| Phycobilisome mobility and its role in the regulation of light harvesting in red algae R Kaňa, E Kotabová, M Luke¡, Š Papáček, C Matonoha, LN Liu, O Prá¡ il, ... Plant physiology 165 (4), 1618-1631, 2014 | 69 | 2014 |
| Interior‐point method for non‐linear non‐convex optimization L Lukšan, C Matonoha, J Vlček Numerical linear algebra with applications 11 (5‐6), 431-453, 2004 | 46 | 2004 |
| Modified CUTE problems for sparse unconstrained optimization L Lukšan, C Matonoha, J Vlcek Techical Report 1081, 2010 | 40 | 2010 |
| Sparse test problems for unconstrained optimization L Lukšan, C Matonoha, J Vlcek Techical Report 1064, 2010 | 32 | 2010 |
| Interactive system for universal functional optimization (ufo) L Lukšan, M Tuma, J Hartman, J Vlcek, N Ramešová, M Šiška, ... Technická zpráva 923, 2006 | 31 | 2006 |
| On the computation of relaxed pessimistic solutions to MPECs M Červinka, C Matonoha, JV Outrata Optimization Methods and Software 28 (1), 186-206, 2013 | 24 | 2013 |
| Algorithm 896: LSA: Algorithms for large-scale optimization L Lukšan, C Matonoha, J Vlček ACM Transactions on Mathematical Software (TOMS) 36 (3), 1-29, 2009 | 21 | 2009 |
| Primal interior-point method for large sparse minimax optimization L Lukšan, C Matonoha, J Vlcek Technical report, 2005 | 21 | 2005 |
| Interior point methods for large-scale nonlinear programming L Lukšan, C Matonoha, J Vlček Optimization Methods and software 20 (4-5), 569-582, 2005 | 21 | 2005 |
| Estimation of diffusivity of phycobilisomes on thylakoid membrane based on spatio-temporal FRAP images Š Papáček, R Kaňa, C Matonoha Mathematical and Computer Modelling 57 (7-8), 1907-1912, 2013 | 19 | 2013 |
| Modelling and simulation of photosynthetic microorganism growth: random walk vs. finite difference method Š Papáček, C Matonoha, V Štumbauer, D Štys Mathematics and Computers in Simulation 82 (10), 2022-2032, 2012 | 19 | 2012 |
| Problems for nonlinear least squares and nonlinear equations L Lukšan, C Matonoha, J Vlcek Technical report, 2018 | 17 | 2018 |
| On Lagrange multipliers of trust-region subproblems L Lukšan, C Matonoha, J Vlček BIT Numerical Mathematics 48, 763-768, 2008 | 16 | 2008 |
| Trust-region interior-point method for large sparse l 1 optimization L Lukšan, C Matonoha, J Vlček Optimisation Methods and Software 22 (5), 737-753, 2007 | 13 | 2007 |
| A shifted Steihaug-Toint method for computing a trust-region step L Lukšan, C Matonoha, J Vlcek Technická zpráva 914, 2004 | 13 | 2004 |
| A sparse pair-preserving centroid-based supervised learning method for high-dimensional biomedical data or images J Kalina, C Matonoha Biocybernetics and Biomedical Engineering 40 (2), 774-786, 2020 | 11 | 2020 |
| On parameter estimation in an in vitro compartmental model for drug-induced enzyme production in pharmacotherapy J Duintjer Tebbens, C Matonoha, A Matthios, Š Papáček Applications of Mathematics 64 (2), 253-277, 2019 | 11 | 2019 |
| On estimation of diffusion coefficient based on spatio-temporal FRAP images: an inverse ill-posed problem R Kaňa, C Matonoha, Š Papáček, J Soukup Programs and Algorithms of Numerical Mathematics, 100-111, 2013 | 10 | 2013 |
| Band preconditioners for the matrix free truncated Newton method L Lukšan, C Matonoha, J Vlcek Techical Report 1079, 2010 | 9 | 2010 |
| On the connection and equivalence of two methods for solving an ill-posed inverse problem based on FRAP data C Matonoha, Š Papáček Journal of Computational and Applied Mathematics 290, 598-608, 2015 | 8 | 2015 |
