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A Globally Convergent Algorithm for Nonlinear Programming
作者姓名:Zhao  Yunbin  Duan  Yurong
作者单位:Zhao Yunbin Duan Yurong
摘    要:A new globally convergent algorithm was presented for a continuous differen-tiable nonlinear programming by defining a measure function deviating from the Kuhn-Tucker point. With this algorithm which can be used to get the optimum solution of the problem,the optimal lagrangian multiplier corresponding the optimal solution of the problem was also obtained. A new iterative algorithm for quadratic programming is obtained when applying the general algorithm to quadratic programming. Finally,a numerical example was given.

关 键 词:measure  function  deviating  from  the  Kuhn-Tucker  triad  point  global  conver-gence  feasible  region  vertical  projection

A Globally Convergent Algorithm for Nonlinear Programming
Zhao Yunbin Duan Yurong.A Globally Convergent Algorithm for Nonlinear Programming[J].Storage & Process,1993(5):125-130.
Authors:Zhao Yunbin Duan Yurong
Institution:Zhao Yunbin Duan Yurong
Abstract:A new globally convergent algorithm was presented for a continuous differen-tiable nonlinear programming by defining a measure function deviating from the Kuhn-Tucker point. With this algorithm which can be used to get the optimum solution of the problem,the optimal lagrangian multiplier corresponding the optimal solution of the problem was also obtained. A new iterative algorithm for quadratic programming is obtained when applying the general algorithm to quadratic programming. Finally,a numerical example was given.
Keywords:measure function deviating from the Kuhn-Tucker triad point  global conver-gence  feasible region  vertical projection
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