<--- Back to Details
First PageDocument Content
Mathematical analysis / Mathematics / Calculus / Ordinary differential equations / Asymptotic analysis / Multivariable calculus / Partial differential equation / Lyapunov stability / Stability theory / Perturbation theory / Equation / Mathieu function
Mathematical analysis
Mathematics
Calculus
Ordinary differential equations
Asymptotic analysis
Multivariable calculus
Partial differential equation
Lyapunov stability
Stability theory
Perturbation theory
Equation
Mathieu function

Special Sessions Special Session 1: Qualitative Studies of PDEs: Entire Solutions and Asymptotic Behavior Peter Polacik, University of Minnesota, USA Eiji Yanagida, Tokyo Institute of Technology, Japan The aim of this se

Add to Reading List

Source URL: www.aimsciences.org

Download Document from Source Website

File Size: 827,13 KB

Share Document on Facebook

Similar Documents

MathQuest: Differential Equations Introduction to Partial Differential Equations 1. Which of the following functions satisfies the equation x ∂f + y ∂f = f? ∂x

MathQuest: Differential Equations Introduction to Partial Differential Equations 1. Which of the following functions satisfies the equation x ∂f + y ∂f = f? ∂x

DocID: 1vb7j - View Document

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

DocID: 1uYik - View Document

Deep Reinforcement Learning for Partial Differential Equation Control Amir-massoud Farahmand, Saleh Nabi, Daniel N. Nikovski Abstract— This paper develops a data-driven method for control of partial differential equati

Deep Reinforcement Learning for Partial Differential Equation Control Amir-massoud Farahmand, Saleh Nabi, Daniel N. Nikovski Abstract— This paper develops a data-driven method for control of partial differential equati

DocID: 1uLR0 - View Document

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Deep Reinforcement Learning for Partial Differential Equation Control Farahmand, A.-M.; Nabi, S.; Nikovski, D.N.

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Deep Reinforcement Learning for Partial Differential Equation Control Farahmand, A.-M.; Nabi, S.; Nikovski, D.N.

DocID: 1untp - View Document

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

DocID: 1ujg3 - View Document