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