Numerical analysis algorithms
Error theory: floating point systems, relative and absolute errors, significant digits, conditioning and stability.
Nonlinear equations: Fixed point, Newton-Raphson, Secant and bisection.
Nonlinear systems: Generalized Newton method.
Linear systems: Jacobi, Gauss-Seidel and SOR methods.
Function approximation: Polynomial interpolation (Newton and Lagrange). Linear and cubic splines. Least squares method.
Numerical integration: Mid point, Trapezoidal, Simpson and Gauss-Legendre with two and three nodes.
Ordinary differential equations (one equation or a system of equations): Euler, Taylor of order 2. Implicit Euler method. Runge-Kutta methods of order 2 (Heun and Midpoint), and Runge-Kutta of order 4.
Boundary value problems: finite difference method.
© Isabel Reis dos Santos, IST Ulisboa, 2024
Metadata
Release files for numalg 1.0.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| numalg-1.0.6.tar.gz | 21.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numalg-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.8 kB
Release files / numalg-1.0.6.tar.gz
| Download URL | numalg-1.0.6.tar.gz |
|---|---|
| Size | 21.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.12.3
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Release files / numalg-1.0.6-py3-none-any.whl
| Download URL | numalg-1.0.6-py3-none-any.whl |
|---|---|
| Size | 39.6 kB |
| Tags | Python 3 |
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twine/6.0.1 CPython/3.12.3
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