A Modified BFGS Trust-region Method for Nonlinear Inequality Constrained Optimization Problem
WU Hong-mei
Abstract
WU Hong-mei
Abstract
The modified BFGS update formula to inequality constrained optimization problem has been succeed generalized. The modified BFGS be used update formula construct a new trust-region sub-problem, and then obtain a modified BFGS trust-region algorithm for inequality constrained optimization problem. Under certain conditions, the method is proved feasible.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The modified BFGS update formula to inequality constrained optimization problem has been succeed generalized. The modified BFGS be used update formula construct a new trust-region sub-problem, and then obtain a modified BFGS trust-region algorithm for inequality constrained optimization problem. Under certain conditions, the method is proved feasible.
Key concepts: Broyden–Fletcher–Goldfarb–Shanno algorithm, Trust region, Mathematical optimization, Quasi-Newton method, Nonlinear programming, Inequality, Optimization problem, Mathematics