Global convergence of the partitioned BFGS algorithm for convex partially separable optimization
Mathematical Programming: Series A and B
Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
A tool for the analysis of Quasi-Newton methods with application to unconstrained minimization
SIAM Journal on Numerical Analysis
Mathematical Programming: Series A and B
Global Convergence Analysis of a New Nonmonotone BFGS Algorithm on Convex Objective Functions
Computational Optimization and Applications
A class of gradient unconstrained minimization algorithms with adaptive stepsize
Journal of Computational and Applied Mathematics
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
A modified BFGS method and its global convergence in nonconvex minimization
Journal of Computational and Applied Mathematics - Special issue on nonlinear programming and variational inequalities
On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
SIAM Journal on Optimization
Convergence Properties of the BFGS Algoritm
SIAM Journal on Optimization
CUTEr and SifDec: A constrained and unconstrained testing environment, revisited
ACM Transactions on Mathematical Software (TOMS)
The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization
Computational Optimization and Applications
New conjugacy condition and related new conjugate gradient methods for unconstrained optimization
Journal of Computational and Applied Mathematics
A conjugate gradient method with descent direction for unconstrained optimization
Journal of Computational and Applied Mathematics
A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs
Journal of Computational and Applied Mathematics
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A modified BFGS method is proposed for unconstrained optimization. The global convergence and the superlinear convergence of the convex functions are established under suitable assumptions. Numerical results show that this method is interesting.