Results 101 to 110 of about 13,572,436 (276)

Elastoplastic deformation analysis by return-mapping and consistent tangent modulus tensor based on subloading surface model (2st Report, Deformation analyses of machine elements)

Nihon Kikai Gakkai ronbunshu, 2014
The implicit stress integration algorithm was devised in the first report by formulating the return-mapping based on the cutting-plane projection and the consistent tangent modulus tensor due to the numerical method for the subloading surface model.
Noriyuki SUZUKI, Koichi HASHIGUCHI, Masami UENO   +2 more
doaj   +1 more source

Application of simplified implicit Euler method for electrophysiological models [PDF]

Computer Research and Modeling, 2020
Alexey Alexeevich Karpaev, Rubin Renatovich Aliev   +1 more
openaire   +1 more source

Automatically Drawing Euler Diagrams with Circles [PDF]

, 2012
Euler diagrams are used for visualizing categorized data. These categories, together with information about when categories share some datum, can be turned into a succinct diagram description from which an Euler diagram can be generated.
Howse, John, Rodgers, Peter, Flower, Jean, Stapleton, Gem   +3 more
core   +1 more source

Linear System Identification and Control of a Low‐Cost High‐Performance Omnidirectional Marine Surface Vehicle for Swarming Applications

Journal of Field Robotics, EarlyView.
ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah, Gianni Cario, Alessandro Casavola, Marco Lupia, Francesco Tedesco   +4 more
wiley   +1 more source

A note on almost sure exponential stability of θ-Euler-Maruyama approximation for neutral stochastic differential equations with time-dependent delay when θ ∈ (12{1 \over 2}, 1)

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica
This paper is motivated by the paper [2]. The main aim of this paper is to extend the stability result from [16], related to the θ-Euler- Maruyama method (θ ∈ (12{1 \over 2}, 1)) for a class of neutral stochastic differential equations with time ...
Obradović Maja, Milošević Marija
doaj   +1 more source

Strong convergence of the linear implicit Euler method for the finite element discretization of semilinear non-autonomous SPDEs driven by multiplicative or additive noise

, 2020
Mukam JD, Tambue A. Strong convergence of the linear implicit Euler method for the finite element discretization of semilinear non-autonomous SPDEs driven by multiplicative or additive noise. Applied Numerical Mathematics.
Mukam, Jean Daniel, Tambue, Antoine
core   +1 more source

Evaluating Pose Estimation Uncertainty From Automatic Point Cloud Registration in Multi‐Sensor Robotic Systems

Journal of Field Robotics, EarlyView.
ABSTRACT The poses derived from automatic point cloud registration between stationary laser scans that occur naturally in robotic multi‐sensor systems operating in stop‐and‐go mode have the potential to greatly improve and aid localization and trajectory estimation.
Max Brandstätter, Markus Mikschi, Jelena Gabela, Finn Linzer, Hans Neuner   +4 more
wiley   +1 more source

Weak error expansion of the implicit Euler scheme

, 2013
In this paper, we extend the Talay Tubaro theorem to the implicit Euler ...
Aboura, Omar
core   +2 more sources

Implicit Taylor methods for stiff stochastic differential equations

, 2001
In this paper we discuss implicit Taylor methods for stiff Itô stochastic differential equations. Based on the relationship between Itô stochastic integrals and backward stochastic integrals, we introduce three implicit Taylor methods: the implicit Euler–
Kevin Burrage, Tian, Tianhai, Burrage, Kevin, Tianhai Tian, Tian, T., Burrage, K.   +5 more
core   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source