Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	28104
MD5	7A528ACC6229413BE128965CE572BC6E
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	6.12.1+dfsg4-11
SHA-1	3D1ED116883B8D5544BB87E5DCF5D34750B95DC3
SHA-256	42E6AC6CA2F8798ACDC2945FA478FEF0341AD634D16F6BD32C054413407666CF

Key	Value
FileSize	28052
MD5	62F4E2EC1CFFFEF5FB58076DBBEC3A76
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	6.12.1+dfsg4-10
SHA-1	9CB65B54AA95837FB6F8C217193D39420A054001
SHA-256	08B69B502B1093AA9A4E45BFBA134B6A5C270D2183A77CAB0DFC5860AA0D9583