A separable force-matching protocol fits flexible four-site water models to PBE0 reference forces, eliminating linear parameters analytically and producing stable potentials whose radial distributions match benchmarks.
Golub and Victor Pereyra
7 Pith papers cite this work. Polarity classification is still indexing.
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2026 7verdicts
UNVERDICTED 7representative citing papers
Extends variable projection to constrained separable nonlinear least-squares via bilevel collapse, yielding exact reduced gradients and a convergent conditional-gradient algorithm.
Target-aligned data selection via normalized endpoint loss drop on a validation-induced reference path achieves competitive performance with reduced computational overhead.
Dr-BA delivers a separable optimization approach for direct radar bundle adjustment and cross-session localization using full spinning-radar intensity images, achieving state-of-the-art performance on over 200 km of on-road data.
Orthogonal reparametrization via QR decomposition renders NSS linear parameters uncorrelated with diagonal conditional Fisher information, providing a scalar identifiability diagnostic and closed-form finite-horizon orthogonal basis.
Rothe's method stabilizes Gaussian wavepacket propagation for quantum dynamics, yielding grid-comparable accuracy for electronic and rovibrational processes including high-harmonic generation using remarkably few functions.
Backstepping control tracks effective surface area of non-convex satellites for drag-based orbital control, with asymptotic stability proofs and an extension for solar panel exposure.
citing papers explorer
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Separable Force Matching of PBE0 Hybrid-Functional Reference Forces for Path-Integral Simulations of Liquid Water
A separable force-matching protocol fits flexible four-site water models to PBE0 reference forces, eliminating linear parameters analytically and producing stable potentials whose radial distributions match benchmarks.
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Constrained Variable Projection for Structured Problems
Extends variable projection to constrained separable nonlinear least-squares via bilevel collapse, yielding exact reduced gradients and a convergent conditional-gradient algorithm.
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Let the Target Select for Itself: Data Selection via Target-Aligned Paths
Target-aligned data selection via normalized endpoint loss drop on a validation-induced reference path achieves competitive performance with reduced computational overhead.
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Dr-BA: Separable Optimization for Direct Radar Bundle Adjustment & Localization
Dr-BA delivers a separable optimization approach for direct radar bundle adjustment and cross-session localization using full spinning-radar intensity images, achieving state-of-the-art performance on over 200 km of on-road data.
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Orthogonal reparametrization of the Nelson-Siegel-Svensson interest rate curve model: conditioning, diagnostics, and identifiability
Orthogonal reparametrization via QR decomposition renders NSS linear parameters uncorrelated with diagonal conditional Fisher information, providing a scalar identifiability diagnostic and closed-form finite-horizon orthogonal basis.
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Rothe's Method for Quantum Dynamics in Atoms and Molecules with Gaussian Wavepackets
Rothe's method stabilizes Gaussian wavepacket propagation for quantum dynamics, yielding grid-comparable accuracy for electronic and rovibrational processes including high-harmonic generation using remarkably few functions.
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Tracking the Effective Surface Area of Non-Convex Satellites
Backstepping control tracks effective surface area of non-convex satellites for drag-based orbital control, with asymptotic stability proofs and an extension for solar panel exposure.