low-rank approximation 1optimization algorithms 1orthogonality constraint 1positivity preservation 1vlasov equation 1
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math.NA2026
Nonnegative Low-Rank Matrix Correction under an Orthogonality Constraint in Conservative Vlasov Simulations
Yue Wu, Stephen Becker, Jingmei Qiu +1
The paper proposes optimization-based post‑processing methods to enforce nonnegativity on low‑rank approximations in conservative Vlasov simulations while exactly preserving densit…
math.NA2026
Singular value soft-thresholding via the polar decomposition
Stephen Becker
Singular value soft-thresholding can be computed via a reduction to the matrix polar decomposition, which allows one to exploit GPU-friendly algorithms for computing the polar deco…
quant-ph2026
Generating Entangled Steady States in Multistable Open Quantum Systems via Initial State Control
Diego Fallas Padilla, Raphael Kaubruegger, Adrianna Gillman +2
Entanglement underpins the power of quantum technologies, yet it is fragile and typically destroyed by dissipation. Paradoxically, the same dissipation, when carefully engineered,…