This project provides a function to evaluate the natural logarithm of a double-precision floating-point number. It is part of stdlib, a standard library for JavaScript and Node.js focused on numerical and scientific computing, and is intended for developers needing robust mathematical functionality in their applications.
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Support the dependencies of stdlib-js/math-base-special-ln
The bias of a double-precision floating-point number's exponent.
Double-precision floating-point negative infinity.
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
Set the more significant 32 bits of a double-precision floating-point number.
Load a manifest for compiling source files.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point positive infinity.
Read the entire contents of a file.
Write data to a file.
Test if a double-precision floating-point numeric value is positive zero.
Compute the absolute value of a double-precision floating-point number.
Exponential function.
Compile a module for evaluating a polynomial.
Compile a C function for evaluating a polynomial.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
Return the part of a string after a specified substring.
Return the part of a string before a specified substring.
Current year.
Wrap `require` in a try/catch block.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use ca
Minimal TAP output formatter.
Benchmark harness.
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