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gradient projection method中文是什么意思

  • 梯度投影法

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  • 例句與用法
  • General gradient projection method of interior points for linear coustrained optimization
    一個求解線性不等式約束的非線性規(guī)劃的廣義梯度投影內(nèi)點算法
  • Generalized three term - memory gradient projection method for nonlinear programming with nonlinear equality and inequality constraints
    求解非線性等式和不等式約束優(yōu)化問題的三項記憶梯度廣義投影算法
  • Then based on the gradient projection method , the gradient projection direction is deduced . the gradient direction is the base for sensitivity analysis
    接著,根據(jù)投影梯度法,推導出了投影梯度方向,該梯度方向是靈敏度分析的基礎。
  • In chapter 2 . we give a class of new algorithms for nonlinear programming problems with linear constrained by combining the gradient projection method with non - quasi - newton method which was given in paper [ 2 ] . it ' s global convergence and the superlinear convergence are proved under suitable conditions
    在第二章中我們將梯度投影與文[ 2 ]中的非擬牛頓法相結合,給出了求解線性約束非線性優(yōu)化問題的一類梯度投影非擬牛頓算法。
  • Used perturbed method and making inexact generalized gradient projection with cone , perturbed generalized gradient projection method is proposed . the field of the algorithm is extended . numerical experiments show that the method is effective . secondly , using the trust region form and the pseudo - directional derivative of minimax problem , we propose the trust region form of minimax problem
    對信賴域法作了進一步的研究,借助minimax問題的偽方向導數(shù),構造出其信賴域二次模型,并結合非單調(diào)策略,給出求解minimax問題的簡單易行的信賴域算法。
  • In chapter 5 , the authors study the convergence properties of the gradient projection method for the constrained optimization problem . in this chapter , a new step - size rule , which avoids fulfiling the classical line search and includes choosing a constant as the step size as a special case , is presented and analyzed
    第五章研究了求解約束最優(yōu)化問題的梯度投影方法,在步長的選取時采用了一種新的策略,這種策略不需要進行傳統(tǒng)的線搜索且包含步長取常數(shù)這種特例,在較弱的條件下,證明了梯度投影方法的全局收斂性。
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