BACKWARD, FORWARD AND BACKWARD-FORWARD DYNAMIC PROGRAMMING MODELS UNDER COMMUTATIVITY CONDITIONS.

Sergio Verdu; H. Vincent Poor

doi:10.1109/cdc.1984.272179

BACKWARD, FORWARD AND BACKWARD-FORWARD DYNAMIC PROGRAMMING MODELS UNDER COMMUTATIVITY CONDITIONS.

Sergio Verdu
, H. Vincent Poor

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

Several authors have proposed abstract dynamic programming models encompassing a wide variety of sequential optimization problems. The abstract operator model for finite-horizon backward and forward problems is presented. Several sufficient conditions are shown to ensure the validity of the dynamic programming iteration. The formulation and analysis of the abstract backward-forward operator model are presented, along with its application to minimum probability-of-error detection in a general setting.

Original language	English (US)
Pages (from-to)	1081-1086
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/cdc.1984.272179
State	Published - 1984

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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10.1109/cdc.1984.272179

Cite this

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title = "BACKWARD, FORWARD AND BACKWARD-FORWARD DYNAMIC PROGRAMMING MODELS UNDER COMMUTATIVITY CONDITIONS.",

abstract = "Several authors have proposed abstract dynamic programming models encompassing a wide variety of sequential optimization problems. The abstract operator model for finite-horizon backward and forward problems is presented. Several sufficient conditions are shown to ensure the validity of the dynamic programming iteration. The formulation and analysis of the abstract backward-forward operator model are presented, along with its application to minimum probability-of-error detection in a general setting.",

author = "Sergio Verdu and Poor, \{H. Vincent\}",

year = "1984",

doi = "10.1109/cdc.1984.272179",

language = "English (US)",

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journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

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AU - Verdu, Sergio

AU - Poor, H. Vincent

PY - 1984

Y1 - 1984

N2 - Several authors have proposed abstract dynamic programming models encompassing a wide variety of sequential optimization problems. The abstract operator model for finite-horizon backward and forward problems is presented. Several sufficient conditions are shown to ensure the validity of the dynamic programming iteration. The formulation and analysis of the abstract backward-forward operator model are presented, along with its application to minimum probability-of-error detection in a general setting.

AB - Several authors have proposed abstract dynamic programming models encompassing a wide variety of sequential optimization problems. The abstract operator model for finite-horizon backward and forward problems is presented. Several sufficient conditions are shown to ensure the validity of the dynamic programming iteration. The formulation and analysis of the abstract backward-forward operator model are presented, along with its application to minimum probability-of-error detection in a general setting.

UR - https://www.scopus.com/pages/publications/0021641943

UR - https://www.scopus.com/pages/publications/0021641943#tab=citedBy

U2 - 10.1109/cdc.1984.272179

DO - 10.1109/cdc.1984.272179

M3 - Conference article

AN - SCOPUS:0021641943

SN - 0191-2216

SP - 1081

EP - 1086

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

ER -

BACKWARD, FORWARD AND BACKWARD-FORWARD DYNAMIC PROGRAMMING MODELS UNDER COMMUTATIVITY CONDITIONS.

Abstract

All Science Journal Classification (ASJC) codes

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