A framework proves that IMEX-LMMs for gradient flows dissipate a modified energy iff the method's generating polynomials are positive on [-1,1], yielding BDF methods up to order 5, a new order-6 method, and a sixth-order barrier for the simple multiplier.
Auto- mated optimization of residual reduction algorithm pa- rameters in OpenSim
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SmoCap performs unified scale-pose canonicalization for motion capture by solving constrained trust-region QPs with analytical proxy-mapped Jacobians in a sparse control subspace.
citing papers explorer
-
Energy Dissipation Analysis of Implicit-Explicit Linear Multistep Methods for Gradient Flows Using a Simple Multiplier
A framework proves that IMEX-LMMs for gradient flows dissipate a modified energy iff the method's generating polynomials are positive on [-1,1], yielding BDF methods up to order 5, a new order-6 method, and a sixth-order barrier for the simple multiplier.
-
SmoCap: Unified Scale-Pose Canonicalization with Proxy-Mapped Trust-Region QP
SmoCap performs unified scale-pose canonicalization for motion capture by solving constrained trust-region QPs with analytical proxy-mapped Jacobians in a sparse control subspace.