Results 201 to 210 of about 10,375 (259)

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 9, Page 2107-2157, September 2026.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone   +3 more
wiley   +1 more source

Vertical Vibration Reduction of Maglev Vehicles Using Nonlinear Model Predictive Control

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 3, September 2026.
ABSTRACT This work presents a novel nonlinear model predictive control (NMPC) strategy for high‐speed Maglev vehicles that explicitly incorporates mechanical suspension dynamics into the control model. Unlike conventional approaches, which often neglect the interaction between levitation magnet and car body motion, the proposed method enables ...
Mario Hermle   +2 more
wiley   +1 more source

Solving the where problem and quantifying geometric variation in neuroanatomy using generative diffeomorphic mapping. [PDF]

open access: yesNat Commun
Tward DJ   +9 more
europepmc   +1 more source

Fractal–fractional model for analysis of tuberculosis infection using Ethiopia incidence data

open access: yesQuantitative Biology, Volume 14, Issue 3, September 2026.
Abstract In this study, a fractional‐order SEIuITR $SE{I}_{u}ITR$ model was proposed to examine the transmission of tuberculosis (TB) in the community. The proposed model was rigorously examined for well‐posedness. The basic reproduction number was also derived, and the disease‐free equilibrium was obtained.
Kumama Regassa Cheneke   +2 more
wiley   +1 more source

Model‐Agnostic Influential Outlier Metric

open access: yesStat, Volume 15, Issue 3, September 2026.
ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley   +1 more source

Bayesian Estimation of Transition Rates in Two‐State Nonhomogeneous Markov Jump Processes With Intermittent Observations: An Honest‐Time Data‐Augmentation Approach

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 3, Page 1343-1357, September 2026.
ABSTRACT A possibly time‐dependent transition intensity matrix or generator (Q(t))$$ \left(Q(t)\right) $$ characterizes the law of a Markov jump process (MP). For a time‐homogeneous MP, the transition probability matrix (TPM) can be expressed as a matrix exponential of Q$$ Q $$.
Dario Gasbarra   +2 more
wiley   +1 more source

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