Andrzej P. Ruszczyński | |
Nationality: | American |
Fields: | Mathematical optimization |
Workplaces: | Warsaw University of Technology 1974-1991, University of Zurich 1984-86, Princeton University 1992, International Institute for Applied Systems Analysis 1992-96, University of Wisconsin-Madison 1996-97, Rutgers University 1997- --> |
Alma Mater: | Politechnika Warszawska, Warsaw, Poland |
Doctoral Advisor: | Jacek Szymanowski |
Awards: | Dantzig Prize (2018) |
Andrzej Piotr Ruszczyński (born July 29, 1951) is a Polish-American applied mathematician, noted for his contributions to mathematical optimization, in particular, stochastic programming and risk-averse optimization.
Ruszczyński was born and educated in Poland. In 1969 he won the XX Polish Mathematical Olympiad.[1] After graduating in 1974 with a master's degree from the Department of Electronics,Warsaw University of Technology, he joined the Institute of Automatic Control at this school. In 1977 he received his PhD degree for a dissertation on the control of large-scale systems, and in 1983 Habilitation, for a dissertation on nonlinear stochastic programming.[2] In 1992 the President of Poland, Lech Wałęsa, awarded Ruszczyński the state title of Professor. In 1984-86 Ruszczyński was a visiting scholar at the Institute for Operations Research, University of Zurich. In 1986-87 he was the vice-director of the Institute of Automatic Control, and in 1987-1990 he was the Vice-Dean of the Department of Electronics, Warsaw University of Technology.[3] In 1992 Ruszczyński was a visiting professor at the Department of Operations Research, Princeton University, in 1992-96 he led the project Optimization under Uncertainty at the International Institute for Applied Systems Analysis, in 1996-97 he was a visiting professor at the Department of Industrial Engineering, University of Wisconsin-Madison, and since 1997 he has been with Rutgers University, where he holds a position of the Board of Governors Professor at the Rutgers Business School.[4] [5]
Ruszczyński developed decomposition methods for stochastic programming problems, the theory of stochastic dominance constraints (jointly with Darinka Dentcheva), contributed to the theory of coherent, conditional, and dynamic risk measures (jointly with Alexander Shapiro), and created the theory of Markov risk measures.[6] [7] [8] [9] [10] He authored five books and more than 100 research papers.[11]
He was elected to the 2017 class of Fellows of the Institute for Operations Research and the Management Sciences. In 2018 Ruszczyński (jointly with A. Shapiro) received the Dantzig Prize[12] [13] of the Society for Industrial and Applied Mathematics and the Mathematical Optimization Society.[14]
Under the name Piotr, Ruszczyński is known as an author of chess problems holding the title of International Master of Chess Composition of FIDE[15] (since 1988). 30 his problems of all genres were selected to FIDE Albums by the Permanent Commission of the FIDE for Chess Compositions.
To the left is one of early Ruszczyński's problems.[16] The key 1. Qa6! gives the black king three flight squares and threatens 2. Qxb5#. Black's defenses are followed by seven different battery mates: 1 ... Kb4 2. Sc6#, 1 ... Kc5 2. Sxb5#, 1 ... Kd3 2. Sc2#, 1 ... Qe8 2. Se6#, 1 ... Qxf5 2. Sxf5#, 1 ... Qxe2 2. Sxe2#, 1 ... Qf3+ 2. Sxf3#.
To the right is one of Ruszczyński's best-known threemovers.[17] The key is 1.Qf6! with the threat 2. fxg3+ Kxe1 3. Bd2#. In the two main variations, black Grimshaw interference on the square c3 is exploited with anticipatory shut-offsfrom a white half battery. After 1. ... Bc3 white plays 2. Nc2! (threatening 3. Bd2#), and then2. ... Bxf6 3. Be3# (using the anticipatory shutoff on c2),2. ... Bxb2 3. Bxb2#, and2. ... Be1 3. Ne3#.After 1. ... Rc3 white plays 2. Bd2! (threatening 3. Nc2#), and then2. ... Rf3 3. Nd3# (using the anticipatory shutoff on d2),2. ... Re3 3. fxe3#, and2. ... Rc1 3. fxg3#.
With Jan Rusinek, Ruszczyński co-authored the book:Book: 64 Polish Chess Compositions. Polski Związek Szachowy. Warszawa. 1989.