Python/linear_algebra/README.md

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# Linear algebra library for Python
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This module contains classes and functions for doing linear algebra.
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---
## Overview
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### class Vector
-
- This class represents a vector of arbitrary size and related operations.
**Overview of the methods:**
- constructor(components) : init the vector
- set(components) : changes the vector components.
- \_\_str\_\_() : toString method
- component(i): gets the i-th component (0-indexed)
- \_\_len\_\_() : gets the size / length of the vector (number of components)
- euclidean_length() : returns the eulidean length of the vector
- operator + : vector addition
- operator - : vector subtraction
- operator * : scalar multiplication and dot product
- copy() : copies this vector and returns it
- change_component(pos,value) : changes the specified component
- function zero_vector(dimension)
- returns a zero vector of 'dimension'
- function unit_basis_vector(dimension, pos)
- returns a unit basis vector with a one at index 'pos' (0-indexed)
- function axpy(scalar, vector1, vector2)
- computes the axpy operation
- function random_vector(N, a, b)
- returns a random vector of size N, with random integer components between 'a' and 'b' inclusive
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### class Matrix
-
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- This class represents a matrix of arbitrary size and operations on it.
**Overview of the methods:**
- \_\_str\_\_() : returns a string representation
- operator * : implements the matrix vector multiplication
implements the matrix-scalar multiplication.
- change_component(x, y, value) : changes the specified component.
- component(x, y) : returns the specified component.
- width() : returns the width of the matrix
- height() : returns the height of the matrix
- determinant() : returns the determinant of the matrix if it is square
- operator + : implements the matrix-addition.
- operator - : implements the matrix-subtraction
- function square_zero_matrix(N)
- returns a square zero-matrix of dimension NxN
- function random_matrix(W, H, a, b)
- returns a random matrix WxH with integer components between 'a' and 'b' inclusive
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---
## Documentation
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This module uses docstrings to enable the use of Python's in-built `help(...)` function.
For instance, try `help(Vector)`, `help(unit_basis_vector)`, and `help(CLASSNAME.METHODNAME)`.
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---
## Usage
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Import the module `lib.py` from the **src** directory into your project.
Alternatively, you can directly use the Python bytecode file `lib.pyc`.
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---
## Tests
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`src/tests.py` contains Python unit tests which can be run with `python3 -m unittest -v`.