James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm ... All the control logic is in the Main() ...

A procedure is developed which (i) transforms the original constrained problem into an unconstrained one, and (ii) applies a Newton's method exploiting the analytic Hessian of the GRP objective ...

Abstract: This letter presents a reduced complexity method ... graphs. Multiroom indoor environments can be represented in a vector signal flow graph with rooms in the complex structure as nodes and ...

Abstract: In this paper, a novel single image super-resolution (SR) method based on progressive-iterative approximation is proposed. To preserve textures and clear edges, the image SR reconstruction ...

The middle value of all realized prices for an artist's works sold at auction during a given period, providing a clearer representation of typical market values by minimizing the influence of extreme ...

imperial.ac.uk Background Plan–do–study–act (PDSA) cycles provide a structure for iterative testing of changes to improve quality of systems. The method is widely accepted in healthcare improvement; ...

This repository contains Python implementations of common unconstrained optimization algorithms: Steepest Descent and Newton's Method, along with several variants. The algorithms are tested on ...

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.