Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Edward Ott

Showing results (71-80 of 135) with videos related to

Pageof 14
Sort By:
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 5, 2009
Scattering a pulse from a chaotic cavity: transitioning from algebraic to exponential decayJames A Hart, Thomas M Antonsen, Edward Ott
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 21, 2005
Onset of synchronization in large networks of coupled oscillatorsJuan G Restrepo, Edward Ott, Brian R Hunt
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 17, 2011
Quantum chaos of a mixed open system of kicked cold atomsYevgeny Krivolapov, Shmuel Fishman, Edward Ott, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2003
Pattern formation in a monolayer of magnetic spheresJustin Stambaugh, Daniel P Lathrop, Edward Ott, et al.
Chaos (Woodbury, N.Y.)|March 2, 2020
Separation of chaotic signals by reservoir computingSanjukta Krishnagopal, Michelle Girvan, Edward Ott, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 3, 2004
Dynamical origin for the occurrence of asynchronous hyperchaos and chaos via blowout bifurcationsSang-Yoon Kim, Woochang Lim, Edward Ott, et al.
Chaos (Woodbury, N.Y.)|April 8, 2010
The stability of adaptive synchronization of chaotic systemsFrancesco Sorrentino, Gilad Barlev, Adam B Cohen, et al.
Chaos (Woodbury, N.Y.)|July 3, 2020
Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamicsYang Tang, Jürgen Kurths, Wei Lin, et al.
Physical Review Letters|January 30, 2018
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing ApproachJaideep Pathak, Brian Hunt, Michelle Girvan, et al.
Chaos (Woodbury, N.Y.)|April 3, 2021
Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticityDhruvit Patel, Daniel Canaday, Michelle Girvan, et al.
Pageof 14

Showing results (71-80 of 135) with videos related to

Sort By:
Pageof 14
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 5, 2009
Scattering a pulse from a chaotic cavity: transitioning from algebraic to exponential decayJames A Hart, Thomas M Antonsen, Edward Ott
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 21, 2005
Onset of synchronization in large networks of coupled oscillatorsJuan G Restrepo, Edward Ott, Brian R Hunt
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 17, 2011
Quantum chaos of a mixed open system of kicked cold atomsYevgeny Krivolapov, Shmuel Fishman, Edward Ott, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2003
Pattern formation in a monolayer of magnetic spheresJustin Stambaugh, Daniel P Lathrop, Edward Ott, et al.
Chaos (Woodbury, N.Y.)|March 2, 2020
Separation of chaotic signals by reservoir computingSanjukta Krishnagopal, Michelle Girvan, Edward Ott, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 3, 2004
Dynamical origin for the occurrence of asynchronous hyperchaos and chaos via blowout bifurcationsSang-Yoon Kim, Woochang Lim, Edward Ott, et al.
Chaos (Woodbury, N.Y.)|April 8, 2010
The stability of adaptive synchronization of chaotic systemsFrancesco Sorrentino, Gilad Barlev, Adam B Cohen, et al.
Chaos (Woodbury, N.Y.)|July 3, 2020
Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamicsYang Tang, Jürgen Kurths, Wei Lin, et al.
Physical Review Letters|January 30, 2018
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing ApproachJaideep Pathak, Brian Hunt, Michelle Girvan, et al.
Chaos (Woodbury, N.Y.)|April 3, 2021
Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticityDhruvit Patel, Daniel Canaday, Michelle Girvan, et al.
Pageof 14