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Network Coding for Function Computation
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Network Coding for Function Computation. |
| 개인저자 | Tripathy, Ardhendu Shekhar. |
| 단체저자명 | Iowa State University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Iowa State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 120 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438077157 |
| 학위논문주기 | Thesis (Ph.D.)--Iowa State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Aditya Ramamoorthy. |
| 요약 | Many applications such as parallel processing, distributed data analytics and sensor networks often need to compute functions of data that are observed in a distributed manner over a network. A network can be modeled as a directed graph, each ve |
| 요약 | In the first part of this thesis, we assume that the message random variables are independent and uniformly distributed over a finite field. The demand function is set to be the finite field sum of all the messages observed in the network. A val |
| 요약 | In the second part of the thesis, we focus on a particular directed acyclic network that has four nodes and four edges. It is the simplest instance of a network that does not have a tree structure. Three of the nodes are sources that observe ind |
| 일반주제명 | Electrical engineering. Information science. Mathematics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
