Publications

Leszek Plaskota

Number of publications: 39

2023

• Leszek Plaskota , In the search for all zeros of smooth functions, Journal of Applied and Numerical Analysis, 1 2023, p. 72-79. See in PBN
• Leszek Plaskota , Paweł Przybyłowicz, Łukasz Stępień, Monte Carlo integration of $C^{r}$ functions with adaptive variance reduction: an asymptotic analysis, BIT Numerical Mathematics, 63 (2) 2023, p. 32: 1-24. See in PBN
• Leszek Plaskota , Paweł Siedlecki , Worst case tractability of linear problems in the presence of noise: Linear information, Journal of Complexity, 79 2023, p. 101782: 1-20. See in PBN

2022

• Leszek Plaskota , Paweł Samoraj, Automatic approximation using asymptotically optimal adaptive interpolation, Numerical Algorithms, 89 (1) 2022, p. 277-302. See in PBN

2020

• Leszek Plaskota , Paweł Siedlecki , Henryk Woźniakowski , Absolute value information for IBC problems, Journal of Complexity, 56 2020, p. 101427:1-101427:11. See in PBN
• Leszek Plaskota , Paweł Morkisz, Complexity of approximating Hölder classes from information with varying Gaussian noise, Journal of Complexity, 60 2020, p. 101497. See in PBN
• P. Kritzer, F. Pillichshammer, G.W. Wasilkowski, Leszek Plaskota , On alternative quantization for doubly weighted approximation and integration over unbounded domains, Journal of Approximation Theory, 256 2020, p. 105433. See in PBN
• P. Kritzer, F. Pillichshammer, G. W. Wasilkowski, Leszek Plaskota , On efficient weighted integration via a change of variables, Numerische Mathematik, 146 (3) 2020, p. 545-570. See in PBN

2018

• Bolesław Kacewicz, Leszek Plaskota , Henryk Woźniakowski , O matematyce, złożoności i życiu. Z Henrykiem Woźniakowskim rozmawiają Bolesław Kacewicz i Leszek Plaskota, 2018. See in PBN

2017

• Frances Y. Kuo, Dirk Nuyens, Leszek Plaskota , Ian H. Sloan, Grzegorz W. Wasilkowski, Infinite-dimensional integration and the multivariate decomposition method, Journal of Computational and Applied Mathematics, 326 2017, p. 217-234. See in PBN

2016

• Paweł Morkisz, Leszek Plaskota , Approximation of piecewice Holder functions from inexact information, Journal of Complexity, 32 2016, p. 122-136. See in PBN
• Frances, Y. Kuo, Leszek Plaskota , Grzegorz, W. Wasilkowski, Optimal algorithms for doubly weighted approximation of univarate function, Journal of Approximation Theory, 2016. See in PBN

2015

• Leszek Plaskota , Automatic integration using asymptotically optimal adaptive Simpson quadrature, Numerische Mathematik, 131 2015, p. 173-198. See in PBN

2014

• Leszek Plaskota , Continuous problems: optimality, complexity, tractability, The 16th International Workshop on Computer Algebra in Scientific Computing, Warszawa, Poland, 8 September 2014 - 12 September 2014. See in PBN
• Leszek Plaskota , Grzegorz W. Wasilkowski, Efficient algorithms for multivariate and infinite-variate integration with exponential weight, Numerical Algorithms, 2014. See in PBN

2013

• Leszek Plaskota , Grzegorz Wasilkowski, 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
• Leszek Plaskota , Noisy Information: Optimality, Complexity, Tractability, The 10th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Sydney, Australia, 13 February 2012 - 17 February 2012. See in PBN

2012

• Leszek Plaskota , Henryk Woźniakowski , Monte Carlo and Quasi-Monte Carlo 2010, 2012. See in PBN

2011

• Thomas Muller-Gronbach, Leszek Plaskota , Wolfgang Schmid, Algorithms and Complexity for Continuous Problems, Dagstuhl 2009, 2011. See in PBN
• Leszek Plaskota , Grzegorz Wasilkowski, Tractability of infinite-dimensional integration in the worst case and randomized settings, Journal of Complexity, 2011. See in PBN

2009

• Leszek Plaskota , G. W. Wasilkowski, Y. Zhao, New averaging technique for approximating weighted integrals, Journal of Complexity, 2009. See in PBN
• Leszek Plaskota , G. Wasilkowski, The power of adaption for functions with singularities, Journal of Fixed Point Theory and Applications, 2009. See in PBN
• Leszek Plaskota , G. W. Wasilkowski, Uniform approximation of piecewise r-smooth and globally continuous functions, SIAM Journal on Numerical Analysis, 2009. See in PBN

2008

• Leszek Plaskota , Grzegorz Wasilkowski, Yaxi Zhao, The power of adaption for approximating functions with singularities, Mathematics of Computation, 2008. See in PBN

2006

• Piotr Krzyżanowski, Leszek Plaskota , Metody numeryczne, 2006. See in PBN

2005

• Leszek Plaskota , Grzegorz Wasilkowski, Adaption allows efficient integration of functions with unknown singularities, Numerische Mathematik, 2005. See in PBN
• Mark Kon, Leszek Plaskota , Information-based nonlinear approximation: an average case setting, Journal of Complexity, 2005. See in PBN
• Mark Kon, Leszek Plaskota , Andrzej Przybyszewski, Statistical Likelihood Representations of Prior Knowledge in Machine Learning, 2005. See in PBN

2004

• Piotr Gajda, Youming Li, Leszek Plaskota , Grzegorz Wasilkowski, A Monte Carlo algorithm for weighted integration over Rśd, Mathematics of Computation, 2004. See in PBN
• Leszek Plaskota , Klaus Ritter, Grzegorz Wasilkowski, Optimal designs for weighted approximation and integration of stochastic processes on R_+, Journal of Complexity, 2004. See in PBN
• Leszek Plaskota , G Wasilkowski, Smolyaks algorithm for integration and L_1-approximation of multivariate functions with bounded mixed derivatives of second order, Numerical Algorithms, 2004. See in PBN

2002

• Leszek Plaskota , K Ritter, G Wasilkowski, A verage case complexity of weighted approximation and integration over R., Journal of Complexity, 2002. See in PBN
• Leszek Plaskota , Klaus Ritter, Grzegorz W. Wasilkowski, Average case complexity of weighted integration and approximation over Rd with isotropic weight., 2002. See in PBN

2001

• Mark Kon, Leszek Plaskota , Complexity of neural network approximation with limited information: a worst case approach., Journal of Complexity, 2001. See in PBN

2000

• Leszek Plaskota , Grzegorz Wasilkowski, Henryk Woźniakowski , A new algorithm and worst-case complexity for Feynman-Kac path integration., Journal of Computational Physics, 2000. See in PBN
• M Kon, Leszek Plaskota , Information complexity of neural networks., Neural Networks, 2000. See in PBN
• Mark Kon, Leszek Plaskota , Andrzej Przybyszewski, Machine Learning and Statistical MAP Methods, 2000. See in PBN
• Leszek Plaskota , The exponent of discrepancy of sparse grids is at least 2.1933., Advances in Computational Mathematics, 2000. See in PBN

Others

• Leszek Plaskota , On linear versus nonlinear approximation in the average case setting, Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan, , p. 1035-1049. See in PBN