On efficient Hessian computation using the edge pushing algorithm in Julia-Reference-Cited by-同舟云学术

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On efficient Hessian computation using the edge pushing algorithm in Julia

Published:2018-09-12 Issue:4-6 Volume:33 Page:1010-1029
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Petra C. G.¹,Qiang F.²,Lubin M.³,Huchette J.³

Affiliation:

1. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, USA

2. Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA

3. Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

U.S. Department of Energy

Lawrence Livermore National Laboratory

Argonne National Laboratory

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2018.1480625

Reference17 articles.

1. LIBSVM

2. Trust Region Methods

3. JuMP: A Modeling Language for Mathematical Optimization

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. $$\mathtt {Tenscalc}$$: a toolbox to generate fast code to solve nonlinear constrained minimizations and compute Nash equilibria;Mathematical Programming Computation;2022-02-08

2. ACORNS: An easy-to-use code generator for gradients and Hessians;SoftwareX;2022-01

3. Research on Image Quality Enhancement Algorithm Using Hessian Matrix;Journal of New Media;2022

4. Hessian with Mini-Batches for Electrical Demand Prediction;Applied Sciences;2020-03-17

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