Convergence analysis of an improved BFGS method and its application in the Muskingum model
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Publication:2007100
DOI10.1155/2020/4519274zbMath1459.65088OpenAlexW3078710903MaRDI QIDQ2007100
Pengyuan Li, Xiaoliang Wang, Tianshan Yang
Publication date: 12 October 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/4519274
Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Methods of quasi-Newton type (90C53)
Cites Work
- Unnamed Item
- Convergence analysis of a modified BFGS method on convex minimizations
- New quasi-Newton equation and related methods for unconstrained optimization
- The BFGS method with exact line searches fails for non-convex objective functions
- A class of parameter estimation methods for nonlinear Muskingum model using hybrid invasive weed optimization algorithm
- The superlinear convergence of a modified BFGS-type method for unconstrained optimization
- The global convergence of the BFGS method with a modified WWP line search for nonconvex functions
- Global convergence of BFGS and PRP methods under a modified weak Wolfe-Powell line search
- A modified BFGS type quasi-Newton method with line search for symmetric nonlinear equations problems
- A modified nonmonotone BFGS algorithm for unconstrained optimization
- The global convergence of a modified BFGS method for nonconvex functions
- New quasi-Newton methods for unconstrained optimization problems
- On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
- A Tool for the Analysis of Quasi-Newton Methods with Application to Unconstrained Minimization
- Quasi-Newton Methods, Motivation and Theory
- On the Local and Superlinear Convergence of Quasi-Newton Methods
- A Characterization of Superlinear Convergence and Its Application to Quasi-Newton Methods
- Convergence Properties of the BFGS Algoritm
- A modified BFGS method and its global convergence in nonconvex minimization
- Benchmarking optimization software with performance profiles.
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