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20072026
most citedData Assimilation: A Mathematical Introduction

196 citations · 537 across the 39 of their papers we have counts for

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9 papers · 1 filter

math.NA2026

Explicit stabilized implementation of singly diagonally implicit Runge-Kutta methods

Ibrahim Almuslimani, Gilles Vilmart, Konstantinos Zygalakis

Implicit methods are a natural approach for the integration of stiff differential equations, to avoid time-step restrictions faced by standard explicit integrators. Explicit stabil…

math.NA2022

The Forward-Backward Envelope for Sampling with the Overdamped Langevin Algorithm

Armin Eftekhari, Luis Vargas, Konstantinos Zygalakis

In this paper, we analyse a proximal method based on the idea of forward-backward splitting for sampling from distributions with densities that are not necessarily smooth. In parti…

math.NA2020★ 1 cited

The connections between Lyapunov functions for some optimization algorithms and differential equations

J. M. Sanz-Serna, Konstantinos C. Zygalakis

In this manuscript, we study the properties of a family of second-order differential equations with damping, its discretizations and their connections with accelerated optimization…

math.NA2019

PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds

Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb +2

Given a data set and a subset of labels the problem of semi-supervised learning on point clouds is to extend the labels to the entire data set. In this paper we extend the labels b…

math.NA2019

Contractivity of Runge-Kutta methods for convex gradient systems

J. M. Sanz-Serna, Konstantinos C. Zygalakis

We consider the application of Runge-Kutta (RK) methods to gradient systems , where, as in many optimization problems, is convex and (globall…

math.NA2016★ 13 cited

Probabilistic Linear Multistep Methods

Onur Teymur, Konstantinos Zygalakis, Ben Calderhead

We present a derivation and theoretical investigation of the Adams-Bashforth and Adams-Moulton family of linear multistep methods for solving ordinary differential equations, start…