pkgsrc/math/arpack/patches/patch-ARmake.inc
asau c0dee90348 Import ARPACK 96 as math/arpack.
Contributed to pkgsrc-wip by Jason Bacon.

ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.

The package is designed to compute a few eigenvalues and corresponding
eigenvectors of a general n by n matrix A. It is most appropriate for large
sparse or structured matrices A where structured means that a matrix-vector
product w <- Av requires order n rather than the usual order n**2 floating
point operations. This software is based upon an algorithmic variant of the
Arnoldi process called the Implicitly Restarted Arnoldi Method (IRAM). When
the matrix A is symmetric it reduces to a variant of the Lanczos process
called the Implicitly Restarted Lanczos Method (IRLM). These variants may be
viewed as a synthesis of the Arnoldi/Lanczos process with the Implicitly
Shifted QR technique that is suitable for large scale problems. For many
standard problems, a matrix factorization is not required. Only the action
of the matrix on a vector is needed.  ARPACK software is capable of solving
large scale symmetric, nonsymmetric, and generalized eigenproblems from
significant application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest real part
or largest magnitude.  Storage requirements are on the order of n*k locations.
No auxiliary storage is required. A set of Schur basis vectors for the desired
k-dimensional eigen-space is computed which is numerically orthogonal to working
precision. Numerically accurate eigenvectors are available on request.

Important Features:

    o  Reverse Communication Interface.
    o  Single and Double Precision Real Arithmetic Versions for Symmetric,
       Non-symmetric, Standard or Generalized Problems.
    o  Single and Double Precision Complex Arithmetic Versions for Standard
       or Generalized Problems.
    o  Routines for Banded Matrices - Standard or Generalized Problems.
    o  Routines for The Singular Value Decomposition.
    o  Example driver routines that may be used as templates to implement
       numerous Shift-Invert strategies for all problem types, data types
       and precision.
2012-05-29 16:38:01 +00:00

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$NetBSD: patch-ARmake.inc,v 1.1.1.1 2012/05/29 16:38:01 asau Exp $
--- ARmake.inc.orig 1996-04-26 19:12:57.000000000 +0000
+++ ARmake.inc
@@ -25,14 +25,14 @@
# | other than your home directory. |
# %--------------------------------------%
#
-home = $(HOME)/ARPACK
+home = ${WRKSRC}
#
# %--------------------------------------%
# | The platform identifier to suffix to |
# | the end of library names |
# %--------------------------------------%
#
-PLAT = SUN4
+# PLAT = SUN4
#
# %------------------------------------------------------%
# | The directories to find the various pieces of ARPACK |
@@ -57,7 +57,7 @@ DIRS = $(BLASdir) $(LAPACKdir) $(
# | The name of the libraries to be created/linked to |
# %---------------------------------------------------%
#
-ARPACKLIB = $(home)/libarpack_$(PLAT).a
+ARPACKLIB = $(home)/libarpack.a
LAPACKLIB =
BLASLIB =
#
@@ -101,8 +101,9 @@ ALIBS = $(ARPACKLIB) $(LAPACKLIB) $(BLA
# | for your system. |
# %-----------------------------------------%
#
-FC = f77
-FFLAGS = -O -cg89
+# Provided by pkgsrc
+# FC = gfortran
+FFLAGS = -O -fPIC
LDFLAGS =
CD = cd
@@ -112,7 +113,7 @@ ECHO = echo
LN = ln
LNFLAGS = -s
-MAKE = /bin/make
+# MAKE = /bin/make
RM = rm
RMFLAGS = -f