Wydział Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego
Publications
Leszek Plaskota
2018
- Leszek Plaskota, Linear versus nonlinear approximation in the average case setting, in: Contemporary Computational Mathematics - a celebration of the 80th birthday of Ian Sloan, Springer Verlag, 2018, p. 1035–1049.see in PBN
- Bolesław Kacewicz, Leszek Plaskota and Henryk Woźniakowski, O matematyce, złożoności i życiu. Z Henrykiem Woźniakowskim rozmawiają Bolesław Kacewicz i Leszek Plaskota, Wydawnictwa Uniwersytetu Warszawskiego, Warszawa 2018.see in PBN
2014
- Leszek Plaskota and Grzegorz W. Wasilkowski, Efficient algorithms for multivariate and infinite-variate integration with exponential weight, Numerical Algorithms 67 (2) 2014, p. 385–403.see in PBN
- Leszek Plaskota, Continuous problems: optimality, complexity, tractability, in: Computer Algebra in Scientific Computing - CASC 2014, Springer, 2014, p. 357–372.see in PBN
2013
- Leszek Plaskota, Noisy Information: Optimality, Complexity, Tractability, in: Monte Carlo and Quasi-Monte Carlo Methods 2012, Springer-Verlag, Berlin, New York, Dordrecht, London 2013, p. 173–209.see in PBN
- Leszek Plaskota, Grzegorz Wasilkowski and Yaxi Zhao, An adaptive algorithm for weighted approximation of singular functions over R, Siam Journal On Numerical Analysis 51 (3) 2013, p. 1470–1493.see in PBN
2011
- Leszek Plaskota and Grzegorz Wasilkowski, Tractability of infinite-dimensional integration in the worst case and randomized settings, Journal Of Complexity 27 (6) 2011, p. 505–518.see in PBN
- Leszek Plaskota, Thomas Muller-Gronbach and Wolfgang Schmid (eds.), Algorithms and Complexity for Continuous Problems, Dagstuhl 2009, Elsevier, Niemcy 2011.see in PBN
2009
- Leszek Plaskota and G. W. Wasilkowski, Uniform approximation of piecewise r-smooth and globally continuous functions, Siam Journal On Numerical Analysis 47 2009, p. 762–785.see in PBN
- Leszek Plaskota, G. W. Wasilkowski and Y. Zhao, New averaging technique for approximating weighted integrals, Journal Of Complexity 25 (3) 2009, p. 268–291.see in PBN
- Leszek Plaskota and G. Wasilkowski, The power of adaption for functions with singularities, Journal Of Fixed Point Theory And Applications 6 2009, p. 227–248.see in PBN
2005
- Leszek Plaskota, Mark Kon and Andrzej Przybyszewski, Statistical Likelihood Representations of Prior Knowledge in Machine Learning, in: Artificial Intelligence and Applications, Innsbruck 2005.see in PBN
- Leszek Plaskota and Grzegorz Wasilkowski, Adaption allows efficient integration of functions with unknown singularities, Numerische Mathematik 102 2005, p. 123–144.see in PBN
- Leszek Plaskota and Mark Kon, Information-based nonlinear approximation: an average case setting, Journal Of Complexity 21 (2) 2005, p. 211–229.see in PBN
- Leszek Plaskota, Mark Kon and Andrzej Przybyszewski, Machine Learning and Statistical MAP Methods, in: Intelligent Information Systems 2000, 2000.see in PBN
2004
- Leszek Plaskota and G Wasilkowski, Smolyaks algorithm for integration and L_1-approximation of multivariate functions with bounded mixed derivatives of second order, Numerical Algorithms 36 2004, p. 229–246.see in PBN
- Leszek Plaskota, Klaus Ritter and Grzegorz Wasilkowski, Optimal designs for weighted approximation and integration of stochastic processes on R_+, Journal Of Complexity 20 (1) 2004, p. 108–131.see in PBN
- Piotr Gajda, Youming Li, Leszek Plaskota and Grzegorz Wasilkowski, A Monte Carlo algorithm for weighted integration over Rśd, Mathematics Of Computation 73 (246) 2004, p. 813–825.see in PBN
2002
- Leszek Plaskota, K Ritter and G Wasilkowski, A verage case complexity of weighted approximation and integration over R., Journal Of Complexity 18 2002, p. 517–544.see in PBN
- Leszek Plaskota, Klaus Ritter and Grzegorz W. Wasilkowski, Average case complexity of weighted integration and approximation over Rd with isotropic weight., in: Proceedings of MCQMC 2000, Hong Kong 2002.see in PBN
2000
- Leszek Plaskota, The exponent of discrepancy of sparse grids is at least 2.1933., Advances In Computational Mathematics 12 2000, p. 3–24.see in PBN
- Leszek Plaskota and M Kon, Information complexity of neural networks., Neural Networks 13 (3) 2000, p. 365–375.see in PBN
- Leszek Plaskota, Grzegorz Wasilkowski and Henryk Woźniakowski, A new algorithm and worst-case complexity for Feynman-Kac path integration., Journal Of Computational Physics 164 2000, p. 335–353.see in PBN
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