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CNC FOUR-SHAFT INTERACTIVE MULTIFUNCTIONAL SPARK LINEAR CUTTER
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《China's Foreign Trade》 1997年第9期40-40,共1页
The CNC Four-shaft Interactive Multifunctional Spark Linear Cutter developed by the Beijing City Electric Processing Research Institute and the Technological Development Department of the Dimeng Machinery and Electric... The CNC Four-shaft Interactive Multifunctional Spark Linear Cutter developed by the Beijing City Electric Processing Research Institute and the Technological Development Department of the Dimeng Machinery and Electrical New Technological Company has the following features: 展开更多
关键词 CNC FOUR-SHAFT INTERACTIVE MULTIFUNCTIONAL SPARK linear CUTTER
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Response Process of Oceanto AtmosphericForcing and Optimal Response Frequency in the CZ Ocean Model
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作者 倪允琪 邹力 吴爱明 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 1996年第1期43-58,共16页
Ocean response to atmospheric forcing in the CZ ocean model is analyzed.The results show that Nino 3 indexfrom the CZ ocean model driven by linear composite of biennial,ENSO and even annual time scale wind stressanoma... Ocean response to atmospheric forcing in the CZ ocean model is analyzed.The results show that Nino 3 indexfrom the CZ ocean model driven by linear composite of biennial,ENSO and even annual time scale wind stressanomalies is consistent well with composite of responding two or three components of observed Nino 3 index duringthe EI Nino period while the La Nina phenomena cannot be reproduced by the linear composite.It implies that linearresponse process for ocean response to atmospheric forcing is dominated during the EI Nino period while nonlinearresponse might be main process during the La Nina period.Simulated results also suggest that optimal response frequency of the CZ ocean model is the frequency lowerthan annual variability and ocean response to the atmospheric forcing with annual time scale can give rise to incorrectsignal-errors in the simulated SSTA field. 展开更多
关键词 Response process Atmospheric forcing Simple ocean model linear interaction
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Vertex-Searching Method for Linear Interaction Programming
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作者 PAN Qingfei XIONG Ying QI Hui 《Wuhan University Journal of Natural Sciences》 CAS 2010年第2期113-116,共4页
In order to solve linear interaction programming, the vertex-searching method is proposed in this paper. First, the existence of equilibrium is analyzed for the model of linear interaction programming. Then the conclu... In order to solve linear interaction programming, the vertex-searching method is proposed in this paper. First, the existence of equilibrium is analyzed for the model of linear interaction programming. Then the conclusion is obtained in which the equi- librium is in the boundary of the restriction region of linear interaction programming. Also, a searching equilibrium solution is deduced from the conclusion. 展开更多
关键词 linear interaction programming vertex-searchingmethod equilibrium solution restriction region
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Some Ergodic Theorems for a Parabolic Anderson Model
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作者 Yong LIU LMAM Feng Xia YANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2012年第12期2443-2462,共20页
In this paper, we study some ergodic theorems of a class of linear systems of interacting diffusions, which is a parabolic Anderson model. First, under the assumption that the transition kernel a = (a(i,j))i,j∈s ... In this paper, we study some ergodic theorems of a class of linear systems of interacting diffusions, which is a parabolic Anderson model. First, under the assumption that the transition kernel a = (a(i,j))i,j∈s is doubly stochastic, we obtain the long-time convergence to an invariant probability measure Vh starting from a bounded a-harmonic function h based on self-duality property, and then we show the convergence to the invariant probability measure Uh holds for a broad class of initial distributions. Second, if (a(i, j))i,j∈s is transient and symmetric, and the diffusion parameter c remains below a threshold, we are able to determine the set of extremal invariant probability measures with finite second moment. Finally, in the case that the transition kernel (a(i,j))i,j∈s is doubly stochastic and satisfies Case I (see Case I in [Shiga, T.: An interacting system in population genetics. J. Math. Kyoto Univ., 20, 213-242 (1980)]), we show that this parabolic Anderson model locally dies out independent of the diffusion parameter c. 展开更多
关键词 linear system of interacting diffusion parabolic Anderson model ergodic invariant measures clustering phenomena
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