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use std::ops::Mul;
use crate::general::{Field, MultiplicativeGroup, MultiplicativeMonoid};
use crate::linear::FiniteDimVectorSpace;
/// The space of all matrices.
pub trait Matrix:
Sized + Clone + Mul<<Self as Matrix>::Row, Output = <Self as Matrix>::Column>
{
/// The underlying field.
type Field: Field;
/// The type of rows of this matrix.
type Row: FiniteDimVectorSpace<Field = Self::Field>;
/// The type of columns of this matrix.
type Column: FiniteDimVectorSpace<Field = Self::Field>;
/// The type of the transposed matrix.
type Transpose: Matrix<Field = Self::Field, Row = Self::Column, Column = Self::Row>;
/// The number of rows of this matrix.
fn nrows(&self) -> usize;
/// The number of columns of this matrix.
fn ncolumns(&self) -> usize;
/// The i-th row of this matrix.
fn row(&self, i: usize) -> Self::Row;
/// The i-th column of this matrix.
fn column(&self, i: usize) -> Self::Column;
/// Gets the component at row `i` and column `j` of this matrix without bound checking.
unsafe fn get_unchecked(&self, i: usize, j: usize) -> Self::Field;
/// Gets the component at row `i` and column `j` of this matrix.
fn get(&self, i: usize, j: usize) -> Self::Field {
assert!(
i < self.nrows() && j < self.ncolumns(),
"Matrix indexing: index out of bounds."
);
unsafe { self.get_unchecked(i, j) }
}
/// Transposes this matrix.
fn transpose(&self) -> Self::Transpose;
}
/// The space of all matrices that are stable under modifications of its components, rows and columns.
pub trait MatrixMut: Matrix {
/// Sets the i-th row of this matrix.
#[inline]
fn set_row(&self, i: usize, row: &Self::Row) -> Self {
let mut res = self.clone();
res.set_row_mut(i, row);
res
}
/// In-place sets the i-th row of this matrix.
fn set_row_mut(&mut self, i: usize, row: &Self::Row);
/// Sets the i-th col of this matrix.
#[inline]
fn set_column(&self, i: usize, col: &Self::Column) -> Self {
let mut res = self.clone();
res.set_column_mut(i, col);
res
}
/// In-place sets the i-th col of this matrix.
fn set_column_mut(&mut self, i: usize, col: &Self::Column);
/// Sets the component at row `i` and column `j` of this matrix without bound checking.
unsafe fn set_unchecked(&mut self, i: usize, j: usize, val: Self::Field);
/// Sets the component at row `i` and column `j` of this matrix.
fn set(&mut self, i: usize, j: usize, val: Self::Field) {
assert!(
i < self.nrows() && j < self.ncolumns(),
"Matrix indexing: index out of bounds."
);
unsafe { self.set_unchecked(i, j, val) }
}
}
/// The monoid of all square matrices, including non-inversible ones.
pub trait SquareMatrix:
Matrix<
Row = <Self as SquareMatrix>::Vector,
Column = <Self as SquareMatrix>::Vector,
Transpose = Self,
> + MultiplicativeMonoid
{
/// The type of rows, column, and diagonal of this matrix.
type Vector: FiniteDimVectorSpace<Field = Self::Field>;
/// The diagonal of this matrix.
fn diagonal(&self) -> Self::Vector;
/// The determinant of this matrix.
fn determinant(&self) -> Self::Field;
// FIXME: add an epsilon value (as for try_normalize)?
/// Attempts to two_sided_inverse `self`.
#[inline]
fn try_inverse(&self) -> Option<Self>;
/// The number of rows or column of this matrix.
#[inline]
fn dimension(&self) -> usize {
self.nrows()
}
/// In-place transposition.
#[inline]
fn transpose_mut(&mut self) {
*self = self.transpose()
}
}
/// The monoid of all mutable square matrices that are stable under modification of its diagonal.
pub trait SquareMatrixMut:
SquareMatrix
+ MatrixMut<
Row = <Self as SquareMatrix>::Vector,
Column = <Self as SquareMatrix>::Vector,
Transpose = Self,
>
{
/// Constructs a new diagonal matrix.
fn from_diagonal(diag: &Self::Vector) -> Self;
/// Sets the matrix diagonal.
#[inline]
fn set_diagonal(&self, diag: &Self::Vector) -> Self {
let mut res = self.clone();
res.set_diagonal_mut(diag);
res
}
/// In-place sets the matrix diagonal.
fn set_diagonal_mut(&mut self, diag: &Self::Vector);
}
/// The group of inversible matrix. Commonly known as the General Linear group `GL(n)` by
/// algebraists.
pub trait InversibleSquareMatrix: SquareMatrix + MultiplicativeGroup {}
// Add marker traits for symmetric-, SDP-ness, etc.