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Compute steady state for all BSCCs together by solving just one equation system instead of solving an equation system for each BSCC.

Former-commit-id: 74f715c3a8
tempestpy_adaptions
David_Korzeniewski 10 years ago
parent
commit
916c821b3e
  1. 40
      src/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp

40
src/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp

@ -321,6 +321,7 @@ namespace storm {
// First we check which states are in BSCCs. We use this later to speed up reachability analysis // First we check which states are in BSCCs. We use this later to speed up reachability analysis
storm::storage::BitVector statesNotInBsccs(numOfStates, true); storm::storage::BitVector statesNotInBsccs(numOfStates, true);
std::vector<uint_fast64_t> stateToBsccIndexMap(model.getNumberOfStates());
for (uint_fast64_t currentBsccIndex = 0; currentBsccIndex < bsccDecomposition.size(); ++currentBsccIndex) { for (uint_fast64_t currentBsccIndex = 0; currentBsccIndex < bsccDecomposition.size(); ++currentBsccIndex) {
storm::storage::StronglyConnectedComponent const& bscc = bsccDecomposition[currentBsccIndex]; storm::storage::StronglyConnectedComponent const& bscc = bsccDecomposition[currentBsccIndex];
@ -328,9 +329,45 @@ namespace storm {
// Gather information for later use. // Gather information for later use.
for (auto const& state : bscc) { for (auto const& state : bscc) {
statesNotInBsccs.set(state, false); statesNotInBsccs.set(state, false);
stateToBsccIndexMap[state] = currentBsccIndex;
} }
} }
uint_fast64_t numStatesNotInBsccs = statesNotInBsccs.size() - statesNotInBsccs.getNumberOfSetBits();
// calculate steady state distribution for all BSCCs by calculating an eigenvector for the eigenvalue 1 of the transposed transition matrix for the bsccs
std::unique_ptr<storm::solver::LinearEquationSolver<ValueType>> solver = storm::utility::solver::getLinearEquationSolver<ValueType>();
storm::storage::SparseMatrix bsccEquationSystem = transitionMatrix.getSubmatrix(false, !statesNotInBsccs, !statesNotInBsccs, true).transpose();
ValueType one = storm::utility::one<ValueType>();
ValueType zero = storm::utility::zero<ValueType>();
for (index_type row = 0; row < this->getRowCount(); ++row) {
for (auto& entry : this->getRow(row)) {
if (entry.getColumn() == row) {
entry.setValue(entry.getValue() - one);
}
}
}
std::vector<ValueType> bsccEquationSystemRightSide(numStatesNotInBsccs, zero);
std::vector<ValueType> bsccEquationSystemSolution(numStatesNotInBsccs, one);
solver->solveEquationSystem(bsccEquationSystem, bsccEquationSystemSolution, bsccEquationSystemRightSide);
//calculate LRA Value for each BSCC from steady state distribution in BSCCs
// we have to do some scaling, as the probabilities for each BSCC have to sum up to one, which they don't necessarily do in the solution of the equation system
vector<ValueType> bsccLra(bsccDecomposition.size(), zero);
vector<ValueType> bsccTotalValue(bsccDecomposition.size(), zero);
for (size_t i = 0, auto stateIter = !statesNotInBsccs.begin(); stateIter != !statesNotInBsccs.end(); ++i, ++stateIter) {
if (psiStates.get(*stateIter)) {
bsccLra[stateToBsccIndexMap[*stateIter]] += bsccEquationSystemSolution[i];
}
bsccTotalValue[stateToBsccIndexMap[*stateIter]] += bsccEquationSystemSolution[i];
}
for (size_t i = 0; i < bsccLra.size(); ++i) {
bsccLra[i] /= bsccTotalValue[i];
}
// Prepare result vector. // Prepare result vector.
std::vector<ValueType> result(numOfStates); std::vector<ValueType> result(numOfStates);
@ -343,7 +380,8 @@ namespace storm {
statesInThisBscc.set(state); statesInThisBscc.set(state);
} }
ValueType lraForThisBscc = this->computeLraForBSCC(transitionMatrix, psiStates, bscc);
//ValueType lraForThisBscc = this->computeLraForBSCC(transitionMatrix, psiStates, bscc);
ValueType lraForThisBscc = bsccLra[currentBsccIndex];
//the LRA value of a BSCC contributes to the LRA value of a state with the probability of reaching that BSCC from that state //the LRA value of a BSCC contributes to the LRA value of a state with the probability of reaching that BSCC from that state
//thus we add Prob(Eventually statesInThisBscc) * lraForThisBscc to the result vector //thus we add Prob(Eventually statesInThisBscc) * lraForThisBscc to the result vector

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