|  | @ -17,14 +17,14 @@ namespace storm { | 
		
	
		
			
				|  |  | 			storm::settings::modules::GeneralSettings const& generalSettings = storm::settings::generalSettings(); |  |  | 			storm::settings::modules::GeneralSettings const& generalSettings = storm::settings::generalSettings(); | 
		
	
		
			
				|  |  |              |  |  |              | 
		
	
		
			
				|  |  |             // Get appropriate settings.
 |  |  |             // Get appropriate settings.
 | 
		
	
		
			
				|  |  |             maximalNumberOfIterations = settings.getMaximalIterationCount(); |  |  |  | 
		
	
		
			
				|  |  | 			precision = settings.getPrecision();             |  |  | 			precision = settings.getPrecision();             | 
		
	
		
			
				|  |  |             relative = settings.getConvergenceCriterion() == storm::settings::modules::GmmxxEquationSolverSettings::ConvergenceCriterion::Relative; |  |  |             relative = settings.getConvergenceCriterion() == storm::settings::modules::GmmxxEquationSolverSettings::ConvergenceCriterion::Relative; | 
		
	
		
			
				|  |  |  |  |  | 			maximalNumberOfIterations = settings.getMaximalIterationCount(); | 
		
	
		
			
				|  |  | 			useValueIteration = (generalSettings.getMinMaxEquationSolvingTechnique() == storm::settings::modules::GeneralSettings::MinMaxTechnique::ValueIteration); |  |  | 			useValueIteration = (generalSettings.getMinMaxEquationSolvingTechnique() == storm::settings::modules::GeneralSettings::MinMaxTechnique::ValueIteration); | 
		
	
		
			
				|  |  |         } |  |  |         } | 
		
	
		
			
				|  |  |          |  |  |          | 
		
	
		
			
				|  |  |         template<typename ValueType> |  |  |         template<typename ValueType> | 
		
	
		
			
				|  |  | 		GmmxxMinMaxLinearEquationSolver<ValueType>::GmmxxMinMaxLinearEquationSolver(storm::storage::SparseMatrix<ValueType> const& A, double precision, uint_fast64_t maximalNumberOfIterations, bool useValueIteration, bool relative) : gmmxxMatrix(storm::adapters::GmmxxAdapter::toGmmxxSparseMatrix<ValueType>(A)), stormMatrix(A), rowGroupIndices(A.getRowGroupIndices()), precision(precision), maximalNumberOfIterations(maximalNumberOfIterations), useValueIteration(useValueIteration), relative(relative) { |  |  |  | 
		
	
		
			
				|  |  |  |  |  | 		GmmxxMinMaxLinearEquationSolver<ValueType>::GmmxxMinMaxLinearEquationSolver(storm::storage::SparseMatrix<ValueType> const& A, double precision, uint_fast64_t maximalNumberOfIterations, bool useValueIteration, bool relative) : gmmxxMatrix(storm::adapters::GmmxxAdapter::toGmmxxSparseMatrix<ValueType>(A)), stormMatrix(A), rowGroupIndices(A.getRowGroupIndices()), precision(precision), relative(relative), maximalNumberOfIterations(maximalNumberOfIterations), useValueIteration(useValueIteration) { | 
		
	
		
			
				|  |  |             // Intentionally left empty.
 |  |  |             // Intentionally left empty.
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				|  |  |         } |  |  |         } | 
		
	
		
			
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				|  | @ -96,7 +96,7 @@ namespace storm { | 
		
	
		
			
				|  |  | 			} else { |  |  | 			} else { | 
		
	
		
			
				|  |  | 				// We will use Policy Iteration to solve the given system.
 |  |  | 				// We will use Policy Iteration to solve the given system.
 | 
		
	
		
			
				|  |  | 				// We first guess an initial choice resolution which will be refined after each iteration.
 |  |  | 				// We first guess an initial choice resolution which will be refined after each iteration.
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				|  |  | 				std::vector<storm::storage::SparseMatrix<ValueType>::index_type> choiceVector(rowGroupIndices.size() - 1); |  |  |  | 
		
	
		
			
				|  |  |  |  |  | 				std::vector<typename storm::storage::SparseMatrix<ValueType>::index_type> choiceVector(rowGroupIndices.size() - 1); | 
		
	
		
			
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				|  |  | 				// Create our own multiplyResult for solving the deterministic sub-instances.
 |  |  | 				// Create our own multiplyResult for solving the deterministic sub-instances.
 | 
		
	
		
			
				|  |  | 				std::vector<ValueType> deterministicMultiplyResult(rowGroupIndices.size() - 1); |  |  | 				std::vector<ValueType> deterministicMultiplyResult(rowGroupIndices.size() - 1); | 
		
	
	
		
			
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