Profiles in Operations Research pp 31-43 | Cite as

# Steven Vajda

Chapter

First Online:

## Abstract

Known as the British father of linear programming (LP), Steven Vajda was a mathematician, educator, mentor, one of mathematical programming’s true pioneers, and the person who introduced linear programming to both Europe and Asia. He was a fellow of the Royal Statistical Society, was awarded an honorary doctorate degree from Brunel University (West London), and was promoted Honorary Doctor of Philosophy by the University of Budapest.

### References

- Bather J (1995) An interview with Steven Vajda. OR Newsletter January, 25–29Google Scholar
- Conolly B (1992) Editorial. Special issue on mathematical methods in honour of Steven Vajda. J Oper Res Soc 43(8):737–739CrossRefGoogle Scholar
- Conolly B, Vajda S (1995) A mathematical kaleidoscope. Albion Publishing, ChichesterGoogle Scholar
- Courant R, Robbins H (1941) What is mathematics? Oxford University Press, OxfordGoogle Scholar
- Dantzig G (1949) Programming of interdependent activities, II, mathematical model. Econometrica 17(3–4):200–211CrossRefGoogle Scholar
- Dantzig G (1951) Maximization of a linear function of variables subject to linear inequalities. In: Koopmans T (ed) Activity analysis of production and allocation, Cowles Commission Monograph No. 13. Wiley, New York, NYGoogle Scholar
- Jalal G, Krarup J (2003) Geometrical solution to the Fermat problem with arbitrary weights. Ann Oper Res 123:67–104CrossRefGoogle Scholar
- Haley K, Williams H (1998) The work of Professor Steven Vajda. J Oper Res Soc 49(3):298–301CrossRefGoogle Scholar
- Krarup J (1996) Obituary: Steven Vajda 1901–1995. OPTIMA 49:12Google Scholar
- Krarup J (1998) On a “Complementary Problem” of Courant and Robbins. Location Sci 6:337–354CrossRefGoogle Scholar
- Krarup J, Vajda S (1997) On Torricelli’s geometrical solution to a problem of Fermat. IMA J Math Appl Bus Ind 8(3):215–224Google Scholar
- Koopmans T (ed) (1951) Activity analysis of production and allocation. Cowles Commission Monograph No. 13. Wiley, New York, NYGoogle Scholar
- Kuhn H (1976) Nonlinear programming: a historical view. SIAM-AMS Proc 9:1–26Google Scholar
- Powell S (1997) Kantorovich’s hidden duality. IMA J Math Appl Bus Ind 8(3):195–201Google Scholar
- Powell S, Williams H (eds) (1997) Special issue: duality in practice, dedicated to the work of Steven Vajda. IMA J Math Appl Bus Ind 8(3)Google Scholar
- Rand G (1979) Mathematics of manpower planning (book review). J Oper Res Soc 30(8):767–768CrossRefGoogle Scholar
- Seal H (1945) The mathematics of a population composed of
*k*stationary strata each recruited from the stratum below and supported at the lowest level by a uniform annual number of entrants. Biometrica 33:226–230Google Scholar - Shutler M (1995) Companion of operational research. J Oper Res Soc 46:918CrossRefGoogle Scholar
- Shutler M (1997) The life of Steven Vajda. IMA J Math Appl Bus Ind 8(3):193–194Google Scholar
- Vajda S (1947) The stratified semi-stationary population. Biometrika 34(3/4):243–254CrossRefGoogle Scholar
- Vajda S (1956) The theory of games and linear programming. Methuen, London (Translated into French, German, Japanese and Russian)Google Scholar
- Vajda S (1958) Readings in linear programming. Pitman, London (Translated into French and German)Google Scholar
- Vajda S (1961) Mathematical programming. Addison-Wesley, New York, NYGoogle Scholar
- Vajda S (1962) Readings in mathematical programming (Second edition of Vajda, 1958). Pitman, LondonGoogle Scholar
- Vajda S (1975) Mathematical aspects of manpower planning. OR Q 26(3):527–542Google Scholar
- Vajda S (1978) Mathematics of manpower planning. Wiley, ChichesterGoogle Scholar
- Vajda S (1984) Actuarial mathematics. In: van der Ploeg F (ed) Mathematical methods in economics. Wiley, Chichester, pp 457–476Google Scholar
- Williams H (1997) Integer programming and pricing revisited. IMA J Math Appl Bus Ind 8(3):203–213Google Scholar

## Copyright information

© Springer Science+Business Media, LLC 2011