An economical method for random number generation and a normal generator. - István Deák (Computing, 1981)

Uniform random number generators for parallel computers. - István Deák (Parallel Comput., 1990)

Linear regression estimators for multinormal distributions in optimization of stochastic programming problems. - István Deák (Eur. J. Oper. Res., 1998)

Iteration grain sized asynchronous parallel algorithms in optimization. - István Deák (Int. J. Comput. Math., 1999)

Subroutines for Computing Normal Probabilities of Sets - Computer Experiences. - István Deák (Ann. Oper. Res., 2000)

Two-stage stochastic problems with correlated normal variables: computational experiences. - István Deák (Ann. Oper. Res., 2006)

Testing successive regression approximations by large-scale two-stage problems. - István Deák (Ann. Oper. Res., 2011)

Efficiency of Monte Carlo computations in very high dimensional spaces. - István Deák (Central Eur. J. Oper. Res., 2011)

Convex approximations in stochastic programming by semidefinite programming. - István Deák; Imre Pólik; András Prékopa; Tamás Terlaky (Ann. Oper. Res., 2012)

Computational results of an O∗(n4) volume algorithm. - László Lovász 001; István Deák (Eur. J. Oper. Res., 2012)

BrailleRing: The Shortest Long Braille-Display in the World - A Review of the State-of-the-Art and a New Approach. - Wolfgang L. Zagler; Michael Treml; Dominik Busse; Mike Busboom; István Deák (ICCHP (2), 2018)