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Approximation methods

An improved modeling approach to investigate biases in human random number generation

Tim Angelike, Jochen Musch

Asymptotic expansions as control variates for deep solvers to fully-coupled forward-backward stochastic differential equations

Makoto Naito, Taiga Saito, Akihiko Takahashi, Kohta Takehara

Continuous approximation and GIS-enhanced design optimization of feeder bus networks along rail corridors

Jiahe Liu, Rui Song

Estimation of the distribution function of a finite population utilizing auxiliary information in the context of non-response within complex survey sampling

Mohsin Abbas, Muhammad Ahmed Shehzad, Haris Khurram, Mahwish Rabia

Autonomous adaptive optimization of NMR experimental conditions for precise inference of minor conformational states of proteins based on chemical exchange saturation transfer

Takuma Kasai, Takanori Kigawa

Inferential procedures for random effects in generalized linear mixed models

Xu Ning, Francis K.C. Hui, Alan Welsh

A study of Mandelbrot and Julia Sets via Picard–Thakur iteration with s-convexity

Bashir Nawaz, Krzysztof Gdawiec, Kifayat Ullah, Maggie Aphane

Information criterion for approximation of unnormalized densities

John Y Choe, Yen-Chi Chen, Nick Terry

Adaptive weighted progressive iterative approximation based on coordinate decomposition

Yushi Liu, Yan Wang, Chengzhi Liu

Numerical heat transfer simulation system based on Lagrangian particle mathematical model and SSPH algorithm

Dan Fang, Conghui Xiong, Wei Yu

Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics

Dinh Viet Cuong, Branislava Lalić, [ ... ], Mark Roantree

Use of generalized randomized response model for enhancement of finite population variance: A simulation approach

Javid Shabbir, Zabihullah Movaheedi

Joint optimization of overbooking and seat allocation for high-speed railways considering stochastic demand

Jing Xu, Lianbo Deng, [ ... ], Weidong Tan

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