect to the momenta. | |
VectorXd & | dTaudq () |
Gradient of the quadratic form with respect to the position. | |
VectorXd & | dPhidq () |
Gradient of the psuedo-potential with respect to the momenta. | |
Protected Attributes | |
double | mSoftAbsAlpha |
Regularization coefficient. | |
VectorXd | mDiagH |
Diagonal components of the Hessian. | |
MatrixXd | mGradDiagH |
Gradient of the diagonal Hessian. | |
VectorXd | mLambda |
Inverse metric. | |
VectorXd | mGradHelper |
Auxiliary vector for intermeidate matrix calculations. |
Abstract base class defining the interface for a Hamiltonian defined on a Riemannian manifold with a diagonal approximation to the SoftAbs Metric
diagSoftAbsMetric::diagSoftAbsMetric | ( | int | dim | ) | [explicit] |
Constructor
dim | Dimension of the target space |
void diagSoftAbsMetric::bounceP | ( | const VectorXd & | normal | ) | [virtual] |
Evolve the momentum through a bounce off of a constraint surface
normal | Vector normal to constraint surface |
Implements baseHamiltonian.
void diagSoftAbsMetric::checkEvolution | ( | const double | epsilon = 1e-6 | ) | [virtual] |
Comparing the evolution implementations with finite differences.
Compare the position and momentum evolution implementations with finite differences
epsilon | Size of finite difference step |
Reimplemented from baseHamiltonian.
void diagSoftAbsMetric::fComputeMetric | ( | ) | [protected, virtual] |
Compute the metric at the current position, performing an eigen decomposition and computing the log determinant
Implements dynamMetric.
void diagSoftAbsMetric::fPrepareSpatialGradients | ( | ) | [inline, protected, virtual] |
Update any position-dependent auxiliary terms in preparation for spatial gradients
Reimplemented from dynamMetric.
void diagSoftAbsMetric::sampleP | ( | Random & | random | ) | [virtual] |
Sample the momentum from the conditional distribution
random | External RandomLib generator |
Implements baseHamiltonian.