𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Chaos for a class of linear kinetic models

✍ Scribed by Jacek Banasiak; Mirosław Lachowicz


Publisher
Elsevier Science
Year
2001
Tongue
French
Weight
96 KB
Volume
329
Category
Article
ISSN
1620-7742

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


A large class of models derived from gen
✍ John A. Nelder 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 74 KB 👁 2 views

Generalized linear models may be extended in several ways. This paper describes five such extensions: (i) generalized additive models; (ii) the use of quasi-likelihood; (iii) joint modelling of mean and dispersion; (iv) introduction of extra random components to give hierarchical generalized linear

A New Class of Consistent Estimators for
✍ Hong-Zhi An; Fred J Hickernell; Li-Xing Zhu 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 349 KB

In this paper we propose a new approach for estimating the unknown parameter in the stochastic linear regressive model with stationary ergodic sequence of covariates. Under mild conditions on the joint distribution of the covariate and the error, the estimator constructed is shown to be strongly con

Model reduction for a class of linear dy
✍ F.F. Shoji; K. Abe; H. Takeda 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 469 KB

## In this paper, a model reduction technique to remedy the singularity of reduced- order models is proposed. The approach adopted is based on the least-square fitting of timemoments of the system. The proposed method is also auailable to stabilize unstable reduced models. This method is superior t

Model reduction for a class of linear de
✍ G. Hechme; Yu.M. Nechepurenko; M. Sadkane 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 479 KB

For linear descriptor systems of the form Bẋ = Ax + Cu, y = Ox, this paper constructs reduced order systems associated with a given part of the finite spectrum of the pencil It is known that the reduction can be obtained by a block diagonalization of the generalized Schur decomposition of P(λ). In