| Commit message (Collapse) | Author | Age |
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andEigen::numext::isinf on CUDA devices
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finite numbers.
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clang instead of nvcc
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detects and errors out on divisions by 0.
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Static casting scalar types so as to let chlesky module of eigen work with ceres
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functions instead of the one provided in the standard library. The standard library functions aren't supported officially by cuda, so we're better off using the numext implementations.
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Eigen::numext namespace
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devices.
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possible.
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implementation of the < operator on cuda devices.
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Added zeta function of two arguments and polygamma function
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discussion in bug #1173.
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