cantera/src/equil/BasisOptimize.cpp

611 lines
22 KiB
C++

/**
* @file BasisOptimize.cpp Functions which calculation optimized basis of the
* stoichiometric coefficient matrix (see /ref equil functions)
*/
#include "cantera/equil/MultiPhase.h"
#include "cantera/numerics/ctlapack.h"
using namespace std;
namespace Cantera
{
int BasisOptimize_print_lvl = 0;
//! Print a string within a given space limit.
/*!
* This routine limits the amount of the string that will be printed to a
* maximum of "space" characters.
* @param str String -> must be null terminated.
* @param space space limit for the printing.
* @param alignment 0 centered
* 1 right aligned
* 2 left aligned
*/
static void print_stringTrunc(const char* str, int space, int alignment);
size_t BasisOptimize(int* usedZeroedSpecies, bool doFormRxn, MultiPhase* mphase,
std::vector<size_t>& orderVectorSpecies,
std::vector<size_t>& orderVectorElements,
vector_fp& formRxnMatrix)
{
size_t j, jj, k=0, kk, l, i, jl, ml;
std::string ename;
std::string sname;
/*
* Get the total number of elements defined in the multiphase object
*/
size_t ne = mphase->nElements();
/*
* Get the total number of species in the multiphase object
*/
size_t nspecies = mphase->nSpecies();
doublereal tmp;
doublereal const USEDBEFORE = -1;
/*
* Perhaps, initialize the element ordering
*/
if (orderVectorElements.size() < ne) {
orderVectorElements.resize(ne);
for (j = 0; j < ne; j++) {
orderVectorElements[j] = j;
}
}
/*
* Perhaps, initialize the species ordering
*/
if (orderVectorSpecies.size() != nspecies) {
orderVectorSpecies.resize(nspecies);
for (k = 0; k < nspecies; k++) {
orderVectorSpecies[k] = k;
}
}
if (DEBUG_MODE_ENABLED && BasisOptimize_print_lvl >= 1) {
writelog(" ");
for (i=0; i<77; i++) {
writelog("-");
}
writelog("\n");
writelog(" --- Subroutine BASOPT called to ");
writelog("calculate the number of components and ");
writelog("evaluate the formation matrix\n");
if (BasisOptimize_print_lvl > 0) {
writelog(" ---\n");
writelog(" --- Formula Matrix used in BASOPT calculation\n");
writelog(" --- Species | Order | ");
for (j = 0; j < ne; j++) {
jj = orderVectorElements[j];
writelog(" ");
ename = mphase->elementName(jj);
print_stringTrunc(ename.c_str(), 4, 1);
writelogf("(%1d)", j);
}
writelog("\n");
for (k = 0; k < nspecies; k++) {
kk = orderVectorSpecies[k];
writelog(" --- ");
sname = mphase->speciesName(kk);
print_stringTrunc(sname.c_str(), 11, 1);
writelogf(" | %4d |", k);
for (j = 0; j < ne; j++) {
jj = orderVectorElements[j];
double num = mphase->nAtoms(kk,jj);
writelogf("%6.1g ", num);
}
writelog("\n");
}
writelog(" --- \n");
}
}
/*
* Calculate the maximum value of the number of components possible
* It's equal to the minimum of the number of elements and the
* number of total species.
*/
size_t nComponents = std::min(ne, nspecies);
size_t nNonComponents = nspecies - nComponents;
/*
* Set this return variable to false
*/
*usedZeroedSpecies = false;
/*
* Create an array of mole numbers
*/
vector_fp molNum(nspecies,0.0);
mphase->getMoles(DATA_PTR(molNum));
/*
* Other workspace
*/
vector_fp sm(ne*ne, 0.0);
vector_fp ss(ne, 0.0);
vector_fp sa(ne, 0.0);
if (formRxnMatrix.size() < nspecies*ne) {
formRxnMatrix.resize(nspecies*ne, 0.0);
}
/*
* For debugging purposes keep an unmodified copy of the array.
*/
vector_fp molNumBase;
if (DEBUG_MODE_ENABLED) {
molNumBase = molNum;
}
double molSave = 0.0;
size_t jr = 0;
/*
* Top of a loop of some sort based on the index JR. JR is the
* current number of component species found.
*/
while (jr < nComponents) {
/* - Top of another loop point based on finding a linearly */
/* - independent species */
while (true) {
/*
* Search the remaining part of the mole number vector, molNum
* for the largest remaining species. Return its identity.
* kk is the raw number. k is the orderVectorSpecies index.
