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author | markd <markd> | 2009-01-10 01:02:47 +0000 |
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committer | markd <markd> | 2009-01-10 01:02:47 +0000 |
commit | ee3ae450450a82c50beacb16a7ab03873e170072 (patch) | |
tree | 3df20da8660df33db3f731a16dde102a3d05bd7a /math/eigen2 | |
parent | 2bb7742625f685b30349cfde3f85deb4b2ad63bd (diff) | |
download | pkgsrc-ee3ae450450a82c50beacb16a7ab03873e170072.tar.gz |
Initial import of eigen 2.0beta5
Eigen 2 is a C++ template library for linear algebra: vectors, matrices, and
related algorithms. It is:
* Versatile. Eigen handles, without code duplication, and in a completely
integrated way:
o both fixed-size and dynamic-size matrices and vectors.
o both dense and sparse (the latter is still experimental) matrices and
vectors.
o both plain matrices/vectors and abstract expressions.
o both column-major (the default) and row-major matrix storage.
o both basic matrix/vector manipulation and many more advanced, specialized
modules providing algorithms for linear algebra, geometry, quaternions,
or advanced array manipulation.
* Fast.
o Expression templates allow to intelligently remove temporaries and enable
lazy evaluation, when that is appropriate -- Eigen takes care of this
automatically and handles aliasing too in most cases.
o Explicit vectorization is performed for the SSE (2 and later) and AltiVec
instruction sets, with graceful fallback to non-vectorized code.
Expression templates allow to perform these optimizations globally for
whole expressions.
o With fixed-size objects, dynamic memory allocation is avoided, and the
loops are unrolled when that makes sense.
o For large matrices, special attention is paid to cache-friendliness.
* Elegant. The API is extremely clean and expressive, thanks to expression
templates. Implementing an algorithm on top of Eigen feels like just copying
pseudocode. You can use complex expressions and still rely on Eigen to
produce optimized code: there is no need for you to manually decompose
expressions into small steps.
* Compiler-friendy. Eigen has very reasonable compilation times at least with
GCC, compared to other C++ libraries based on expression templates and heavy
metaprogramming. Eigen is also standard C++ and supports various compilers.
Diffstat (limited to 'math/eigen2')
-rw-r--r-- | math/eigen2/DESCR | 31 | ||||
-rw-r--r-- | math/eigen2/Makefile | 20 | ||||
-rw-r--r-- | math/eigen2/PLIST | 124 | ||||
-rw-r--r-- | math/eigen2/buildlink3.mk | 20 | ||||
-rw-r--r-- | math/eigen2/distinfo | 5 |
5 files changed, 200 insertions, 0 deletions
