Create a MATLAB code that solves roots of non-linear equations using False-Position Method. The code should have the following features: 1. Nonlinear function can be declared directly on the MLX file 2. Accepts 2 initial limits of interval (bracketing values xu and xl) and the error tolerance 3. Check if the initial limits of the interval has opposing function values. 4. Check if the initial limits of the interval are roots of the inputted function. 5. Displays the iteration table. (For more information, watch the Week 3 Sync Session recording ). 6. Gives the following output values: approximate root, percent approximate relative error, number of iterations required to meet the condition (percent approximate relative error < error 7. Gives a non-convergence message when the condition (percent approximate relative error < error tolerance) is not met after 150 iterations.
Create a MATLAB code that solves roots of non-linear equations using False-Position Method. The code should have the following features: 1. Nonlinear function can be declared directly on the MLX file 2. Accepts 2 initial limits of interval (bracketing values xu and xl) and the error tolerance 3. Check if the initial limits of the interval has opposing function values. 4. Check if the initial limits of the interval are roots of the inputted function. 5. Displays the iteration table. (For more information, watch the Week 3 Sync Session recording ). 6. Gives the following output values: approximate root, percent approximate relative error, number of iterations required to meet the condition (percent approximate relative error < error 7. Gives a non-convergence message when the condition (percent approximate relative error < error tolerance) is not met after 150 iterations.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Create a MATLAB code that solves roots of non-linear equations using False-Position Method. The code should have the following features:
1. Nonlinear function can be declared directly on the MLX file
2. Accepts 2 initial limits of interval (bracketing values xu and xl) and the error tolerance
3. Check if the initial limits of the interval has opposing function values.
4. Check if the initial limits of the interval are roots of the inputted function.
5. Displays the iteration table. (For more information, watch the Week 3 Sync Session recording ).
6. Gives the following output values:
approximate root, percent approximate relative error, number of iterations required to meet the condition (percent approximate relative error < error
7. Gives a non-convergence message when the condition (percent approximate relative error < error tolerance) is not met after 150 iterations.
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