|
|
@ -191,7 +191,7 @@ namespace storm { |
|
|
|
ValueType SparseMarkovAutomatonCslHelper::poisson(ValueType lambda, uint64_t i) { |
|
|
|
ValueType res = pow(lambda, i); |
|
|
|
ValueType fac = 1; |
|
|
|
for (long j = i ; j>0 ; j--){ |
|
|
|
for (uint64_t j = i ; j>0 ; j--){ |
|
|
|
fac = fac *j; |
|
|
|
} |
|
|
|
res = res / fac ; |
|
|
@ -206,7 +206,7 @@ namespace storm { |
|
|
|
auto rowGroupIndices = fullTransitionMatrix.getRowGroupIndices(); |
|
|
|
|
|
|
|
ValueType res =0; |
|
|
|
for (uint_fast64_t i = k ; i < N ; i++ ){ |
|
|
|
for (uint64_t i = k ; i < N ; i++ ){ |
|
|
|
if (wu[N-1-(i-k)][node]==-1){ |
|
|
|
calculateWu((N-1-(i-k)),node,lambda,wu,fullTransitionMatrix,markovianStates,psiStates); |
|
|
|
} |
|
|
@ -287,9 +287,10 @@ namespace storm { |
|
|
|
|
|
|
|
//goal state
|
|
|
|
if (psiStates[node]){ |
|
|
|
res = 0; |
|
|
|
res = storm::utility::zero<ValueType>(); |
|
|
|
for (uint64_t i = k ; i<N ; i++){ |
|
|
|
res+=poisson(lambda,i); |
|
|
|
ValueType between = poisson(lambda,i); |
|
|
|
res+=between; |
|
|
|
} |
|
|
|
vd[k][node]=res; |
|
|
|
logfile << "goal state node " << node << " res = " << res << "\n"; |
|
|
@ -352,14 +353,42 @@ namespace storm { |
|
|
|
std::vector<std::vector<ValueType>> vd,vu,wu; |
|
|
|
|
|
|
|
//transition matrix with diagonal entries. The values can be changed during uniformisation
|
|
|
|
std::vector<ValueType> exitRate{exitRateVector}; |
|
|
|
typename storm::storage::SparseMatrix<ValueType> fullTransitionMatrix = transitionMatrix.getSubmatrix(true, allStates , allStates , true); |
|
|
|
auto rowGroupIndices = fullTransitionMatrix.getRowGroupIndices(); |
|
|
|
std::vector<ValueType> exitRate{exitRateVector}; |
|
|
|
|
|
|
|
//delete prob-diagonal entries
|
|
|
|
for (uint64_t i =0; i<fullTransitionMatrix.getRowGroupCount(); i++) { |
|
|
|
if (markovianStates[i]) { |
|
|
|
continue; |
|
|
|
} |
|
|
|
auto from = rowGroupIndices[i]; |
|
|
|
auto to = rowGroupIndices[i + 1]; |
|
|
|
for (uint64_t j = from; j < to; j++) { |
|
|
|
ValueType selfLoop = 0; |
|
|
|
for (auto& element: fullTransitionMatrix.getRow(j)){ |
|
|
|
if (element.getColumn()==i){ |
|
|
|
selfLoop = element.getValue(); |
|
|
|
} |
|
|
|
} |
|
|
|
if (selfLoop==0){ |
|
|
|
continue; |
|
|
|
} |
|
|
|
for (auto& element : fullTransitionMatrix.getRow(j)){ |
|
|
|
if (element.getColumn()!=i && selfLoop!=1){ |
|
|
|
element.setValue(element.getValue()/(1-selfLoop)); |
|
|
|
} else { |
|
|
|
element.setValue(0); |
|
|
|
} |
|
|
|
} |
|
|
|
} |
|
|
|
} |
|
|
|
|
|
|
|
|
|
|
|
//(1) define horizon, epsilon, kappa , N, lambda,
|
|
|
|
uint64_t numberOfStates = fullTransitionMatrix.getRowGroupCount(); |
|
|
|
double T = boundsPair.second; |
|
|
|
ValueType kappa = storm::utility::one<ValueType>() /10; // would be better as option-parameter
|
|
|
|
uint64_t numberOfStates = fullTransitionMatrix.getRowGroupCount(); |
|
|
|
ValueType epsilon = storm::settings::getModule<storm::settings::modules::GeneralSettings>().getPrecision(); |
|
|
|
ValueType lambda = exitRateVector[0]; |
|
|
|
for (ValueType act: exitRateVector) { |
|
|
|