Establishes Cuoco-Monsky style leading asymptotics for v_p(det P(U_n)) via mu and lambda invariants of the spectral resultant R_{X,P} for Grover walks on Z_p^d-towers, plus equivariant Kida formulas and torsion-zero correspondences under coprimality assumptions.
Eyert, A comparative study on methods for convergence acceleration of iter- ative vector sequences
6 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
A Stoner-inspired preconditioner based on non-interacting susceptibility that neglects orbital variations reduces SCF iterations in magnetic KS-DFT near phase transitions.
Curates over 900 hours of SRKW acoustic data plus other marine mammal recordings via positive-unlabeled active learning, releasing transformer classifiers that report AUROC 0.58-0.77 and species top-1 accuracy of 53.2% on held-out benchmarks.
The paper gives a bijective proof of Zaslavsky's level enumeration for hyperplane arrangements via centralization, shows that the counts depend only on the intersection poset, and derives a general characteristic polynomial for geometric semilattices with applications to braid deformations.
PESCA is a self-consistent electrostatic model for semiconductors in devices whose accuracy is controlled by the small ratio κ = C_g/C_q ≈ 1%.
Maps the quantum-electrostatic self-consistency problem to a non-linear Helmholtz equation, enabling construction of a convex functional for provable convergence that lifts to the exact solution in typically one or two iterations.
citing papers explorer
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Iwasawa-Type Spectral Resultant Growth Laws for Grover Walks on Graph Towers
Establishes Cuoco-Monsky style leading asymptotics for v_p(det P(U_n)) via mu and lambda invariants of the spectral resultant R_{X,P} for Grover walks on Z_p^d-towers, plus equivariant Kida formulas and torsion-zero correspondences under coprimality assumptions.
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Preconditioning Magnetic Systems in Kohn-Sham Density Functional Theory
A Stoner-inspired preconditioner based on non-interacting susceptibility that neglects orbital variations reduces SCF iterations in magnetic KS-DFT near phase transitions.
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Positive-Unlabelled Active Learning to Curate a Dataset for Orca Resident Interpretation
Curates over 900 hours of SRKW acoustic data plus other marine mammal recordings via positive-unlabeled active learning, releasing transformer classifiers that report AUROC 0.58-0.77 and species top-1 accuracy of 53.2% on held-out benchmarks.
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Region level via centralization for hyperplane arrangements and beyond
The paper gives a bijective proof of Zaslavsky's level enumeration for hyperplane arrangements via centralization, shows that the counts depend only on the intersection poset, and derives a general characteristic polynomial for geometric semilattices with applications to braid deformations.
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Electrostatics in semiconducting devices I : The Pure Electrostatics Self Consistent Approximation
PESCA is a self-consistent electrostatic model for semiconductors in devices whose accuracy is controlled by the small ratio κ = C_g/C_q ≈ 1%.
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Electrostatics in semiconducting devices II: Solving the Helmholtz equation
Maps the quantum-electrostatic self-consistency problem to a non-linear Helmholtz equation, enabling construction of a convex functional for provable convergence that lifts to the exact solution in typically one or two iterations.