Manifold learning techniques and model reduction for dissipative dynamics

Benjamin Sonday; Karthikeyan Rajendran; William Gear; Amit Singer; Yannis Kevrekidis

Manifold learning techniques and model reduction for dissipative dynamics

Benjamin Sonday, Karthikeyan Rajendran, William Gear, Amit Singer, Yannis Kevrekidis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English (US)
Title of host publication	Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting
Publisher	AIChE
Pages	1046-1047
Number of pages	2
ISBN (Print)	9781618397317
State	Published - Jan 1 2011
Event	Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting - Minneapolis, United States Duration: Oct 16 2011 → Oct 21 2011

Publication series

Name	Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting
Volume	2

Other

Other	Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting
Country/Territory	United States
City	Minneapolis
Period	10/16/11 → 10/21/11

All Science Journal Classification (ASJC) codes

Chemical Health and Safety
Safety, Risk, Reliability and Quality
Safety Research

Cite this

Sonday, B., Rajendran, K., Gear, W., Singer, A., & Kevrekidis, Y. (2011). Manifold learning techniques and model reduction for dissipative dynamics. In Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting (pp. 1046-1047). (Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting; Vol. 2). AIChE.

Sonday, Benjamin ; Rajendran, Karthikeyan ; Gear, William et al. / Manifold learning techniques and model reduction for dissipative dynamics. Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting. AIChE, 2011. pp. 1046-1047 (Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting).

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author = "Benjamin Sonday and Karthikeyan Rajendran and William Gear and Amit Singer and Yannis Kevrekidis",

year = "2011",

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isbn = "9781618397317",

series = "Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting",

publisher = "AIChE",

pages = "1046--1047",

booktitle = "Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting",

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Sonday, B, Rajendran, K, Gear, W, Singer, A & Kevrekidis, Y 2011, Manifold learning techniques and model reduction for dissipative dynamics. in Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting. Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting, vol. 2, AIChE, pp. 1046-1047, Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting, Minneapolis, United States, 10/16/11.

Manifold learning techniques and model reduction for dissipative dynamics. / Sonday, Benjamin; Rajendran, Karthikeyan; Gear, William et al.
Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting. AIChE, 2011. p. 1046-1047 (Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Manifold learning techniques and model reduction for dissipative dynamics

AU - Sonday, Benjamin

AU - Rajendran, Karthikeyan

AU - Gear, William

AU - Singer, Amit

AU - Kevrekidis, Yannis

PY - 2011/1/1

Y1 - 2011/1/1

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M3 - Conference contribution

AN - SCOPUS:85054550497

SN - 9781618397317

T3 - Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting

SP - 1046

EP - 1047

BT - Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting

PB - AIChE

T2 - Computing and Systems Technology Division - Core Programming Topic at the 2011 AIChE Annual Meeting

Y2 - 16 October 2011 through 21 October 2011

ER -

Manifold learning techniques and model reduction for dissipative dynamics

Publication series

Other

All Science Journal Classification (ASJC) codes

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