NeuroLab
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Covariation process. More...
Public Member Functions | |
Covariation (StochasticProcess *x, StochasticProcess *y, string name="", const string &type="Covariation Process") | |
Construct. More... | |
~Covariation () | |
Destruct. | |
void | prepareNextState () |
Calculate next value. More... | |
Public Member Functions inherited from StochasticProcess | |
StochasticProcess (class Time *time, const string &name="", const string &type="Stochastic") | |
Create. | |
virtual | ~StochasticProcess () |
Destroy. | |
virtual void | proceedToNextState () |
Proceed one time step. More... | |
bool | isNextStatePrepared () |
Whether. | |
virtual double | getIncrement () |
Returns the increment. More... | |
virtual double | getCurrentValue () |
Returns the value of the process. More... | |
virtual double | getNextValue () |
Returns the next value of the process. More... | |
virtual void | setNextValue (double d) |
Set the next value of the process. More... | |
virtual void | setCurrentValue (double d) |
Set the current value of the process. More... | |
void | setDescription (string s) |
Set stochastic description. | |
virtual void | init () |
Initialise time-dependent values. | |
string | getDescription () |
Get the name. More... | |
Public Member Functions inherited from Parametric | |
string | getType () const |
Type of object. | |
string | getName () const |
Name of object. | |
void | setName (const string &name) |
Name of object. | |
string | getConfiguration () const |
Returns the configuration of the object. More... | |
string | getAllParameters () const |
String with all parameter settings. | |
void | addParameter (const string &name) |
Add a parameter. More... | |
void | rmParameter (const string &name) |
Remove a parameter. More... | |
virtual void | setParameter (const string &name, const string &value) |
Set parameter. More... | |
virtual string | getParameter (const string &name) const |
Get parameter. More... | |
Public Member Functions inherited from TimeDependent | |
TimeDependent (class Time *time) | |
Construct. More... | |
virtual class Time * | getTime () const |
Return pointer to the time object. | |
Public Member Functions inherited from Physical | |
Physical () | |
Construct. | |
Physical (const Physical &) | |
Copy. | |
Physical (string name) | |
Construct. | |
Physical (string name, string unitPrefix, string unitSymbol) | |
Construct. | |
Physical (string name, Unit unit) | |
Construct. | |
virtual string | getPhysicalDescription () |
Returns the physical description. More... | |
virtual string | getUnitName () |
Returns the unit name. | |
virtual string | getUnitSymbol () |
Returns the unit name. | |
virtual void | setPhysicalDescription (string name) |
Set the name. Same as setDescription(). More... | |
virtual void | setUnit (Unit u) |
Set the unit. | |
virtual void | setUnitPrefix (int n) |
Set unit prefix. More... | |
virtual Unit | getUnit () const |
Retrieve the unit. | |
Additional Inherited Members | |
Protected Member Functions inherited from Parametric | |
Parametric (const string &name, const string &type) | |
Create object of type and name. | |
virtual | ~Parametric () |
Destroy object. | |
Protected Attributes inherited from StochasticProcess | |
double | stochCurrentValue |
the current value | |
double | stochNextValue |
the next value (direct future) | |
bool | stochNextStateIsPrepared |
whether prepareNextState() was successful | |
string | stochDescription |
the name of the quantity | |
Covariation process.
The covariation process of two stochastic processes and is defined as
For deterministic processes this equals zero. The mean of this process is zero, if both processes and are uncorrelated. The mean can be tested using a ProcessEstimator. A covariation process can be used as integrator in differential equations. The Covariation class estimates the covariation process numerically, by using .
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inline |
Construct.
This constructs a covariation prcoess of thwo stochastic processes. The resulting process is active by default, but can be set passive.
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inlinevirtual |
Calculate next value.
If the process is active, this is called automatically. If it is passive, call proceedToNextState() first, and then prepareNextState(), to complete a full step..
Reimplemented from StochasticProcess.