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Processes
See:
Description
Interface Summary | |
Region_1D | Interface for a one dimensional region (subset of the real line). |
Region_nD | Interface for an n-dimensional region (subset of R^n). |
StoppingTime | Interface defining a stopping time. |
Class Summary | |
BiasedRandomWalk | Random walk moving up 1 with probability p and down 1 * with probability 1-p. |
BrownianMotion | A one dimensional standard Brownian motion * * @author Michael J. |
CompoundPoissonProcess | The compound Poisson process characterized by intensity lambda * and event random variable X (size of events). |
FirstExitTime_1D | Stopping time triggering as soon as a one dimensional process X * exits a one dimensional dimensional region D. |
FirstExitTime_nD | Stopping time triggering as soon as an n-dimensional process X * exits an n-dimensional region D. |
HittingTime_1D | Stopping time triggering as soon as a one dimensional process X * hits a one dimensional dimensional region D. |
HittingTime_nD | Stopping time triggering as soon as an n-dimensional process X * hits an n-dimensional dregion D. |
MarkovChain | A Markov chain with states 0,1,2... |
MaximumPathFunctional | The maximum of a process along its path |
PathFunctional | Abstract class defing a random variable H which is a functional (deterministic function) of the path of a stochastic process. |
SFSMarkovChain | A stationary finite state (SFS) Markov chain. |
SFSMarkovChainImpl | Implementation of SFSMarkovChain relying on * transition probabilities * q(i,j)=Q[i][j-a[i]], a[i]<=j<=b[i], * stored in an array Q[][]. |
SFSStoppableMarkovChain | A stationary finite state Markov chain with reward(t,i)
* for stopping at time t if the chain is in state i. |
StochasticProcess | Abstract class implementing some methods for a one dimensional * stochastic process and leaving process specific details abstract to be * overridden in concrete subclasses. |
StoppableMarkovChain | A Markov chain with reward(t,j) if the chain is stopped
* at time t in state j. |
SymmetricRandomWalk | A random walk moving up 1 or down 1 with equal probability p=1/2. |
VectorBrownianMotion | Standard Brownian motion in dimension dim>1. |
VectorProcess | Abstract class implementing some methods for an n-dimensional stochastic * process X(t) and leaving process specific details abstract to be overridden * in concrete subclasses. |
Processes
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