Quantum Acceleration For Frontier AI: Does It Cut The Cost Of Training?

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
Frontiers

Research on intelligent fracturing parameter optimization method based on deep learning and construction curve feature extraction

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...
IEEE

Convergence Analysis of EXTRA in Non-Convex Distributed Optimization

Abstract: Optimization problems involving the minimization of a finite sum of smooth, possibly non-convex functions arise in numerous applications. To achieve a consensus solution over a network, ...
JSTOR Daily

Using adjoint-based optimization to enhance ignition in non-premixed jets

This is a preview. Log in through your library . Abstract Gradient-based optimization is used to reliably and optimally induce ignition in three examples of laminar non-premixed mixture configurations ...
IEEE

Non-Convex Optimization Problems for Maximum Hands-Off Control

Abstract: Maximum hands-off control is the optimal solution to the $L^{0}$ optimal control problem. While convex approximation is typically used to relax this problem ...
Scientific Research Publishing

A Comparative Study of Optimization Techniques on the Rosenbrock Function ()

1 Department of Mathematics, University of Ndjamena, Ndjamena, Tchad. 2 Department of Mathematics and Computer Science, University of Cheikh. A. Diop, Dakar, Senegal. In the evolving landscape of ...
GitHub

non-convex-optimization

Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
GitHub

nonconvex-optimization

Simulation code for "Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink" by Le-Nam Tran, Muhammad Fainan Hanif, Antti Tolli, Markku Juntti, IEEE Signal Processing ...