Collection of math utilities
Experimental math classes for loaders.gl
Culling Functionality for 3D Classes
Geospatial classes
Returns a 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
Round a double-precision floating-point number toward negative infinity.
Returns an integer corresponding to the unbiased exponent of a double-precision floating-point number.
Test if a finite double-precision floating-point number is an integer.
Math utilities for use with minecraft scripting modules
Compute the principal square root of a double-precision floating-point number.
Stub TypeScript definitions entry for mathjs, which provides its own types definitions
Test if a finite numeric value is an even number.
Round a double-precision floating-point number toward positive infinity.
Round a double-precision floating-point number toward zero.
Natural exponential function.
Evaluate the natural logarithm of a double-precision floating-point number.
Test if a double-precision floating-point numeric value is positive zero.
Test if a finite numeric value is an odd number.
Exponential function.
Return the maximum value.
Creates a double-precision floating-point number from a higher order word and a lower order word.
Splits a floating-point number into a higher order word and a lower order word.
Returns a double-precision floating-point number with the magnitude of x and the sign of y.
Round a numeric value to the nearest integer.
Generates code from mathematical expressions
elasticsearch datemath parser, used in kibana
Complementary error function.
Test if a double-precision floating-point numeric value is negative zero.
Compute `x - nπ/2 = r`.
Compute the cosine of a double-precision floating-point number on [-π/4, π/4].
Compute the sine of a double-precision floating-point number on [-π/4, π/4].
Compute the sine of a number.
Compute the cosine of a number.
Compute sin(πx).
Gamma function.
Natural logarithm of the gamma function.
Evaluate the natural logarithm of 1+x.
Return the minimum value.
Compute exp(x) - 1.