void SampleTree::RecursiveOutput(int currNode, int indent) const {
Indent(indent);
for (int i = 0; i < 3; i++) {
if (i) printf(" x ");
printf("[%lf, %lf]", GetVectorComponent(this->nodes[currNode].lowerPoint, i),
GetVectorComponent(this->nodes[currNode].upperPoint, i));
}
printf(", population = %d\n", this->nodes[currNode].population);
if (this->nodes[currNode].sampleList) {
Indent(indent);
printf("Leaf:");
for (int i = 0; i < this->nodes[currNode].population; i++) {
Vector point = this->samples[this->nodes[currNode].sampleList[i]];
printf(" (%lf, %lf, %lf)", point.GetX(), point.GetY(), point.GetZ());
}
printf("\n");
} else {
Indent(indent);
printf("Non-leaf:\n");
this->RecursiveOutput(this->nodes[currNode].leftIndex, indent + 4);
this->RecursiveOutput(this->nodes[currNode].rightIndex, indent + 4);
}
}
double AbstractParameterisedSystem<VECTOR>::GetAnyVariable(unsigned index, double time,
VECTOR* pDerivedQuantities)
{
if (index < mNumberOfStateVariables)
{
return GetVectorComponent(mStateVariables, index);
}
else if (index - mNumberOfStateVariables < GetVectorSize(mParameters))
{
return GetVectorComponent(mParameters, index - mNumberOfStateVariables);
}
else
{
unsigned offset = mNumberOfStateVariables + GetVectorSize(mParameters);
if (index - offset < GetNumberOfDerivedQuantities())
{
VECTOR dqs;
if (pDerivedQuantities == NULL)
{
dqs = ComputeDerivedQuantitiesFromCurrentState(time);
pDerivedQuantities = &dqs;
}
double value = GetVectorComponent(*pDerivedQuantities, index - offset);
if (pDerivedQuantities == &dqs)
{
DeleteVector(dqs);
}
return value;
}
else
{
EXCEPTION("Invalid index passed to GetAnyVariable.");
}
}
}
N_Vector ParameterisedCvode::ComputeDerivedQuantities(double time,
const N_Vector& rState)
{
N_Vector derived_quantities = NULL;
CreateVectorIfEmpty(derived_quantities,1);
SetVectorComponent(derived_quantities, 0,
2*GetVectorComponent(mParameters,0) + GetVectorComponent(rState,0));
return derived_quantities;
}
double AbstractParameterisedSystem<VECTOR>::GetParameter(unsigned index) const
{
if (index >= GetVectorSize(mParameters))
{
EXCEPTION("The index passed in must be less than the number of parameters.");
}
return GetVectorComponent(mParameters, index);
}
double AbstractParameterisedSystem<VECTOR>::GetStateVariable(unsigned index) const
{
if (index >= mNumberOfStateVariables)
{
EXCEPTION("The index passed in must be less than the number of state variables.");
}
return GetVectorComponent(mStateVariables, index);
}
void CheckDerivedQuantities(AbstractParameterisedSystem<VECTOR_TYPE>& rCell,
const VECTOR_TYPE& rStateVec)
{
TS_ASSERT_EQUALS(rCell.GetNumberOfDerivedQuantities(), 2u);
TS_ASSERT_EQUALS(rCell.GetDerivedQuantityIndex("FonRT"), 0u);
TS_ASSERT_EQUALS(rCell.GetDerivedQuantityIndex("potassium_currents"), 1u);
TS_ASSERT_EQUALS(rCell.GetDerivedQuantityUnits(0u), "per_millivolt");
TS_ASSERT_EQUALS(rCell.GetDerivedQuantityUnits(1u), "microA_per_cm2");
VECTOR_TYPE derived = rCell.ComputeDerivedQuantitiesFromCurrentState(0.0);
const double FonRT = 0.037435728309031795;
const double i_K_total = 1.0007;
TS_ASSERT_EQUALS(GetVectorSize(derived), 2u);
TS_ASSERT_DELTA(GetVectorComponent(derived, 0), FonRT, 1e-12);
TS_ASSERT_DELTA(GetVectorComponent(derived, 1), i_K_total, 1e-4);
DeleteVector(derived);
derived = rCell.ComputeDerivedQuantities(0.0, rStateVec);
TS_ASSERT_EQUALS(GetVectorSize(derived), 2u);
TS_ASSERT_DELTA(GetVectorComponent(derived, 0), FonRT, 1e-12);
TS_ASSERT_DELTA(GetVectorComponent(derived, 1), i_K_total, 1e-4);
DeleteVector(derived);
}
