Infeasible Full Newton-Step Interior-Point Methods for Monotone Linear Complementarity Problems
In this talk, we present an infeasible full Newton-step Interior-Point Method for Linear Complementarity Problems. The advantage of the method, in addition to starting from an infeasible starting point, is that it uses full Newton-steps, thus avoiding ...
Lesaja, Goran
core
In-context learning as a retraining-free paradigm for constitutive modeling. [PDF]
Li L +6 more
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A streaming, certificate-based reduction for convex hull preservation in planar point sets. [PDF]
Cadenas O.
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Dose-Response Relationships Between Exercise Modalities and Triglyceride Reduction in Adults: A Systematic Review and Model-Based Network Meta-Analysis. [PDF]
Zeng J, Wang H, Shi F.
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Full Nesterov-Todd step infeasible interior-point method for symmetric optimization
Euclidean Jordan algebras were proved more than a decade ago to be an indispensable tool in the unified study of interior-point methods. By using it, we generalize the full-Newton step infeasible interior-point method for linear optimization of Roos ...
Gu, G., Zangiabadi, M., Roos, C.
core
Comparative analysis of advanced constraint-handling in quantum PSO with differential mutation for optimal power flow. [PDF]
Naidji M +5 more
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Mercury's crustal magnetization indicates a stronger ancient dynamo. [PDF]
Narrett IS +3 more
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Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference. [PDF]
Song B +5 more
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An empirical three-dimensional metric field for color space. [PDF]
Koenderink JJ +3 more
europepmc +2 more sources
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source

