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Search: subject:"superlinear convergence"
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A superlinearly convergent subgradient method for sharp semismooth problems
Charisopoulos, Vasileios
;
Davis, Damek
- In:
Mathematics of operations research
49
(
2024
)
3
,
pp. 1678-1709
Persistent link: https://www.econbiz.de/10015047766
Saved in:
2
A generalized Newton method for subgradient systems
Pham Duy Khanh
;
Morduchovič, Boris S.
;
Vo Thanh Phat
- In:
Mathematics of operations research
48
(
2023
)
4
,
pp. 1811-1845
Persistent link: https://www.econbiz.de/10014437724
Saved in:
3
Greedy quasi-Newton methods with explicit
superlinear
convergence
Rodomanov, Anton
;
Nesterov, Jurij Evgenʹevič
-
2020
Persistent link: https://www.econbiz.de/10012271195
Saved in:
4
Rates of
superlinear
convergence
for classical quasi-Newton methods
Rodomanov, Anton
;
Nesterov, Jurij Evgenʹevič
-
2020
Persistent link: https://www.econbiz.de/10012271203
Saved in:
5
New results on multi-dimensional linear discriminant analysis
Beck, Amir
;
Sharon, Raz
- In:
Operations research letters
50
(
2022
)
1
,
pp. 1-7
Persistent link: https://www.econbiz.de/10013177154
Saved in:
6
An adaptive nonmonotone trust region method based on a modified scalar approximation of the Hessian in the successive quadratic subproblems
Rezaee, Saeed
;
Babaie-Kafaki, Saman
- In:
RAIRO / Operations research
53
(
2019
)
3
,
pp. 829-839
Persistent link: https://www.econbiz.de/10012113745
Saved in:
7
Critical Lagrange multipliers : what we currently know about them, how they spoil our lives, and what we can do about it
Izmailov, A. F.
;
Solodov, M. V.
- In:
Top : transactions in operations research
23
(
2015
)
1
,
pp. 1-26
Persistent link: https://www.econbiz.de/10010517979
Saved in:
8
On the convergence of a predictor-corrector variant algorithm
Almeida, R.
;
Teixeira, A.
- In:
Top : transactions in operations research
23
(
2015
)
2
,
pp. 401-418
Persistent link: https://www.econbiz.de/10011553132
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