[FEAT] Matrix implementation

[KjetilIN]

🚀 Feature: Matrix

Description
Implement a Matrix from scratch

Proposed Solution

• Struct for matrix
• Traits with methods
• Research and find all methods required
• Write comprehensive unit tests

Additional Context / Resources

Wikipedia Link:
https://en.wikipedia.org/wiki/Matrix_(mathematics)

3Blue1Brow Linear Algebra Series:
https://www.3blue1brown.com/topics/linear-algebra

[KjetilIN]

Overall Structure of Lib:

Here is a suggested structure from GPT:

rustic_ml/
├── Cargo.toml
└── src
    ├── lib.rs
    ├── neural_network
    │   ├── mod.rs
    │   ├── layers.rs
    │   ├── activation_functions.rs
    │   └── training.rs
    ├── data_processing
    │   ├── mod.rs
    │   ├── normalization.rs
    │   └── splitting.rs
    └── utils
        ├── mod.rs
        ├── helpers.rs
        ├── matrix.rs
        └── math.rs

Edit: moved away from this structure, but a good suggestion

[KjetilIN]

Created new issues related to functions that does not seem necessary to implement yet:

• [FEAT] Matrix: transpose and inverse functions #26
• [FEAT] Matrix non-commen functions (determinant and orthogonal) #27
• [FEAT] Bechmark Matrix operations #22
• [FEAT] Submatrix as a refrence #28