期刊论文

Chengji Mi

英文

Structures

2352-0124

2023

51

615-627

10.1016/j.istruc.2023.03.007

National Natural Science Foundation of China [51905257, U20B2028]; Hunan Provincial Natural Science Foundation of China [2021JJ40205, 2020JJ6075, 2020JJ7050]; Foundation of Hunan Education Department [21C0427, 21B0406]; China Postdoctoral Science Foundation [2021M690988]

本校为其他机构

An effective nonlinear interval sequential quadratic programming method is proposed to provide an efficient tool for uncertain inverse problems. Assisted by the ideology of sequential quadratic programming and dimension -reduction analysis theory, the interval inverse problem is transformed into several interval arithmetic and deterministic optimizations, which could enhance computational efficiency without losing much accuracy. The novelty of the proposed method lies in two main aspects. First, an alternate updating strategy is proposed to identify the radii and midpoints of the interval inpu...