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	29648
MD5	E7C5D1395E67E86BD5C67605262EF674
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 lodepng headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-external-odelcpsolver-dev
PackageSection	libdevel
PackageVersion	6.9.2-2+b1
SHA-1	F86183FD3F20BAB635B95E63A07127F25610012F
SHA-256	2991180836C7F0866549406B98298CCD24E2273F21FA3E31934D4046D7FA4FEF

Key	Value
FileSize	29716
MD5	9289B3A62C222BBFF09DD03D5CA09E41
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 lodepng headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-external-odelcpsolver-dev
PackageSection	libdevel
PackageVersion	6.9.2-3+b1
SHA-1	2BFB109A46F9EED7431BF719636A3457E591BE8B
SHA-256	F33A5B3DC7C79766C988AC58B8B87E1EB82727DD4B6737C2A6C212F3863B9008

Key	Value
FileSize	29724
MD5	95A7653A6588563299C7CEA3F15AB55D
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 lodepng headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-external-odelcpsolver-dev
PackageSection	libdevel
PackageVersion	6.9.2-3+b2
SHA-1	109CBBCD04F58FBFB1222C7817E9B86CB63BDF64
SHA-256	1A1EBFB4C2A182AF5FACC9B5B4B67039B9A314FEEA76A85E7A8B5B7F3FA2FC4D