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Network Reliability|Ilya Gertsbakh

Network Reliability : A Lecture Course

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Overview

1. Probability and Statistics: a short reminder.

Basic laws of probability.

Discrete and Continuous random variables.

Density function. Cumulative distribution function.

Expected value of random variable. Variance, standard deviation.

Population. Random Sample. Sample mean, Variance of the sample mean.

Point estimation. Unbiased Estimator.

2. The concept of network.

General description. Network topology.

Different criteria for performance of Networks.

Reliability indices.

3. Network Static and Dynamic Reliability.

Definitions of static and dynamic Network Reliability

Reliability straightforward computation. Examples.

Minimal Path-set and Cut-set methods. Examples.

Structure function and Network Reliability. Examples.

Burtin-Pittel approximation to Network Reliability. Examples.

4. Monte Carlo method for evaluating network reliability.

Basic Monte Carlo notions.

Pseudocode for network reliability evaluation by CMC. Examples.

Why CMC is not sufficient for all cases?

5. Lomonosov's "Turnip" for Network Reliability evaluation.

In which cases the approach most applicable?

The idea of the turnip. Example.

Network reliability evaluation by turnip.

Pseudocode for the appropriate algorithm.

6. Destruction and Construction spectrum and Network Reliability.

In which cases the approach most applicable?

The idea of the method.

Examples for some criterions.

Pseudocode for network reliability evaluation using spectra.

7. Importance Measure and spectrum.

What is Birnbaum Importance Measure?

Examples of straightforward computation of BIM.

BIM-spectrum. Examples.

Computation of BIM by BIM-spectrum. Examples.

Pseudocode of BIM evaluation.

8. Appendix sintax, convolution

​

This item is Non-Returnable

Details

  • ISBN-13: 9789811514579
  • ISBN-10: 9811514577
  • Publisher: Springer
  • Publish Date: January 2020
  • Dimensions: 9.21 x 6.14 x 0.21 inches
  • Shipping Weight: 0.34 pounds
  • Page Count: 90

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