*/
kk = max_element(molNum.begin(), molNum.end()) - molNum.begin();
for (j = 0; j < nspecies; j++) {
if (orderVectorSpecies[j] == kk) {
k = j;
break;
}
}
if (j == nspecies) {
throw CanteraError("BasisOptimize", "orderVectorSpecies contains an error");
}
if (molNum[kk] == 0.0) {
*usedZeroedSpecies = true;
}
/*
* If the largest molNum is negative, then we are done.
*/
if (molNum[kk] == USEDBEFORE) {
nComponents = jr;
nNonComponents = nspecies - nComponents;
break;
}
/*
* Assign a small negative number to the component that we have
* just found, in order to take it out of further consideration.
*/
#ifdef DEBUG_MODE
molSave = molNum[kk];
#endif
molNum[kk] = USEDBEFORE;
/* *********************************************************** */
/* **** CHECK LINEAR INDEPENDENCE WITH PREVIOUS SPECIES ****** */
/* *********************************************************** */
/*
* Modified Gram-Schmidt Method, p. 202 Dalquist
* QR factorization of a matrix without row pivoting.
*/
jl = jr;
for (j = 0; j < ne; ++j) {
jj = orderVectorElements[j];
sm[j + jr*ne] = mphase->nAtoms(kk,jj);
}
if (jl > 0) {
/*
* Compute the coefficients of JA column of the
* the upper triangular R matrix, SS(J) = R_J_JR
* (this is slightly different than Dalquist)
* R_JA_JA = 1
*/
for (j = 0; j < jl; ++j) {
ss[j] = 0.0;
for (i = 0; i < ne; ++i) {
ss[j] += sm[i + jr*ne] * sm[i + j*ne];
}
ss[j] /= sa[j];
}
/*
* Now make the new column, (*,JR), orthogonal to the
* previous columns
*/
for (j = 0; j < jl; ++j) {
for (l = 0; l < ne; ++l) {
sm[l + jr*ne] -= ss[j] * sm[l + j*ne];
}
}
}
/*
* Find the new length of the new column in Q.
* It will be used in the denominator in future row calcs.
*/
sa[jr] = 0.0;
for (ml = 0; ml < ne; ++ml) {
tmp = sm[ml + jr*ne];
sa[jr] += tmp * tmp;
}
/* **************************************************** */
/* **** IF NORM OF NEW ROW .LT. 1E-3 REJECT ********** */
/* **************************************************** */
if (sa[jr] > 1.0e-6) {
break;
}
}
/* ****************************************** */
/* **** REARRANGE THE DATA ****************** */
/* ****************************************** */
if (jr != k) {
if (DEBUG_MODE_ENABLED && BasisOptimize_print_lvl >= 1) {
kk = orderVectorSpecies[k];
writelogf(" --- %-12.12s", mphase->speciesName(kk));
jj = orderVectorSpecies[jr];
writelogf("(%9.2g) replaces %-12.12s",
molSave, mphase->speciesName(jj));
writelogf("(%9.2g) as component %3d\n", molNum[jj], jr);
}
std::swap(orderVectorSpecies[jr], orderVectorSpecies[k]);
}
// If we haven't found enough components, go back and find some more
jr++;
}
if (! doFormRxn) {
return nComponents;
}
/* ****************************************************** */
/* **** EVALUATE THE STOICHIOMETRY ********************** */
/* ****************************************************** */
/*
* Formulate the matrix problem for the stoichiometric
* coefficients. CX + B = 0
* C will be an nc x nc matrix made up of the formula
* vectors for the components. Each component's formula
* vector is a column. The rows are the elements.
* n RHS's will be solved for. Thus, B is an nc x n
* matrix.
*
* BIG PROBLEM 1/21/99:
*
* This algorithm makes the assumption that the
* first nc rows of the formula matrix aren't rank deficient.
* However, this might not be the case. For example, assume
* that the first element in FormulaMatrix[] is argon. Assume that
* no species in the matrix problem actually includes argon.
* Then, the first row in sm[], below will be identically
* zero. bleh.
* What needs to be done is to perform a rearrangement
* of the ELEMENTS -> i.e. rearrange, FormulaMatrix, sp, and gai, such
* that the first nc elements form in combination with the
* nc components create an invertible sm[]. not a small
* project, but very doable.
* An alternative would be to turn the matrix problem
* below into an ne x nc problem, and do QR elimination instead
* of Gauss-Jordan elimination.
* Note the rearrangement of elements need only be done once
* in the problem. It's actually very similar to the top of
* this program with ne being the species and nc being the
* elements!!
