Výsledky vyhledávání - Random Linear Code

Generalized Linear Models With Examples in R Autor Dunn, Peter K.

Practical Python AI Projects Mathematical Models of Optimization Problems with Google OR-Tools / Autor Kruk, Serge

Practical Quantum Computing for Developers Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience / Autor Silva, Vladimir

Creep and Hygrothermal Effects in Concrete Structures Autor Bažant, Zdeněk P.

Obsah: “…Part I Fundamentals -- 1 Introduction -- 2 Fundamentals of Linear Viscoelasticity -- 3 Basic Properties of Concrete Creep, Shrinkage and Drying -- 4 Structural Effects of Creep and AAEM -- 5 Numerical Analysis of Creep Problems -- 6 Uncertainty Due to Parameter Randomness -- 7 Paradigms of Application, Phenomena Affecting Creep -- Part II Advanced Topics -- 8 Moisture Transport in Concrete -- 9 Solidification Theory -- 10 Microprestress-Solidification Theory -- 11 Physical and Statistical Justifications of Models B3 and B4 -- 12 Cracking and Fracture Mechanics Aspects -- 13 Temperature Effect -- A Viscoelastic Rheologic Models -- B Historical Note on Old Creep Models -- C Estimates of Parameters Used By RILEM Model B3 -- D Estimates of Parameters Used By RILEM Model B4 -- ECreep Models Recommended by Design Codes -- F Continuous Retardation Spectrum -- G Updating Long-Time Shrinkage Predictions -- H Transport Properties -- I Moisture Transport in Porous Materials -- J Nonstandard Statistics -- K Potentials for Aging Viscoelasticity -- L Method of Measurement of Creep and Shrinkage.…”

Mixed-Effects Regression Models in Linguistics

Statistical Data Analysis Using SAS Intermediate Statistical Methods / Autor Marasinghe, Mervyn G.

Stochastic Partial Differential Equations and Related Fields In Honor of Michael Röckner SPDERF, Bielefeld, Germany, October 10 -14, 2016 /

Obsah: “…Zegarlinski, On Continuous Coding -- H. Osada, Infinite-dimensional Stochastic Differential Equations with Symmetry -- R. …”

Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks / Autor Michelucci, Umberto