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    题名 作者 年代 出处 被引量
1A Kernel Function Based Interior-Point Methods for Solving P_*(κ)-Linear Complementarity Problem显示文摘In this paper, motivated by the complexity results of Interior Point Methods (IPMs) forLinear Optimization (LO) based on kernel functions, we present a polynomial time IPM for solvingP_*(κ)-linear complementarity problem, using a new class of kernel functions. The special case of ournew class was considered earlier for LO by Y. Q. Bai et al. in 2004. Using some appealing propertiesof the new class, we show that the iteration bound for IPMs matches the so far best known theoreticaliteration bound for both large and small updates by choosing special values for the parameters of thenew class.M.Reza PEYGHAMI Keyvan AMINI 2010Acta Mathematica Sinica,English Series2010,26,9:2
2New complexity analysis of IIPMs for linear optimization based on a specific self-regular function显示文摘M. Salahi M.R. Peyghami T. Terlaky 2007European Journal of Operational Research2007,,2:1
3Exploring Complexity of Large Update Interior Point Methods for P, (K) Linear Complementarity Problem Based on Kernel Function 显示文摘AMINI K PEYGHAMI M R 2009Applied Mathematics and Computation2009,207,:1
4Exploring complexity of large update interior-point methods for linear comple- mentarity problem based on Kernel function 显示文摘Keyvan Amini Reza Peyghami M 2009Applied Mathematics and Computation2009,207,1:1
5An interior-point algorithm for linear optimization based on a new kernel function显示文摘Amini K Peyghami M R 2005Southeast Asian Bulletin of Mathematics2005,29,:1
6An interior point method for linear programming based on a class of kernel functions 显示文摘AMINI K PEYGHAMI M R 2005Southeast Asian Bull Math2005,17,1:1
7New complexity analysis of IIPMs for linear optimization based on a specific self-regular function显示文摘SALAHI M PEYGHAMI M R TERLAKY T 2008European Journal of Opertional Research2008,186,2:1
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