Crates.io | math_matrix |
lib.rs | math_matrix |
version | 1.1.0 |
source | src |
created_at | 2023-05-21 18:42:54.704456 |
updated_at | 2023-05-28 18:42:44.866852 |
description | A simple highschool level matrix implementation |
homepage | |
repository | https://github.com/FloatingComet62/math_matrix |
max_upload_size | |
id | 870103 |
size | 43,146 |
items
- Items of the matrix in row by row orderorder
- Order of the matrixuse math_matrix::Matrix;
let matrix = Matrix::new(vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0], (3, 2));
let invalid_matrix = Matrix::new(vec![1.0, 2.0, 3.0], (3, 2));
assert_eq!(matrix.is_ok(), true);
assert_eq!(matrix.unwrap().order, (3, 2));
assert_eq!(invalid_matrix.is_ok(), false);
Using functions to describe the matrix
use math_matrix::Matrix;
// Function generated matrix
// i^2 + 3j - 7
let function_generated = Matrix::generate(|i, j| (i * i + 3 * j) as f64 - 7.0, (5, 5));
// -3 0 3 6 9
// 0 3 6 9 12
// 5 8 11 14 17
// 12 15 18 21 24
// 21 24 27 30 33
assert_eq!(function_generated[(1, 1)], -3.0);
assert_eq!(function_generated[(2, 1)], 0.0);
assert_eq!(function_generated[(3, 3)], 11.0);
assert_eq!(function_generated[(4, 3)], 18.0);
Row matrix
- A matrix with only 1 rowColumn matrix
- A matrix with only 1 columnNull matrix
- A matrix with all zerosSquare matrix
- A matrix with equal number of rows and columnsDiagonal matrix
- A matrix with items only along the diagonalScalar matrix
- A diagonal matrix with only 1 valueIdentity matrix
- A scalar matrix with the value of 1use math_matrix::Matrix;
// Row matrix
let row_matrix = Matrix::row_matrix(vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]);
assert_eq!(row_matrix[(1, 5)], 5.0);
assert_eq!(row_matrix.get(2, 5).is_err(), true);
// Column matrix
let column_matrix = Matrix::column_matrix(vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);
assert_eq!(column_matrix[(3, 1)], 3.0);
assert_eq!(column_matrix.get(3, 5).is_err(), true);
// Null matrix
let null_matrix = Matrix::null_matrix((10, 10));
assert_eq!(null_matrix[(5, 5)], 0.0);
assert_eq!(null_matrix[(10, 10)], 0.0);
assert_eq!(null_matrix[(9, 6)], 0.0);
// Square matrix
let square_matrix = Matrix::square_matrix(vec![1.0, 2.0, 3.0, 4.0]);
let invalid_square_matrix = Matrix::square_matrix(vec![1.0, 2.0, 3.0]);
assert_eq!(square_matrix.unwrap().order, (2, 2));
assert_eq!(invalid_square_matrix.is_ok(), false);
// Diagonal matrix
let diagonal_matrix = Matrix::diagonal_matrix(vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0]);
assert_eq!(diagonal_matrix.order, (8, 8));
assert_eq!(diagonal_matrix[(4, 5)], 0.0);
assert_eq!(diagonal_matrix[(5, 5)], 5.0);
assert_eq!(diagonal_matrix[(7, 8)], 0.0);
/// Scalar matrix
let scalar_matrix = Matrix::scalar_matrix(5.0, 6);
assert_eq!(scalar_matrix.order, (6, 6));
assert_eq!(scalar_matrix[(3, 4)], 0.0);
assert_eq!(scalar_matrix[(5, 5)], 5.0);
assert_eq!(scalar_matrix[(3, 3)], 5.0);
/// Identity matrix
let identity_matrix = Matrix::identity_matrix(5);
assert_eq!(identity_matrix.order, (5, 5));
assert_eq!(identity_matrix[(3, 4)], 0.0);
assert_eq!(identity_matrix[(5, 5)], 1.0);
assert_eq!(identity_matrix[(3, 3)], 1.0);
Traces are the diagonal items of a square matrix
use math_matrix::Matrix;
// Traces
let random_matrix = Matrix::new(vec![6.0, 4.0, 87.0, 3.0, 6.0, 89.0, 6.0, 8.0, 4.0, 2.0, 45.0, 2.0, 5.0, 7.0, 9.0, 9.0], (4, 4)).unwrap();
let trace = random_matrix.trace();
// trace: [ 6, 89, 45, 9 ]
let no_trace_matrix = Matrix::new(vec![6.0, 4.0, 87.0, 3.0, 6.0, 89.0, 6.0, 8.0, 4.0, 2.0, 45.0, 2.0, 5.0, 7.0, 9.0], (5, 3)).unwrap();
let invalid_trace = no_trace_matrix.trace();
assert_eq!(invalid_trace.is_ok(), false);
assert_eq!(trace.is_ok(), true);
let trace = trace.unwrap();
assert_eq!(trace[0], 6.0);
assert_eq!(trace[2], 45.0);
get_row
- Returns nth rowget_column
- Returns nth columnget
- Get the item from the matrixset
- Set the item from the matrixuse math_matrix::Matrix;
let mut matrix = Matrix::new(vec![6.0, 4.0, 87.0, 3.0, 6.0, 89.0, 6.0, 8.0, 4.0, 2.0, 45.0, 2.0, 5.0, 7.0, 9.0], (5, 3)).unwrap();
// 6 4 87
// 3 6 89
// 6 8 4
// 2 45 2
// 5 7 9
assert_eq!(matrix.get_row(1).unwrap(), vec![6.0, 4.0, 87.0]);
assert_eq!(matrix.get_column(1).unwrap(), vec![6.0, 3.0, 6.0, 2.0, 5.0]);
assert_eq!(matrix.get_column(2).unwrap(), vec![4.0, 6.0, 8.0, 45.0, 7.0]);
assert_eq!(matrix.get(3, 2).unwrap(), 8.0);
assert_eq!(matrix.get(5, 1).unwrap(), 5.0);
matrix.set(5, 1, 99.0);
assert_eq!(matrix.get(5, 1).unwrap(), 99.0);