DSDP.spec

@@ -1,6 +1,6 @@
 Name:           DSDP
 Version:        5.8
-Release:        40%{?dist}
+Release:        38%{?dist}
 Summary:        Software for semidefinite programming
 
 # The content is DSDP.  The remaining licenses cover the various fonts embedded
@@ -32,20 +32,21 @@ BuildRequires:  make
 BuildRequires:  pkgconfig(flexiblas)
 
 %description
-DSDP is a free open source implementation of an interior-point method for
+DSDP is a free open source implementation of an interior-point method
-semidefinite programming.  It provides primal and dual solutions, exploits
+for semidefinite programming.  It provides primal and dual solutions,
-low-rank structure and sparsity in the data, and has relatively low memory
+exploits low-rank structure and sparsity in the data, and has relatively
-requirements for an interior-point method.  It allows feasible and infeasible
+low memory requirements for an interior-point method.  It allows
-starting points and provides approximate certificates of infeasibility when no
+feasible and infeasible starting points and provides approximate
-feasible solution exists.  The dual-scaling algorithm implemented in this
+certificates of infeasibility when no feasible solution exists.  The
-package has a convergence proof and worst-case polynomial complexity under
+dual-scaling algorithm implemented in this package has a convergence
-mild assumptions on the data.  The software can be used as a set of
+proof and worst-case polynomial complexity under mild assumptions on the
-subroutines, through Matlab, or by reading and writing to data files.
+data.  The software can be used as a set of subroutines, through Matlab,
-Furthermore, the solver offers scalable parallel performance for large
+or by reading and writing to data files.  Furthermore, the solver offers
-problems and a well documented interface.  Some of the most popular
+scalable parallel performance for large problems and a well documented
-applications of semidefinite programming and linear matrix inequalities (LMI)
+interface.  Some of the most popular applications of semidefinite
-are model control, truss topology design, and semidefinite relaxations of
+programming and linear matrix inequalities (LMI) are model control,
-combinatorial and global optimization problems.
+truss topology design, and semidefinite relaxations of combinatorial and
+global optimization problems. 
 
 %package devel
 # The content is DSDP.  The remaining licenses cover the various fonts embedded
@@ -114,7 +115,7 @@ done
 %files
 %doc docs/DSDP5-Exe-UserGuide.pdf docs/DSDP5-P1289-0905.pdf
 %license dsdp-license
-%{_libdir}/libdsdp.so.5{,.*}
+%{_libdir}/libdsdp.so.5*
 
 %files devel
 %doc docs/DSDP5-API-UserGuide.pdf docs/dox
@@ -127,12 +128,6 @@ done
 %{_mandir}/man1/dsdp*
 
 %changelog
-* Fri Jan 16 2026 Fedora Release Engineering <releng@fedoraproject.org> - 5.8-40
-- Rebuilt for https://fedoraproject.org/wiki/Fedora_44_Mass_Rebuild
-
-* Wed Jul 23 2025 Fedora Release Engineering <releng@fedoraproject.org> - 5.8-39
-- Rebuilt for https://fedoraproject.org/wiki/Fedora_43_Mass_Rebuild
-
 * Thu Jan 16 2025 Fedora Release Engineering <releng@fedoraproject.org> - 5.8-38
 - Rebuilt for https://fedoraproject.org/wiki/Fedora_42_Mass_Rebuild