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20172025
most citedA Direct Sampling Method for Simultaneously Recovering Inhomogeneous Inclusions of Different Nature

1 citations · 1 across the 5 of their papers we have counts for

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math.OC2025

Stochastic Moving Anchor Algorithms and a Popov's Scheme with Moving Anchor

James Alcala, Yat Tin Chow, Mahesh Sunkula

Since their introduction, anchoring methods in extragradient-type saddlepoint problems have inspired a flurry of research due to their ability to provide order-optimal rates of acc…

math.OC2024

Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization

Minxin Zhang, Fuqun Han, Yat Tin Chow +2

This work concerns the zeroth-order global minimization of continuous nonconvex functions with a unique global minimizer and possibly multiple local minimizers. We formulate a theo…

math.OC2020

Recovery of a Time-Dependent Bottom Topography Function from the Shallow Water Equations via an Adjoint Approach

Jolene Britton, Yat Tin Chow, Weitao Chen +1

We develop an adjoint approach for recovering the topographical function included in the source term of one-dimensional hyperbolic balance laws. We focus on a specific system, name…

math.OC2018

Optimal Human Navigation in Steep Terrain: a Hamilton-Jacobi-Bellman Approach

Christian Parkinson, David Arnold, Andrea L. Bertozzi +2

We present a method for determining optimal walking paths in steep terrain using the level set method and an optimal control formulation. By viewing the walking direction as a cont…

math.OC2018

A Splitting Method For Overcoming the Curse of Dimensionality in Hamilton-Jacobi Equations Arising from Nonlinear Optimal Control and Differential Games with Applications to Trajectory Generation

Alex Tong Lin, Yat Tin Chow, Stanley Osher

Recent observations have been made that bridge splitting methods arising from optimization, to the Hopf and Lax formulas for Hamilton-Jacobi Equations with Hamiltonians . Thi…