Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Network-structured error flattening ...
~
Ponce, Colin Vincent.
Linked to FindBook
Google Book
Amazon
博客來
Network-structured error flattening for power grids and other real-world networks.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Network-structured error flattening for power grids and other real-world networks./
Author:
Ponce, Colin Vincent.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:
168 p.
Notes:
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Contained By:
Dissertation Abstracts International78-04B(E).
Subject:
Computer science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10183851
ISBN:
9781369319729
Network-structured error flattening for power grids and other real-world networks.
Ponce, Colin Vincent.
Network-structured error flattening for power grids and other real-world networks.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 168 p.
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Thesis (Ph.D.)--Cornell University, 2016.
From power grids to social networks to neuroscience, networks are increasingly important in science today. They are, however, inherently hard to study. On one hand, phenomena beginning in one part of a network can have complex and global effects on the rest of the network, and so behavior is frequently difficult to predict without simulations. On the other hand, modern networks are often massive, containing hundreds of millions or even billions of nodes. Due to this, network computations often require specialized algorithms that exploit network structure to perform their tasks efficiently.
ISBN: 9781369319729Subjects--Topical Terms:
523869
Computer science.
Network-structured error flattening for power grids and other real-world networks.
LDR
:02113nmm a2200313 4500
001
2122517
005
20170922124923.5
008
180830s2016 ||||||||||||||||| ||eng d
020
$a
9781369319729
035
$a
(MiAaPQ)AAI10183851
035
$a
AAI10183851
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Ponce, Colin Vincent.
$3
3284489
245
1 0
$a
Network-structured error flattening for power grids and other real-world networks.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2016
300
$a
168 p.
500
$a
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
502
$a
Thesis (Ph.D.)--Cornell University, 2016.
520
$a
From power grids to social networks to neuroscience, networks are increasingly important in science today. They are, however, inherently hard to study. On one hand, phenomena beginning in one part of a network can have complex and global effects on the rest of the network, and so behavior is frequently difficult to predict without simulations. On the other hand, modern networks are often massive, containing hundreds of millions or even billions of nodes. Due to this, network computations often require specialized algorithms that exploit network structure to perform their tasks efficiently.
520
$a
In this work, we study matrix-based network computations and the relationship between network structure and linear algorithms. Out algorithms use either low rank upates or coarse grid projections to transform the problem into a smaller one that is exactly or approximately equivalent to the original. We refer to these techniques as error flattening methods.
520
$a
We present three examples: a method for fast detection and identification of power grid topology errors; a nonlinear multigrid method to solve the power flow equations; and a two-part iterative method to solve graph Laplacian systems.
590
$a
School code: 0058.
650
4
$a
Computer science.
$3
523869
650
4
$a
Electrical engineering.
$3
649834
650
4
$a
Applied mathematics.
$3
2122814
690
$a
0984
690
$a
0544
690
$a
0364
710
2
$a
Cornell University.
$b
Computer Science.
$3
2092437
773
0
$t
Dissertation Abstracts International
$g
78-04B(E).
790
$a
0058
791
$a
Ph.D.
792
$a
2016
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10183851
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9333133
電子資源
01.外借(書)_YB
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login