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### ============================================================================
### lsodar -- solves ordinary differential equation systems
### Compared to the other integrators of odepack
### (a) lsodar switches automatically between stiff and nonstiff methods.
### This means that the user does not have to determine whether the
### problem is stiff or not, and the solver will automatically choose the
### appropriate method. It always starts with the nonstiff method.
### This is similar to lsoda.
### (b) lsodar finds the root of at least one of a set of constraint
### functions g(i) of the independent and dependent variables.
### It finds only those roots for which some g(i), as a function
### of t, changes sign in the interval of integration.
### It then returns the solution at the root, if that occurs
### sooner than the specified stop condition, and otherwise returns
### the solution according the specified stop condition.
### ============================================================================
lsodar <- function(y, times, func, parms, rtol=1e-6, atol=1e-6,
jacfunc=NULL, jactype = "fullint", rootfunc=NULL, verbose=FALSE,
nroot = 0, tcrit = NULL, hmin=0, hmax=NULL, hini=0, ynames=TRUE,
maxordn = 12, maxords = 5, bandup = NULL, banddown = NULL,
maxsteps = 5000, dllname=NULL,initfunc=dllname, initpar=parms,
rpar=NULL, ipar=NULL, nout=0, outnames=NULL, forcings=NULL,
initforc = NULL, fcontrol=NULL, events=NULL, lags = NULL, ...) {
### check input
if (is.list(func)) { ### IF a list
if (!is.null(jacfunc) & "jacfunc" %in% names(func))
stop("If 'func' is a list that contains jacfunc, argument 'jacfunc' should be NULL")
if (!is.null(rootfunc) & "rootfunc" %in% names(func))
stop("If 'func' is a list that contains rootfunc, argument 'rootfunc' should be NULL")
if (!is.null(initfunc) & "initfunc" %in% names(func))
stop("If 'func' is a list that contains initfunc, argument 'initfunc' should be NULL")
if (!is.null(dllname) & "dllname" %in% names(func))
stop("If 'func' is a list that contains dllname, argument 'dllname' should be NULL")
if (!is.null(initforc) & "initforc" %in% names(func))
stop("If 'func' is a list that contains initforc, argument 'initforc' should be NULL")
if (!is.null(events$func) & "eventfunc" %in% names(func))
stop("If 'func' is a list that contains eventfunc, argument 'events$func' should be NULL")
if ("eventfunc" %in% names(func)) {
if (! is.null(events))
events$func <- func$eventfunc
else
events <- list(func = func$eventfunc)
}
if (!is.null(func$jacfunc)) jacfunc <- func$jacfunc
if (!is.null(func$rootfunc)) rootfunc <- func$rootfunc
if (!is.null(func$initfunc)) initfunc <- func$initfunc
if (!is.null(func$dllname)) dllname <- func$dllname
if (!is.null(func$initforc)) initforc <- func$initforc
func <- func$func
}
hmax <- checkInput (y, times, func, rtol, atol,
jacfunc, tcrit, hmin, hmax, hini, dllname)
n <- length(y)
if (!is.numeric(maxordn))
stop("`maxordn' must be numeric")
if(maxordn < 1 || maxordn > 12)
stop("`maxord' must be >1 and <=12")
if (!is.numeric(maxords))
stop("`maxords' must be numeric")
if(maxords < 1 || maxords > 5)
stop("`maxords' must be >1 and <=5")
### Jacobian, method flag
if (jactype == "fullint" ) jt <- 2 # full, calculated internally
else if (jactype == "fullusr" ) jt <- 1 # full, specified by user function
else if (jactype == "bandusr" ) jt <- 4 # banded, specified by user function
else if (jactype == "bandint" ) jt <- 5 # banded, calculated internally
else stop("'jactype' must be one of 'fullint', 'fullusr', 'bandusr' or 'bandint'")
## check other specifications depending on Jacobian
if (jt %in% c(4,5) && is.null(bandup))
stop("'bandup' must be specified if banded Jacobian")
if (jt %in% c(4,5) && is.null(banddown))
stop("'banddown' must be specified if banded Jacobian")
if (is.null(banddown)) banddown <-1
if (is.null(bandup )) bandup <-1
if (jt %in% c(1,4) && is.null(jacfunc))
stop ("'jacfunc' NOT specified; either specify 'jacfunc' or change 'jactype'")
### model and Jacobian function
Ynames <- attr(y,"names")
JacFunc <- NULL
RootFunc <- NULL
flist<-list(fmat=0,tmat=0,imat=0,ModelForc=NULL)
ModelInit <- NULL
Eventfunc <- NULL
events <- checkevents(events, times, Ynames, dllname, TRUE)
if (! is.null(events$newTimes)) times <- events$newTimes
if (jt == 4 && banddown>0)
erow<-matrix(data=0, ncol=n, nrow=banddown) else erow<-NULL
if (is.character(func) | inherits(func, "CFunc")) { # function specified in a DLL or inline compiled
DLL <- checkDLL(func,jacfunc,dllname,
initfunc,verbose,nout, outnames)
