Results 121 to 130 of about 125,502 (226)

In‐and‐Out: Algorithmic Diffusion for Sampling Convex Bodies

Random Structures &Algorithms, Volume 68, Issue 3, May 2026.
ABSTRACT We present a new random walk for uniformly sampling high‐dimensional convex bodies. It achieves state‐of‐the‐art runtime complexity with stronger guarantees on the output than previously known, namely in Rényi divergence (which implies TV, 𝒲2, KL, χ2$$ {\chi}^2 $$).
Yunbum Kook, Santosh S. Vempala, Matthew S. Zhang   +2 more
wiley   +1 more source

Leaveraging The Continuous Adjoint Method For Industrial Scale Application

, 2015
One of the fastest growing fields in CFD research is adjoint optimization. Adjoint methods are widely used by people in industry to optimize their products. Drag force minimization of a car, lift force maximization of aeroplanes and minimization of power losses in ducts are some of these optimization problems.
Karpouzas, G.K.,, De Villiers, E.,, Combest, D.P.,   +2 more
openaire   +1 more source

Forward and Adjoint Calculations of Gravitational Potential in Heterogeneous, Aspherical Planets

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract We have developed a computational package for the calculation of numerically exact internal and external gravitational potential, its functional derivatives and sensitivity kernels, in an aspherical, heterogeneous planet. We detail our implementation, utilizing a transformation of the Poisson equation into a spherical reference domain, as well
Alex D. C. Myhill, Matthew A. Maitra, David Al‐Attar   +2 more
wiley   +1 more source

Use of discrete sensitivity analysis to transform explicit simulation codes into design optimization codes

Electronic Journal of Differential Equations, 2000
Sensitivity analysis is often used in high fidelity numerical optimization to estimate design space derivatives efficiently. Typically, explicit codes are combined with the adjoint formulation of continuous sensitivity analysis, which requires the ...
Clarence O. E. Burg
doaj  

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang, Xinyao Qian, Yaodeng Chen, Xin Li, Jinzhong Min, Yaxin Deng   +5 more
wiley   +1 more source

Capability Demonstration of a JEDI‐Based System for TEMPO Assimilation: System Description and Evaluation

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract The launch of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission in 2023 marked a new era in air quality monitoring by providing high‐frequency, geostationary observations of column NO2 across most of North America. In this study, we present the first implementation of a TEMPO NO2 data assimilation system using the Joint ...
Maryam Abdi‐Oskouei, Jérôme Barré, Shih‐Wei Wei, Sarah Lu, Ashley Griffin, Clementine Hardy Gas, Francois Hebert, Stephen Herbener, Eric Lingerfelt, Evan Parker, Christian Sampson, Steve Vahl, Fabio Diniz, Ben Johnson, Cheng Dang, Yannick Tremolet, Benjamin Ruston, Viral Shah, Emma Knowland, Ricardo Todling, Ronald Gelaro, Caroline Nowlan, Gonzalo Gonzalez Abad, Xiong Liu, Brian McDonald, Kristen Zuraski, Jeff Peischl, Caroline Womack, Laura Judd, Thomas Hanisco, Benjamin Menetrier, Cory Martin, Daniel Holdaway, Anna Shlyaeva, Dom Heinzeller, Steven Pawson, Thomas Auligne   +36 more
wiley   +1 more source

Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection

Journal of Time Series Analysis, Volume 47, Issue 3, Page 651-659, May 2026.
ABSTRACT This article applies the functional sieve bootstrap (FSB) to estimate the distribution of the partial sum process for time series stemming from a weakly stationary functional process. Consistency of the FSB procedure under weak assumptions on the underlying functional process is established.
Efstathios Paparoditis, Lea Wegner, Martin Wendler   +2 more
wiley   +1 more source

A note on relative Gelfand–Fuks cohomology of spheres

Bulletin of the London Mathematical Society, Volume 58, Issue 5, May 2026.
Abstract We study the Gelfand–Fuks cohomology of smooth vector fields on Sd$\mathbb {S}^d$ relative to SO(d+1)$\mathrm{SO}(d+1)$ following a method of Haefliger that uses tools from rational homotopy theory. In particular, we show that H∗(BSO(4);R)$H^*(\mathrm{B}\mathrm{SO}(4);\mathbb {R})$ injects into the relative Gelfand–Fuks cohomology which ...
Nils Prigge
wiley   +1 more source

Wave Drag Reduction of SC(2)0410 Airfoil using New Developed Inviscid Compressible Adjoint Method

Journal of Applied Fluid Mechanics, 2020
A supercritical airfoil is geometrically optimized using the new developed adjoint compressible lattice Boltzmann method. Minimizing the drag coefficient and eliminating the shock wave on the supercritical airfoil surface are considered as the cost ...
R. Kamali-Moghadam, H. Jalali, A. Haghiri   +2 more
doaj  

Which singular tangent bundles are isomorphic?

Journal of the London Mathematical Society, Volume 113, Issue 5, May 2026.
Abstract Logarithmic and b$ b$‐tangent bundles provide a versatile framework for addressing singularities in geometry. Introduced by Deligne and Melrose, these modified bundles resolve singularities by reframing singular vector fields as well‐behaved sections of these singular bundles.
Eva Miranda, Pablo Nicolás
wiley   +1 more source