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Created with Raphaël 2.2.06Dec5432130Nov2928262221201918171615141312111098765432131Oct30292725242322211917167643229Sep28272423222019181716151312111098765432131Aug29282726252423222120191716151413976532122Jul20191514131198765432128Jun2220Set CUDA_ARCH_HOST_COMPILER to in the build scriptImproved Object documentation.Added ListExample.Moved getNonZeroRowLengthCudaKernal to SparseRow_impl.h and indentified errors in SparseRow_impl.h . Commiting for backup purposes.Added ListExample and ConfigDescriptionExample.Added LoggerExample.Deleted useless code, reformatted present code. Still have issues with getNonZeroRowLength. getRow() throws SegFault and so does resultCuda. Commiting for backup purposes.Commented out unnecessary tests for testing of CUDA function getNonZeroRowLength.Attempted to fix non-working CUDA code for getting non-zero elements ofAdded explanation of __cuda_callable__Added ConfigDescription documenattion.Added computing of non-zero elements in matrix row for CUDA.Fixed unclosed comment in Assert.hRe-added back all tests, including CPU and GPU. Re-added multi row lengths. Commiting for backup purposes.Changed implementation of method. Commiting for backup purposes.Added ConfigDescription documentation and added small changes in Object, Math and ParameterContainer.Added Object documentation.Improved documentation of Containers/List.Changed implementation of getting Non-Zero elements. Added problem to comments. Commiting for backup purposes.Added elements into set compressed row lengths to test getNonZeroElements correctly. Set the row length to the same value, for easier testing. Commiting for backup purposes.Commented out tests that are not needed to solve issues with CUDA illegal memory access.Reformatted getNonZeroRowLength to pass on the device Type in string and thus enable the lambda in SparseRow_impl.hModified the ParameterContainer documentation.Added Assert documentation.Tried using std::vector to avoid having to implement DeviceType into SparseRow. Commiting for backup purposes.Added getNonZeroRowLength for backup purposes.Merge branch 'hamilton-jacobi' into 'develop'Deleting legacy code.Moving old code to Legacy.Merge branch 'hamilton-jacobi' of mmg-gitlab.fjfi.cvut.cz:tnl/tnl-dev into hamilton-jacobi3D FSM+FIM implementedEnabled computations with single precision.FIM implemented in 3DLast repair of FIM for GPU.Repair of last commit (error for - wihtout cuda):FIM method implemented for GPU and FIM-FSM implemented for CPU (parallel).FIM method is now faster than chess method but some random error occurs.FIM method implemented. Neighbours are being found on CPU. 3D parallel method disabled because of Array changes.Chess model implemented in 2D.Added documentation of Math, Assert and ParameterContainer.