Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	23176
MD5	C25E821EE71118D4C2EB314A2F26B45D
PackageDescription	Kinematics Dynamics and Optimization Library - ipopt optimizer dev DART is a collaborative, cross-platform, open source library created by the Georgia Tech Graphics Lab and Humanoid Robotics Lab. The library provides data structures and algorithms for kinematic and dynamic applications in robotics and computer animation. DART is distinguished by it's accuracy and stability due to its use of generalized coordinates to represent articulated rigid body systems and computation of Lagrange's equations derived from D.Alembert's principle to describe the dynamics of motion. For developers, in contrast to many popular physics engines which view the simulator as a black box, DART gives full access to internal kinematic and dynamic quantities, such as the mass matrix, Coriolis and centrifugal forces, transformation matrices and their derivatives. DART also provides efficient computation of Jacobian matrices for arbitrary body points and coordinate frames. Contact and collision are handled using an implicit time-stepping, velocity-based LCP (linear-complementarity problem) to guarantee non-penetration, directional friction, and approximated Coulomb friction cone conditions. For collision detection, DART uses FCL developed by Willow Garage and the UNC Gamma Lab. DART has applications in robotics and computer animation because it features a multibody dynamic simulator and tools for control and motion planning. Multibody dynamic simulation in DART is an extension of RTQL8, an open source software created by the Georgia Tech Graphics Lab. This package contains IPOPT optimizer headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-optimizer-ipopt-dev
PackageSection	libdevel
PackageVersion	6.9.2-3+b2
SHA-1	668FD35E5CDEF5020D16791058D6277D1DAE4082
SHA-256	F4EA539C1DCC2F20BF46153ADDCF71DD16FBDAE70D39C9C1753F3382066025FC

Key	Value
FileSize	23168
MD5	862575FFBC4489C5A90E7164A4E8AF62
PackageDescription	Kinematics Dynamics and Optimization Library - ipopt optimizer dev DART is a collaborative, cross-platform, open source library created by the Georgia Tech Graphics Lab and Humanoid Robotics Lab. The library provides data structures and algorithms for kinematic and dynamic applications in robotics and computer animation. DART is distinguished by it's accuracy and stability due to its use of generalized coordinates to represent articulated rigid body systems and computation of Lagrange's equations derived from D.Alembert's principle to describe the dynamics of motion. For developers, in contrast to many popular physics engines which view the simulator as a black box, DART gives full access to internal kinematic and dynamic quantities, such as the mass matrix, Coriolis and centrifugal forces, transformation matrices and their derivatives. DART also provides efficient computation of Jacobian matrices for arbitrary body points and coordinate frames. Contact and collision are handled using an implicit time-stepping, velocity-based LCP (linear-complementarity problem) to guarantee non-penetration, directional friction, and approximated Coulomb friction cone conditions. For collision detection, DART uses FCL developed by Willow Garage and the UNC Gamma Lab. DART has applications in robotics and computer animation because it features a multibody dynamic simulator and tools for control and motion planning. Multibody dynamic simulation in DART is an extension of RTQL8, an open source software created by the Georgia Tech Graphics Lab. This package contains IPOPT optimizer headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-optimizer-ipopt-dev
PackageSection	libdevel
PackageVersion	6.9.2-3+b1
SHA-1	97C683EE301D405D361587DB3715F5C1573916CF
SHA-256	389A33CE9FF4BAF5CD6673D7AD1FE937EDC046F3468A5AF58711BF43AEAA8E26

Key	Value
FileSize	23092
MD5	F700743968299A688498FA7E82D94FB9
PackageDescription	Kinematics Dynamics and Optimization Library - ipopt optimizer dev DART is a collaborative, cross-platform, open source library created by the Georgia Tech Graphics Lab and Humanoid Robotics Lab. The library provides data structures and algorithms for kinematic and dynamic applications in robotics and computer animation. DART is distinguished by it's accuracy and stability due to its use of generalized coordinates to represent articulated rigid body systems and computation of Lagrange's equations derived from D.Alembert's principle to describe the dynamics of motion. For developers, in contrast to many popular physics engines which view the simulator as a black box, DART gives full access to internal kinematic and dynamic quantities, such as the mass matrix, Coriolis and centrifugal forces, transformation matrices and their derivatives. DART also provides efficient computation of Jacobian matrices for arbitrary body points and coordinate frames. Contact and collision are handled using an implicit time-stepping, velocity-based LCP (linear-complementarity problem) to guarantee non-penetration, directional friction, and approximated Coulomb friction cone conditions. For collision detection, DART uses FCL developed by Willow Garage and the UNC Gamma Lab. DART has applications in robotics and computer animation because it features a multibody dynamic simulator and tools for control and motion planning. Multibody dynamic simulation in DART is an extension of RTQL8, an open source software created by the Georgia Tech Graphics Lab. This package contains IPOPT optimizer headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-optimizer-ipopt-dev
PackageSection	libdevel
PackageVersion	6.9.2-2+b1
SHA-1	D72A10C322663947375F03395085DD27C1864BF4
SHA-256	8578F3D29412ADB3F0D10D18205632403D736F5181BFD2FFEEB8BC6326CFF831