Results 151 to 160 of about 5,576,282 (226)

Wave Energy Development in Oregon: licensing & permitting requirements [PDF]

open access: yes
This is an informational document provided by the Oregon Wave Energy Trust (OWET) for the purposes developing a broad understanding of the current regulatory framework among stakeholders, regulators, and developers in the wave energy industry.
Pacific Energy Ventures
core  

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

open access: yesInternational Journal for Numerical Methods in Fluids, Volume 98, Issue 10, Page 1165-1180, October 2026.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen   +3 more
wiley   +1 more source

QG‐Python: A Reproducible 1.5‐Layer Quasi‐Geostrophic Modelling Service With Direct Sparse Solvers, Spectral Stability Diagnostics and Filter Sensitivity Data

open access: yesGeoscience Data Journal, Volume 13, Issue 4, October 2026.
QG‐Python is an open, reproducible 1.5‐layer quasi‐geostrophic modelling service whose published diagnostics show that the classical von Neumann bound underestimates the true Leapfrog stability limit by a factor of 13.7, and that the Robert–Asselin–Williams filter reduces kinetic energy and enstrophy biases from ~21% and ~45% to under 4%.
Elias D. Nino‐Ruiz
wiley   +1 more source

A Test Function Method for Weakly Coupled Systems With Derivative‐Type Nonlinearity

open access: yesMathematische Nachrichten, Volume 299, Issue 10, Page 3015-3035, October 2026.
ABSTRACT We consider a two by two system of inequalities which include fractional powers of the Laplace operator, coupled through a semilinear term of derivative type. We prove the nonexistence of global‐in‐time weak solutions for powers below the critical curve and possibly on the critical curve.
Marcello D'Abbicco, Antonio Lagioia
wiley   +1 more source

An Integrated Gradient Boosting Machine Approach With Fisher's Discriminant Analysis: Empirical Assessment on Five Benchmark Datasets and Simulations

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.
ABSTRACT The aim of this study is to assess the impact of different dimensionality reduction techniques—specifically Principal Component Analysis (PCA) and Fisher's Linear Discriminant Analysis (LDA)—on the classification performance of Gradient Boosting Machines (GBM).
Giulio Enzo Donninelli   +1 more
wiley   +1 more source

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