void AbstractParameterisedSystem<VECTOR>::SetStateVariables(const VECTOR& rStateVariables)
{
if ( mNumberOfStateVariables != GetVectorSize(rStateVariables) )
{
EXCEPTION("The size of the passed in vector must be that of the number of state variables.");
}
CreateVectorIfEmpty(mStateVariables, mNumberOfStateVariables);
for (unsigned i=0; i<mNumberOfStateVariables; i++)
{
SetVectorComponent(mStateVariables, i, GetVectorComponent(rStateVariables, i));
}
}
void SampleTree::RecursiveBuildByIntersectionRate(SampleTree::Node &currNode, int &cnt, int fr, int to, int *sortArray, int *assistArray, double *accumulativeTop, double *accumulativeBottom) {
currNode.population = to - fr + 1;
currNode.lowerPoint = Vector(samples[sortArray[fr]].GetX(),
samples[sortArray[this->numOfSamples + fr]].GetY(),
samples[sortArray[(this->numOfSamples << 1) + fr]].GetZ());
currNode.upperPoint = Vector(samples[sortArray[to]].GetX(),
samples[sortArray[this->numOfSamples + to]].GetY(),
samples[sortArray[(this->numOfSamples << 1) + to]].GetZ());
if (currNode.population <= this->maxNodePopulation) {
currNode.leftIndex = currNode.rightIndex = -1;
currNode.sampleList = new int [currNode.population];
for (int i = fr; i <= to; i++)
currNode.sampleList[i - fr] = sortArray[i];
return;
}
currNode.sampleList = NULL;
currNode.leftIndex = ++cnt;
currNode.rightIndex = ++cnt;
double spanLength[] = {currNode.upperPoint.GetX() - currNode.lowerPoint.GetX(),
currNode.upperPoint.GetY() - currNode.lowerPoint.GetY(),
currNode.upperPoint.GetZ() - currNode.lowerPoint.GetZ()};
int dim = 0;
for (int i = 1; i < 3; i++)
if (spanLength[i] > spanLength[dim])
dim = i;
double splittingPosition = this->GetSplittingPositionByIntersectionRate(fr, to, sortArray + dim * this->numOfSamples, dim,
currNode.lowerPoint, currNode.upperPoint,
accumulativeTop, accumulativeBottom);
int l1, l2;
for (int d = 0; d < 3; d++) {
l1 = l2 = 0;
int *arr = sortArray + d * this->numOfSamples;
for (int i = fr; i <= to; i++)
if (GetVectorComponent(this->samples[arr[i]], dim) <= splittingPosition)
arr[fr + l1++] = arr[i];
else
assistArray[fr + l2++] = arr[i];
for (int i = 0; i < l2; i++)
arr[fr + l1++] = assistArray[fr + i];
}
this->RecursiveBuildByIntersectionRate(nodes[currNode.leftIndex], cnt, fr, to - l2, sortArray, assistArray, accumulativeTop, accumulativeBottom);
this->RecursiveBuildByIntersectionRate(nodes[currNode.rightIndex], cnt, to - l2 + 1, to, sortArray, assistArray, accumulativeTop, accumulativeBottom);
}
std::string AbstractParameterisedSystem<VECTOR>::GetStateMessage(const std::string& rMessage, VECTOR Y)
{
std::stringstream res;
res << rMessage << std::endl << "State:" << std::endl;
assert(rGetStateVariableNames().size()==GetVectorSize(Y));
const std::vector<std::string>& r_units = rGetStateVariableUnits();
for (unsigned i=0; i<GetVectorSize(Y); i++)
{
res << "\t" << rGetStateVariableNames()[i] << ":" << GetVectorComponent(Y, i);
if (!r_units.empty())
{
res << " " << r_units[i];
}
res << std::endl;
}
return res.str();
}
double SampleTree::GetSplittingPositionByIntersectionRate(int fr, int to, int *sortArray, int dim, const Vector &lowerPoint, const Vector &upperPoint, double *accumulativeTop, double *accumulativeBottom) {
accumulativeTop[to] = accumulativeBottom[to] = GetVectorComponent(this->samples[sortArray[to]], (dim + 1) % 3);
accumulativeTop[to + this->numOfSamples] = accumulativeBottom[to + this->numOfSamples] = GetVectorComponent(this->samples[sortArray[to]], (dim + 2) % 3);
for (int i = to - 1; i >= fr; i--) {
