Abstract: Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be solved in a variety of ways. However, hardware circuits that can perform the efficient analog ...

Abstract: Often in applications like medical imaging, error correction, and sensor networks, one needs to solve large-scale linear systems in which a fraction of the ...

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, ...

Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?

Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

For centuries, astronomers have puzzled over the origins of one of the universe's oldest and densest stellar systems, known as globular clusters. Now, a University of Surrey-led study published in ...

This repository is an implementation of the NeurIPS 2024 paper: IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs. Constrained Nonlinear Programs (NLPs) represent a ...

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