Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1379076
MD5	2000B397B570D3E27D3CB673631706D5
PackageDescription	Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-cvxopt
PackageSection	python
PackageVersion	1.1.2-1
SHA-1	39564A441338DB66E4DA86F40BB2C474F770D2AB
SHA-256	2B8E5530496C747C4A9A7EC4FDDC9697AE295AAAE8A70D457406953D6D0CA808

Key	Value
FileSize	1451824
MD5	812AA62CA25CDD3AA99B589DA3107B12
PackageDescription	Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-cvxopt
PackageSection	python
PackageVersion	1.1.2-1
SHA-1	B3BD4B6FDBEE00EEB4BE7CF81BE0A35686659490
SHA-256	7D8E55D364DECCDDB0B963C7C7E1C56972321419C5D3D77794C01ED0BBBDE078

Key	Value
FileSize	1718858
MD5	FB432605FAE16F4F63D9A633ED687A66
PackageDescription	Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-cvxopt
PackageSection	python
PackageVersion	1.1.2-1
SHA-1	402219C96C640EFA5C660FAB76A05C38FE1B48D5
SHA-256	0AA9D1FD128846BBECFB4D9CFB752FF0160F38D45C964CBB43E5E0B54454A9C8

Key	Value
FileSize	1378932
MD5	214214880EAEBFCB219310DEEA2670A7
PackageDescription	Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-cvxopt
PackageSection	python
PackageVersion	1.1.2-1
SHA-1	8C5877E241135B4EBE0E9E2CDA1DC07533541619
SHA-256	148750BC278ED95752AF35CE1A5FA38812C3D28580F83A9F2E1330845BB75B85

Key	Value
FileSize	1345992
MD5	08B21F50FAE6266BE188326F597CE544
PackageDescription	Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-cvxopt
PackageSection	python
PackageVersion	1.1.2-1
SHA-1	A407E32FF6F8EDBDA9E76A446FB0E1E194214114
SHA-256	61C0704B83C2C7FEF7C0DCE550C552B72B1F8852EDB347C25ABDDB25CAB2D1D9

Key	Value
FileSize	1416610
MD5	0E251BCAA8CD404316028E455F1D979D
PackageDescription	Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-cvxopt
PackageSection	python
PackageVersion	1.1.2-1
SHA-1	A0969F52F4993A08339C067EECEE105667E8642B
SHA-256	BBD9E902D3AB982496F587143F212B7C987A2C349CE6E63F3AECBC161193A502