Package ffx.potential.bonded
Interface LambdaInterface
- All Known Implementing Classes:
AngleTorsion
,ANIEnergy
,COMRestraint
,DualTopologyEnergy
,ForceFieldEnergy
,GeneralizedKirkwood
,NCSRestraint
,OpenMMEnergy
,OrthogonalSpaceTempering
,ParticleMeshEwald
,PiOrbitalTorsion
,QuadTopologyEnergy
,RealSpaceEnergy
,RefinementEnergy
,RestrainDistance
,RestrainPosition
,RestraintTorsion
,StretchTorsion
,Torsion
,TorsionTorsion
,VanDerWaals
,VanDerWaalsTornado
,XRayEnergy
public interface LambdaInterface
The LambdaInterface should be implemented by potential energy terms that can accept a lambda
value from [0 .. 1] that defines a twice differentiable path between states 0 and 1.
- Since:
- 1.0
- Author:
- Michael J. Schnieders
-
Method Summary
Modifier and TypeMethodDescriptiondefault boolean
Returns true if dUdL is guaranteed to be zero at 0 and 1.double
Get the 2nd partial derivative of the energy with respect to lambda.double
getdEdL()
Get the partial derivative of the energy with respect to lambda.void
getdEdXdL
(double[] gradient) Get the gradient of dEdL with respect to each parameter.double
Get the current value of the state variable.void
setLambda
(double lambda) Set the current value of the state variable.
-
Method Details
-
dEdLZeroAtEnds
default boolean dEdLZeroAtEnds()Returns true if dUdL is guaranteed to be zero at 0 and 1. Default implementation is to return false.- Returns:
- True if dUdL is guaranteed 0 at endpoints.
-
getLambda
double getLambda()Get the current value of the state variable.- Returns:
- state
- Since:
- 1.0
-
setLambda
void setLambda(double lambda) Set the current value of the state variable. May be ignored if lambda is not being applied.- Parameters:
lambda
- a double.- Since:
- 1.0
-
getd2EdL2
double getd2EdL2()Get the 2nd partial derivative of the energy with respect to lambda.- Returns:
- d2EdL2
- Since:
- 1.0
-
getdEdL
double getdEdL()Get the partial derivative of the energy with respect to lambda.- Returns:
- dEdL
- Since:
- 1.0
-
getdEdXdL
void getdEdXdL(double[] gradient) Get the gradient of dEdL with respect to each parameter.- Parameters:
gradient
- - A double array of length the number of parameters in the model (commonly 3 * number of atoms).- Since:
- 1.0
-