Daniele Mortari

According to our database, Daniele Mortari authored at least 35 papers between 2008 and 2023.

Collaborative distances:

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

2023

A Return to the Sextant - Maritime Navigation Using Celestial Bodies and the Horizon.

Joshua J. R. Critchley-Marrows, Daniele Mortari

Sensors, 2023

Analysis of nonlinear Timoshenko-Ehrenfest beam problems with von Kármán nonlinearity using the Theory of Functional Connections.

Christopher Yassopoulos, J. N. Reddy, Daniele Mortari

Math. Comput. Simul., 2023

2022

Theory of functional connections applied to quadratic and nonlinear programming under equality constraints.

Tina Mai, Daniele Mortari

J. Comput. Appl. Math., 2022

2021

High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers.

Daniele Mortari, Anthony Gardner

Sensors, 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

2020

Non-Dimensional Star-Identification.

Carl Leake, David Arnas, Daniele Mortari

Sensors, 2020

Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations.

Carl Leake, Daniele Mortari

Mach. Learn. Knowl. Extr., 2020

Bijective Mapping Analysis to Extend the Theory of Functional Connections to Non-rectangular 2-dimensional Domains.

Daniele Mortari, David Arnas

CoRR, 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

Nonlinear Function Inversion using k-vector.

David Arnas, Daniele Mortari

CoRR, 2020

Random Sampling using k-vector.

David Arnas, Carl Leake, Daniele Mortari

CoRR, 2020

The n-dimensional k-vector and its application to orthogonal range searching.

David Arnas, Carl Leake, 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

The <i>n</i>-dimensional <i>k</i>-vector and its application to orthogonal range searching.

David Arnas, Carl Leake, Daniele Mortari

Appl. Math. Comput., 2020

2019

Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control.

Ahmad Bani Younes, Daniele Mortari

Sensors, 2019

Theoretical Limits of Star Sensor Accuracy.

Marcio A. A. Fialho, Daniele Mortari

Sensors, 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

Random Sampling Using $k$k-Vector.

David Arnas, Carl Leake, Daniele Mortari

Comput. Sci. Eng., 2019

Theory of functional connections applied to nonlinear programming under equality constraints.

Tina Mai, Daniele Mortari

CoRR, 2019

2018

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

Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari

CoRR, 2018

Nonlinear function inversion using <i>k</i>-vector.

David Arnas, Daniele Mortari

Appl. Math. Comput., 2018

2017

Quasi-equal area subdivision algorithm for uniform points on a sphere with application to any geographical data distribution.

Sanghyun Lee, Daniele Mortari

Comput. Geosci., 2017

2016

Analytical approximate solutions to ground track adjustment for responsive space.

Gang Zhang, Xibin Cao, Daniele Mortari

IEEE Trans. Aerosp. Electron. Syst., 2016

Satellite constellation design for telecommunication in Antarctica.

Sanghyun Lee, Yunhe Wu, Daniele Mortari

Int. J. Satell. Commun. Netw., 2016

2015

Analytical Study of Periodic Solutions on Perturbed Equatorial Two-Body Problem.

Elbaz I. Abouelmagd, Daniele Mortari, Hadia H. Selim

Int. J. Bifurc. Chaos, 2015

2014

Design of flower constellations using necklaces.

Daniel Casanova, Martin E. Avendano, Daniele Mortari

IEEE Trans. Aerosp. Electron. Syst., 2014

2012

New Insights on Flower Constellations Theory.

Martin E. Avendano, Daniele Mortari

IEEE Trans. Aerosp. Electron. Syst., 2012

2011

Design of Flower Constellations for Telecommunication Services.

Daniele Mortari, Mauro De Sanctis, Marco Lucente

Proc. IEEE, 2011

2009

Flower Constellation of Millimeter-Wave Radiometers for Tropospheric Monitoring at Pseudogeostationary Scale.

Frank Silvio Marzano, Domenico Cimini, Adelaide Memmo, Mario Montopoli, Tommaso Rossi, Mauro De Sanctis, Marco Lucente, Daniele Mortari, Sabatino Di Michele

IEEE Trans. Geosci. Remote. Sens., 2009

A Survey on Star Identification Algorithms.

Benjamin B. Spratling IV, Daniele Mortari

Algorithms, 2009

2008

Planet or Moon image processing for spacecraft attitude estimation.

Keunjoo Park, Daniele Mortari

J. Electronic Imaging, 2008