diff --git a/math/eigen2/DESCR b/math/eigen2/DESCR new file mode 100644 index 00000000000..38332b7f76d --- /dev/null +++ b/math/eigen2/DESCR @@ -0,0 +1,31 @@ +Eigen 2 is a C++ template library for linear algebra: vectors, matrices, and +related algorithms. It is: +* Versatile. Eigen handles, without code duplication, and in a completely + integrated way: + o both fixed-size and dynamic-size matrices and vectors. + o both dense and sparse (the latter is still experimental) matrices and + vectors. + o both plain matrices/vectors and abstract expressions. + o both column-major (the default) and row-major matrix storage. + o both basic matrix/vector manipulation and many more advanced, specialized + modules providing algorithms for linear algebra, geometry, quaternions, + or advanced array manipulation. +* Fast. + o Expression templates allow to intelligently remove temporaries and enable + lazy evaluation, when that is appropriate -- Eigen takes care of this + automatically and handles aliasing too in most cases. + o Explicit vectorization is performed for the SSE (2 and later) and AltiVec + instruction sets, with graceful fallback to non-vectorized code. + Expression templates allow to perform these optimizations globally for + whole expressions. + o With fixed-size objects, dynamic memory allocation is avoided, and the + loops are unrolled when that makes sense. + o For large matrices, special attention is paid to cache-friendliness. +* Elegant. The API is extremely clean and expressive, thanks to expression + templates. Implementing an algorithm on top of Eigen feels like just copying + pseudocode. You can use complex expressions and still rely on Eigen to + produce optimized code: there is no need for you to manually decompose + expressions into small steps. +* Compiler-friendy. Eigen has very reasonable compilation times at least with + GCC, compared to other C++ libraries based on expression templates and heavy + metaprogramming. Eigen is also standard C++ and supports various compilers. diff --git a/math/eigen2/Makefile b/math/eigen2/Makefile new file mode 100644 index 00000000000..505bd21d938 --- /dev/null +++ b/math/eigen2/Makefile @@ -0,0 +1,20 @@ +# $NetBSD: Makefile,v 1.1.1.1 2009/01/10 01:02:47 markd Exp $ + +DISTNAME= eigen-2.0-beta5 +PKGNAME= ${DISTNAME:S/-beta/beta/} +CATEGORIES= math +MASTER_SITES= http://download.tuxfamily.org/eigen/ +EXTRACT_SUFX= .tar.bz2 + +MAINTAINER= pkgsrc-users@NetBSD.org +HOMEPAGE= http://eigen.tuxfamily.org/ +COMMENT= C++ template library for linear algebra + +USE_LANGUAGES+= c c++ +USE_CMAKE= yes + +WRKSRC= ${WRKDIR}/eigen2 + +PKG_DESTDIR_SUPPORT= user-destdir + +.include "../../mk/bsd.pkg.mk" diff --git a/math/eigen2/PLIST b/math/eigen2/PLIST new file mode 100644 index 00000000000..fbe77fad546 --- /dev/null +++ b/math/eigen2/PLIST @@ -0,0 +1,124 @@ +@comment $NetBSD: PLIST,v 1.1.1.1 2009/01/10 01:02:47 markd Exp $ +include/eigen2/Eigen/Array +include/eigen2/Eigen/Cholesky +include/eigen2/Eigen/Core +include/eigen2/Eigen/Geometry +include/eigen2/Eigen/LU +include/eigen2/Eigen/LeastSquares +include/eigen2/Eigen/QR +include/eigen2/Eigen/Regression +include/eigen2/Eigen/SVD +include/eigen2/Eigen/Sparse +include/eigen2/Eigen/src/Array/AllAndAny.h +include/eigen2/Eigen/src/Array/CwiseOperators.h +include/eigen2/Eigen/src/Array/Functors.h +include/eigen2/Eigen/src/Array/Norms.h +include/eigen2/Eigen/src/Array/PartialRedux.h +include/eigen2/Eigen/src/Array/Random.h +include/eigen2/Eigen/src/Array/Select.h +include/eigen2/Eigen/src/Cholesky/Cholesky.h +include/eigen2/Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h +include/eigen2/Eigen/src/Cholesky/LDLT.h +include/eigen2/Eigen/src/Cholesky/LLT.h +include/eigen2/Eigen/src/Core/Assign.h +include/eigen2/Eigen/src/Core/Block.h +include/eigen2/Eigen/src/Core/CacheFriendlyProduct.h +include/eigen2/Eigen/src/Core/Coeffs.h +include/eigen2/Eigen/src/Core/CommaInitializer.h +include/eigen2/Eigen/src/Core/Cwise.h +include/eigen2/Eigen/src/Core/CwiseBinaryOp.h +include/eigen2/Eigen/src/Core/CwiseNullaryOp.h +include/eigen2/Eigen/src/Core/CwiseUnaryOp.h +include/eigen2/Eigen/src/Core/DiagonalCoeffs.h +include/eigen2/Eigen/src/Core/DiagonalMatrix.h +include/eigen2/Eigen/src/Core/DiagonalProduct.h +include/eigen2/Eigen/src/Core/Dot.h +include/eigen2/Eigen/src/Core/Flagged.h +include/eigen2/Eigen/src/Core/Functors.h +include/eigen2/Eigen/src/Core/Fuzzy.h +include/eigen2/Eigen/src/Core/GenericPacketMath.h +include/eigen2/Eigen/src/Core/IO.h +include/eigen2/Eigen/src/Core/Map.h +include/eigen2/Eigen/src/Core/MapBase.h +include/eigen2/Eigen/src/Core/MathFunctions.h +include/eigen2/Eigen/src/Core/Matrix.h +include/eigen2/Eigen/src/Core/MatrixBase.h +include/eigen2/Eigen/src/Core/MatrixStorage.h +include/eigen2/Eigen/src/Core/Minor.h +include/eigen2/Eigen/src/Core/NestByValue.h +include/eigen2/Eigen/src/Core/NumTraits.h +include/eigen2/Eigen/src/Core/Part.h +include/eigen2/Eigen/src/Core/Product.h +include/eigen2/Eigen/src/Core/Redux.h +include/eigen2/Eigen/src/Core/SolveTriangular.h +include/eigen2/Eigen/src/Core/Sum.h +include/eigen2/Eigen/src/Core/Swap.h +include/eigen2/Eigen/src/Core/Transpose.h +include/eigen2/Eigen/src/Core/Visitor.h +include/eigen2/Eigen/src/Core/arch/AltiVec/PacketMath.h +include/eigen2/Eigen/src/Core/arch/SSE/PacketMath.h +include/eigen2/Eigen/src/Core/util/Constants.h +include/eigen2/Eigen/src/Core/util/DisableMSVCWarnings.h +include/eigen2/Eigen/src/Core/util/EnableMSVCWarnings.h +include/eigen2/Eigen/src/Core/util/ForwardDeclarations.h +include/eigen2/Eigen/src/Core/util/Macros.h +include/eigen2/Eigen/src/Core/util/Memory.h +include/eigen2/Eigen/src/Core/util/Meta.h +include/eigen2/Eigen/src/Core/util/StaticAssert.h +include/eigen2/Eigen/src/Core/util/XprHelper.h +include/eigen2/Eigen/src/Geometry/AlignedBox.h +include/eigen2/Eigen/src/Geometry/AngleAxis.h +include/eigen2/Eigen/src/Geometry/EulerAngles.h +include/eigen2/Eigen/src/Geometry/Hyperplane.h +include/eigen2/Eigen/src/Geometry/OrthoMethods.h +include/eigen2/Eigen/src/Geometry/ParametrizedLine.h +include/eigen2/Eigen/src/Geometry/Quaternion.h +include/eigen2/Eigen/src/Geometry/Rotation2D.h +include/eigen2/Eigen/src/Geometry/RotationBase.h +include/eigen2/Eigen/src/Geometry/Scaling.h +include/eigen2/Eigen/src/Geometry/Transform.h +include/eigen2/Eigen/src/Geometry/Translation.h +include/eigen2/Eigen/src/LU/Determinant.h +include/eigen2/Eigen/src/LU/Inverse.h +include/eigen2/Eigen/src/LU/LU.h +include/eigen2/Eigen/src/QR/EigenSolver.h +include/eigen2/Eigen/src/QR/HessenbergDecomposition.h +include/eigen2/Eigen/src/QR/QR.h +include/eigen2/Eigen/src/QR/SelfAdjointEigenSolver.h +include/eigen2/Eigen/src/QR/Tridiagonalization.h +include/eigen2/Eigen/src/Regression/Regression.h +include/eigen2/Eigen/src/SVD/SVD.h +include/eigen2/Eigen/src/Sparse/AmbiVector.h +include/eigen2/Eigen/src/Sparse/CholmodSupport.h +include/eigen2/Eigen/src/Sparse/CoreIterators.h +include/eigen2/Eigen/src/Sparse/RandomSetter.h +include/eigen2/Eigen/src/Sparse/SparseArray.h +include/eigen2/Eigen/src/Sparse/SparseBlock.h +include/eigen2/Eigen/src/Sparse/SparseLDLT.h +include/eigen2/Eigen/src/Sparse/SparseLLT.h +include/eigen2/Eigen/src/Sparse/SparseLU.h +include/eigen2/Eigen/src/Sparse/SparseMatrix.h +include/eigen2/Eigen/src/Sparse/SparseMatrixBase.h +include/eigen2/Eigen/src/Sparse/SparseProduct.h +include/eigen2/Eigen/src/Sparse/SparseUtil.h +include/eigen2/Eigen/src/Sparse/SparseVector.h +include/eigen2/Eigen/src/Sparse/SuperLUSupport.h +include/eigen2/Eigen/src/Sparse/TaucsSupport.h +include/eigen2/Eigen/src/Sparse/TriangularSolver.h +include/eigen2/Eigen/src/Sparse/UmfPackSupport.h +@dirrm include/eigen2/Eigen/src/Sparse +@dirrm include/eigen2/Eigen/src/SVD +@dirrm include/eigen2/Eigen/src/Regression +@dirrm include/eigen2/Eigen/src/QR +@dirrm include/eigen2/Eigen/src/LU +@dirrm include/eigen2/Eigen/src/Geometry +@dirrm include/eigen2/Eigen/src/Core/util +@dirrm include/eigen2/Eigen/src/Core/arch/SSE +@dirrm include/eigen2/Eigen/src/Core/arch/AltiVec +@dirrm include/eigen2/Eigen/src/Core/arch +@dirrm include/eigen2/Eigen/src/Core +@dirrm include/eigen2/Eigen/src/Cholesky +@dirrm include/eigen2/Eigen/src/Array +@dirrm include/eigen2/Eigen/src +@dirrm include/eigen2/Eigen +@dirrm include/eigen2 diff --git a/math/eigen2/buildlink3.mk b/math/eigen2/buildlink3.mk new file mode 100644 index 00000000000..abe58f29fbb --- /dev/null +++ b/math/eigen2/buildlink3.mk @@ -0,0 +1,20 @@ +# $NetBSD: buildlink3.mk,v 1.1.1.1 2009/01/10 01:02:47 markd Exp $ + +BUILDLINK_DEPTH:= ${BUILDLINK_DEPTH}+ +EIGEN_BUILDLINK3_MK:= ${EIGEN_BUILDLINK3_MK}+ + +.if ${BUILDLINK_DEPTH} == "+" +BUILDLINK_DEPENDS+= eigen +.endif + +BUILDLINK_PACKAGES:= ${BUILDLINK_PACKAGES:Neigen} +BUILDLINK_PACKAGES+= eigen +BUILDLINK_ORDER:= ${BUILDLINK_ORDER} ${BUILDLINK_DEPTH}eigen + +.if ${EIGEN_BUILDLINK3_MK} == "+" +BUILDLINK_API_DEPENDS.eigen+= eigen>=2.0beta3 +BUILDLINK_PKGSRCDIR.eigen?= ../../math/eigen2 +BUILDLINK_DEPMETHOD.eigen?= build +.endif # EIGEN_BUILDLINK3_MK + +BUILDLINK_DEPTH:= ${BUILDLINK_DEPTH:S/+$//} diff --git a/math/eigen2/distinfo b/math/eigen2/distinfo new file mode 100644 index 00000000000..538eaea09e8 --- /dev/null +++ b/math/eigen2/distinfo @@ -0,0 +1,5 @@ +$NetBSD: distinfo,v 1.1.1.1 2009/01/10 01:02:47 markd Exp $ + +SHA1 (eigen-2.0-beta5.tar.bz2) = 045155ddd498f43168d197547fdc86755497a7a8 +RMD160 (eigen-2.0-beta5.tar.bz2) = 8cf6b34f2499d7016f62419a8eae555988ec234b +Size (eigen-2.0-beta5.tar.bz2) = 320560 bytes |