Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
In January I wrote a piece titled “ 5 Physics Equations Everyone Should Know .” Lots of you weighed in with your own ...
Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...
The quantum many body problem has been at the heart of much of theoretical and experimental physics over the past few decades ...
Abstract: In this paper, we present a new control policy parametrization for the finite-horizon covariance steering problem for discrete-time Gaussian linear systems (DTGLS) via which we can reduce ...
Abstract: Kalman filter (KF) is highly valued in engineering for its simplicity, small storage, and real-time processing. However, KF is optimal for linear filters and not as effective for nonlinear ...
We propose a novel score-based generative model for graphs that overcomes the limitation of previous generative methods, by introducing a diffusion process for graphs that can generate node features ...
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