Proximal gradient low-rank CP tensor decomposition of snapshot data yields reduced state-dependent Riccati equations solvable for optimal control of large PDE-derived systems.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Proximal Gradient-based Low Rank Tensor Decomposition for State Dependent Riccati Equation
Proximal gradient low-rank CP tensor decomposition of snapshot data yields reduced state-dependent Riccati equations solvable for optimal control of large PDE-derived systems.