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Convergence properties of inexact sequential quadratically constrained quadratic programming method for convex programming

机译:凸编程二次编程二次规划方法的不精确顺序的收敛性

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This paper is concerned with a sequential quadratically constrained quadratic programming (SQCQP) method for convex programming. The SQCQP method solves at each iteration a quadratically constrained quadratic programming subproblem whose objective function and constraints are quadratic approximations of the objective function and constraints of the original problem, respectively. We propose an inexact SQCQP method which solves inexactly the subproblem and prove its global and superlinear convergence properties.
机译:本文涉及一种用于凸编程的连续二次约束的二次规划(SQCQP)方法。 SQCQP方法在每个迭代中解决了二次约束的二次编程子问题,其客观函数和约束分别是原始问题的目标函数和约束的二次近似。我们提出了一种不精确的SQCQP方法,该方法解决了子问题的不精确,并证明了其全局和超连线收敛性。

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