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M

Matt Menickelly

united states department of energy (doe)

12H指数
49论文数
550被引数
收录论文 7
发表时间
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A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers无共同随机数条件下的随机拟牛顿法
errJournal of Optimization Theory and Applications
IF1.5
err2026-01-23
err0
PREAI
errMenickelly, Matt; Wild, Stefan M.; Xie, Miaolan
err分享
err收藏
Augmenting subspace optimization methods with linear bandits通过线性上下文 bandit 增强 子空间优化方法
errOPTIMIZATION METHODS & SOFTWARE
IF1.4
err2026-01-01
err0
PREAI
errMenickelly, Matt
err分享
err收藏
HFBTHO-AD: Differentiation of a nuclear energy density functional codeHFBTHO-AD：核能量密度泛函代码的分化
errComputer Physics Communications
IF3.4
err2025-11-19
err0
PREAI
errLaurent Hascoët; Matt Menickelly; Sri Hari Krishna Narayanan; Jared O’neal; Nicolas Schunck; Stefan M. Wild
err分享
err收藏
Structure-aware methods for expensive derivative-free nonsmooth composite optimization昂贵的无导数非光滑复合优化的结构感知方法
errMATHEMATICAL PROGRAMMING COMPUTATION
IF3.6
err2023-08-19
err2
errOAAI
errLarson, Jeffrey; Menickelly, Matt
err分享
err收藏
Latency considerations for stochastic optimizers in variational quantum algorithms
errQUANTUM
IF5.4
err2023-03-16
err6
errOAAI
errMenickelly, Matt; Ha, Yunsoo; Otten, Matthew
err分享
err收藏
TUNING MULTIGRID METHODS WITH ROBUST OPTIMIZATION AND LOCAL FOURIER ANALYSIS
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2021-01-05
err13
PREAI
errBrown, Jed; He, Yunhui; MacLachlan, Scott; Menickelly, Matt; Wild, Stefan M.
err分享
err收藏
Optimization and supervised machine learning methods for fitting numerical physics models without derivatives*
errJOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
IF3.5
err2020-12-31
err12
errOAAI
errBollapragada, Raghu; Menickelly, Matt; Nazarewicz, Witold; O'Neal, Jared; Reinhard, Paul-Gerhard; Wild, Stefan M.
err分享
err收藏

研究方向

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合作学者
合作期刊
W
W. Nazarewicz
H 指数: 98 · 论文数: 761
P
P.‐G. Reinhard
H 指数: 74 · 论文数: 751
N
N. Schunck
H 指数: 41 · 论文数: 198
S
Stefan M. Wild
H 指数: 37 · 论文数: 296
Y
Yunhui He
H 指数: 36 · 论文数: 158
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