stdlib-js/math-base-special-abs

Load a manifest for compiling source files.

Float64Array.

Uint32Array.

Double-precision floating-point negative infinity.

Double-precision floating-point positive infinity.

Test if a double-precision floating-point numeric value is NaN.

Uniformly distributed pseudorandom numbers between 0 and 1.

Wrap `require` in a try/catch block.

Proxies nodejs require in order to allow overriding dependencies during testing.

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Minimal TAP output formatter.

Benchmark harness.

High word mask for excluding the sign bit of a double-precision floating-point number.

C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.

Split a double-precision floating-point number into a higher order word and a lower order word.

Check if an environment is little endian.

Test if a double-precision floating-point numeric value is positive zero.

π.

Round a numeric value to the nearest integer.

Compute the L2-norm of a complex double-precision floating-point vector.

Compute the sum of the absolute values of the real and imaginary components of a double-precision complex floating-point number.

Find the index of the first element having the maximum absolute value.

Evaluate ln(1+x) - x.

Construct a Givens plane rotation.

Compute the Jacobi elliptic functions sn, cn, and dn.

Create a strided array function interface which accepts a callback function and performs multiple dispatch.

Return the minimum absolute value.

Return the minimum and maximum absolute values.

Return the maximum absolute value.

Studentized range distribution quantile function.

Studentized range cumulative distribution function (CDF).

Evaluate the terms of a continued fraction.

Exponential distribution cumulative distribution function (CDF).

Create an iterator which generates a list of all continued fraction terms which can be obtained given the precision of a provided number.

Levene's test for equal variances.

Base (i.e., lower-level) special math functions.

Perform a chi-square independence test.

Two-dimensional kernel density estimation.

Compute the absolute value.

Multidimensional arrays.

Compute the absolute value for each element in a strided array.

Create a strided array function interface which performs multiple dispatch.

Binomial distributed pseudorandom numbers.

Normally distributed pseudorandom numbers using the improved Ziggurat method.

Laplace (double exponential) distributed pseudorandom numbers.

Poisson distributed random numbers.

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

Compute the absolute value for each element in a single-precision floating-point strided array.

Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.

Adds a constant to each single-precision floating-point strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.

Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.

Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

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

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.