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Peihuang Lu
Researcher at Northwestern University
Publications - 2
Citations - 7855
Peihuang Lu is an academic researcher from Northwestern University. The author has contributed to research in topics: Broyden–Fletcher–Goldfarb–Shanno algorithm & Hessian matrix. The author has an hindex of 2, co-authored 2 publications receiving 6760 citations.
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A limited memory algorithm for bound constrained optimization
TL;DR: An algorithm for solving large nonlinear optimization problems with simple bounds is described, based on the gradient projection method and uses a limited memory BFGS matrix to approximate the Hessian of the objective function.
Journal ArticleDOI
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
TL;DR: L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the variables, intended for problems in which information on the Hessian matrix is difficult to obtain, or for large dense problems.