Dr István Maros

Professor of Computational Methods of Operations Research

Department of Computing
Imperial College London
Exhibition Road 
LONDON SW7 2AZ 
UK 
 

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+44 (0)20 7594 8447
+44 (0)20 7581 8024
iDOTmarosATimperialDOTacDOTuk (Please replace DOT by . [dot] and AT by @)





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Contents: 


Teaching:

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Research Interests:
  • Operations Research (OR), decision modelling
  • Linear and nonlinear programming 
  • Computational methods of optimization 
  • Implementation technology of optimization software
  • Parallel optimization
  • Applications of OR

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New Book:
 

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New Journal:

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Recent Papers:
  • Maros I, A Piecewise Linear Dual Phase-1 Algorithm for the Simplex Method, Computational Optimization and Applications, 26(2003), pp. 63 to 81.
  • Maros I, A General Pricing Scheme for the Simplex Method, Annals of Operations Research, Kluwer Academic Publishers, 124(2003), pp. 193 to 203.
  • Maros I, A Generalized Dual Phase-2 Simplex Algorithm, European Journal of Operational Research, 149(2003), pp. 1 to 16.
  • Gulpinar N, Mitra G and Maros I, Creating Advanced Bases for Linear Programs Exploiting Embedded Network Structure, Computational Optimization and Applications, 21(2002), pp. 71 to 93.
  • Maros I and Khaliq M H, Advances in Design and Implementation of Optimization Software, European Journal of Operational Research, 140(2002), pp. 322 to 337.
  • Akrotirianakis I, Maros I and Rustem B, An Outer Approximation Based Branch and Cut Algorithm for Convex 0-1 MINLP Problems, Optimization Methods and Software, 16(2001), pp. 21 to 47.
  • Maros I and Thielemans K, PET Image reconstruction by vector norm optimization, Proceedings of MIAR 2001, Medical Imaging and Augmented Reality, IEEE Computer Society, 2001, pp. 152 to 156.
  • Gulpinar N, Gutin G, Mitra G and Maros I, Detecting Embedded Networks in LP Using GUB Structures and Independent Set Algorithms, Computational Optimization and Applications, 15 (2000), pp. 235 to 247.
  • Maros I and Mitra G, Investigating the sparse simplex method on a distributed memory multiprocessor, Parallel Computing, 26(2000), pp. 151 to 170.
  • Maros I and Mészáros C, A repository of convex quadratic programming problems, Optimization Methods and Software, 11&12 (1999), pp. 671 to 681.
  • Maros I and Mitra G, Strategies for creating advanced bases for large-scale linear programming problems, INFORMS Journal on Computing, 10(1998), pp. 248 to 260.
  • Maros I and Mészáros C, The role of the augmented system in interior point methods, European Journal of Operational Research, 107 (1998), pp. 720 to 736.
  • Maros I, A Piecewise Linear Dual Procedure in Mixed Integer Programming, in Schaible, Komlosi (Eds.), New Trends in Mathematical Programming, Kluwer Academic Publishers, 1998, pp. 159 to 170.
  • Maros I and Mitra G, Simplex Algorithms, Chapter 1 in Beasley J. (ed.) Advances in Linear and Integer Programming, Oxford University Press, 1996, pp. 1 to 46.
  • Maros I and Mitra G, Finding Better Starting Bases for the Simplex Method, in Kleinschmidt, P. et al. (eds.) Operations Research Proceedings 1995, Springer Verlag, 1996, pp. 7 to 12.
  • Ruuth S, Lucas C, Maros I and Mitra G, Solution of a nonlinear robot assignment problem, in E. Matson (ed.): Essays in honour of Bjorn Nygreen on his 50th birthday, Department of Managerial Economics and Operations Research, Norwegian University of Science and Technology, Trondheim, Norway, 1996, pp. 49 to 60.
  • Maros I and Mészáros C, A Numerically Exact Implementation of the Simplex Method, Annals of Operations Research, Baltzer Science Publishers, 58(1995), pp. 3 to 17.
  • Ellison E F D., Hajian M, Levkovitz R, Maros I, Mitra G and Sayers D, FortMP Manual, Department of Mathematics and Statistics, Brunel University, West London, and NAG, Oxford, May 1994.
  • Maros I, A Practical Anti-Degeneracy Row Selection Technique in Network Linear Programming, Annals of Operations Research, Baltzer Science Publishers, 47(1993), pp. 431 to 442.
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Selected Technical Reports:

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Colleagues in related research areas:
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A collection of quadratic programming data files in QPS format:

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