New Quasi-Newton Method for Solving Systems of Nonlinear Equations
LUKŠAN, Ladislav, VLČEK, Jan. <em>New Quasi-Newton Method for Solving Systems of Nonlinear Equations</em>. Prague: ICS CAS, 2016. Technical Report, V-1233.
LUKŠAN, Ladislav, VLČEK, Jan. <em>New Quasi-Newton Method for Solving Systems of Nonlinear Equations</em>. Prague: ICS CAS, 2016. Technical Report, V-1233.
STRAUCH, O., PORUBSKÝ, Štefan. <em>Distribution of Sequences: A Sampler (Electronic Revised Version December 8, 2016)</em>. Wien: BOKU, 2016.
TURČIČOVÁ, Marie, MANDEL, Jan, EBEN, Kryštof. <em>Maximum Likelihood Estimation of a Diagonal Covariance Matrix</em>. Prague: ICS CAS, 2016. Technical Report, V-1228.
DRABINOVÁ, Adéla, MARTINKOVÁ, Patrícia, ZVÁRA, K. <em>difNLR: Detection of Dichotomous Differential Item Functioning (DIF) by Non-Linear Regression Function</em> [software]. Ústav informatiky AV ČR, v. v. i., 2016. Dostupné z: https://cran.rstudio.com/web/packages/difNLR/
ŠÍMA, Jiří, SAVICKÝ, Petr. <em>Cut Languages in Rational Bases</em>. Prague: ICS CAS, 2016. Technical Report, V-1236.
ROHN, Jiří. <em>Interval Matrices: Regularity Yields Singularity</em>. Prague: ICS CAS, 2016. Technical Report, V-1239.
KALINA, Jan. Principy mnohorozměrného statistického uvažování. In: KUPKA, K., ed. <em>Analýza dat 2016 - sborník přednášek</em>. Pardubice: TriloByte, Pardubice, 2016, S. 69-78. ISSN 1805-6903.
WIEDERMANN, Jiří. <em>Discerning Two Words by a Minimum Size Automaton</em>. Prague: ICS CAS, 2016. Technical Report, V-1230.
SUZUKI, Tomoyuki. <em>On Nominal Automata as Models of Java-like Object-Oriented Programs</em>. Prague: ICS CAS, 2016. Technical Report, V-1243.
MARTINKOVÁ, Patrícia, GOLDHABER, D. <em>Improving Teacher Selection: The Effect of Inter-Rater Reliability in the Screening Process</em>. Seattle: CEDR University of Washington Bothell, 2015. CEDR Working Paper, WP #2015‐7.
HAKL, František. <em>Probabilistic learning model PAC - lecture notes</em>. Prague: ICS CAS, 2015. Technical Report, V-1227.
DOSTÁL, Matěj. <em>Přednáška: Sebeodkazování je faul, ale v matematice někdy potřebný</em> Praha: Technet.cz, 2015. Dostupné z: https://www.idnes.cz/technet/veda/prednaska-sebeodkazovani-je-faul-ale-v-matematice-nekdy-potrebny.A151104_064502_veda_nyv