ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
Building rome with convex optimization
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
LieIPM applies a structure-preserving interior point optimizer to rigid-body trajectory planning on Lie groups using variational integrators and closed-form intrinsic derivatives.
ProBA replaces rigid point tracks with a probabilistic pose graph and 3D Gaussian landmarks, optimizing via negative log-likelihood with the Bhattacharyya coefficient to expand the basin of attraction in prior-free SfM.
citing papers explorer
-
Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity
ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
-
LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies
LieIPM applies a structure-preserving interior point optimizer to rigid-body trajectory planning on Lie groups using variational integrators and closed-form intrinsic derivatives.
-
ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
ProBA replaces rigid point tracks with a probabilistic pose graph and 3D Gaussian landmarks, optimizing via negative log-likelihood with the Bhattacharyya coefficient to expand the basin of attraction in prior-free SfM.