For decades, the Golden State Killer avoided capture despite leaving DNA at multiple crime scenes. Traditional databases failed, fingerprints led nowhere, and the case went cold. Everything changed ...
This paper presents a new three-term hybrid conjugate gradient projection method for handling large-scale convex-constrained nonlinear monotone equations that are prevalent in fields such as ...
Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm ...
Efficient Shift-and-Invert Preconditioning for Multi-GPU Accelerated Density Functional Calculations
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Quantum computing is an emerging field that has had a significant impact on optimization. Among the diverse quantum algorithms, quantum gradient descent has become a prominent technique for solving ...
Abstract: The conjugate-gradient method (CGM) is a traditional approach to solve the inverse scattering problem (ISP). This method requires the solution of both the forward problem and the calculation ...
where and for, are random matrices and vectors. When, stochastic generalized linear complementarity problems reduce to the classic Stochastic Linear Complementarity Problems (SLCP), which has been ...
In this paper, three new hybrid nonlinear conjugate gradient methods are presented, which produce suf?cient descent search direction at every iteration. This property is independent of any line search ...
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