*/
for (k = 0; k < nComponents; ++k) {
kk = orderVectorSpecies[k];
for (j = 0; j < nComponents; ++j) {
jj = orderVectorElements[j];
sm[j + k*ne] = mphase->nAtoms(kk, jj);
}
}
for (i = 0; i < nNonComponents; ++i) {
k = nComponents + i;
kk = orderVectorSpecies[k];
for (j = 0; j < nComponents; ++j) {
jj = orderVectorElements[j];
formRxnMatrix[j + i * ne] = - mphase->nAtoms(kk, jj);
}
}
// Use LU factorization to calculate the reaction matrix
int info;
vector_int ipiv(nComponents);
ct_dgetrf(nComponents, nComponents, &sm[0], ne, &ipiv[0], info);
if (info) {
throw CanteraError("BasisOptimize", "factorization returned an error condition");
}
ct_dgetrs(ctlapack::NoTranspose, nComponents, nNonComponents, &sm[0], ne,
&ipiv[0], &formRxnMatrix[0], ne, info);
if (DEBUG_MODE_ENABLED && BasisOptimize_print_lvl >= 1) {
writelog(" ---\n");
writelogf(" --- Number of Components = %d\n", nComponents);
writelog(" --- Formula Matrix:\n");
writelog(" --- Components: ");
for (k = 0; k < nComponents; k++) {
kk = orderVectorSpecies[k];
writelogf(" %3d (%3d) ", k, kk);
}
writelog("\n --- Components Moles: ");
for (k = 0; k < nComponents; k++) {
kk = orderVectorSpecies[k];
writelogf("%-11.3g", molNumBase[kk]);
}
writelog("\n --- NonComponent | Moles | ");
for (i = 0; i < nComponents; i++) {
kk = orderVectorSpecies[i];
writelogf("%-11.10s", mphase->speciesName(kk));
}
writelog("\n");
for (i = 0; i < nNonComponents; i++) {
k = i + nComponents;
kk = orderVectorSpecies[k];
writelogf(" --- %3d (%3d) ", k, kk);
writelogf("%-10.10s", mphase->speciesName(kk));
writelogf("|%10.3g|", molNumBase[kk]);
/*
* Print the negative of formRxnMatrix[]; it's easier to interpret.
*/
for (j = 0; j < nComponents; j++) {
writelogf(" %6.2f", - formRxnMatrix[j + i * ne]);
}
writelog("\n");
}
writelog(" ");
for (i=0; i<77; i++) {
writelog("-");
}
writelog("\n");
}
return nComponents;
} /* basopt() ************************************************************/
static void print_stringTrunc(const char* str, int space, int alignment)
/***********************************************************************
* vcs_print_stringTrunc():
*
* Print a string within a given space limit. This routine
* limits the amount of the string that will be printed to a
* maximum of "space" characters.
*
* str = String -> must be null terminated.
* space = space limit for the printing.
* alignment = 0 centered
* 1 right aligned
* 2 left aligned
***********************************************************************/
{
int i, ls=0, rs=0;
int len = static_cast<int>(strlen(str));
if ((len) >= space) {
for (i = 0; i < space; i++) {
writelogf("%c", str[i]);
}
} else {
if (alignment == 1) {
ls = space - len;
} else if (alignment == 2) {
rs = space - len;
} else {
ls = (space - len) / 2;
rs = space - len - ls;
}
if (ls != 0) {
for (i = 0; i < ls; i++) {
writelog(" ");
}
}
writelogf("%s", str);
if (rs != 0) {
for (i = 0; i < rs; i++) {
writelog(" ");
}
}
}
}
void ElemRearrange(size_t nComponents, const vector_fp& elementAbundances,
MultiPhase* mphase,
std::vector<size_t>& orderVectorSpecies,
std::vector<size_t>& orderVectorElements)
{
size_t j, k, l, i, jl, ml, jr, ielem, jj, kk=0;
size_t nelements = mphase->nElements();
std::string ename;
/*
* Get the total number of species in the multiphase object
*/
size_t nspecies = mphase->nSpecies();
double test = -1.0E10;
if (DEBUG_MODE_ENABLED && BasisOptimize_print_lvl > 0) {
writelog(" ");
for (i=0; i<77; i++) {
writelog("-");
}
writelog("\n");
writelog(" --- Subroutine ElemRearrange() called to ");
writelog("check stoich. coefficient matrix\n");
writelog(" --- and to rearrange the element ordering once\n");
}
/*
* Perhaps, initialize the element ordering
*/
if (orderVectorElements.size() < nelements) {
orderVectorElements.resize(nelements);
for (j = 0; j < nelements; j++) {
orderVectorElements[j] = j;
}
}
/*
* Perhaps, initialize the species ordering. However, this is
* dangerous, as this ordering is assumed to yield the
* component species for the problem
*/
if (orderVectorSpecies.size() != nspecies) {
orderVectorSpecies.resize(nspecies);
for (k = 0; k < nspecies; k++) {
orderVectorSpecies[k] = k;
}
}
/*
* If the elementAbundances aren't input, just create a fake one
* based on summing the column of the stoich matrix.
