<--- Back to Details
First PageDocument Content
Mathematics / Geometry / Algebra / Lattice points / Analytic geometry / Lattice / Finite element method / Partial differential equation / Sinc function / Interpolation / Leech lattice / Lattice QCD
Date: 2005-01-05 11:57:29
Mathematics
Geometry
Algebra
Lattice points
Analytic geometry
Lattice
Finite element method
Partial differential equation
Sinc function
Interpolation
Leech lattice
Lattice QCD

Smooth Pycnophylactic Interpolation for Geographical Regions1 Waldo R. Tobler2 ABSTRACT: Census enumerations are usually packaged in irregularly shaped geographical regions. Interior values can be interpolated for such r

Add to Reading List

Source URL: www.geog.ucsb.edu

Download Document from Source Website

File Size: 455,99 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