Results 41 to 50 of about 1,456,492 (292)

Fuzzy Asymptotic Expansions of Meyer-König and Zeller Operators

open access: yesFuzzy Information and Engineering, 2015
In this paper, we discuss asymptotic approximation of the fuzzy Meyer-König and Zeller operator and establish the fuzzy strong asymptotic expansion of Voronovskaja-type in terms of fuzzy number in parametrized triples.
Chun-Juan Yang, Chun-Gou Zhang
doaj   +1 more source

On Estimation of the Remainder Term in New Asymptotic Expansions in the Central Limit Theorem

open access: yesComputer Sciences & Mathematics Forum, 2023
We offer a new asymptotic expansion with an explicit remainder estimate in the central limit theorem. The results obtained are essentially based on new forms of asymptotic expansions in the central limit theorem.
Vitaly Sobolev, Sergey Ramodanov
doaj   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

open access: yesAdvanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka   +3 more
wiley   +1 more source

Asymptotic boundedness and moment asymptotic expansion in ultradistribution spaces [PDF]

open access: yes, 2020
We obtain structural theorems for the so-called S-asymptotic and quasiasymptotic boundedness of ultradistributions. Using these results, we then analyze the moment asymptotic expansion (MAE), providing a full characterization of those ultradistributions ...
Vindas Diaz, Jasson   +3 more
core   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

open access: yesAdvanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou   +4 more
wiley   +1 more source

Asymptotic Expansion for a Black–Scholes Model with Small Noise Stochastic Jump-Diffusion Interest Rate

open access: yes, 2021
In the present paper we study the asymptotic expansion for a Black–Scholes model with small noise stochastic jump-diffusion interest rate. In particular, we consider the case when the small perturbation is due to a general, but small, noise of Lévy type.
Luca Di Persio   +3 more
core   +1 more source

New asymptotic expansions and Padé approximants related to the triple gamma function

open access: yesJournal of Inequalities and Applications, 2022
In this work, our main focus is to establish asymptotic expansions for the triple gamma function in terms of the triple Bernoulli polynomials. As application, an asymptotic expansion for hyperfactorial function is also obtained.
Sourav Das, A. Swaminathan
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

An Asymptotic Expansion with Push-Down of Malliavin Weights [PDF]

open access: yes
This paper derives asymptotic expansion formulas for option prices and implied volatilities as well as the density of the underlying asset price in multi-dimensional stochastic volatility models.
Akihiko Takahashi, Toshihiro Yamada
core   +2 more sources

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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