cantera/src/numerics/CVodeInt.cpp
2012-02-12 02:47:46 +00:00

337 lines
8.3 KiB
C++

/**
* @file CVodeInt.cpp
*/
// Copyright 2001 California Institute of Technology
#include "CVodeInt.h"
#include <iostream>
using namespace std;
// cvode includes
#include "../../ext/cvode/include/llnltyps.h"
#include "../../ext/cvode/include/llnlmath.h"
#include "../../ext/cvode/include/cvode.h"
#include "../../ext/cvode/include/cvdense.h"
#include "../../ext/cvode/include/cvdiag.h"
#include "../../ext/cvode/include/cvspgmr.h"
#include "../../ext/cvode/include/nvector.h"
#include "../../ext/cvode/include/cvode.h"
inline static N_Vector nv(void* x)
{
return reinterpret_cast<N_Vector>(x);
}
extern "C" {
/**
* Function called by cvode to evaluate ydot given y. The cvode
* integrator allows passing in a void* pointer to access
* external data. This pointer is cast to a pointer to a instance
* of class FuncEval. The equations to be integrated should be
* specified by deriving a class from FuncEval that evaluates the
* desired equations.
* @ingroup odeGroup
*/
static void cvode_rhs(integer N, real t, N_Vector y, N_Vector ydot,
void* f_data)
{
double* ydata = N_VDATA(y);
double* ydotdata = N_VDATA(ydot);
Cantera::FuncEval* f = (Cantera::FuncEval*)f_data;
f->eval(t, ydata, ydotdata, NULL);
}
/**
* Function called by cvode to evaluate the Jacobian matrix.
* (temporary)
* @ingroup odeGroup
*/
static void cvode_jac(integer N, DenseMat J, RhsFn f, void* f_data,
real t, N_Vector y, N_Vector fy, N_Vector ewt, real h, real uround,
void* jac_data, long int* nfePtr, N_Vector vtemp1, N_Vector vtemp2,
N_Vector vtemp3)
{
// get pointers to start of data
double* ydata = N_VDATA(y);
double* fydata = N_VDATA(fy);
double* ewtdata = N_VDATA(ewt);
double* ydot = N_VDATA(vtemp1);
Cantera::FuncEval* func = (Cantera::FuncEval*)f_data;
int i,j;
double* col_j;
double ysave, dy;
for (j=0; j < N; j++) {
col_j = (J->data)[j];
ysave = ydata[j];
dy = 1.0/ewtdata[j];
ydata[j] = ysave + dy;
dy = ydata[j] - ysave;
func->eval(t, ydata, ydot, NULL);
for (i=0; i < N; i++) {
col_j[i] = (ydot[i] - fydata[i])/dy;
}
ydata[j] = ysave;
}
}
}
namespace Cantera
{
/**
* Constructor. Default settings: dense jacobian, no user-supplied
* Jacobian function, Newton iteration.
*/
CVodeInt::CVodeInt() : m_neq(0),
m_cvode_mem(0),
m_t0(0.0),
m_y(0),
m_abstol(0),
m_type(DENSE+NOJAC),
m_itol(0),
m_method(BDF),
m_iter(NEWTON),
m_maxord(0),
m_reltol(1.e-9),
m_abstols(1.e-15),
m_nabs(0),
m_hmax(0.0),
m_maxsteps(20000)
{
m_ropt.resize(OPT_SIZE,0.0);
m_iopt = new long[OPT_SIZE];
fill(m_iopt, m_iopt+OPT_SIZE,0);
}
/// Destructor.