* This will force elements with zero species to the
* end of the element ordering.
*/
vector_fp eAbund(nelements,0.0);
if (elementAbundances.size() != nelements) {
for (j = 0; j < nelements; j++) {
eAbund[j] = 0.0;
for (k = 0; k < nspecies; k++) {
eAbund[j] += fabs(mphase->nAtoms(k, j));
}
}
} else {
copy(elementAbundances.begin(), elementAbundances.end(),
eAbund.begin());
}
vector_fp sa(nelements,0.0);
vector_fp ss(nelements,0.0);
vector_fp sm(nelements*nelements,0.0);
/*
* Top of a loop of some sort based on the index JR. JR is the
* current number independent elements found.
*/
jr = 0;
while (jr < nComponents) {
/*
* Top of another loop point based on finding a linearly
* independent element
*/
while (true) {
/*
* Search the element vector. We first locate elements that
* are present in any amount. Then, we locate elements that
* are not present in any amount.
* Return its identity in K.
*/
k = nelements;
for (ielem = jr; ielem < nelements; ielem++) {
kk = orderVectorElements[ielem];
if (eAbund[kk] != test && eAbund[kk] > 0.0) {
k = ielem;
break;
}
}
for (ielem = jr; ielem < nelements; ielem++) {
kk = orderVectorElements[ielem];
if (eAbund[kk] != test) {
k = ielem;
break;
}
}
if (k == nelements) {
// When we are here, there is an error usually.
// We haven't found the number of elements necessary.
if (DEBUG_MODE_ENABLED && BasisOptimize_print_lvl > 0) {
writelogf("Error exit: returning with nComponents = %d\n", jr);
}
throw CanteraError("ElemRearrange", "Required number of elements not found.");
}
/*
* Assign a large negative number to the element that we have
* just found, in order to take it out of further consideration.
*/
eAbund[kk] = test;
/* *********************************************************** */
/* **** CHECK LINEAR INDEPENDENCE OF CURRENT FORMULA MATRIX */
/* **** LINE WITH PREVIOUS LINES OF THE FORMULA MATRIX ****** */
/* *********************************************************** */
/*
* Modified Gram-Schmidt Method, p. 202 Dalquist
* QR factorization of a matrix without row pivoting.
*/
jl = jr;
/*
* Fill in the row for the current element, k, under consideration
* The row will contain the Formula matrix value for that element
* with respect to the vector of component species.
* (note j and k indices are flipped compared to the previous routine)
*/
for (j = 0; j < nComponents; ++j) {
jj = orderVectorSpecies[j];
kk = orderVectorElements[k];
sm[j + jr*nComponents] = mphase->nAtoms(jj,kk);
}
if (jl > 0) {
/*
* Compute the coefficients of JA column of the
* the upper triangular R matrix, SS(J) = R_J_JR
* (this is slightly different than Dalquist)
* R_JA_JA = 1
*/
for (j = 0; j < jl; ++j) {
ss[j] = 0.0;
for (i = 0; i < nComponents; ++i) {
ss[j] += sm[i + jr*nComponents] * sm[i + j*nComponents];
}
ss[j] /= sa[j];
}
/*
* Now make the new column, (*,JR), orthogonal to the
* previous columns
*/
for (j = 0; j < jl; ++j) {
for (l = 0; l < nComponents; ++l) {
sm[l + jr*nComponents] -= ss[j] * sm[l + j*nComponents];
}
}
}
/*
* Find the new length of the new column in Q.
* It will be used in the denominator in future row calcs.
*/
sa[jr] = 0.0;
for (ml = 0; ml < nComponents; ++ml) {
double tmp = sm[ml + jr*nComponents];
sa[jr] += tmp * tmp;
}
/* **************************************************** */
/* **** IF NORM OF NEW ROW .LT. 1E-6 REJECT ********** */
/* **************************************************** */
if (sa[jr] > 1.0e-6) {
break;
}
}
/* ****************************************** */
/* **** REARRANGE THE DATA ****************** */
/* ****************************************** */
if (jr != k) {
if (DEBUG_MODE_ENABLED && BasisOptimize_print_lvl > 0) {
kk = orderVectorElements[k];
writelog(" --- ");
writelogf("%-2.2s", mphase->elementName(kk));
writelog("replaces ");
kk = orderVectorElements[jr];
writelogf("%-2.2s", mphase->elementName(kk));
writelogf(" as element %3d\n", jr);
}
std::swap(orderVectorElements[jr], orderVectorElements[k]);
}
// If we haven't found enough components, go back and find some more
jr++;
};
}
}