29. Numerical Comparison of Conditional Value-at-Risk and Conditional Drawdown-at-Risk Approaches: Application to Hedge Funds. - Pavlo A. Krokhmal; Stan Uryasev; Grigoriy Zrazhevsky (Applications of Stochastic Programming, 2005)

A sample-path approach to optimal position liquidation. - Pavlo A. Krokhmal; Stan Uryasev (Ann. Oper. Res., 2007)

On the number of local minima for the multidimensional assignment problem. - Don A. Grundel; Pavlo A. Krokhmal; Carlos A. S. Oliveira; Panos M. Pardalos (J. Comb. Optim., 2007)

Asymptotic behavior of the expected optimal value of the multidimensional assignment problem. - Pavlo A. Krokhmal; Don A. Grundel; Panos M. Pardalos (Math. Program., 2007)

Random assignment problems. - Pavlo A. Krokhmal; Panos M. Pardalos (Eur. J. Oper. Res., 2009)

Asymptotic Properties of Random Multidimensional Assignment Problem. - Pavlo A. Krokhmal (Encyclopedia of Optimization, 2009)

An algorithm for online detection of temporal changes in operator cognitive state using real-time psychophysiological data. - Jordan Cannon; Pavlo A. Krokhmal; Russell V. Lenth; Robert Murphey (Biomed. Signal Process. Control., 2010)

Risk optimization with p-order conic constraints: A linear programming approach. - Pavlo A. Krokhmal; Policarpio Soberanis (Eur. J. Oper. Res., 2010)

On the Hamming distance in combinatorial optimization problems on hypergraph matchings. - Alla R. Kammerdiner; Pavlo A. Krokhmal; Panos M. Pardalos (Optim. Lett., 2010)

On optimality of a polynomial algorithm for random linear multidimensional assignment problem. - Pavlo A. Krokhmal (Optim. Lett., 2011)

Detection of temporal changes in psychophysiological data using statistical process control methods. - Jordan Cannon; Pavlo A. Krokhmal; Yong Chen; Robert Murphey (Comput. Methods Programs Biomed., 2012)

On p-norm linear discrimination. - Yana Morenko; Alexander Vinel; Zhaohan Yu; Pavlo A. Krokhmal (Eur. J. Oper. Res., 2013)

Editorial. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2013)

On finding k-cliques in k-partite graphs. - Mohammad Mirghorbani; Pavlo A. Krokhmal (Optim. Lett., 2013)

On risk-averse maximum weighted subgraph problems. - Maciej Rysz; Mohammad Mirghorbani; Pavlo A. Krokhmal; Eduardo L. Pasiliao (J. Comb. Optim., 2014)

On Valid Inequalities for Mixed Integer p-Order Cone Programming. - Alexander Vinel; Pavlo A. Krokhmal (J. Optim. Theory Appl., 2014)

Optimization Letters Best Paper Award. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2014)

Polyhedral approximations in p-order cone programming. - Alexander Vinel; Pavlo A. Krokhmal (Optim. Methods Softw., 2014)

On Risk-Averse Weighted k-Club Problems. - Maciej Rysz; Foad Mahdavi Pajouh; Pavlo A. Krokhmal; Eduardo L. Pasiliao (Examining Robustness and Vulnerability of Networked Systems, 2014)

A Scenario Decomposition Algorithm for Stochastic Programming Problems with a Class of Downside Risk Measures. - Maciej Rysz; Alexander Vinel; Pavlo A. Krokhmal; Eduardo L. Pasiliao (INFORMS J. Comput., 2015)

Certainty equivalent measures of risk. - Alexander Vinel; Pavlo A. Krokhmal (Ann. Oper. Res., 2017)

Mixed integer programming with a class of nonlinear convex constraints. - Alexander Vinel; Pavlo A. Krokhmal (Discret. Optim., 2017)

Detecting resilient structures in stochastic networks: A two-stage stochastic optimization approach. - Maciej Rysz; Pavlo A. Krokhmal; Eduardo L. Pasiliao (Networks, 2017)

Optimization Letters Best Paper Award for 2015. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2017)

Identifying risk-averse low-diameter clusters in graphs with stochastic vertex weights. - Maciej Rysz; Foad Mahdavi Pajouh; Pavlo A. Krokhmal; Eduardo L. Pasiliao (Ann. Oper. Res., 2018)

Optimization Letters Best Paper Award for 2016. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2018)

Optimization Letters Best Paper Award for 2017. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2019)

Optimization of Cascading Processes in Arbitrary Networks with Stochastic Interactions. - Juan Sebastian Borrero; Oleg A. Prokopyev; Pavlo A. Krokhmal (IEEE Trans. Netw. Sci. Eng., 2019)

Optimization Letters Best Paper Award for 2018. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2020)

Optimization Letters Best Paper Award for 2019. - Pavlo A. Krokhmal; Oleg A. Prokopyev (Optim. Lett., 2021)

A Scalable Markov Chain Framework for Influence Maximization in Arbitrary Networks. - Juan Sebastian Borrero; Majid Akhgar; Pavlo A. Krokhmal (IEEE Trans. Netw. Sci. Eng., 2021)

Risk-averse optimization and resilient network flows. - Masoud Eshghali; Pavlo A. Krokhmal (Networks, 2023)

Preface: special issue of MOA 2020. - Ya-Feng Liu; Zi Xu; Pavlo A. Krokhmal; Jiming Peng (J. Glob. Optim., 2023)

Asymptotic bounds for clustering problems in random graphs. - Eugene Lykhovyd; Sergiy Butenko; Pavlo A. Krokhmal (Networks, 2024)