Class TimeBoundedJump

Defined in File time_bounded_jump.hpp

Inheritance Relationships

Base Type

public otyca::ScheduledJump (Class ScheduledJump)

Derived Type

public otyca::TimeBoundedBimodalGaussian (Class TimeBoundedBimodalGaussian)

Class Documentation

class TimeBoundedJump : public otyca::ScheduledJump 

Represents a jump that can occur within a bounded time interval.

This class models a scheduled jump event where the jump is expected to occur within a time window defined by a lower bound (tau_lo) and an upper bound (tau_hi). The probability of the jump occurring by time t increases linearly between tau_lo and tau_hi.

Subclassed by otyca::TimeBoundedBimodalGaussian

Public Functions

inline TimeBoundedJump(): Default constructor initializing bounds to 0.

inline TimeBoundedJump(double tau_lo, double tau_hi)

Constructor with specified lower and upper bounds for jump time.

Note

It is assumed that tau_hi > tau_lo, but this is not enforced.

Parameters:

tau_lo – Lower bound of the jump time.
tau_hi – Upper bound of the jump time.

inline virtual double effective_time() const override

Returns the start of the jump interval.

Returns:: The lower bound (tau_lo) of the jump time.

inline virtual double effective_time_end() const override

Returns the end of the jump interval.

Returns:: The upper bound (tau_hi) of the jump time.

inline double get_tau_lo() const

Gets the lower bound of the jump interval.

Returns:: The value of _tau_lo.

inline void set_tau_lo(double tau)

Sets the lower bound of the jump interval.

Parameters:: tau – New value for _tau_lo.

inline double get_tau_hi() const

Gets the upper bound of the jump interval.

Returns:: The value of _tau_hi.

inline void set_tau_hi(double tau)

Sets the upper bound of the jump interval.

Parameters:: tau – New value for _tau_hi.

inline virtual bool before_or_at(double t) const

Checks if the jump interval ends before or at the given time.

Parameters:: t – The time to compare against.
Returns:: True if tau_hi <= t, false otherwise.

inline virtual bool after(double t) const

Checks if the jump interval starts after the given time.

Parameters:: t – The time to compare against.
Returns:: True if tau_lo > t, false otherwise.

inline double jump_probability(double t) const

Computes the probability that the jump has occurred by time t.

The probability increases linearly between tau_lo and tau_hi.

Parameters:: t – The time at which to evaluate the jump probability.
Returns:: The jump probability, or NaN if tau_hi <= tau_lo.