nn is C library for storing and manipulating different number types.

• Supports multiple number types including integers, floating-point numbers, vectors, matrices, and tensors.
• Uses union to store different types of numbers.
• Defines custom vector types to perform SIMD operations.
• Provides functions to create, delete, and manipulate numbers.

To use the library, include the header file nn.h in your project.

#include <nn.h>

nn defines functions to work with a numerical type NN_TYPE, which can be either float or double. vector is a structure for storing an array of NN_TYPE numbers, and the functions operate on vector objects.

Enumerates the different types of numbers that can be stored.

enum nn_type {
    NN_INTEGER,
    NN_FLOAT,
    NN_DOUBLE,
    NN_VECTOR,
    NN_MATRIX,
    NN_TENSOR,
    NN_RATIONAL,
    NN_IRRATIONAL,
    NN_COMPLEX,
    NN_HYPERCOMPLEX,
    NN_QUANTERNION,
    NN_BIG,
    NN_UNDEFINED
};

Stores any type of number.

struct nn_number {
    union {
        unsigned int integer;
        float        floated;
        double       doubled;
        void        *values;
    };
    enum nn_type     type;
};

Stores a vector of numbers.

struct nn_vector {
    struct nn_number number;
    size_t           length;
};

Stores a matrix of numbers.

struct nn_matrix {
    struct nn_number  number;
    size_t            rows;
    size_t            columns;
};

Stores a tensor of numbers.

struct nn_tensor {
    struct nn_number  number;
    size_t            rank;
    size_t           *shape;
};

typedef struct nn_number number;
typedef struct nn_vector vector;
typedef struct nn_matrix matrix;

Getters:

• VECTOR(vector, index): Returns the index-th element of the vector.
• MATRIX(matrix, row, column): Returns the [row][column]-th element of the matrix.

Macros for loop for iterating over the elements of the vector and matrix:

• VECTOR_FOREACH(vector)
• MATRIX_FOREACH(matrix)

This functions updates the elements of vector v by applying some operation to each element, and then returns a reference to the updated vector:

This functions updates the elements of vector v by adding/substracting/multiplicating/divising the value of w (scalar or vector) to each element, and then returns a reference to the updated vector:

This functions updates the elements of matrix A by applying some operation to each element, and then returns a reference to the updated matrix:

This functions updates the elements of matrix A by adding/substracting/multiplicating/divising the value of B (scalar or matrix) to each element, and then returns a reference to the updated matrix: