Results 31 to 40 of about 5,363 (146)
Mean-field limit for collective behavior models with sharp sensitivity regions
We rigorously show the mean-field limit for a large class of swarming individual based models with local sharp sensitivity regions. For instance, these models include nonlocal repulsive-attractive forces locally averaged over sharp vision cones and ...
Carrillo, José A. +3 more
core +2 more sources
Robust Linearization and Eigenvalue Analysis of General Complex Constrained Multibody Systems
ABSTRACT The derivation of linearized equations and subsequent eigenvalue analysis is the basis for tasks such as frequency‐domain response analysis, control design, and stability assessment for mechanical systems. However, for general multibody systems with redundant or nonholonomic constraints, practical challenges persist in achieving numerically ...
Zhiwen Xiao, Gexue Ren
wiley +1 more source
This study investigates the dynamics of infectious disease transmission using an SIR (Susceptible-Infected-Recovered) model. We examine the model’s positivity, equilibrium points, basic reproduction number using the next generation matrix method, and sensitivity to key parameters using the sensitivity index method.
Auwal Lawan +4 more
openaire +1 more source
3D Character Reconstruction from Hand‐drawn Model Sheets
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source
On equivalence classes in iterative learning control [PDF]
This paper advocates a new approach to study the relation between causal iterative learning control (ILC) and conventional feedback control. Central to this approach is the introduction of the set of admissible pairs (of operators) defined with respect ...
Meinsma, Gjerrit +2 more
core +3 more sources
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
We systematically investigated the limited inverse discrete Fourier transform of the quasi distributions from the perspective of inverse problem theory. This transformation satisfies two of Hadamard’s well-posedness criteria, existence and uniqueness of ...
Ao-Sheng Xiong +6 more
doaj +1 more source
In this paper, we introduce a mathematical simulation that captures the dynamics of lumpy skin disease (LSD) by considering three key transmission paths: vector-borne, direct cattle-to-cattle contact and environmental contamination.
Faizah J. Alanazi +4 more
doaj +1 more source
On the average condition number of tensor rank decompositions
We compute the expected value of powers of the geometric condition number of random tensor rank decompositions. It is shown in particular that the expected value of the condition number of $n_1\times n_2 \times 2$ tensors with a random rank-$r ...
Breiding, Paul, Vannieuwenhoven, Nick
core +1 more source
ABSTRACT Purpose Diffusion MRI probes tissue microstructure, but low SNR and limited resolution hinder detection of features and parameter estimates. We introduce slice excitation with random overlap (SERO), which enables variable repetition times (TRs) and diffusion weighting within a single shot.
Felix Mortensen +7 more
wiley +1 more source

