From 23b3a436b31aeeebb543c56286169a9e44eec7d9 Mon Sep 17 00:00:00 2001 From: Avik Pal Date: Mon, 1 Dec 2025 10:23:48 -0500 Subject: [PATCH] update citation with TOMS paper ] --- README.md | 17 +++++++++++++---- 1 file changed, 13 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 7c057996b..974f2f1c6 100644 --- a/README.md +++ b/README.md @@ -42,9 +42,18 @@ If you found this library to be useful in academic work, then please cite: ```bibtex @article{pal2024nonlinearsolve, - title={NonlinearSolve. jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia}, - author={Pal, Avik and Holtorf, Flemming and Larsson, Axel and Loman, Torkel and Schaefer, Frank and Qu, Qingyu and Edelman, Alan and Rackauckas, Chris}, - journal={arXiv preprint arXiv:2403.16341}, - year={2024} + author = {Pal, Avik and Holtorf, Flemming and Larsson, Axel and Loman, Torkel and Utkarsh and Sch\"{a}fer, Frank and Qu, Qingyu and Edelman, Alan and Rackauckas, Chris}, + title = {NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia}, + year = {2025}, + publisher = {Association for Computing Machinery}, + address = {New York, NY, USA}, + issn = {0098-3500}, + url = {https://doi.org/10.1145/3779117}, + doi = {10.1145/3779117}, + abstract = {Efficiently solving nonlinear equations underpins numerous scientific and engineering disciplines, yet scaling these solutions for challenging system models remains a challenge. This paper presents NonlinearSolve.jl – a suite of high-performance open-source nonlinear equation solvers implemented natively in the Julia programming language. NonlinearSolve.jl distinguishes itself by offering a unified API that accommodates a diverse range of solver specifications alongside features such as automatic algorithm selection based on runtime analysis, support for static array kernels for improved GPU computation on smaller problems, and the utilization of sparse automatic differentiation and Jacobian-free Krylov methods for large-scale problem-solving. Through rigorous comparison with established tools such as PETSc SNES, Sundials KINSOL, and MINPACK, NonlinearSolve.jl demonstrates robustness and efficiency, achieving significant advancements in solving nonlinear equations while being implemented in a high-level programming language. The capabilities of NonlinearSolve.jl unlock new potentials in modeling and simulation across various domains, making it a valuable addition to the computational toolkit of researchers and practitioners alike.}, + note = {Just Accepted}, + journal = {ACM Trans. Math. Softw.}, + month = dec, + keywords = {Nonlinear Systems, Root Finding, Sparsity Detection, Automatic Differentiation, JuliaLang} } ```