sim
Simulation: discrete event, Monte Carlo, agent-based modeling.
Load with: use sim
Quick example
use sim
result = simev("value", "value", "value", 10)
prn(result)
Functions
Simulation clock
simne()
Creates a new instance.
Events
simev(tm, typ, data, fn)
Performs the operation. Takes tm, typ, data, fn.
simud()
Performs the operation.
Schedule event
smsch(s, ev)
Checks a condition. Takes s, ev.
simat(s, tm, typ, dat, fn)
Performs the operation. Takes s, tm, typ, dat, fn.
simnw(s, typ, dat, fn)
Performs the operation. Takes s, typ, dat, fn.
Process
smprc(fn)
Performs the operation. Takes fn.
Run simulation
simrn(s, until)
Performs the operation. Takes s, until.
smstp(s)
Performs the operation. Takes s.
State access
simgt(s, k)
Performs the operation. Takes s, k.
simst(s, k, v)
Sets a value or starts a process. Takes s, k, v.
Statistics collection
simrc(s, nm, v)
Performs the operation. Takes s, nm, v.
smstt(s, nm)
Performs the operation. Takes s, nm.
Monte Carlo
simmc(model, iters)
Performs the operation. Takes model, iters.
Random variates
simxp(lam)
Performs the operation. Takes lam.
smnrm(mu, sig)
Removes an item. Takes mu, sig.
simnf(a, b)
Performs the operation. Takes a, b.
smgmm(shp, scl)
Performs the operation. Takes shp, scl.
simps(lam)
Performs the operation. Takes lam.
smbnm(n, p)
Performs the operation. Takes n, p.
smbta(a, b)
Performs the operation. Takes a, b.
simwb(lam, k)
Performs the operation. Takes lam, k.
Correlated randoms
smcpl(n, corr)
Performs the operation. Takes n, corr.
Queueing models
smmm1(lam, mu, until)
Performs the operation. Takes lam, mu, until.
Markov chains
smmcn(p)
Performs the operation. Takes p.
smmcs(m)
Performs the operation. Takes m.
smmcr(m, n)
Creates a new instance. Takes m, n.
Markov decision process
smmdp(sts, acts, r, tr, gamma)
Performs the operation. Takes sts, acts, r, tr, gamma.
smvlt(mdp, eps)
Performs the operation. Takes mdp, eps.
smplm(mdp)
Returns limits or constraints. Takes mdp.
Agent-based model
smbmn()
Performs the operation.
smbmd(m, agt)
Performs the operation. Takes m, agt.
smbms(m, dt)
Performs the operation. Takes m, dt.
smbmr(m, steps, dt)
Performs the operation. Takes m, steps, dt.
System dynamics
simsd(stocks, flows)
Performs the operation. Takes stocks, flows.
Petri nets
simpn(places, trans, tokens)
Performs the operation. Takes places, trans, tokens.
smpnf(pn, tr)
Performs the operation. Takes pn, tr.
Brownian motion
simbm(st, mu, sig, dt, n)
Performs the operation. Takes st, mu, sig, dt, n.
Geometric Brownian motion
smgbm(st, mu, sig, dt, n)
Performs the operation. Takes st, mu, sig, dt, n.
Bootstrapping
simbt(data, n, fn)
Performs the operation. Takes data, n, fn.
Sensitivity analysis
smsns(model, params, rngs)
Performs the operation. Takes model, params, rngs.
Optimization via simulation
simpt(model, bounds, iters)
Performs the operation. Takes model, bounds, iters.
Notes
- Simulation framework - discrete-event, agent-based.