Results 101 to 110 of about 2,487 (204)
Molecular Ecology Resources, Volume 26, Issue 6, August 2026.ABSTRACT The sustainability of Southeast Asian fisheries hinges on high‐throughput tools for monitoring early life‐stage fish biodiversity. However, applying DNA metabarcoding to hyper‐diverse tropical ichthyoplankton requires rigorous calibration to ensure quantitative reliability.
Cam Hong Van +5 more
wiley +1 more source
A Matrix‐Free, Scalable, and Robust Implicit Material Point Method
International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.ABSTRACT An implicit material point method is presented using a new dynamic relaxation solver, allowing for a simple and efficient quasi‐static formulation that may be readily implemented in existing explicit‐dynamic codes. The use of dynamic relaxation and aggregation is shown to produce an extremely robust material point method scheme, with good ...
Sam J. V. Sutcliffe +5 more
wiley +1 more source
An Augmented Lagrangian Method for Training Recurrent Neural Networks
SIAM Journal on Scientific ComputingRecurrent Neural Networks (RNNs) are widely used to model sequential data in a wide range of areas, such as natural language processing, speech recognition, machine translation, and time series analysis. In this paper, we model the training process of RNNs with the ReLU activation function as a constrained optimization problem with a smooth nonconvex ...
Yue Wang 0102 +2 more
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Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.Abstract The North Pacific eastern subtropical mode water (NPESTMW) connects the subtropics and tropics, influencing climate variability on interannual to decadal timescales. Using eight decades of ocean reanalysis, we show that the 11‐year solar‐cycle robustly modulates NPESTMW volume. NPESTMW formation is suppressed 1–2 years after solar maxima: high
Jianing Wang +4 more
wiley +1 more source
Practical Augmented Lagrangian Methods [PDF]
, 2012 Ernesto G. Birgin, J. M. Martínez
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MathematicsIn this paper, we propose a stochastic primal-dual adaptive method based on an inexact augmented Lagrangian function to solve non-convex programs, referred to as the SPDAM.
Rulei Qi, Dan Xue, Yujia Zhai
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Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds
Journal of Optimization Theory and ApplicationsAbstractIn this paper, we present a stochastic augmented Lagrangian approach on (possibly infinite-dimensional) Riemannian manifolds to solve stochastic optimization problems with a finite number of deterministic constraints. We investigate the convergence of the method, which is based on a stochastic approximation approach with random stopping ...
Caroline Geiersbach +2 more
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The Astrophysical Journal Supplement SeriesGround-based radio observations below 30 MHz are severely limited by ionospheric interference and radio-frequency interference from Earth. A lunar-orbiting radio interferometer mission, the Discovering the Sky at the Longest wavelengths (DSL, also known ...
Meng Zhou +3 more
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Modified hybrid decomposition of the augmented Lagrangian method with larger step size for three-block separable convex programming. [PDF]
J Inequal Appl, 2018 Sun M, Wang Y.
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MathematicsThis paper presents an improved hybrid Eulerian–Lagrangian framework, which has been augmented with an adaptive mesh refinement technique, for simulating passive scalar transport on deforming interfaces. We capture interface deformation using an Eulerian
Yu Fan, Chunyan Liu
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