Alan Edelman

Alan Edelman

Massachusetts Institute of Technology

H-index: 48

North America-United States

About Alan Edelman

Alan Edelman, With an exceptional h-index of 48 and a recent h-index of 30 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Corgis, Random Matrix Theory, Julia, Numerical Linear Algebra, Parallel Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Convex Network Flows

BACKpropagation through BACK substitution with a BACKslash

NonlinearSolve. jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia

Efficient GPU-Accelerated Global Optimization for Inverse Problems

Automated translation and accelerated solving of differential equations on multiple GPU platforms

Some new results on the maximum growth factor in Gaussian elimination

A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting

Mapping out phase diagrams with generative classifiers

Alan Edelman Information

University

Position

Professor of Applied Mathematics Member Computer Science AI LABS

Citations(all)

21396

Citations(since 2020)

10304

Cited By

15093

hIndex(all)

48

hIndex(since 2020)

30

i10Index(all)

105

i10Index(since 2020)

59

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Alan Edelman Skills & Research Interests

Corgis

Random Matrix Theory

Julia

Numerical Linear Algebra

Parallel Computing

Top articles of Alan Edelman

Title

Journal

Author(s)

Publication Date

Convex Network Flows

arXiv preprint arXiv:2404.00765

Theo Diamandis

Guillermo Angeris

Alan Edelman

2024/3/31

BACKpropagation through BACK substitution with a BACKslash

SIAM Journal on Matrix Analysis and Applications

Alan Edelman

Ekin Akyürek

Yuyang Wang

2024/3/31

NonlinearSolve. jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia

arXiv preprint arXiv:2403.16341

Avik Pal

Flemming Holtorf

Axel Larsson

Torkel Loman

Frank Schaefer

...

2024/3/25

Efficient GPU-Accelerated Global Optimization for Inverse Problems

Vaibhav Kumar Dixit

Julian Samaroo

Avik Pal

Alan Edelman

Christopher Vincent Rackauckas

2024/3/3

Automated translation and accelerated solving of differential equations on multiple GPU platforms

Computer Methods in Applied Mechanics and Engineering

Utkarsh Utkarsh

Valentin Churavy

Yingbo Ma

Tim Besard

Prakitr Srisuma

...

2024/2/1

Some new results on the maximum growth factor in Gaussian elimination

arXiv preprint arXiv:2303.04892

Alan Edelman

John Urschel

2023/3/8

A New Upper Bound For the Growth Factor in Gaussian Elimination with Complete Pivoting

arXiv preprint arXiv:2312.00994

Ankit Bisain

Alan Edelman

John Urschel

2023/12/2

Mapping out phase diagrams with generative classifiers

arXiv preprint arXiv:2306.14894

Julian Arnold

Frank Schäfer

Alan Edelman

Christoph Bruder

2023/6/26

Leveraging Julia’s automated differentiation and symbolic computation to increase spectral DCM flexibility and speed

bioRxiv

David Hofmann

Anthony G Chesebro

Chris Rackauckas

Lilianne R Mujica-Parodi

Karl J Friston

...

2023/11/1

The conditional DPP approach to random matrix distributions

arXiv preprint arXiv:2304.09319

Alan Edelman

Sungwoo Jeong

2023/4/18

Sum-of-Squares Bounds for Quantum Optimal Control

Flemming Holtorf

Frank Schäfer

Julian Arnold

Christopher Rackauckas

Alan Edelman

2023/9/17

Performance Bounds for Quantum Control

arXiv preprint arXiv:2304.03366

Flemming Holtorf

Frank Schäfer

Julian Arnold

Christopher Rackauckas

Alan Edelman

2023/4/6

Oceananigans. jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations

arXiv preprint arXiv:2309.06662

Simone Silvestri

Gregory Wagner

Christopher Hill

Matin Raayai Ardakani

Johannes Blaschke

...

2023/9/13

On the structure of the solutions to the matrix equation G⁎ JG= J

Linear Algebra and its Applications

Alan Edelman

Sungwoo Jeong

2023/1/15

Locally regularized neural differential equations: some black boxes were meant to remain closed!

Avik Pal

Alan Edelman

Christopher Vincent Rackauckas

2023/7/3

Mathematical Software

ACM Transactions on

Zhaojun Bai

Wolfgang Bangerth

Paolo Bientinesi

Tim Hopkins

Salvatore Filippone

...

2023

Fifty three matrix factorizations: A systematic approach

SIAM Journal on Matrix Analysis and Applications

Alan Edelman

Sungwoo Jeong

2023/6/30

Stably accelerating stiff quantitative systems pharmacology models: Continuous-time echo state networks as implicit machine learning

IFAC-PapersOnLine

Ranjan Anantharaman

Anas Abdelrehim

Anand Jain

Avik Pal

Danny Sharp

...

2022/1/1

Bridging hpc communities through the julia programming language

arXiv preprint arXiv:2211.02740

Valentin Churavy

William F Godoy

Carsten Bauer

Hendrik Ranocha

Michael Schlottke-Lakemper

...

2022/11/4

Mixing implicit and explicit deep learning with skip deqs and infinite time neural odes (continuous deqs)

Training

Avik Pal

Alan Edelman

Christopher Rackauckas

2022

See List of Professors in Alan Edelman University(Massachusetts Institute of Technology)