High-performance SIMD library for Go with AVX/NEON support

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Natural logarithm of 2π.

Maximum double-precision floating-point number.

1/2 times π.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.

Square root of 0.5π.

Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Create a double-precision floating-point number from a literal bit representation.

Double-precision floating-point negative infinity.

Set the more significant 32 bits of a double-precision floating-point number.

Split a double-precision floating-point number into a normalized fraction and an integer power of two.

Calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Square root of π.

Calculate the maximum value of a double-precision floating-point strided array.

Return a string giving the literal bit representation of a double-precision floating-point number.

Test if a value is a 2-dimensional ndarray-like object containing double-precision floating-point numbers.

Convert a double-precision floating-point number to an unsigned 32-bit integer.

Copy all or part of a matrix A to another matrix B.