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Matthew J. Saltzman
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- affiliation: Clemson University, USA
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2020 – today
- 2022
- [j17]Amy B. Gore, Mary E. Kurz, Matthew J. Saltzman, Blake Splitter, William C. Bridges, Neil J. Calkin:
Clemson University's Rotational Attendance Plan During COVID-19. INFORMS J. Appl. Anal. 52(6): 553-567 (2022)
2010 – 2019
- 2015
- [j16]Matthew J. Saltzman:
Book Reviews. INFORMS J. Comput. 27(1): 189-192 (2015) - 2013
- [j15]Matthew J. Saltzman:
Book Reviews. INFORMS J. Comput. 25(3): 597-598 (2013) - 2012
- [j14]Peter M. Hahn, Yi-Rong Zhu, Monique Guignard, William L. Hightower, Matthew J. Saltzman:
A Level-3 Reformulation-Linearization Technique-Based Bound for the Quadratic Assignment Problem. INFORMS J. Comput. 24(2): 202-209 (2012) - 2010
- [j13]Peter M. Hahn, Matthew J. Saltzman:
A New Branch-and-Bound Solver for the Quadratic Assignment Problem Based on the Level-3 Reformulation-Linearization Technique. Stud. Inform. Univ. 8(2): 97-106 (2010)
2000 – 2009
- 2009
- [j12]Y. Xu, Ted K. Ralphs, Laszlo Ladányi, Matthew J. Saltzman:
Computational Experience with a Software Framework for Parallel Integer Programming. INFORMS J. Comput. 21(3): 383-397 (2009) - 2006
- [j11]Ted K. Ralphs, Matthew J. Saltzman, Margaret M. Wiecek:
An improved algorithm for solving biobjective integer programs. Ann. Oper. Res. 147(1): 43-70 (2006) - 2004
- [j10]Ted K. Ralphs, Laszlo Ladányi, Matthew J. Saltzman:
A Library Hierarchy for Implementing Scalable Parallel Search Algorithms. J. Supercomput. 28(2): 215-234 (2004) - 2003
- [j9]Ted K. Ralphs, Laszlo Ladányi, Matthew J. Saltzman:
Parallel branch, cut, and price for large-scale discrete optimization. Math. Program. 98(1-3): 253-280 (2003) - 2002
- [c1]Laszlo Ladányi, Ted K. Ralphs, Matthew J. Saltzman:
Implementing Scalable Parallel Search Algorithms for Data-Intensive Applications. International Conference on Computational Science (1) 2002: 592-602 - 2000
- [j8]Marie Coffin, Matthew J. Saltzman:
Statistical Analysis of Computational Tests of Algorithms and Heuristics. INFORMS J. Comput. 12(1): 24-44 (2000)
1990 – 1999
- 1996
- [j7]Richard A. Tapia, Yin Zhang, Matthew J. Saltzman, Alan Weiser:
The Mehrotra Predictor-Corrector Interior-Point Method As a Perturbed Composite Newton Method. SIAM J. Optim. 6(1): 47-56 (1996) - 1994
- [j6]Ho-Won Jung, Roy E. Marsten, Matthew J. Saltzman:
Numerical Factorization Methods for Interior Point Algorithms. INFORMS J. Comput. 6(1): 94-105 (1994) - [j5]Robert E. Bixby, Matthew J. Saltzman:
Recovering an optimal LP basis from an interior point solution. Oper. Res. Lett. 15(4): 169-178 (1994) - 1992
- [p1]Matthew J. Saltzman:
Implementation of an interior Point LP Algorithm on a Shared-Memory Vector Multiprocessor. Computer Science and Operations Research 1992: 87-101 - 1991
- [j4]Egon Balas, Matthew J. Saltzman:
An Algorithm for the Three-Index Assignment Problem. Oper. Res. 39(1): 150-161 (1991) - 1990
- [j3]Matthew J. Saltzman, Kevin S. McCurley:
Book Reviews. INFORMS J. Comput. 2(4): 365-368 (1990)
1980 – 1989
- 1989
- [j2]Egon Balas, Matthew J. Saltzman:
Facets of the three-index assignment polytope. Discret. Appl. Math. 23(3): 201-229 (1989) - [j1]Roy E. Marsten, Matthew J. Saltzman, David F. Shanno, George S. Pierce, J. F. Ballintijn:
Implementation of a Dual Affine Interior Point Algorithm for Linear Programming. INFORMS J. Comput. 1(4): 287-297 (1989)
Coauthor Index
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