Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Abstract: We study the data-driven finite-horizon linear quadratic regularization (LQR) problem reformulated as a semidefinite program (SDP). Our contribution is to propose two novel accelerated first ...
Fox Weather reported out of Tallahassee that Florida officials unleashed a group of eastern indigo snakes into the wild in an effort to recover local populations of the species. These non-venomous ...
MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...
Tech firms are offering millions for AI pros amid the Silicon Valley talent wars. Excel, however, is still the top tech skill in job listings. Excel, released in 1985, remains crucial for managing ...
This repository contains a prototype implementation of the variational quantum linear solver [1,2] that allows to solve linear systems, $A\times x = b$, using ...
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