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ENTITY Levenberg--Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation

Levenberg--Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation

PulseAugur coverage of Levenberg--Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation — every cluster mentioning Levenberg--Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_235155 ·

    New GPU solver accelerates symbolic regression constant optimization

    Researchers have developed a novel GPU-resident solver for optimizing constants in symbolic regression using tree-based genetic programming. This batched Levenberg-Marquardt solver efficiently processes a heterogeneous …

  2. TOOL · CL_152066 ·

    New CSS-BA method enhances 3D reconstruction accuracy in challenging scenarios

    Researchers have developed a new method called Gate-Guided Column Space Search for Bundle Adjustment (CSS-BA) to improve the accuracy and stability of 3D reconstruction in challenging scenarios. This approach modifies t…