目的:探讨可调钠联合线性超滤对于透析症状低血压患者的影响。方法:选择透析中连续2次发生低血压反应的规律血液透析患者20例,以抽签法随机分为观察组和对照组各10例。对照组采用标准透析模式(SD);观察组采用内置的sodium and UF profli...目的:探讨可调钠联合线性超滤对于透析症状低血压患者的影响。方法:选择透析中连续2次发生低血压反应的规律血液透析患者20例,以抽签法随机分为观察组和对照组各10例。对照组采用标准透析模式(SD);观察组采用内置的sodium and UF proflie系统,选择Na-3,UF-3方案,比较两种模式的透析间期平均体重增加量及实际超滤量,低血压的发生率及在透析中血压的变化。结果:两种模式的透析间期平均体重增加量及实际超滤量比较差异无统计学意义(P>0.05);两种模式透析前及透析1、2h血压差异无统计学意义;透析3、4h血压变化差异有统计学意义(P<0.05﹚;两种模式低血压的发生率差异有显著性统计学意义﹙P<0.01﹚。结论:可调节钠联合线性超滤透析模式,减少了低血压的发生,确保了超滤目标的实现,对于透析低血压患者值得推广。展开更多
This paper proposes an inexact SQP method in association with line search filter technique for solving nonlinear equality constrained optimization. For large-scale applications, it is expensive to get an exact search ...This paper proposes an inexact SQP method in association with line search filter technique for solving nonlinear equality constrained optimization. For large-scale applications, it is expensive to get an exact search direction, and hence the authors use an inexact method that finds an approximate solution satisfying some appropriate conditions. The global convergence of the proposed algorithm is established by using line search filter technique. The second-order correction step is used to overcome the Maratos effect, while the line search filter inexact SQP method has q-superlinear local convergence rate. Finally, the results of numerical experiments indicate that the proposed method is efficient for the given test problems.展开更多
This paper proposes a filter secant method with nonmonotone line search for non-linearequality constrained optimization.The Hessian of the Lagrangian is approximated using the BFGSsecant update.This new method has mor...This paper proposes a filter secant method with nonmonotone line search for non-linearequality constrained optimization.The Hessian of the Lagrangian is approximated using the BFGSsecant update.This new method has more flexibility for the acceptance of the trial step and requires lesscomputational costs compared with the monotone one.The global and local convergence of the proposedmethod are given under some reasonable conditions.Further,two-step Q-superlinear convergence rateis established by introducing second order correction step.The numerical experiments are reported toshow the effectiveness of the proposed algorithm.展开更多
文摘目的:探讨可调钠联合线性超滤对于透析症状低血压患者的影响。方法:选择透析中连续2次发生低血压反应的规律血液透析患者20例,以抽签法随机分为观察组和对照组各10例。对照组采用标准透析模式(SD);观察组采用内置的sodium and UF proflie系统,选择Na-3,UF-3方案,比较两种模式的透析间期平均体重增加量及实际超滤量,低血压的发生率及在透析中血压的变化。结果:两种模式的透析间期平均体重增加量及实际超滤量比较差异无统计学意义(P>0.05);两种模式透析前及透析1、2h血压差异无统计学意义;透析3、4h血压变化差异有统计学意义(P<0.05﹚;两种模式低血压的发生率差异有显著性统计学意义﹙P<0.01﹚。结论:可调节钠联合线性超滤透析模式,减少了低血压的发生,确保了超滤目标的实现,对于透析低血压患者值得推广。
基金supported by the National Science Foundation Grant under Grant No.10871130the Shanghai Leading Academic Discipline Project under Grant No.T0401
文摘This paper proposes an inexact SQP method in association with line search filter technique for solving nonlinear equality constrained optimization. For large-scale applications, it is expensive to get an exact search direction, and hence the authors use an inexact method that finds an approximate solution satisfying some appropriate conditions. The global convergence of the proposed algorithm is established by using line search filter technique. The second-order correction step is used to overcome the Maratos effect, while the line search filter inexact SQP method has q-superlinear local convergence rate. Finally, the results of numerical experiments indicate that the proposed method is efficient for the given test problems.
基金supported by the National Science Foundation of China under Grant No. 10871130the Ph.D. Foundation under Grant No. 20093127110005+1 种基金the Shanghai Leading Academic Discipline Project under Grant No. S30405the Shanghai Finance Budget Project under Grant Nos. 1139IA0013 and 1130IA15
文摘This paper proposes a filter secant method with nonmonotone line search for non-linearequality constrained optimization.The Hessian of the Lagrangian is approximated using the BFGSsecant update.This new method has more flexibility for the acceptance of the trial step and requires lesscomputational costs compared with the monotone one.The global and local convergence of the proposedmethod are given under some reasonable conditions.Further,two-step Q-superlinear convergence rateis established by introducing second order correction step.The numerical experiments are reported toshow the effectiveness of the proposed algorithm.
