Numeric Rust

N-dimensional matrix class for Rust 1.0. It links to OpenBLAS and LAPACK to make tensor operations fast (such as matrix multiplications and linear solvers). It utilizes Rust's move semantics as much as possible to avoid unnecessary copies.

Features

Some of the completed and planned features:

• [x] Element-wise addition, subtraction, multiplication, division
• [x] Matrix multiplication and scalar product
• [x] Indexing
• [x] Slicing
• [x] Generic (anything from Tensor<bool> to Tensor<f64>)
• [x] Mathematical functions
• [x] Linear solver
• [ ] Strided slices
• [ ] Updating slices
• [ ] Broadcasted axes
• [ ] Matrix solver / inverse

Example

```rust use numeric::DoubleTensor;

fn main() { type T = Tensor;

let a = T::range(6).reshaped(&[2, 3]);
let b = T::new(vec![7.0, 3.0, 2.0, -3.0, 2.0, -5.0]).reshaped(&[2, 3]);
let c = T::new(vec![7.0, 3.0, 2.0]);

let d = &a + &b;         // a copy is made
println!("d = {}", d);

let e = T::dot(&a, &c);  // matrix multiplication (returns a new tensor)
println!("e = {}", e);

let f = a + &b;          // a is moved (no memory is allocated)
println!("f = {}", f);

// Higher-dimensional
println!("g = {}", T::ones(&[2, 3, 4, 5]));

} ```

Output:

d = 7 4 4 0 6 0 [Tensor<f64> of shape 2x3] e = 7 43 [Tensor<f64> of shape 2] f = 7 4 4 0 6 0 [Tensor<f64> of shape 2x3] g = ... [Tensor<f64> of shape 2x3x4x5]

Acknowledgement

Borrowing shamelessly from the great projects Numpy and Torch7.