Optimization of Adams-type difference formulas in Hilbert space W (2,1) 2 (0, 1)

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Keywords:

Hilbert space; initial-value problem; multistep method; the error functional; optimal difference formula.

Abstract

In this paper, we consider the problem of constructing new optimal explicit and implicit Adams-type difference formulas for finding an approximate solution to the Cauchy problem for an ordinary differential equation in a Hilbert space. In this work, I minimize the norm of the error functional of the difference formula with respect to the coefficients, we obtain a system of linear algebraic equations
for the coefficients of the difference formulas. This system of equations is reduced to a system of equations in convolution and the system of equations is completely solved using a discrete analog of a differential operator d2/dx2 − 1. Here we present an algorithm for constructing optimal explicit and implicit difference formulas in a specific Hilbert space. In addition, comparing the Euler method
with optimal explicit and implicit difference formulas, numerical experiments are given. Experiments show that the optimal formulas give a good approximation compared to the Euler method.

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Published

2024-01-10

How to Cite

Kh.M. Shadimetov, & R.S. Karimov. (2024). Optimization of Adams-type difference formulas in Hilbert space W (2,1) 2 (0, 1). Journal of Computational Analysis and Applications (JoCAAA), 32(1), 300–319. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/59

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