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@ -1143,11 +1143,7 @@ namespace storm { |
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// Use Fox-Glynn to get the truncation points and the weights.
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storm::utility::numerical::FoxGlynnResult<ValueType> foxGlynnResult = storm::utility::numerical::foxGlynn(lambda, epsilon); |
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STORM_LOG_DEBUG("Fox-Glynn cutoff points: left=" << foxGlynnResult.left << ", right=" << foxGlynnResult.right); |
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// Scale the weights so they add up to one.
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for (auto& element : foxGlynnResult.weights) { |
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element /= foxGlynnResult.totalWeight; |
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} |
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// foxGlynnResult.weights do not sum up to one. This is to enhance numerical stability.
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// If the cumulative reward is to be computed, we need to adjust the weights.
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if (useMixedPoissonProbabilities) { |
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@ -1155,7 +1151,7 @@ namespace storm { |
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for (auto& element : foxGlynnResult.weights) { |
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sum += element; |
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element = (1 - sum) / uniformizationRate; |
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element = (foxGlynnResult.totalWeight - sum) / uniformizationRate; |
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} |
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} |
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@ -1190,6 +1186,10 @@ namespace storm { |
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multiplier->multiply(env, values, nullptr, values); |
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storm::utility::vector::applyPointwise(result, values, result, addAndScale); |
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} |
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// To make sure that the values obtained before the left truncation point have the same 'impact' on the total result as the values obtained
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// between the left and right truncation point, we scale them here with the total sum of the weights.
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// Note that we divide with this value afterwards. This is to improve numerical stability.
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storm::utility::vector::scaleVectorInPlace<ValueType, ValueType>(result, foxGlynnResult.totalWeight); |
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} |
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// For the indices that fall in between the truncation points, we need to perform the matrix-vector
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@ -1203,6 +1203,8 @@ namespace storm { |
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storm::utility::vector::applyPointwise(result, values, result, addAndScale); |
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} |
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// Finally, divide the result by the total weight
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storm::utility::vector::scaleVectorInPlace<ValueType, ValueType>(result, storm::utility::one<ValueType>() / foxGlynnResult.totalWeight); |
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return result; |
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} |
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