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Download the slides from Session 4. Introduction to Markov chains

download the slides from Session 4A. Long-term behavior of strings de Markov

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entry in this blog present a concentrate of the notes and course notes. We will update this article as you add new material.

1. Session 1. Deterministic dynamic programming
   


2. Session 2. Probabilistic dynamic programming


3. Session 3. Line theory waiting Note: This file is subject to updating.


4. 3A is sion. Models of births and deaths


5. Session 4. Introduction to Markov Chains


6. Session 4A. Long-term behavior of Markov chains
   

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Notes blog cites the Course Content

The material on this blog can be used without profit. Quoting the blog is appreciated when using material contained herein.

The following is a quote from this entry from the blog on the Chicago Style , as it should look if the query had been made on the day of writing this post.

Chance of Journal Editors, "Quote this blog" in Probabilistic Models, http://problma12007.blogspot.com/2007/02/cita-este-blog.html (accessed March 19 2007).

(The text is highlighted blog Probabilistic Models )

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Here in general the issues seen in the course

topics and subtopics

1. Dynamic programming
   
   
   2. basic structure of state and decision variables
   Objective function
   4. discrete deterministic dynamic programming Dynamic programming
   discrete probability
   6. Illustrative
   
   
2. queuing theory
   
   
   1. basic structure of a queuing system prototype examples
   3. Classification systems waiting line
   4. Formulas for descriptive parameters of the system
   Poisson models other than Poisson models
   7. Consideration of economic aspects
   8. cost functions / expected
   9. Assessment transfer time
   
   
3. Markov chains
   
   
   1. Introduction and terminology translation probabilities
   initial probability vector
   4. fundamental equations
   5. long-term properties
   6. Times
   absorbent States
   8. Markov decision processes and their applications
   
   
4. Decision Analysis
   
   
   1. Introduction Classification and terminology
   3. models not tested decision making
   4. Trees
   decision
   5. The value of test information
   
   
5. 
   
   Inventory Model Lot
   1. Economic Order (LEO) model
   2. economic lot size
   3. production inventory model with planned shortages Volume discounts
   5. inventory model of a single-period demand
   6. probabilistic model order quantity reorder point
   7. periodic review model with probabilistic demand
   
   
6. simulation on queuing theory
   

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All material on this blog including, but not limited to, text, examples, data, images and notes are provided at no cost and "as is". The blog editors do their best within their means, to maintain the content on a general level that is appropriate for the course for which you planned, but deny any warranty, express or implied, with respect to the accuracy, completeness and completeness of the information contained herein.

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Sessions 1 to 4

here Download Power Point presentations for Sessions 1 to 3:

Session 1. Deterministic dynamic programming
Session 2. Probabilistic dynamic programming
Session 3. Waiting line theory Note: This file is subject to updating.

mission is 3-A. Models of births and deaths

Session 4. Introduction to Markov Chains

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Welcome

This is the blog for the course of Probabilistic Models in Computer Systems Engineering at the University Bonaterra, AC

Although we are using the institutional platform for the distribution of material electronically, this page will also make available some of the documents used in the course.

Welcome, to continue succeeding in the course.