Markov_chainsIV_beamer

Markov_chainsIV_beamer - Introductory Engineering...

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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor School of Operations Research and Information Engineering Cornell University Transient Analysis–Number of Visits and Absorption Probabilities 1/ 1
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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Grand Theft Auto NICE City I To get a property you must commit some acts of kindness at that property 2/ 1
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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Grand Theft Auto NICE City I To get a property you must commit some acts of kindness at that property I Your strategy is to work on two properties 2/ 1
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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Grand Theft Auto NICE City I To get a property you must commit some acts of kindness at that property I Your strategy is to work on two properties I You have chosen to randomize slightly: you will work on one property and then move to working on the other property with some fixed probabilities 2/ 1
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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Grand Theft Auto NICE City I To get a property you must commit some acts of kindness at that property I Your strategy is to work on two properties I You have chosen to randomize slightly: you will work on one property and then move to working on the other property with some fixed probabilities I While working on one property, there is the possibility that you will figure out how to complete the task for the other property, complete it and be done 2/ 1
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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Grand Theft Auto NICE City I To get a property you must commit some acts of kindness at that property I Your strategy is to work on two properties I You have chosen to randomize slightly: you will work on one property and then move to working on the other property with some fixed probabilities I While working on one property, there is the possibility that you will figure out how to complete the task for the other property, complete it and be done I Once either task is completed (corresponding to a property), you own the property. ..and it generates revenue 2/ 1
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Introductory Engineering Stochastic Processes, ORIE 361 Instructor: Mark E. Lewis, Associate Professor Grand Theft Auto NICE City I To get a property you must commit some acts of kindness at that property I Your strategy is to work on two properties I You have chosen to randomize slightly: you will work on one property and then move to working on the other property with some fixed probabilities I While working on one property, there is the possibility
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Markov_chainsIV_beamer - Introductory Engineering...

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