Class bumper

Overview

Class bumper is an object-oriented representation of a spherical immovable obstacle in a 2-dimensional space.

In order to have different kind of collision physics, it is possible to create bumpers with different “temperatures” or methods of collision.

Interface

Constructors

• bumper()

  builds an uninitialized bumper.

• bumper(const vec & position, const double & radius, const double & temperature = -1, const bool & multiplicative = false, const bool & randomness = false, std :: default_random_engine * random_engine = NULL)

  builds a bumper with the given values and flags. More specifically:

  • For a standard bumper with standard elastic collision, you have to provide only position and radius;
  • For a bumper that resets the energy of every colliding molecule at a given value of temperature, you have to provide only position, radius and temperature.
  • For a bumper that has a different elastic coefficient, you have to provide position, radius, temperature and set multiplicative to true. This will make the temperature value the elastic coefficient of the bumper. (Further development of NOCS may improve the naming standard)
  • For a bumper that resets the energy of every colliding value at a randomly extracted value from an exponential distribution with temperature as average value, you have to provide position, radius, temperature, set multiplicative to false, set randomness to true and provide a pointer to an std::default_random_engine. This way, you have the possibility to fully control the eventual random element in the simulation.

Public members

• grid :: mark

  position of the molecule inside the engine grid.

Getters

• const vec & position() const
• const double & radius() const
• const double & temperature() const

• const bool & multiplicative() const

  Returns if the bumper is multiplicative.

• const bool & randomness() const

  Returns if the bumper has random behavior.

Methods

• double random_extraction()

  If the bumper is random, performs a random extraction from its exponential distribution.