Add Eigen a lightweight C++ template library for vector and matrix math

4 files changed, 64 insertions, 0 deletions

diff --git a/math/eigen/Makefile b/math/eigen/Makefile
new file mode 100644
index 000000000000..aa602cac18ba
--- /dev/null
+++ b/math/eigen/Makefile
@@ -0,0 +1,33 @@
+# New ports collection makefile for:	eigen
+# Date created:				2008-01-18
+# Whom:					arved
+#
+# $FreeBSD$
+
+PORTNAME=	eigen
+PORTVERSION=	1.0.5
+CATEGORIES=	math
+MASTER_SITES=	http://download.tuxfamily.org/eigen/
+
+MAINTAINER=	kde@FreeBSD.org
+COMMENT=	Lightweight library for vector and matrix math
+
+BUILD_DEPENDS=	cmake:${PORTSDIR}/devel/cmake
+
+CMAKE?=		${LOCALBASE}/bin/cmake
+WRKSRC=		${WRKDIR}/${PORTNAME}/build
+MAKE_ENV=	VERBOSE="1"
+CMAKE_ARGS=	-DCMAKE_BUILD_TYPE=DEBUG \
+		-DCMAKE_INSTALL_PREFIX=${PREFIX} \
+		-DCMAKE_C_COMPILER:STRING='${CC}' \
+		-DCMAKE_C_FLAGS:STRING="${CFLAGS}" \
+		-DCMAKE_CXX_COMPILER:STRING=${CXX} \
+		-DCMAKE_CXX_FLAGS:STRING="${CXXFLAGS}"
+
+post-patch:
+	${MKDIR} ${WRKSRC}
+
+do-configure:
+	cd ${WRKSRC}; ${SETENV} ${CONFIGURE_ENV} ${CMAKE} ${CMAKE_ARGS} ..
+
+.include <bsd.port.mk>
diff --git a/math/eigen/distinfo b/math/eigen/distinfo
new file mode 100644
index 000000000000..1a506be0ffdb
--- /dev/null
+++ b/math/eigen/distinfo
@@ -0,0 +1,3 @@
+MD5 (eigen-1.0.5.tar.gz) = 960d7e5fb6542270eae4d53ca99b607c
+SHA256 (eigen-1.0.5.tar.gz) = 6dfc085adc22baf66fa0fde190c8cf37effadbbe62bbfea5966cfd2cc85142d6
+SIZE (eigen-1.0.5.tar.gz) = 59944
diff --git a/math/eigen/pkg-descr b/math/eigen/pkg-descr
new file mode 100644
index 000000000000..2ff2b3b7e356
--- /dev/null
+++ b/math/eigen/pkg-descr
@@ -0,0 +1,15 @@
+Eigen is a lightweight C++ template library for vector and matrix math, a.k.a.
+linear algebra.
+Unlike most other linear algebra libraries, Eigen focuses on the simple
+mathematical needs of applications: games and other OpenGL apps, spreadsheets
+and other office apps, etc. Eigen is dedicated to providing optimal speed with 
+GCC. 
+Its fixed-size classes are specially optimized for small sizes up to 4,
+although it is theoretically possible to specialize them to any size. They
+never cause dynamic memory applications and the simple operations on them are
+as fast as is possible at least for sizes up to 4 (see below). 
+Its dynamic-size classes are more flexible and suitable for larger sizes. 
+Both fixed-size and dynamic-size classes use the same underlying C++ code,
+thanks to a curiously recurring template pattern.
+
+WWW:	http://eigen.tuxfamily.org/
diff --git a/math/eigen/pkg-plist b/math/eigen/pkg-plist
new file mode 100644
index 000000000000..2e8bfb9de2ce
--- /dev/null
+++ b/math/eigen/pkg-plist
@@ -0,0 +1,13 @@
+include/eigen/linearsolver.h
+include/eigen/linearsolverbase.h
+include/eigen/ludecomposition.h
+include/eigen/ludecompositionbase.h
+include/eigen/matrix.h
+include/eigen/matrixbase.h
+include/eigen/projective.h
+include/eigen/util.h
+include/eigen/vector.h
+include/eigen/vectorbase.h
+include/eigen/regressioninternal.h
+include/eigen/regression.h
+@dirrm include/eigen