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Titlebook: Neurovascular Events After Subarachnoid Hemorrhage; Towards Experimental Javier Fandino,Serge Marbacher,Emanuela Keller Book 2015 Springer

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樓主: Opulent
11#
發(fā)表于 2025-3-23 12:17:01 | 只看該作者
12#
發(fā)表于 2025-3-23 14:23:44 | 只看該作者
along with the authors’ contributions. New results are featured on the fundamental properties of solutions of linear transmission evolution PDEs involving Kelvin-Voigt damping, with special emphasis on the asymptotic behavior of these solutions. The vibrations of transmission problems are highlight
13#
發(fā)表于 2025-3-23 19:17:25 | 只看該作者
Fatima A. Sehba PhD,Victor Friedrich PhDelastic structures with local Kelvin-Voigt damping.Serves as.This monograph examines the stability of various coupled systems with local Kelvin-Voigt damping. The development of this area is thoroughly reviewed along with the authors’ contributions. New results are featured on the fundamental proper
14#
發(fā)表于 2025-3-23 22:58:47 | 只看該作者
15#
發(fā)表于 2025-3-24 02:41:59 | 只看該作者
Kerim Beseoglu MD,Nima Etminan MD,Daniel H?nggi MDn the linear approximation is considered, the nat- ural problem is stabilization of a linear system by linear state feedback or by using a linear dynamic controller. This prob- lem was intensively studied during the last decades and many important results have been obtained. The present monograph is
16#
發(fā)表于 2025-3-24 08:31:29 | 只看該作者
17#
發(fā)表于 2025-3-24 13:01:54 | 只看該作者
Takeshi Ogura,Ririko Takeda,Hidetoshi Ooigawa,Hiroyuki Nakajima,Hiroki Kurita MD, PhDs.Gives the control researcher a more sophisticated method oStabilization of Navier–Stokes Flows presents recent notable progress in the mathematical theory of stabilization of Newtonian fluid flows. Finite-dimensional feedback controllers are used to stabilize exponentially the equilibrium solution
18#
發(fā)表于 2025-3-24 18:31:40 | 只看該作者
19#
發(fā)表于 2025-3-24 19:22:54 | 只看該作者
20#
發(fā)表于 2025-3-25 00:28:39 | 只看該作者
Amit Singla MD,Mark R. Villwock MS,Margaret A. Riordan MD,David J. Padalino MD,Eric M. Deshaies MDfast systems.Deals with nonlinear as well as linear cases.La.While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems. Dr. Alamir presents a successful approach to this problem based on a co-operation betwee
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