matlab gradient-descent convex-hull-algorithms newtons-method linear-optimization laplacian-matrix steepest-descent hessian-matrix Updated on Dec 23, 2022 MATLAB ...

In this study, we introduce the exact Zoeppritz gradient-based global optimization (EZGBO) method, which integrates an accurate gradient and the Hessian matrix under a Bayesian framework with a ...

To address this, this paper proposes an improved RIFT algorithm based on pre-screening acceleration: First, a fast feature point pre-screening mechanism using Hessian matrix is designed to rapidly ...

In this work, we address this gap by introducing H-Sets (Hessian Sets), a principled framework for discovering and attributing higher-order feature interactions in image classifiers. Our method ...

The estimated covariance matrix of the parameter estimates is computed as the inverse Hessian matrix, and for unconstrained problems it should be positive definite. If the final parameter estimates ...