Roberto R Deza's Books

Introduction To Stochastic Processes And Nonequilibrium Statistical Physics, An (Revised Edition)

By: Horacio Sergio Wio,Roberto R Deza,Juan M Lopez

Write a review Read reviews Take a Quiz Solve Book Puzzle

Introduction To Stochastic Processes And Nonequilibrium Statistical Physics, An (Revised Edition)

By: Horacio Sergio Wio,Roberto R Deza,Juan M Lopez

This book aims to provide a compact and unified introduction to the most important aspects in the physics of non-equilibrium systems. It first introduces stochastic processes and some modern tools and concepts that have proved their usefulness to deal with non-equilibrium systems from a purely probabilistic angle. The aim is to show the important role played by fluctuations in far-from-equilibrium situations, where noise can promote order and organization, switching among non-equilibrium states, etc. The second part adopts a more historical perspective, retracing the first steps taken from the purely thermodynamic as well as from the kinetic points of view to depart (albeit slightly) from equilibrium. The third part revisits the path outlined in the first one, but now undertakes the mesoscopic description of extended systems, where new phenomena (patterns, long-range correlations, scaling far from equilibrium, etc.) are observed.This book is a revised and extended version of an earlier edition published in 1994. It includes topics of current research interest in far-from-equilibrium situations like noise-induced phenomena and free energy-like functionals, surface growth and roughening, etc. It can be used as an advanced textbook by graduate students in physics. It also covers topics of current interest in other disciplines and interdisciplinary approaches in engineering, biophysics, and economics, among others. The level of detail in the book is enough to capture the interest of the reader and facilitate the path to more learning by exploring the modern research literature provided. At the same time, the book is also complete enough to be self-contained for those readers who just need an overview of the subject.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

319

Publisher

World Scientific Publishing Company

Published Date

ISBN 10

9814434639

ISBN 13

9789814434638

Handbook of Bibliometric Indicators

Quantitative Tools for Studying and Evaluating Research

By: Roberto Todeschini,Alberto Baccini

Write a review Read reviews Take a Quiz Solve Book Puzzle

Handbook of Bibliometric Indicators

Quantitative Tools for Studying and Evaluating Research

By: Roberto Todeschini,Alberto Baccini

At last, the first systematic guide to the growing jungle of citation indices and other bibliometric indicators. Written with the aim of providing a complete and unbiased overview of all available statistical measures for scientific productivity, the core of this reference is an alphabetical dictionary of indices and other algorithms used to evaluate the importance and impact of researchers and their institutions. In 150 major articles, the authors describe all indices in strictly mathematical terms without passing judgement on their relative merit. From widely used measures, such as the journal impact factor or the h-index, to highly specialized indices, all indicators currently in use in the sciences and humanities are described, and their application explained. The introductory section and the appendix contain a wealth of valuable supporting information on data sources, tools and techniques for bibliometric and scientometric analysis - for individual researchers as well as their funders and publishers.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

512

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527681949

ISBN 13

9783527681945

Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions

By: Roberto Corlito,Nico Schick

Write a review Read reviews Take a Quiz Solve Book Puzzle

Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions

By: Roberto Corlito,Nico Schick

About 3700 people die in traffic accidents every day. Human error is the number one cause of accidents. Autonomous driving can greatly reduce the occurrence of traffic accidents. To release self-driving cars for road traffic, the system including software must be validated and tested efficiently. However, due to their criticality, the amount of data corresponding to safety-critical driving scenarios are limited. These driving scenes can be expressed as a time series. They represent the corresponding movement of the vehicle, including time vector, position coordinates, speed and acceleration. Such data can be provided on different ways. For example, in the form of a kinematic model. Alternatively, artificial intelligence or machine learning methods can be used. They have been widely used in the development of autonomous vehicles. For example, generative algorithms can be used to generate such safety-critical driving data. However, the validation of generative algorithms is a challenge in general. In most cases, their quality is assessed by means of expert knowledge (qualitative). In order to achieve a higher degree of automation, a quantitative validation approach is necessary. Generative algorithms are based on probability distributions or probability density functions. Accordingly, similarity measures can be used to evaluate generative algorithms. In this publication, such similarity measures are described and compared on the basis of defined evaluation criteria. With respect to the use case mentioned, a recommended similarity measure is implemented and validated for an example of a typical safety-critical driving scenario.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

Publisher

Cuvillier Verlag

Published Date

ISBN 10

3736964544

ISBN 13

9783736964549

Book's by Roberto R Deza

Introduction To Stochastic Processes And Nonequilibrium Statistical Physics, An (Revised Edition)

Introduction To Stochastic Processes And Nonequilibrium Statistical Physics, An (Revised Edition)

Handbook of Bibliometric Indicators

Handbook of Bibliometric Indicators

Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions

Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions

Username

Password

Username

Password

Password again

Birthday

Email