Methods for Large-Scale Optimization
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-26790-1_18
Reference14 articles.
1. Bogle, I.D.L., Perkins, J.D.: A new sparsity preserving quasi-Newton update for solving nonlinear equations. SIAM J. Sci. Stat. Comput. 11(4), 621–630 (1990)
2. Brown, P.N.: A local convergence theory for combined inexact-Newton/finite difference methods. SIAM J. Numer. Anal. 24, 407–434 (1987)
3. Dembo, R.S., Eisenstat, S.C., Steihaug, T.: Inexact Newton methods. SIAM J. Numer. Anal. 19, 400–408 (1982)
4. Fasano, G., Lucidi, S.: A nonmonotone truncated Newton-Krylov method employing negative curvature directions for large scale unconstrained optimization. Optim. Lett. 3(4), 521–535 (2009)
5. Grippo, L., Lampariello, F., Lucidi, S.: A truncated Newton method with nonmonotone linesearch for unconstrained optimization. J. Optim. Theory Appl. 60, 401–419 (1989)
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