Base classes for CVs, functions, biases, etc.

Classes
class	PLMD::multicolvar::ActionVolume
	This is the abstract base class to use for implementing a new way of definining a particular region of the simulation box. More...
class	PLMD::vesselbase::ActionWithAveraging
	This abstract base class should be used if you are writing some method that calculates an "average" from a set of trajectory frames. More...
class	PLMD::ActionWithVirtualAtom
	Inherit from here if you are calculating the position of a virtual atom (eg a center of mass) More...
class	PLMD::analysis::AnalysisBase
	This is the abstract base class to use for implementing new methods for analyzing the trajectory. More...
class	PLMD::bias::Bias
	This is the abstract base class to use for implementing new simulation biases, within it there is information as to how to go about implementing a new bias. More...
class	PLMD::CLTool
	This is the abstract base class to use for implementing new command line tool, within it there is information as to how to go about implemneting a new tool. More...
class	PLMD::Colvar
	This is the abstract base class to use for implementing new collective variables, within it there is information as to how to go about implementing a new CV. More...
class	PLMD::function::Function
	This is the abstract base class to use for implementing new CV function, within it there is information as to how to go about implementing a new function. More...
class	PLMD::isdb::MetainferenceBase
	This is the abstract base class to use for implementing new ISDB Metainference actions, within it there is information as to how to go about implementing a new Metainference action. More...
class	PLMD::multicolvar::MultiColvarFilter
	This is the abstract base class to use for implementing a new way of filtering collective variable values to see whether or not they are within a certain range More...
class	PLMD::ReferenceConfiguration
	Abstract base class for calculating the distance from a reference configuration. More...
class	PLMD::ves::VesBias
	Abstract base class for implementing biases the extents the normal Bias.h class to include functions related to the variational approach. More...

Detailed Description

Classes which can be used to create CVs, functions, biases and so on.

The typical way to add a new feature to plumed is to create a new class which just inherits from one of the classes of this group. For example, a new collective variable can be created by inheriting from PLMD::Colvar. Most of the Classes providing input directives are based on classes from this group.

To add a class to this group, just put a

\ingroup INHERIT

statement somewhere inside the header.