double v1 = GetVectorComponent(this->samples[sortArray[i]], (dim + 1) % 3);
double v2 = GetVectorComponent(this->samples[sortArray[i]], (dim + 2) % 3);
accumulativeTop[i] = std::max(accumulativeTop[i + 1], v1);
accumulativeBottom[i] = std::min(accumulativeBottom[i + 1], v1);
accumulativeTop[i + this->numOfSamples] = std::max(accumulativeTop[i + 1 + this->numOfSamples], v2);
accumulativeBottom[i + this->numOfSamples] = std::min(accumulativeBottom[i + 1 + this->numOfSamples], v2);
}
int lowerBound, upperBound;
double top[2], bottom[2];
top[0] = bottom[0] = GetVectorComponent(samples[sortArray[fr]], (dim + 1) % 3);
top[1] = bottom[1] = GetVectorComponent(samples[sortArray[fr]], (dim + 2) % 3);
double bestExpectation = -1;
int bestUpperBound;
for (lowerBound = fr; lowerBound < to; lowerBound = upperBound) {
double pos = GetVectorComponent(this->samples[sortArray[lowerBound]], dim);
for (upperBound = lowerBound; upperBound <= to && GetVectorComponent(this->samples[sortArray[upperBound]], dim) == pos; upperBound++) {
double v1 = GetVectorComponent(this->samples[sortArray[upperBound]], (dim + 1) % 3);
double v2 = GetVectorComponent(this->samples[sortArray[upperBound]], (dim + 2) % 3);
top[0] = std::max(top[0], v1);
bottom[0] = std::min(bottom[0], v1);
top[1] = std::max(top[1], v2);
bottom[1] = std::max(bottom[1], v2);
}
if (upperBound > to) break;
double p1 = Sqr(GetVectorComponent(upperPoint, dim) - GetVectorComponent(lowerPoint, dim)) -
Sqr(GetVectorComponent(this->samples[sortArray[fr]], dim) - GetVectorComponent(lowerPoint, dim)) -
Sqr(GetVectorComponent(upperPoint, dim) - GetVectorComponent(this->samples[sortArray[upperBound - 1]], dim));
double p2 = Sqr(GetVectorComponent(upperPoint, (dim + 1) % 3) - GetVectorComponent(lowerPoint, (dim + 1) % 3)) -
Sqr(bottom[0] - GetVectorComponent(lowerPoint, (dim + 1) % 3)) -
Sqr(GetVectorComponent(upperPoint, (dim + 1) % 3) - top[0]);
double p3 = Sqr(GetVectorComponent(upperPoint, (dim + 2) % 3) - GetVectorComponent(lowerPoint, (dim + 2) % 3)) -
Sqr(bottom[1] - GetVectorComponent(lowerPoint, (dim + 2) % 3)) -
Sqr(GetVectorComponent(upperPoint, (dim + 2) % 3) - top[1]);
double expectation1 = p1 * p2 * p3 * (upperBound - fr);
p1 = Sqr(GetVectorComponent(upperPoint, dim) - GetVectorComponent(lowerPoint, dim)) -
Sqr(GetVectorComponent(this->samples[sortArray[upperBound]], dim) - GetVectorComponent(lowerPoint, dim)) -
Sqr(GetVectorComponent(upperPoint, dim) - GetVectorComponent(this->samples[sortArray[to]], dim));
p2 = Sqr(GetVectorComponent(upperPoint, (dim + 1) % 3) - GetVectorComponent(lowerPoint, (dim + 1) % 3)) -
Sqr(accumulativeBottom[upperBound] - GetVectorComponent(lowerPoint, (dim + 1) % 3)) -
Sqr(GetVectorComponent(upperPoint, (dim + 1) % 3) - accumulativeTop[upperBound]);
p3 = Sqr(GetVectorComponent(upperPoint, (dim + 2) % 3) - GetVectorComponent(lowerPoint, (dim + 2) % 3)) -
Sqr(accumulativeBottom[upperBound + this->numOfSamples] - GetVectorComponent(lowerPoint, (dim + 2) % 3)) -
Sqr(GetVectorComponent(upperPoint, (dim + 2) % 3) - accumulativeTop[upperBound + this->numOfSamples]);
double expectation2 = p1 * p2 * p3 * (to - upperBound + 1);
double expectation = expectation1 + expectation2;
if (bestExpectation < 0 || expectation < bestExpectation) {
bestExpectation = expectation;
bestUpperBound = upperBound;
}
}
return GetVectorComponent(this->samples[sortArray[bestUpperBound - 1]], dim);
}
void ParameterisedCvode::EvaluateYDerivatives(double time, const N_Vector rY, N_Vector rDY)
{
NV_Ith_S(rDY, 0) = GetVectorComponent(mParameters,0);
}
