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相关机构：东南大学哈尔滨工业大学北京应用物理与计算数学研究所上海交通大学更多>>
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Lagrangian stability of a class of second-order periodic systems with nonlinear damping term
《Journal of Southeast University(English Edition)》2012年第1期130-134,共5页江舜君 方芳 
The National Natural Science Foundation of China(No. 11071038);the Natural Science Foundation of Jiangsu Province(No. BK2010420)
By the iteration of the KAM, the following second- order differential equation （ Фp （x′））′ ＋ F（x, x′, t） ＋ ω^PФp （x′） ＋α│x│^l ＋e（x, t） =0 is studied, where Фp（S） = │S│^p-2s, p 〉 1, α〉 0...
关键词：reversible system KAM theorem boundedness ofsolutions 
Second-order difference scheme for a nonlinear model of wood drying process
《Journal of Southeast University(English Edition)》2006年第4期582-588,共7页姜明杰 孙志忠 
The National Natural Science Foundation of China (No10471023)
A numerical simulation for a model of wood drying process is considered. The model is given by a couple of nonlinear differential equations. One is a nonlinear parabolic equation and the other one is a nonlinear ordin...
关键词：wood drying process model nonlinear differential equation difference scheme method of reduction of order STABILITY CONVERGENCE 
Anti-periodic solutions to a class of second-order evolution equations
《Journal of Southeast University(English Edition)》2003年第4期432-436,共5页张莉娜 薛星美 
In this paper we discuss the anti-periodic problem for a class of abstractnonlinear second-order evolution equations associated with maximal monotone operators in Hilbertspaces and give some new assumptions on operato...
关键词：maximal monotone operator anti-periodic solution poincare inequality second-order evolution equations 
A Class of Second-Order Characteristic Difference Schemes for a Model of Population Dynamics
《Journal of Southeast University(English Edition)》1998年第2期135-139,共5页陈绍炳 孙志忠 
In this paper, a three level characteristic difference scheme is proposed for the model of age structured population with history dependent mortality and natality. It is proved that the scheme is second order converge...
关键词：finite difference simulation population dynamics CONVERGENCE 
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