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A Branching Process for Convergent Product Optimization
Research in Economics and Management
View Archive Info| Field | Value | |
| Title |
A Branching Process for Convergent Product Optimization
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| Creator |
Aghasi, Ermia
Momeni, Mansour Shah Hoseini, Mohammad Ali |
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| Description |
We consider a discrete time branching process where the population consists of k types of convergent products, an action is chosen for that which affects the lifetime, the number and types of its functions, and the profit received. The problem of maximizing the expected profit is shown to be equivalent to a generalized Markov decision problem of maximizing the expected profit is shown to be equivalent to a generalized Markov decision problem where the transition matrices are non-negative but not necessarily sub stochastic.
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| Publisher |
SCHOLINK INC.
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| Contributor |
—
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| Date |
2017-07-18
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://www.scholink.org/ojs/index.php/rem/article/view/1013
10.22158/rem.v2n4p1 |
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| Source |
Research in Economics and Management; Vol 2, No 4 (2017); p1
2470-4393 2470-4407 |
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| Language |
eng
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| Relation |
http://www.scholink.org/ojs/index.php/rem/article/view/1013/1160
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| Rights |
Copyright (c) 2017 Ermia Aghasi, Mansour Momeni, Mohammad Ali Shah Hoseini
http://creativecommons.org/licenses/by/4.0 |
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