## Is there a root function?
if (!is.null(rootfunc)) {
if (!is.character(rootfunc) & !inherits(rootfunc, "CFunc"))
stop("If 'func' is dynloaded, so must 'rootfunc' be")
rootfuncname <- rootfunc
if (inherits(rootfunc, "CFunc"))
RootFunc <- body(rootfunc)[[2]]
else if (is.loaded(rootfuncname, PACKAGE = dllname)) {
RootFunc <- getNativeSymbolInfo(rootfuncname, PACKAGE = dllname)$address
} else
stop(paste("root function not loaded in DLL",rootfunc))
if (nroot == 0)
stop("if 'rootfunc' is specified in a DLL, then 'nroot' should be > 0")
}
ModelInit <- DLL$ModelInit
Func <- DLL$Func
JacFunc <- DLL$JacFunc
Nglobal <- DLL$Nglobal
Nmtot <- DLL$Nmtot
if (! is.null(forcings))
flist <- checkforcings(forcings,times,dllname,initforc,verbose,fcontrol)
if (is.null(ipar)) ipar<-0
if (is.null(rpar)) rpar<-0
Eventfunc <- events$func
if (is.function(Eventfunc))
rho <- environment(Eventfunc)
else
rho <- NULL
} else {
if(is.null(initfunc))
initpar <- NULL # parameter initialisation not needed if function is not a DLL
rho <- environment(func)
## func and jac are overruled, either including ynames, or not
## This allows to pass the "..." arguments and the parameters
if (ynames) {
Func <- function(time,state) {
attr(state,"names") <- Ynames
unlist(func (time,state,parms,...))
}
Func2 <- function(time,state) {
attr(state,"names") <- Ynames
func (time,state,parms,...)
}
JacFunc <- function(time,state){
attr(state,"names") <- Ynames
rbind(jacfunc(time,state,parms,...),erow)
}
RootFunc <- function(time,state) {
attr(state,"names") <- Ynames
rootfunc(time,state,parms,...)
}
if (! is.null(events$Type))
if (events$Type == 2)
Eventfunc <- function(time,state) {
attr(state,"names") <- Ynames
events$func(time,state,parms,...)
}
} else { # no ynames...
Func <- function(time,state)
unlist(func (time,state,parms,...))
Func2 <- function(time,state)
func (time,state,parms,...)
JacFunc <- function(time,state)
rbind(jacfunc(time,state,parms,...),erow)
RootFunc <- function(time,state)
rootfunc(time,state,parms,...)
if (! is.null(events$Type))
if (events$Type == 2)
Eventfunc <- function(time,state)
events$func(time,state,parms,...)
}
## Check derivative function and return the number of output variables +name
FF <- checkFunc(Func2,times,y,rho)
Nglobal<-FF$Nglobal
Nmtot <- FF$Nmtot
## Check event function
if (! is.null(events$Type))
if (events$Type == 2)
checkEventFunc(Eventfunc,times,y,rho)
## and for rootfunc
if (! is.null(rootfunc)) {
tmp2 <- eval(rootfunc(times[1],y,parms,...), rho)
if (!is.vector(tmp2))
stop("root function 'rootfunc' must return a vector\n")
nroot <- length(tmp2)
} else nroot = 0
if (jt %in% c(1,4)) {
tmp <- eval(JacFunc(times[1], y), rho)
if (!is.matrix(tmp))
stop("Jacobian function, 'jacfunc' must return a matrix\n")
dd <- dim(tmp)
if((jt ==4 && any(dd != c(bandup+banddown+1,n))) ||
(jt ==1 && any(dd != c(n,n))))
stop("Jacobian dimension not ok")
}
}
### work arrays iwork, rwork
## length of rwork and iwork
if(jt %in% c(1,2)) lmat <- n^2+2 else
if(jt %in% c(4,5)) lmat <- (2*banddown+bandup+1)*n+2
lrn = 20+n*(maxordn+1)+ 3*n +3*nroot # length in case non-stiff method
lrs = 20+n*(maxords+1)+ 3*n +lmat+3*nroot # length in case stiff method
lrw = max(lrn,lrs) # actual length: max of both
liw = 20 + n
## only first 20 elements passed to solver; other will be allocated in C-code
iwork <- vector("integer",20)
rwork <- vector("double",20)
rwork[] <- 0.
iwork[] <- 0
iwork[1] <- banddown
iwork[2] <- bandup
iwork[6] <- maxsteps
if (maxordn != 12) iwork[8] <- maxordn
if (maxords != 5) iwork[9] <- maxords
if (verbose) iwork[5] = 1 # prints method switches to screen
if(! is.null(tcrit)) rwork[1] <- tcrit
rwork[5] <- hini
rwork[6] <- hmax
rwork[7] <- hmin
## the task to be performed.
if (! is.null(times))
itask <- ifelse (is.null (tcrit), 1,4) else # times specified
itask <- ifelse (is.null (tcrit), 2,5) # only one step
if(is.null(times)) times<-c(0,1e8)
## print to screen...
if (verbose) printtask(itask,func,jacfunc)
### calling solver
storage.mode(y) <- storage.mode(times) <- "double"
IN <-4
lags <- checklags(lags, dllname)
on.exit(.C("unlock_solver"))
out <- .Call("call_lsoda",y,times,Func,initpar,
rtol, atol, rho, tcrit, JacFunc, ModelInit, Eventfunc,
as.integer(verbose), as.integer(itask), as.double(rwork),
as.integer(iwork), as.integer(jt),as.integer(Nglobal),
as.integer(lrw),as.integer(liw),as.integer(IN),RootFunc,
as.integer(nroot), as.double (rpar), as.integer(ipar),
0L, flist, events, lags, PACKAGE="deSolve")
### saving results
iroot <- attr(out, "iroot")
out <- saveOut(out, y, n, Nglobal, Nmtot, func, Func2,
iin=c(1,12:21), iout=c(1:3,14,5:9,15:16),nr = 5)
attr(out, "iroot") <- iroot
attr(out, "type") <- "lsodar"
if (verbose) diagnostics(out)
return(out)
}
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