eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Updates corresponding to the latest round of PR feedback	Deven Desai	2018-07-11
\| \| \| \| \| \| \| \| \| \| \| \| \| \|	The major changes are 1. Moving CUDA/PacketMath.h to GPU/PacketMath.h 2. Moving CUDA/MathFunctions.h to GPU/MathFunction.h 3. Moving CUDA/CudaSpecialFunctions.h to GPU/GpuSpecialFunctions.h The above three changes effectively enable the Eigen "Packet" layer for the HIP platform 4. Merging the "hip_basic" and "cuda_basic" unit tests into one ("gpu_basic") 5. Updating the "EIGEN_DEVICE_FUNC" marking in some places The change has been tested on the HIP and CUDA platforms.
*	Derivative of the incomplete Gamma function and the sample of a Gamma random ↵	Michael Figurnov	2018-06-06
\| \| \| \| \| \| \| \| \| \|	variable. In addition to igamma(a, x), this code implements: * igamma_der_a(a, x) = d igamma(a, x) / da -- derivative of igamma with respect to the parameter * gamma_sample_der_alpha(alpha, sample) -- reparameterization derivative of a Gamma(alpha, 1) random variable sample with respect to the alpha parameter The derivatives are computed by forward mode differentiation of the igamma(a, x) code. Although gamma_sample_der_alpha can be implemented via igamma_der_a, a separate function is more accurate and efficient due to analytical cancellation of some terms. All three functions are implemented by a method parameterized with "mode" that always computes the derivatives, but does not return them unless required by the mode. The compiler is expected to (and, based on benchmarks, does) skip the unnecessary computations depending on the mode.
*	Exponentially scaled modified Bessel functions of order zero and one.	Michael Figurnov	2018-05-31
\| \| \| \| \| \|	The functions are conventionally called i0e and i1e. The exponentially scaled version is more numerically stable. The standard Bessel functions can be obtained as i0(x) = exp(\|x\|) i0e(x) The code is ported from Cephes and tested against SciPy.
*	Special functions require math.h: make sure it is included.	Benoit Steiner	2016-11-02
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*	Move CUDA's special functions to SpecialFunctions module.	Gael Guennebaud	2016-07-11
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*	bug #1232: refactor special functions as a new SpecialFunctions module, ↵	Gael Guennebaud	2016-07-08
	currently in unsupported/.