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Optimal transport has recently been brought forward as a tool for modeling and efficiently solving a variety of flow problems, such as origin-destination problems and multi-commodity flow problems. Although the framework has shown to be…

最优化与控制 · 数学 2025-07-29 Anqi Dong , Karl Henrik Johansson , Johan Karlsson

This paper is concerned with a blood flow problem coupled with a slow plaque growth at the artery wall. In the model, the micro (fast) system is the Navier-Stokes equation with a periodically applied force and the macro (slow) system is a…

数值分析 · 数学 2022-10-21 Zhaoyang Wang , Ping Lin , Lei Zhang

This paper deals with a new solid-fluid coupling algorithm between a rigid body and an unsteady compressible fluid flow, using an Embedded Boundary method. The coupling with a rigid body is a first step towards the coupling with a Discrete…

The least gradient problem (minimizing the total variation with given boundary data) is equivalent, in the plane, to the Beckmann minimal-flow problem with source and target measures located on the boundary of the domain, which is in turn…

最优化与控制 · 数学 2018-05-03 Filippo Santambrogio , Samer Dweik

Immersed boundary methods are extensively used for simulations of dynamic solid objects interacting with fluids due to their computational efficiency and modelling flexibility compared to body-fitted grid methods. However, thin geometries,…

流体动力学 · 物理学 2022-03-14 Marin Lauber , Gabriel D. Weymouth , Georges Limbert

The lattice Boltzmann method (LBM) has shown its promising capability in simulating microscale gas flows. However, the suitable boundary condition is still one of the critical issues for the LBM to model microgaseous flows involving curved…

计算物理 · 物理学 2021-01-01 Liang Wang , Shi Tao , Junjie Hu , Kai Zhang , Gui Lu

Particle tracking in large-scale numerical simulations of turbulent flows presents one of the major bottlenecks in parallel performance and scaling efficiency. Here, we describe a particle tracking algorithm for large-scale parallel…

流体动力学 · 物理学 2022-05-31 Cristian C. Lalescu , Bérenger Bramas , Markus Rampp , Michael Wilczek

The mixing problem is classically encountered in the study of differential equations applied to fluid dynamics. An understanding of fluid movement under constraints is particularly important in the field of medicine as many therapeutics and…

医学物理 · 物理学 2024-02-05 Neil Zhao

Tracking on the rotation group is a key component of many modern systems for estimation of the motion of rigid bodies. To address this problem, here we describe a Bayesian algorithm that relies on directional measurements for tracking on…

信号处理 · 电气工程与系统科学 2020-03-26 Sofia Suvorova , Stephen D. Howard , Bill Moran

In this work, we propose a generalized alternating Anderson acceleration method, a periodic scheme composed of $t$ fixed-point iteration steps, interleaved with $s$ steps of Anderson acceleration with window size $m$, to solve linear and…

数值分析 · 数学 2026-02-02 Yunhui He , Santolo Leveque

In this work, we consider data association problems involving multi-object tracking (MOT). In particular, we address the challenges arising from object occlusions. We propose a framework called approximate dynamic programming track…

计算机视觉与模式识别 · 计算机科学 2024-05-27 Pratyusha Musunuru , Yuchao Li , Jamison Weber , Dimitri Bertsekas

A formulation of the immersed boundary method for incompressible flow over bodies with surface slip described by the Navier boundary condition is presented. In the present method, the wall slip velocity and the boundary force are determined…

流体动力学 · 物理学 2025-09-19 Takehiro Fujii , Takeshi Omori

The Immersed Boundary method is a simple, efficient, and robust numerical scheme for solving PDE in general domains, yet for fluid problems it only achieves first-order spatial accuracy near embedded boundaries for the velocity field and…

数值分析 · 数学 2017-03-08 David B. Stein , Robert D. Guy , Becca Thomases

This paper proposes an accelerated proximal point method for maximally monotone operators. The proof is computer-assisted via the performance estimation problem approach. The proximal point method includes various well-known convex…

最优化与控制 · 数学 2021-03-25 Donghwan Kim

Riemannian accelerated gradient methods have been well studied for smooth optimization, typically treating geodesically convex and geodesically strongly convex cases separately. However, their extension to nonsmooth problems on manifolds…

最优化与控制 · 数学 2025-09-29 Shuailing Feng , Yuhang Jiang , Wen Huang , Shihui Ying

Abstraction (in its various forms) is a powerful established technique in model-checking; still, when unbounded data-structures are concerned, it cannot always cope with divergence phenomena in a satisfactory way. Acceleration is an…

计算机科学中的逻辑 · 计算机科学 2013-10-04 Francesco Alberti , Silvio Ghilardi , Natasha Sharygina

This paper considers a safe trajectory tracking of the Stefan problem with a second-order moving boundary dynamics. The model is given by a parabolic Partial Differential Equation (PDE) defined on a time-varying domain of moving boundary…

最优化与控制 · 数学 2026-05-26 Shumon Koga , Miroslav Krstic

We consider a rigid body freely moving in a compressible inviscid fluid within a bounded domain $\Omega\subset\mathbb{R}^3$. The fluid is thereby governed by the non necessarily isentropic compressible Euler equations, while the rigid body…

偏微分方程分析 · 数学 2025-12-11 Frédéric Rousset , Pei Su

Accurate and efficient simulation of fluid-structure interaction (FSI) problems remains a central challenge in computational physics. High-order discontinuous Galerkin (DG) methods offer low numerical errors and excellent scalability on…

流体动力学 · 物理学 2025-12-08 Yingjie Xia , Stefano Colombo , David Huergo , Jiaqing Kou , Yuting Dai , Esteban Ferrer

We present an efficient approximate message passing solver for the lifted disjoint paths problem (LDP), a natural but NP-hard model for multiple object tracking (MOT). Our tracker scales to very large instances that come from long and…

计算机视觉与模式识别 · 计算机科学 2021-08-25 Andrea Hornakova , Timo Kaiser , Paul Swoboda , Michal Rolinek , Bodo Rosenhahn , Roberto Henschel