By James J. Nutaro
This booklet bargains a concise advent to the paintings of establishing simulation software program, amassing an important options and algorithms in a single position. Written for either contributors new to the sphere of modeling and simulation in addition to skilled practitioners, this consultant explains the layout and implementation of simulation software program utilized in the engineering of huge structures whereas proposing the proper mathematical components, thought discussions, and code improvement.
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Additional info for Building Software for Simulation: Theory and Algorithms, with Applications in C++
This class has two abstract methods: delta and output func. The method delta implements the state transition function, and output func1 implements the output function. The member variables of the derived class are the state variables of the model, and these are initialized by its constructor. The computeOutput method is effective just once at each simulation time. Subsequent calls at the same simulation time have no effect. This design decision has two practical motivations: (1) it simplifies the management of output objects by cleaning them up just once at the end of the computeNextState method, and (2) the model’s output func method is called just once at each simulation time; in practice, modelers often collect statistics, drive output devices, and perform other tasks in the output func or in response to output that must be done just once at each simulation time.
We could force the programmer to use a base class, provided by the simulation engine, for all input and output, but this is awkward in practice. Small simulation projects become cluttered with objects that encapsulate simple data types: doubles, integers, and strings. Large simulation projects are pushed into a design that invariably forces models to exchange pointers to objects, rather than the objects themselves (or copies of the objects). The memory allocated to input and output objects must, therefore, be carefully managed and this becomes a source of errors.
33) k=0 where the tk are the times at which the stateChange method of the TankEventListener is called and il,k and ir,k are the currents at time tk . Note that t0 = 0 and t M may be slightly less than 3, depending on how the simulator selects timesteps for its integration algorithm (it could be made to update the state of the tank at t = 3, but was not in this instance). The stateChange method of the TankEventListener is called every time the Simulator computes a new state for an atomic component of the Tank.
Building Software for Simulation: Theory and Algorithms, with Applications in C++ by James J. Nutaro