The nature of optimization problem challenges in physical synthesis

Ismail Bustany; Igor Markov; Martin Wong

doi:10.1109/ACC.2013.6580787

The nature of optimization problem challenges in physical synthesis

Ismail Bustany
, Igor Markov
, Martin Wong

Office of the Provost

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

This tutorial session presented the nature of the optimization problem challenges in physical synthesis. These are large-scale and highly complex nonlinear, discrete optimization problems. They offer the controls and numerical optimization communities a rich template for research into scalable and highly efficient algorithm.

Original language	English
Title of host publication	2013 American Control Conference
Publisher	IEEE
Pages	6057-6059
Number of pages	3
ISBN (Electronic)	9781479901784, 9781479901753 (CD)
ISBN (Print)	9781479901777
DOIs	https://doi.org/10.1109/ACC.2013.6580787
Publication status	Published - Jun 2013
Event	2013 American Control Conference - Washington, DC, United States Duration: 17 Jun 2013 → 19 Jun 2013 https://ieeexplore.ieee.org/xpl/conhome/6573242/proceeding

Publication series

Name	Proceedings of American Control Conference

Conference

Conference	2013 American Control Conference
Country/Territory	United States
City	Washington, DC
Period	17/06/13 → 19/06/13
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6573242/proceeding

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10.1109/ACC.2013.6580787

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@inproceedings{c40eb406ffdf46549882a6a90406fc27,

title = "The nature of optimization problem challenges in physical synthesis",

abstract = "This tutorial session presented the nature of the optimization problem challenges in physical synthesis. These are large-scale and highly complex nonlinear, discrete optimization problems. They offer the controls and numerical optimization communities a rich template for research into scalable and highly efficient algorithm.",

author = "Ismail Bustany and Igor Markov and Martin Wong",

year = "2013",

month = jun,

doi = "10.1109/ACC.2013.6580787",

language = "English",

isbn = "9781479901777",

series = "Proceedings of American Control Conference",

publisher = "IEEE",

pages = "6057--6059",

booktitle = "2013 American Control Conference",

address = "United States",

note = "2013 American Control Conference ; Conference date: 17-06-2013 Through 19-06-2013",

url = "https://ieeexplore.ieee.org/xpl/conhome/6573242/proceeding",

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AU - Markov, Igor

AU - Wong, Martin

PY - 2013/6

Y1 - 2013/6

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AB - This tutorial session presented the nature of the optimization problem challenges in physical synthesis. These are large-scale and highly complex nonlinear, discrete optimization problems. They offer the controls and numerical optimization communities a rich template for research into scalable and highly efficient algorithm.

U2 - 10.1109/ACC.2013.6580787

DO - 10.1109/ACC.2013.6580787

M3 - Conference proceeding

SN - 9781479901777

T3 - Proceedings of American Control Conference

SP - 6057

EP - 6059

BT - 2013 American Control Conference

PB - IEEE

T2 - 2013 American Control Conference

Y2 - 17 June 2013 through 19 June 2013

ER -

The nature of optimization problem challenges in physical synthesis

Abstract

Publication series

Conference

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Cite this