1.

Record Nr.

UNISA990003304890203316

Autore

MAROLLI, Giorgio

Titolo

Dizionario tecnico inglese-italiano italiano-inglese : technical dictionary english-italian and italian-english / Giorgio Marolli

Pubbl/distr/stampa

Firenze : Le Monnier, 1968

Edizione

[9 ed. riveduta e ampliata]

Descrizione fisica

XXII, 1841 p. : tav. ; 23 cm

Collana

Dizionari Le Monnier

Disciplina

603

Soggetti

Scienze applicate-Dizionari inglesi

Collocazione

603 MAR

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Con 40 tavole sciolte in cartelle



2.

Record Nr.

UNINA9910437905403321

Autore

Zio Enrico

Titolo

The Monte Carlo simulation method for system reliability and risk analysis / / by Enrico Zio

Pubbl/distr/stampa

London, : Springer, 2012

ISBN

9781283911016

1283911019

9781447145882

1447145887

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (203 p.)

Collana

Springer series in reliability engineering

Disciplina

620.00452015118

Soggetti

Monte Carlo method

Reliability (Engineering) - Simulation methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

1.Introduction -- 2.System Reliability and Risk Analysis -- 3.Monte Carlo Simulation- the Method -- 4.System Reliability and Risk Analysis by Monte Carlo Simulation -- 5.Practical Applications of Monte Carlo Simulation for System Reliability Analysis -- 6.Advanced Mont Carlo Simulation Techniques for System Failure Probability Estimation -- 7.Practical Applications of Advanced Monte Carlo Simulation Techniques for System Techniques for System Failure Probability Estimation.

Sommario/riassunto

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling.   Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced



to provide the practical value of the most advanced techniques.   This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations.