IEEE

Two Modified Newton-Raphson Iteration Algorithms for Yang-Baxter-like Matrix Equation with Step-Size Analyses

Abstract: This paper mainly proposes two Modified Newton-Raphson iterated (MNRI) algorithms to solve the Yang-Baxter-like equation indirectly and directly, respectively. Deriving from the zero finding ...
Visual Studio Magazine

Matrix Inverse Using Newton Iteration with C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...
Simon Fraser University

NLPNRA Call

See "Nonlinear Optimization and Related Subroutines" for a listing of all NLP subroutines. See Chapter 11, "Nonlinear Optimization Examples," for a description of the inputs to and outputs of all NLP ...
Visual Studio Magazine

Matrix Inverse Using Newton Iteration with C#

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...
IEEE

Solution of nonlinear equations by continuous- and discrete-time Zhang dynamics and more importantly their links to Newton iteration

Abstract: Different from gradient-based dynamics (GD), a special class of neural dynamics has been found, developed, generalized and investigated by Zhang et al, e.g., for online solution of ...
GitHub

Exact out-of-core Cox proportional hazards regression via streaming Newton-Raphson.

Standard CoxPH solvers (lifelines, scikit-survival, R survival) load the full cohort into memory before fitting, so on registry-scale data they exhaust RAM long before the computation is hard.