A sneeze. Ocean currents. Smoke. What do these have in common? They're instances of turbulence: unpredictable, chaotic, ...

In this paper, a recurrent neural network is proposed using the augmented Lagrangian method for solving linear programming problems. The design of this neural network is based on the ...

Examining the growth of storms using ERA-5 reanalysis data reveals a nonlinear relationship between baroclinicity and storm activity under extreme conditions.

A sneeze. Ocean currents. Smoke. What do these have in common? They're instances of turbulence: unpredictable, chaotic, uneven fluid flows of ...

Polycyclic aromatic hydrocarbons (PAHs) and some of their nitrated derivatives, NPAHs, are seemingly ubiquitous in the atmospheric environment. Atmospheric lifetimes may nevertheless vary within a ...

Lagrangian mechanics implemented 3 ways: manually, with auto-diff, and symbolically.

It begins with a summary of the evolution of classical Lagrangian-Hamiltonian Mechanics followed by a general overview of extension through variational or group theory. The fourth section of this work ...

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere. - slcs-jsc/ ...

This paper presents a method for formation control of marine surface craft inspired by Lagrangian mechanics. The desired formation configuration and response of the marine surface craft are given as a ...