e-mail: 
tel.: 279-6120

• diploma in mathematics: Eötvös Loránd University, Budapest
• candidate of sciences (Ph.D.): Eötvös Loránd University, Budapest, 1996

• operations research
• numerical methods of interior-points algorithms

• 1996: Youth Institute Award, MTA SZTAKI
• 1997: Citation of Excellence, ANBAR Electronic Intelligence
• 1997: Gyula Farkas Prize
• 1997, 2002: Institute Award, MTA SZTAKI
• 1998-2000,2000-2001: Bolyai János Research Fellowship of the Hungarian Academy of Sciences
• 2000: Institute Publication Award, MTA SZTAKI
• 2001-2002: Alexander von Humboldt Kutatói Ösztöndíj
• 2002: Youth Award of the Hungarian Academy of Sciences

1. ANDERSEN E. - GONDZIO J. - MÉSZÁROS CS. - XIAOIJE X.: Iplementation of interior point methods for linear programming. in: Interior Point Methods in Mathematical Programming, (ed. T. Terlaky) Kluwer Academic Publisher, 1996. pp. 189-252.

1. MÉSZÁROS CS.: Basis Inverse of Large-scale and Sparse Linear Programming Problems. (in Hungarian) Alkalmazott Matematikai Lapok 16:279-310 (1992)
2. MÉSZÁROS CS.: On the modifications of the affine scaling algorithm (in Hungarian). Alkalmazott Matematikai Lapok 17:185-194 (1993)
3. CSÁKI P. - CSISZÁR L. - FÖLSZ F. - KELLER K. - LÓRÁNT G. - MÉSZÁROS CS. - RAPCSÁK T. - TURCHÁNYI P.: Supporting group decision making on personal computers, in WINDOWS environment. (in Hungarian) Szigma XXV.4:169-190 (1994)

1. MÉSZÁROS C. On numerical issues of interior point methods, Siam J. on Matrix Anal. Appl. ,  Vol 30, No. 1: 223-235, (2008).
2. MÉSZÁROS C. Detecting "dense" columns in interior point methods for linear programs, Computational Optimization and Applications, Vol 36, issue 2-3: 309-320, (2007)
3. MÉSZÁROS C. Sparsity in convex quadratic programming with interior point methods, Optimization Methods and Software, Vol. 21, No. 5:733-745, (2006)
4. MÉSZÁROS C. - RAPCSÁK, T.: A remark on: Rudolf Vetschera, Strict preference and sensitivity analysis in additive utility functions with interval data, Central European Journal of Operations Research. Vol. 13, No.2:209- 210, (2005).
5. MÉSZÁROS C. On the performance of the Cholesky factorization in interior point methods on Pentium 4 processors, Central European Journal of Operations Research, Vol 13,No. 4:289-298, (2005).
6. MÉSZÁROS C. On the Cholesky factorization in interior point methods, Computers & Mathematics with Applications 50:1157-1166, (2005).
7. MÉSZÁROS CS. and SUHL U.H.: Advanced preprocessing techniques for linear and quadratic programming, OR Spectrum, Vol 24, No. 4:575-596, 2003.
8. MÉSZÁROS CS. and GONDZIO J.: Addendum to "Presolve Analysis of Linear Programs Prior to Applying an Interior Point Method". Informs Journal on Computing,  Vol.13, No.2:169-170, (2001)
9. MÉSZÁROS CS.: Steplengths in infeasible primal-dual interior point methods of quadratic programming, Operations Research Letters 25:39-45 (1999)
10. MÉSZÁROS CS. and RAPCSÁK T. and SÁGI Z.: Pollution transmission in the air, In: Z.Zlatev et al. (eds.), Large-Scale Computations in Air Pollution Modelling, Kluwer Academic Publishers, 1999, p. 235-247.
11. MÉSZÁROS CS.: The BPMPD interior point solver for convex quadratic programming problems. Optimization Methods and Software,  11&12:431- 449, (1999)
12. MÉSZÁROS CS.: BPMPD v.2.21. Optimization Methods and Software, 11&12: Software Page, CD Supplement, (1999)
13. MAROS I. - MÉSZÁROS CS.: A repository of convex quadratic programming problems. Optimization Methods and Software,  11&12:671- 681, (1999)
14. MAROS I. - MÉSZÁROS CS.: QPDATA Quadratic Programming Test Library. Optimization Methods and Software, Test Sets Page, CD Supplement, (1999)
15. MAROS I. - MÉSZÁROS CS.: The Role of the Augmented System in Interior Point Methods. 1996. European Journal of Operations Research 107:720- 736, (1998)
16. MÉSZÁROS CS.: Ordering heuristics in interior point LP LP methods, in: New Trends in Mathematical Programming,  (eds.: F Gianessi, S. Komlósi and T. Rapcsák), Kluwer Academic Publishers, 203-221, (1998)
17. MÉSZÁROS CS.: On free variables in interior point methods. Optimization Methods and Software,  4:121-139, (1998)
18. MÉSZÁROS CS.: The augmented system variant of IPMs in two-stage stochastic linear programming computation, European Journal of Operations Research, 101/2:317-327,  (1997)
19. MÉSZÁROS CS.: Fast Cholesky Factorization for Interior Point Methods of Linear Programming. Computers & Mathematics with Applications 31: 49- 51. (1996)
20. FÖLSZ F. - MÉSZÁROS CS. - RAPCSÁK T.: Transport optimization of gas- cylinders. Zeitschrift fur Angewandte Mathematik und Mechanik 76:425- 426. (1996)
21. MÉSZÁROS CS. - RAPCSÁK, T.: On sensitivity analysis for a class of decision systems. Decision Support Systems 16:231-240. (1996) 
22. CSÁKI P. - CSISZÁR L. - FÖLSZ F. - KELLER K. - MÉSZÁROS CS. - RAPCSÁK T. - TURCHÁNYI P.: A flexible framework for group decision support: WINGDSS Version 3.0. Annals of Operations Research 58:441-453. (1995) 
23. MAROS I. - MÉSZÁROS CS.: A numerically exact implementation of the simplex method. Annals of Operations Research 58:3-17. (1995) 
24. FÖLSZ F. - MÉSZÁROS CS. - RAPCSÁK T.: Distribution of gas cylinders. European Journal of Operations Research 87:313-323. (1995)

Summarizing data on the scientific activity:

• total number of referred articles: 27
• in foreign journals from the above: 24
• in Hungarian journals published in Hungarian: 3
• number of references (without self-references): 200
• number of lectures at international conferences: 18
• number of monograph chapters: 1

• OTKA # F029101 - Numerical methods of interior point algorithms (1999-2001)

• WINGDSS Group Decision Support Software System
• BPMPD interior point software for linear and quadratic programming
• TRANSOPT  software for transport optimization