The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

the DETM is applied to multiagent network with Markov switching topology. A new Lyapunov function is constructed to prove the stability of the MAS. Then the matrix equation and other conditions are ...

In a mesmerising blend of art and mathematics, a research student from University College London (UCL) has recently gained widespread attention for creating intricate images solely through ...

The Gathering's most infamous commanders. It is an incredibly powerful Mardu (red/white/black) commander that is focused on Vampires. If you want to build the best Vampire deck, Edgar Markov is the ...

Abstract: A new form is presented for the transient solution of the matrix Riccati equation associated with the linear optimal regulator and filter problems for time-invariant plants. The solution is ...

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...

X_1 equals the conditional distribution F of X_n assuming only X_(n-1). The transitional densities of a Markov sequence satisfy the Chapman-Kolmogorov equation. --- Markov Chain A Markov chain is ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

The method can be improved in some respects. Inversion theory with different constraints (Laplace, Markov random field, etc.) [33,34] can be derived to adapt to different situations. The inversion ...