CVodeInt::~CVodeInt()
{
if (m_cvode_mem) {
CVodeFree(m_cvode_mem);
}
if (m_y) {
N_VFree(nv(m_y));
}
if (m_abstol) {
N_VFree(nv(m_abstol));
}
delete[] m_iopt;
}
double& CVodeInt::solution(size_t k)
{
return N_VIth(nv(m_y), int(k));
}
double* CVodeInt::solution()
{
return N_VDATA(nv(m_y));
}
void CVodeInt::setTolerances(double reltol, size_t n, double* abstol)
{
m_itol = 1;
m_nabs = int(n);
if (m_nabs != m_neq) {
if (m_abstol) {
N_VFree(nv(m_abstol));
}
m_abstol = reinterpret_cast<void*>(N_VNew(m_nabs, 0));
}
for (int i=0; i<m_nabs; i++) {
N_VIth(nv(m_abstol), i) = abstol[i];
}
m_reltol = reltol;
}
void CVodeInt::setTolerances(double reltol, double abstol)
{
m_itol = 0;
m_reltol = reltol;
m_abstols = abstol;
}
void CVodeInt::setProblemType(int probtype)
{
m_type = probtype;
}
void CVodeInt::setMethod(MethodType t)
{
if (t == BDF_Method) {
m_method = BDF;
} else if (t == Adams_Method) {
m_method = ADAMS;
} else {
throw CVodeErr("unknown method");
}
}
void CVodeInt::setMaxStepSize(doublereal hmax)
{
m_hmax = hmax;
m_ropt[HMAX] = hmax;
}
void CVodeInt::setMinStepSize(doublereal hmin)
{
m_hmin = hmin;
m_ropt[HMIN] = hmin;
}
void CVodeInt::setMaxSteps(int nmax)
{
m_maxsteps = nmax;
m_iopt[MXSTEP] = m_maxsteps;
}
void CVodeInt::setIterator(IterType t)
{
if (t == Newton_Iter) {
m_iter = NEWTON;
} else if (t == Functional_Iter) {
m_iter = FUNCTIONAL;
} else {
throw CVodeErr("unknown iterator");
}
}
void CVodeInt::initialize(double t0, FuncEval& func)
{
m_neq = int(func.neq());
m_t0 = t0;
if (m_y) {
N_VFree(nv(m_y)); // free solution vector if already allocated
}
m_y = reinterpret_cast<void*>(N_VNew(m_neq, 0)); // allocate solution vector
// check abs tolerance array size
if (m_itol == 1 && m_nabs < m_neq) {
throw CVodeErr("not enough absolute tolerance values specified.");
}
func.getInitialConditions(m_t0, m_neq, N_VDATA(nv(m_y)));
// set options
m_iopt[MXSTEP] = m_maxsteps;
m_iopt[MAXORD] = m_maxord;
m_ropt[HMAX] = m_hmax;
if (m_cvode_mem) {
CVodeFree(m_cvode_mem);
}
// pass a pointer to func in m_data
m_data = (void*)&func;
if (m_itol) {
m_cvode_mem = CVodeMalloc(m_neq, cvode_rhs, m_t0, nv(m_y), m_method,
m_iter, m_itol, &m_reltol,
nv(m_abstol), m_data, NULL, 1, m_iopt,
DATA_PTR(m_ropt), NULL);
} else {
m_cvode_mem = CVodeMalloc(m_neq, cvode_rhs, m_t0, nv(m_y), m_method,
m_iter, m_itol, &m_reltol,
&m_abstols, m_data, NULL, 1, m_iopt,
DATA_PTR(m_ropt), NULL);
}
if (!m_cvode_mem) {
throw CVodeErr("CVodeMalloc failed.");
}
if (m_type == DENSE + NOJAC) {
CVDense(m_cvode_mem, NULL, NULL);
} else if (m_type == DENSE + JAC) {
CVDense(m_cvode_mem, cvode_jac, NULL);
} else if (m_type == DIAG) {
CVDiag(m_cvode_mem);
} else if (m_type == GMRES) {
CVSpgmr(m_cvode_mem, NONE, MODIFIED_GS, 0, 0.0,
NULL, NULL, NULL);
} else {
throw CVodeErr("unsupported option");
}
}
void CVodeInt::reinitialize(double t0, FuncEval& func)
{
m_t0 = t0;
func.getInitialConditions(m_t0, m_neq, N_VDATA(nv(m_y)));
// set options
m_iopt[MXSTEP] = m_maxsteps;
m_iopt[MAXORD] = m_maxord;
m_ropt[HMAX] = m_hmax;
//if (m_cvode_mem) CVodeFree(m_cvode_mem);
// pass a pointer to func in m_data
m_data = (void*)&func;
int result;
if (m_itol) {
result = CVReInit(m_cvode_mem, cvode_rhs, m_t0, nv(m_y), m_method,
m_iter, m_itol, &m_reltol,
nv(m_abstol), m_data, NULL, 1, m_iopt,
DATA_PTR(m_ropt), NULL);
} else {
result = CVReInit(m_cvode_mem, cvode_rhs, m_t0, nv(m_y), m_method,
m_iter, m_itol, &m_reltol,
&m_abstols, m_data, NULL, 1, m_iopt,
DATA_PTR(m_ropt), NULL);
}
if (result != 0) {
throw CVodeErr("CVReInit failed.");
}
if (m_type == DENSE + NOJAC) {
CVDense(m_cvode_mem, NULL, NULL);
} else if (m_type == DENSE + JAC) {
CVDense(m_cvode_mem, cvode_jac, NULL);
} else if (m_type == DIAG) {
CVDiag(m_cvode_mem);
} else if (m_type == GMRES) {
CVSpgmr(m_cvode_mem, NONE, MODIFIED_GS, 0, 0.0,
NULL, NULL, NULL);
} else {
throw CVodeErr("unsupported option");
}
}
void CVodeInt::integrate(double tout)
{
double t;
int flag;
flag = CVode(m_cvode_mem, tout, nv(m_y), &t, NORMAL);
if (flag != SUCCESS) {
throw CVodeErr(" CVode error encountered.");
}
}
double CVodeInt::step(double tout)
{
double t;
int flag;
flag = CVode(m_cvode_mem, tout, nv(m_y), &t, ONE_STEP);
if (flag != SUCCESS) {
throw CVodeErr(" CVode error encountered.");
}
return t;
}
int CVodeInt::nEvals() const
{
return m_iopt[NFE];
}
}