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	23292
MD5	4E0564D020D48B42A00FD4CC1AE6AC5D
PackageDescription	Kinematics Dynamics and Optimization Library - optimizer dev files 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 NLOPT optimizer headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-optimizer-nlopt-dev
PackageSection	libdevel
PackageVersion	6.9.2-3+b2
SHA-1	1CDDC21A22F9908D664CEFFDF3A356A000B9F214
SHA-256	59559DB6D5369A24A866E544DFC47A2AC05A9E5342FEEBBA5BD75E0D85452F5E

Key	Value
FileSize	23300
MD5	1E8231A68A03FC33C916F2060FD08402
PackageDescription	Kinematics Dynamics and Optimization Library - optimizer dev files 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 NLOPT optimizer headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-optimizer-nlopt-dev
PackageSection	libdevel
PackageVersion	6.9.2-3+b1
SHA-1	43E29EC4CE2CE32876646E26206303AF865F9C48
SHA-256	85578F8354EEDE47D5600024833A2833A50ABBCDF81945928E3936EC893C3C2E

Key	Value
FileSize	23220
MD5	74ADC62A9296A95C5563A450EC7C96E4
PackageDescription	Kinematics Dynamics and Optimization Library - optimizer dev files 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 NLOPT optimizer headers and other useful tools for development.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	libdart-optimizer-nlopt-dev
PackageSection	libdevel
PackageVersion	6.9.2-2+b1
SHA-1	0DB48CCC6B7AD5C5A6A8EF0805436FA96747F140
SHA-256	7B8FEFE6508FB4837DD10579526913BA57D0F538A93BAD94B20F3C5964D7F201