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4篇 您的检索式：作者名="Shangyou Feng"

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		题名	作者	年代	出处	被引量
	1	Water Pollution in China: Current Status, Future Trends and Countermeasures显示文摘	MEI Yadong FENG Shangyou	1993	Chiness Geographical Science1993，3，1：	1
	2	Mulfiobjective risk analysis in a keywater control project management显示文摘	Ji Changming Liping Wang Shangyou Feng	1994	Modelling Measurement & Control France1994，9，4：	1
	3	MULTIOBJECTIVE PROGRAMMING MODEL FOR SEDIMENT SLUICING AND POWER GENERATION IN RESERVOIR OPERATION显示文摘A multiobjective dynamic programming model is developed for solving the multiobjective problem to maximize power generation and in the same time to alleviate sediment deposition in reservoir operation. A three-stage iterative algorithm for the solution of the model is presented. By using the iterative algorithm to solve the model, the whole set of non-inferior solutions for two objectives and the relevant reservoir’s non-inferior operation policies can be obtained. This model is capable to deal with the sellman’s 'curse of dimensionality' encountered in the multiobjective programming. The case study shows that the model is convenient to deal with the contradiction between power generation and sedimentation in reservoir and the iterative algorithm is efficient for solving such problems.	ZHANG Yuxin and FENG Shangyou Wuhan University of Hydraulic and Electric Engineering, The English text is edited by Dr Ding Lianzhen	1993	International Journal of Sediment Research1993，8，1：	0
	4	AStabilizer-FreeWeak Galerkin Finite Element Method for the Stokes Equations显示文摘A stabilizer-free weak Galerkin finite element method is proposed for the Stokes equations in this paper.Here we omit the stabilizer term in the new method by increasing the degree of polynomial approximating spaces for the weak gradient operators.The new algorithm is simple in formulation and the computational complexity is also reduced.The corresponding approximating spaces consist of piecewise polynomials of degree k≥1 for the velocity and k-1 for the pressure,respectively.Optimal order error estimates have been derived for the velocity in both H^(1) and L^(2) norms and for the pressure in L^(2) norm.Numerical examples are presented to illustrate the accuracy and convergency of the method.	Yue Feng Yujie Liu Ruishu Wang Shangyou Zhang	2022	Advances in Applied Mathematics and Mechanics2022，14，1：	0

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