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A Polynomial Primal-dual Dikin-type Algorithm for Linear Programming
Jansen, B.
;
Roos, C.
;
Terlaky, T.
- In:
Mathematics of operations research
21
(
1996
)
2
,
pp. 341-353
Persistent link: https://www.econbiz.de/10006420580
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2
Sensitivity analysis in linear semi-infinite programming via partitions
Goberna, M. A.
;
Terlaky, T.
;
Todorov, M. I.
- In:
Mathematics of operations research
35
(
2010
)
1
,
pp. 14-26
Persistent link: https://www.econbiz.de/10003953544
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3
On computing the nonlinearity interval in parametric semidefinite optimization
Hauenstein, Jonathan D.
;
Mohammad-Nezhad, Ali
;
Tang, …
- In:
Mathematics of operations research
47
(
2022
)
4
,
pp. 2989-3009
Persistent link: https://www.econbiz.de/10014311395
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4
Comparison of Lasserre's measure-based bounds for polynomial optimization to bounds obtained by simulated annealing
Klerk, Etienne de
;
Laurent, Monique
- In:
Mathematics of operations research
43
(
2018
)
4
,
pp. 1317-1325
Persistent link: https://www.econbiz.de/10011957064
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5
Bound-constrained polynomial optimization using only elementary calculations
Klerk, Etienne de
;
Lasserre, Jean B.
;
Laurent, Monique
; …
- In:
Mathematics of operations research
42
(
2017
)
3
,
pp. 834-853
Persistent link: https://www.econbiz.de/10011742535
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6
Worst-case examples for Lasserre's measure-based hierarchy for polynomial optimization on the hypercube
Klerk, Etienne de
;
Laurent, Monique
- In:
Mathematics of operations research
45
(
2020
)
1
,
pp. 86-98
Persistent link: https://www.econbiz.de/10012183021
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7
Complexity analysis of a sampling-based interior point method for convex optimization
Badenbroek, Riley
;
Klerk, Etienne de
- In:
Mathematics of operations research
47
(
2022
)
1
,
pp. 779-811
Persistent link: https://www.econbiz.de/10013364947
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