Dim returns the dimensions of the matrix in the form (rows, columns).

Transpose returns the transposed matrix and the error.

Col receives the index as a parameter. It returns the vector column at provided index and the error (if there is any).

Dim returns the dimension of the vector.

Fit receives two float64 slices - for the x and y coordinates where x[i] and y[i] represent a coordinate pair in a grid. It returns the error if the X

AreDimsEqual receives another vector as a parameter. Method returns true if the dimensions of the vectors are equal.

InsertCol receives the index and the vector. It adds the provided vector as a column at index k, and returns the resulting matrix and the error (if th

IsSimilar receives another vector and tolerance as a parameter. It checks whether the two vectors are similar within the provided tolerance.

LeftDivide receives another matrix as a parameter. The method solves the symbolic system of linear equations in matrix form, A*X = B for X. It returns

MultiplyBy receives another matrix as a parameter. It multiplies the matrices and returns the resulting matrix and error.

Fit function in Linear type receives two vectors, finds and stores the coefficients in the coeff property, and returns the error if something went wro

Fit function in Poly type receives two vectors, finds and stores the coefficients in the coeff property, and returns the error if something went wrong

Fit function in Exponential type receives two vectors, finds and stores the coefficients in the coeff property, and returns the error if something wen

Sum returns the sum of all elements in the vector

Add receives another vector as a parameter. It adds the two vectors and returns the result vector and the error (if there is any).

DivideByScalar receives a scalar as a parameter. It divides all the elements of the vector by provided scalar and returns the result vector.

Dot receives another vector as a parameter. It calculates the dot product between the two vectors and returns the float result and an error (if there

Invert returns the inverted matrix by using Gauss-Jordan elimination

IsEqual receives another matrix as a parameter. It returns true if the values of the two matrices are equal, and false otherwise.

Log applies natural logarithm to all the elements of the matrix, and returns the resulting matrix.

Power receives a float as a parameter. It returns the vector whose elements are x^n.

Subtract receives another vector as a parameter. It subtracts the two vectors and returns the result vector and an error (if there is any).

Exp applies e^x to all the elements of the matrix, and returns the resulting matrix.

MultiplyByScalar receives a scalar as a parameter. It multiplies all the elements of the vector with provided scalar and returns the result vector.

Row receives the index as a parameter. It returns the vector row at provided index and the error (if there is any).

WithSingle accepts the single float64 value, and returns the interpolated value for it, and the error

Add receives another matrix as a parameter. It adds the two matrices and returns the result matrix and the error (if there is any).

Bisection receives three parameters. First parameter is the function we want to find root of. Second one is the tolerance. Third and fourth parameters

IsSimilar receives another matrix and tolerance as the parameters. It checks whether the two matrices are similar within the provided tolerance.

New returns the pointer to the new Linear type

New returns the pointer to the new Poly type

New returns the pointer to the new Exponential type

New returns the new Linear object

New returns the new Lagrange object.

Newton receives three parameters. First parameter is the function we want to find root of. Second one is the initial guess (reasonably close to the tr

Predict function in Linear type accepts value to be predicted, and returns the predicted value based on the y=p+q*x formula.

Predict function in Poly type accepts value to be predicted, and returns the predicted value based on the y=p1+p2*x+p3*x^2+...+p(n+1)*x^n formula.

Predict function in Exponential type accepts value to be predicted, and returns the predicted value based on the y=p*e^(q*x) formula.

PredictMulti accepts the slice of float64, and returns the predicted values for the passed slice values, and the error

Simpson is a function which accepts function, left, right bounds and n number of subdivisions. It returns the integration value of the function in the

SlicesToCoordinatePairs is a function which receives two slices of floats (x and y), turns them into a slice of CoordinatePairs, and returns the resul

SortCoordinatePairs is a function which receives a slice of CoordinatePairs, and sorts it in ascending order.

Subtract receives another matrix as a parameter. It subtracts the two matrices and returns the result matrix and the error (if there is any).

Trapezoid is a function which accepts function, left, right bounds and n number of subdivisions. It returns the integration value of the function in t