Algorithms for numerical methods : 1.GRAPHICAL APPROACH, 2.BISECTION METHOD, 3.FALSE POSITION METHOD, 4.SIMPLE FIXED ITERATION, 5.NEWTON-RAPSHSON METHOD, 6.SECANT ...
In addition to numerous matrix-multiplication routines, PROC MIXED frequently uses the sweep operator (Goodnight 1979) and the Cholesky root (Golub and Van Loan 1989). The routines perform a modified ...
Abstract: In machine learning and statistics, the penalized regression methods are the main tools for variable selection (or feature selection) in high-dimensional sparse data analysis. Due to the ...
Abstract: In this paper a new method of maximum power point tracking (MPPT) strategy based on Newton-Raphson algorithm is presented for photovoltaic (PV) power systems, which makes a high efficiency ...
My research projects in the area of nonlinear systems deal with finding dc operating points, steady state, and transient responses of electronic circuits. These are essential tasks in electrical ...
Many economically important characteristics of agricultural crops are measured as ordinal traits. Statistical analysis of the genetic basis of ordinal traits appears to be quite different from regular ...
Implementations of Grid Search and Newton-Raphson methods for numerical optimization. It includes Python scripts to compare their performance in maximizing mathematical functions ...
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