Nature

Conjugate Gradient Methods in Unconstrained Optimization

Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...
IEEE

Robust Recursive Least-Squares Algorithm with the Conjugate Gradient and the Data Reuse Approach

Abstract: This paper presents a recursive least-squares (RLS) adaptive algorithm for acoustic echo cancellation (AEC) based on the conjugate gradient (CG) line search method. The RLSCG method is ...
Simon Fraser University

Optimization Algorithms

There are several optimization techniques available in PROC NLMIXED. You can choose a particular optimizer with the TECH=name option in the PROC NLMIXED statement. No algorithm for optimizing general ...
IEEE

Hybrid PRP-FR Conjugate Gradient Algorithm Based Direct Method Model For DFMT

Abstract: Dynamic Fluorescence Molecular Tomography (DFMT) is a rapidly developing imaging technology that can noninvasively and quantitatively identify the three-dimensional distribution of ...