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1037 Commits
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187 MiB
C++ 97.8%
CMake 1.4%
Raku 0.4%
Cuda 0.3%
 
 
 
 
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dehnert dabfb5e1dd
First working version of LRA computation for Markov automata.
Former-commit-id: d6c6870fd8
12 years ago
..
functional Sparse matrix can now also be used without knowing the number of rows/columns/nonzeros upfront. Adapted ExplicitModelAdapter to use that capability to not explore the state space twice. Added support for Z3 to CMakeLists.txt. Added correct submatrix checks for transition rewards in MDPs. Extended a test for the ExplicitModelAdapter a bit. 12 years ago
performance Refactored SCC-Decomposition design as a preparation step for computing maximal end components of Markov automata. 12 years ago
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