<--- Back to Details
First PageDocument Content
Mathematical analysis / Calculus / Mathematics / Differential operators / Elliptic operator / Partial differential equation / Vector field / Differential equation / Ordinary differential equation / Singular point of an algebraic variety / Pseudo-differential operator
Date: 2012-11-21 10:23:44
Mathematical analysis
Calculus
Mathematics
Differential operators
Elliptic operator
Partial differential equation
Vector field
Differential equation
Ordinary differential equation
Singular point of an algebraic variety
Pseudo-differential operator

Singular Elliptic Partial Differential Equations Daniel Grieser (Carl von Ossietzky Universit¨ at Oldenburg) September 19, 2012

Add to Reading List

Source URL: www.staff.uni-oldenburg.de

Download Document from Source Website

File Size: 177,34 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