This volume presents, for the very first time, an exhaustive collection of those modern numerical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern research in physics, chemistry and material science, belong to this class of systems. Any technique i…
This new edition of Linux for Embedded and Real-Time Applications provides a practical introduction to the basics and the latest developments in this rapidly evolving technology. Ideal for those new to using Linux in an embedded environment, it takes a hands-on approach and covers key concepts plus specific applications. Key features include: + Substantially updated to focus on a specific…
This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which …
No. Inv. : 146130-146131/P/Perp/15/2c
No Inv.: 2775-2783/P/97/9c~310/PSM/99/1c~459/S/00/1c~77598/S/01/1c
Bibliografi : hlm. 191
Bibliografi : hlm. 163 No Inv.: 137522-137526/P/Perp/14/5c