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NdArray Functions

• NdArray::add() - Add two matrices.
• NdArray::copy() - Copy an array
• NdArray::copysign() - Change the sign to that of given matrix, element-wise.
• NdArray::cos() - Cosine element-wise.
• NdArray::divide() - Divide two matrices, element-wise.
• NdArray::dot() - Dot product of two matrices.
• NdArray::exp() - Calculate the exponential of all elements in the array.
• NdArray::exp2() - Calculate 2 ** element, element-wise.
• NdArray::expm1() - Calculate exp(element) - 1 in the input array.
• NdArray::is_square() - Check that it's a square matrix.
• NdArray::log() - Return the natural logarithm, element-wise.
• NdArray::log10() - Return the base 10 logarithm, element-wise.
• NdArray::log2() - Return the base 2 logarithm, element-wise.
• NdArray::multiply() - Multiply two matrices, element-wise.
• NdArray::negative() - Numerical negative, element-wise
• NdArray::power() - Array elements raised to powers, element-wise.
• NdArray::ravel() - Flatten an array
• NdArray::reciprocal() - Return the reciprocal of the argument, element-wise.
• NdArray::reshape() - Reshape an array
• NdArray::resize() - Resize an array
• NdArray::signbit() - Returns element-wise true where signbit is set (less than zero).
• NdArray::sin() - Trigonometric sine, element-wise.
• NdArray::sqrt() - The non-negative square-root of an array, element-wise.
• NdArray::square() - The element-wise square of the matrix.
• NdArray::subtract() - Subtract two matrices element-wise.
• NdArray::sum() - Sum all elements.
• NdArray::tan() - Compute tangent element-wise.
• NdArray::trace() - Sum along diagonals.
• NdArray::trapz() - Integrate along the given axis using the composite trapezoidal rule.
• NdArray::tril() - Construct a triangle matrix based on the lower triangle of another one.
• NdArray::triu() - Construct a triangle matrix based on the upper triangle of another one.
• NdArray::vander() - Generate a Vandermonde matrix.

NumPhp Functions

• NumPhp::add() - Add two matrices.
• NumPhp::ar() - Construct a new N-dimensional array
• NumPhp::arange() - Create a range of values based on a step.
• NumPhp::broadcast_to() - Broadcast an array to a new shape.
• NumPhp::copysign() - Change the sign of m-element to that of n-element, element-wise.
• NumPhp::cos() - Cosine element-wise.
• NumPhp::diag() - Extract a diagonal or construct a diagonal array.
• NumPhp::diagflat() - Create a two-dimensional array with the flattened input as a diagonal.
• NumPhp::diagonal() - Extract a diagonal.
• NumPhp::divide() - Divide two matrices, element-wise.
• NumPhp::dot() - Dot product of two matrices.
• NumPhp::exp() - Calculate the exponential of all elements in the input array.
• NumPhp::exp2() - Calculate 2 ** element, element-wise.
• NumPhp::expm1() - Calculate the exponential of all elements in the input array.
• NumPhp::eye() - Construct a 2-D array with ones on the diagonal and zeros elsewhere.
• NumPhp::full() - Create a new NdArray filled with a value
• NumPhp::full_like() - Construct a new array of a given value with the same shape and type as a given array.
• NumPhp::identity() - Construct a square 2-D array with ones on the diagonal and zeros elsewhere.
• NumPhp::is_square() - Check that it's a square matrix.
• NumPhp::linspace() - Create a range with a defined number of values.
• NumPhp::loadtxt() - Load data from a text file.
• NumPhp::log() - Return the natural logarithm, element-wise.
• NumPhp::log10() - Return the base 10 logarithm, element-wise.
• NumPhp::log2() - Return the base 2 logarithm, element-wise.
• NumPhp::logspace() - Create a logarithmic range with a defined number of values.
• NumPhp::multiply() - Multiply two matrices, element-wise.
• NumPhp::negative() - Numerical negative, element-wise.
• NumPhp::nulls() - Create a new NdArray filled with null
• NumPhp::nulls_like() - Construct a new array of nulls with the same shape and type as a given array.
• NumPhp::ones() - Create a new NdArray filled with ones
• NumPhp::ones_like() - Construct a new array of ones with the same shape and type as a given array.
• NumPhp::power() - Array elements raised to powers, element-wise.
• NumPhp::reciprocal() - Return the reciprocal of the argument, element-wise.
• NumPhp::signbit() - Returns element-wise true where signbit is set (less than zero).
• NumPhp::sin() - Trigonometric sine, element-wise.
• NumPhp::sqrt() - The non-negative square-root of an array, element-wise.
• NumPhp::square() - The element-wise square of the matrix.
• NumPhp::subtract() - Subtract two matrices element-wise.
• NumPhp::sum() - Sum all elements.
• NumPhp::tan() - Compute tangent element-wise.
• NumPhp::trace() - Sum along diagonals.
• NumPhp::transpose() - Permute the dimensions of an array.
• NumPhp::trapz() - Integrate along the given axis using the composite trapezoidal rule.
• NumPhp::tri() - Construct an array with ones at and below the given diagonal and zeros elsewhere.
• NumPhp::tril() - Construct a triangle matrix based on the lower triangle of another one.
• NumPhp::triu() - Construct a triangle matrix based on the upper triangle of another one.
• NumPhp::vander() - Generate a Vandermonde matrix.
• NumPhp::zeros() - Create a new NdArray filled with zeros
• NumPhp::zeros_like() - Construct a new array of zeros with the same shape and type as a given array.

Linear algebra Functions

• LinAlg::cholesky() - Cholesky decomposition.
• LinAlg::norm() - Matrix or vector norm.

Random Generator Functions

• Random::rand() - Random values in a given shape.
• Random::randint() - Return random integers from low (inclusive) to high (exclusive).
• Random::randn() - Return a sample (or samples) from the “standard normal” distribution.