Hunter Johnston

According to our database, Hunter Johnston authored at least 10 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Least-squares solutions of boundary-value problems in hybrid systems.

Hunter Johnston, Daniele Mortari

J. Comput. Appl. Math., 2021

Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.

Enrico Schiassi, Roberto Furfaro, Carl Leake, Mario De Florio, Hunter Johnston, Daniele Mortari

Neurocomputing, 2021

The Theory of Functional Connections: A journey from theory to application.

Hunter Johnston

CoRR, 2021

2020

The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations.

Carl Leake, Hunter Johnston, Daniele Mortari

CoRR, 2020

Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.

Enrico Schiassi, Carl Leake, Mario De Florio, Hunter Johnston, Roberto Furfaro, Daniele Mortari

CoRR, 2020

Least-squares Solutions of Eighth-order Boundary Value Problems using the Theory of Functional Connections.

Hunter Johnston, Carl Leake, Daniele Mortari

CoRR, 2020

Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections.

Hunter Johnston, Enrico Schiassi, Roberto Furfaro, Daniele Mortari

CoRR, 2020

2019

Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections.

Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari

Mach. Learn. Knowl. Extr., 2019

High accuracy least-squares solutions of nonlinear differential equations.

Daniele Mortari, Hunter Johnston, Lidia Smith

J. Comput. Appl. Math., 2019

2018

Theory of Connections Applied to Support Vector Machines to Solve Differential Equations.

Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari

CoRR, 2018