# Matrijs 🔢 A small 2D f64 matrix library. There are many like it, but this one is mine. _Note: The example below can be found in `examples/basic.rs`._ ```rust // The matrix! macro allows for quick initialization. // m = | 0.0 1.0 | // |-1.0 0.0 | let mut m = matrix![0.0, 1.0; -1.0, 0.0]; // Scalar math. m += 1.0; m *= -10.0; // You can also create a Matrix manually. let m_expected = Matrix::new(2, 2, &[-10.0, -20.0, 0.0, -10.0]); assert_eq!(m, m_expected); // a = | 0.0 1.0 | // | 2.0 3.0 | // b = | 4.0 5.0 6.0 | // | 7.0 8.0 9.0 | let a = matrix![0.0, 1.0; 2.0, 3.0]; let b = matrix![4.0, 5.0, 6.0; 7.0, 8.0, 9.0]; // The dot product of `i` and `a` should be equal to `a` (idempotence). let i = Matrix::identity(2); assert_eq!(i.dot(&a), a); assert_eq!(a.dot(&b), matrix![7.0, 8.0, 9.0; 29.0, 34.0, 39.0]); // You can append rows and columns to expand what you're working with. let mut ones = Matrix::one(2, 2); ones.append_row(matrix![0.0, 0.0].array()); assert_eq!( ones, matrix![ 1.0, 1.0; 1.0, 1.0; 0.0, 0.0 ] ); // When in doubt, take a look at the shape of the matrix. assert_eq!(ones.shape(), (3, 2)) // 3 rows, 2 columns ``` ## Abilities - Creation - From array: `Matrix::new(3, 2, &[0.0, 1.0, 2.0, 3.0, 4.0, 5.0])` - With value: `Matrix::with_value(3, 16.1)` - Zeros: `Matrix::zero(3)` - Ones: `Matrix::one(3)` - Identity: `Matrix::identity(3)` - Diagonal: `Matrix::diagonal(&[1.0, 3.0, 1.0, 2.0])` - Operations - Transpose - In place: `m.transpose();` - By value: `m.t()` - Scalar operations - Addition, subtraction, multiplication, division: `b = a + 1.0`, `b *= 2` - Matrix-matrix operations - Entry-by-entry addition, subtraction, multiplication, division: `a + b` - Dot product: `a.dot(&b)` ## Implementation The internal data structure is a `Vec` of entries, row after row. That means that this is a _row-major_ implementation. ## Name In Dutch, there is a word _matrijs_ (pronounce _mat-rice_) which has a common ancestor with the word _matrix_. _Matrijs_ refers to molds or stamps, often when laid out in arrays. I like the name for this library, because it contains the 'ij' digraph, which is very similar to the letters _i_ and _j_ as seen in notation for entries in a matrix, such as _aij_.