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Burke, James V.
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A study of convex convex-composite functions via infimal convolution with applications
Burke, James V.
;
Hoheisel, Tim
;
Nguyen Quang Van
- In:
Mathematics of operations research
46
(
2021
)
4
,
pp. 1324-1348
Persistent link: https://www.econbiz.de/10012796643
Saved in:
2
Strong metric (sub)regularity of Karush-Kuhn-Tucker mappings for piecewise linear-quadratic convex-composite optimization and the quadratic convergence of Newton's method
Burke, James V.
;
Engle, Abraham
- In:
Mathematics of operations research
45
(
2020
)
3
,
pp. 1164-1192
Persistent link: https://www.econbiz.de/10012293377
Saved in:
3
Variational Analysis of the Abscissa Mapping for Polynomials via the Gauss-Lucas Theorem
Burke, James V.
;
Lewis, Adrian S.
;
Overton, Michael L.
- In:
Journal of global optimization : an international …
28
(
2004
)
3-4
,
pp. 259-268
Persistent link: https://www.econbiz.de/10007154027
Saved in:
4
The Global Linear Convergence of a Noninterior Path-Following Algorithm for Linear Complementarity Problems
Burke, James V.
;
Xu, Song
- In:
Mathematics of operations research
23
(
1998
)
3
,
pp. 719-734
Persistent link: https://www.econbiz.de/10006419779
Saved in:
5
A relative weighting method for estimating parameters and variances in multiple data sets
Bell, Bradley M.
;
Burke, James V.
;
Schumitzky, Alan
- In:
Computational Statistics & Data Analysis
22
(
1996
)
2
,
pp. 119-135
Persistent link: https://www.econbiz.de/10005172181
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