1)superlinear convergence超线性收敛
1.A Class of Generalized Quasi-Newton Algorithms with Superlinear Convergence;具有超线性收敛性质的一类广义拟牛顿算法
2.The Wolf e linear search is adopted to replace the Armijo linear search in the BFGS-SQP algorithm, through the same analysis, the algorithm even have global and superlinear convergence.采用 Wolfe线性搜索原则来替代BFGS—SQP算法的Armijo原则,经过类似的分 析,得到了BFGS—SQP算法的全局收敛性及超线性收敛性。
3.Under mild conditions,a new feasible descent algorithm is presented and its global and superlinear convergence are proved by using the technique of combining generalized projection method with sequential systems of linear equations.在较温和的条件下,采用广义投影和序列线性方程组相结合的技术,建立一个新的可行下降算法,证明了算法的全局收敛性和超线性收敛性。
英文短句/例句
1.Local Q-superlinear Convergence of a Modified BFGS Algorithm一类修正BFGS算法的局部超线性收敛性
2.The authors also prove that the method has superlinear convergence rate.证明了此法具有全局收敛性和局部超线性收敛性.
3.A Class of Generalized Quasi-Newton Algorithms with Superlinear Convergence;具有超线性收敛性质的一类广义拟牛顿算法
4.Research on the Superlinearly Convergent Algorithms for Optimization with Equilibrium Constraints均衡约束优化具有超线性收敛性算法的研究
5.A Superlinearly Convergent SQP Algorithm for Infinte Discretized Problems From Semi-infinite Programming离散半无限规划的一个超线性收敛的SQP算法
6.A Superlinearly Convergent SSLE Algorithm for Optimization Problem with Linear Complementarity Constraints;线性互补约束优化问题一个超线性收敛的序列线性方程组算法
7.A Superlinearly Convergent Norm-Relaxed Method of Strongly Sub-Feasible Directions for Nonlinearly Constrained Optimization;非线性约束最优化超线性收敛的模松弛强次可行方向法
8.The Superlinear Convergence of Quasi-Newton Methods Based on the New Quasi-Newton Equation;基于新拟牛顿方程的拟牛顿法的超线性收敛性分析
9.A Superlinearly Convergent Norm-Relaxed Method of Feasible Directions for Finely Discretized Problems from Semi-Infinite Programming;半无限规划离散化问题超线性收敛的模松弛可行方向法
10.A Superlinearly Convergent Strongly Sub-Feasible SQP Algorithm for Constrained Optimization Without Strict Complementarity;约束优化无严格互补的超线性收敛SQP强次可行算法
11.A SUPERLINEARLY CONVERGENT FSSLE ALGORITHM FOR INEQUALITY CONSTRAINED OPTIMIZATION WITH QUASI-REGULARITY不等式约束优化拟正则条件下的超线性收敛FSSLE算法
12.The Global Superconvergence of Finite Element Method for a Kind of Nonlinear Hypobolic Equation非线性拟双曲方程有限元方法的整体超收敛
13.The Convergence Theorems of Iteration Methods for Nonlinear Equations and Convergence Rate Estimate;非线性方程迭代法的收敛定理及收敛率估计
14.Some Ultra-convergent Derivative Recovery Schemes for Piecewise Linear Interpolation;分片线性插值的几种强超收敛的导数后处理格式
15.Asymptotic Expansion and Super Convergence of a Kind of Quasilinear Parabolic and Hyperbolic Equations Using Generalized Finite Element Method;一类拟线性抛物与双曲方程广义有限元方法的渐近展式和超收敛
16.Asymptotic Expansion and Superconvergence of Generalized Finite Element Method for Quasilinear Equations;拟线性方程广义有限元方法的渐进展式和超收敛
17.The Global Superconvergence of Finite Element Method for a Kind of Strongly Nonlinear Parabolic Integro-differential Equations一类完全非线性抛物积分微分方程有限元方法的整体超收敛
18.Superconvergence Analysis of Nonconforming FEM Approximation of A Quasilinear Elliptic Problem of Nonmonotone Type非协调元逼近非单调型拟线性椭圆问题的超收敛分析
相关短句/例句
super-linear convergence超线性收敛
1.Boggs,Tolle and Wang extended the analogous result from solving unconstrained optimization problems to the equality constrained problems and obtained a characterized result,which is an important equivalent condition to SQP algorithm s super-linear convergence.对于等式约束问题,Boggs,Tolle和Wang三人将Dennis,Moré的求解无约束优化问题的类似结果加以推广,得到了SQP算法超线性收敛的一个极为重要的充要条件。
2.In this paper, the Wolfe line search is used to replace the Armijo line search in the BFGS-SQP algorithm, through the same analysis as Chen, the algorithm even has global and q-super-linear convergence.本文采用Wolfe线性搜索原则来替代该BFGS-SQP算法的Armijo原则,经过类似的分析,同样得到了BFGS-SGP算法的全局收敛性及超线性收敛性。
3.Under some conditions,the global convergence and the super-linear convergence are proven.在一定的假设条件下,证明了该算法的全局收敛性和超线性收敛。
3)Superlinear/Quadratical convergent超线性收敛/二次收敛
4)superlinear convergence超线性收敛性
1.The superlinear convergence of the primal variables under milder conditions is proved.讨论了利用NCP函数将KKT条件转化为与之等价的一个半光滑等式,并针对求解这个半光滑KKT等式的混合拟牛顿算法,在比较弱的条件下,证明了算法所计算的序列中原问题变量的超线性收敛性。
2.However,in the proof of the superlinear convergence,their method still completely relies on this condition.本文改进了这一结果,在对原假设进行分析的基础上,给出了比严格互补性假设更弱的条件,证明在这一新假设下仍然可以得到超线性收敛性。
3.By choosing the proper parameters,we can prove that the new method has global and superlinear convergence properties under suitable conditions.通过选择适当的参数,证明了改进的BFGS方法对于一类更广的搜索准则保持局部收敛性,在Wolfe搜索准则下方法还具有超线性收敛性。
5)local superlinear convergence局部超线性收敛
6)Q-superlinear convergencyQ-超线性收敛
延伸阅读
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