Numerical-Analysis

Tasks and reports for numerical analysis course

All method implemented by Python 3.6

Code is free for using

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Numerical methods, that implemented in labs

laboratory work №1

Task - find the root, existing on the segment by using

• simple iteration method
• bisection method
• simple Newton method

laboratory work №2

Task - find the root, by using

• method of chords
• Aitken method
• Stephenson method

laboratory work №3

Task - determine segment, where positive and negative roots exists and find them using

• Bernoulli method
• Lobachevsky method

laboratory work №4 - 5

Task - sovle the system consists of two nonlinear equations by using

• Newton method
• iteration method

laboratory work №6

Task - interpolate function by usnig

• straigth Newton interpolation
• inverse Newton interpolation

laboratory work №7

Task - interpolate function using

• Lagrange interpolation polynomial
• Aitken's scheme

laboratory work №8

Task - approximate function by

• parabolic spline

laboratory work №9

Task - approximate function by

• least-squere method (linear, quadratic, exponential and ect.)

laboratory work №10

Task - numerical integration by using

• Chebyshev integration
• Simpson integration
• trapeze integration
• rectangle integration