• 模型描述的均衡问题一个具有均衡约束的均衡问题(EPEC),可用非线性互补方法求解

    This model can be formulated as an equilibrium problem with equilibrium constraints (EPEC) and be solved by a nonlinear complementarity method.

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  • 一致性性质基础建立区间互补判断矩阵排序非线性规划模型,例分析表明方法是有效可行的。

    Based on the consistent propriety, nonlinear programming methods for priorities of interval number complementary judgment matrix which is illustrated by a numerical number are set up.

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  • 研究了一类非线性互补约束均衡问题

    A kind of nonlinear complementarity constraints with equilibrium problems is studied.

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  • 在一定条件下我们证明非线性互补问题微分方程系统的平衡点,并且证明了微分方程系统的稳定性全局收敛性

    We prove that the solution of a nonlinear complementarity problem is exactly the equilibrium point of differential equation system, and prove the asymptotical stability and global convergence.

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  • 提出基于非线性互补方法最优潮流算法

    An optimal power flow algorithm based on nonlinear complementarity method is proposed.

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  • 针对非线性互补问题提出了与其等价的非光滑方程一个下降算法,并在一定条件下证明了算法的全局收敛性

    This paper presents a new descend algorithm for nonlinear complementarity problems. The global convergence of the algorithm is proved under milder conditions.

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  • 利用凝聚函数一致逼近非光滑极大值函数的性质,将非线性互补问题转化参数光滑方程组。

    By using a smooth aggregate function to approximate the non-smooth max-type function, nonlinear complementarity problem can be treated as a family of parameterized smooth equations.

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  • 互补问题转化非线性映照不动

    Firstly, solving complementarity problems is changed into finding a nonlinear mapping's fixed point.

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  • 提出新的正则伪光滑非线性互补(ncp)函数函数具有良好性质

    In this paper, we present a new nonlinear complementarity (NCP) function which is piecewise linear-rational, regular pseudo-smooth and has nice properties.

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  • 提出了求解非线性互补问题一个光滑逼近算法,在一定条件下证明了算法全局收敛性

    A smoothing approximation algorithm for nonlinear complementarity problems was introduced and the global convergence of the algorithm was proved under milder conditions.

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  • 第三广义非线性互补问题适应信赖方法

    In chapter 3, we present a self-adaptive trust region method for solving generalized nonlinear complementarity problems.

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  • 第二主要将求解定义闭凸多面广义互补问题(GNCP)转化一个非线性方程组问题

    In chapter 2, the generalized nonlinear complementarity problem (GNCP) defined on a polyhedral cone is reformulated as a system of nonlinear equations.

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  • 仿真结果表明方案可以实现模糊控制神经网络优势互补,对不确定非线性系统具有好的控制效果

    Simulation results show that the fuzzy control and neural network can take advantage of each other to possess a good performance in the uncertain nonlinear system.

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  • 本文考虑了线性、平方规划非线性规划问题解存在唯一严格互补性质

    The present paper discusses some properties about existence and unique solution, strict complementarity et al.

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  • 针对这一优化问题通过引入非线性互补问题函数,将优化问题转化非线性方程组采用半光滑牛顿进行求解。

    By introducing nonlinear complementarity problem function, the original optimization problem is transferred equivalently to a set of nonlinear equations and solved by semi-smooth Newton method.

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  • 仿真实验表明算法实现模糊控制神经网络优势互补非线性复杂系统具有良好控制性能

    Experiment results show that the algorithm can obtain the advantages of the fuzzy system and the neural network can have better performance in controlling the nonlinear and complex system.

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  • 利用双输出口调制器典型的互补输出特性,通过置调制器于非线性传输,可得到一对由NRZ序列边沿触发的明暗脉冲

    The MZM is driven by a non-return-to-zero (NRZ) data sequence and biased at the nonlinear point to generate edge-triggered pulses.

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  • 实验结果表明,该算法收敛速度快稳定性好求解非线性互补问题的一种有效算法

    The imitate results manifest that SCO converges fast and stably, and it is an effective algorithm for NCP.

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  • 模型差分动态系统非线性互补函数(NCP)转换的半光滑方程系统构成。

    The new model is composed of difference dynamic system and semi-smooth equations reformulated by NCP.

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  • 模型差分动态系统非线性互补函数(NCP)转换的半光滑方程系统构成。

    The new model is composed of difference dynamic system and semi-smooth equations reformulated by NCP.

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