Source: libdogleg Section: science Priority: optional Build-Depends: debhelper (>= 9.20160114), dh-exec, libsuitesparse-dev | libsuitesparse-metis-dev Maintainer: Debian Science Maintainers Uploaders: Dima Kogan Standards-Version: 3.9.6 Homepage: https://github.com/dkogan/libdogleg Vcs-Git: https://salsa.debian.org/science-team/libdogleg.git Vcs-Browser: https://salsa.debian.org/science-team/libdogleg Package: libdogleg2 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${shlibs:Depends}, ${misc:Depends} Description: Powell's dog-leg nonlinear least squares solver for sparse matrices Solves unconstrained nonlinear least squares problems using Powell's dog-leg method. The user specifies a callback C function that returns the value and gradients of the model function at a particular operating point. This library takes a series of dog-leg steps to find a local minimum of the residual surface. . This library works with sparse matrices, which makes it suitable for efficiently solving very large problems. Package: libdogleg-doc Section: doc Architecture: all Multi-Arch: foreign Depends: ${misc:Depends} Replaces: libdogleg-dev (<< 0.08-3) Breaks: libdogleg-dev (<< 0.08-3) Description: Powell's dog-leg nonlinear least squares solver for sparse matrices Solves unconstrained nonlinear least squares problems using Powell's dog-leg method. The user specifies a callback C function that returns the value and gradients of the model function at a particular operating point. This library takes a series of dog-leg steps to find a local minimum of the residual surface. . This library works with sparse matrices, which makes it suitable for efficiently solving very large problems. . This package contains the documentation Package: libdogleg-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libdogleg2 (= ${binary:Version}), libdogleg-doc, libsuitesparse-dev | libsuitesparse-metis-dev Description: Powell's dog-leg nonlinear least squares solver for sparse matrices Solves unconstrained nonlinear least squares problems using Powell's dog-leg method. The user specifies a callback C function that returns the value and gradients of the model function at a particular operating point. This library takes a series of dog-leg steps to find a local minimum of the residual surface. . This library works with sparse matrices, which makes it suitable for efficiently solving very large problems. . Development files