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About Tutorial 6 Solution
The document provides the solutions to 4 problems involving numerical analysis techniques: 1) Using Newton-Raphson iteration to solve a system of nonlinear equations, finding the roots to be x=1.3721 and y=0.2395. 2) Performing polynomial regression to determine the best fit for Bessel function values and calculating r^2 errors, estimating J1(2.1) as 0.5680 using a second order polynomial. 3) Applying linear regression to experimental bacterial growth rate data to estimate the maximum growth rate (kmax) and saturation constant (cs), and predict the growth rate at an oxygen concentration of 2 mg/L. 4) Solving an eigenvalue
Detailed Information
| Author: | ['CK'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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