@stdlib/array-full
Create a filled array having a specified length.
Found 296 results for float32
Create a filled array having a specified length.
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.
Create a filled array.
n8n nodes for industrial automation with complete Modbus support (FC1-FC4) and intuitive data conversion with scaling options
Mask for the exponent of a single-precision floating-point number.
Test if two arguments are both Float32Arrays and have the same values.
Mask for the significand of a single-precision floating-point number.
Create an array filled with ones and having a specified length.
π.
Round a single-precision floating-point number toward positive infinity.
Test if a value is a Complex64Array.
1/4 times π.
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.
Return a boolean indicating if the sign bit for a single-precision floating-point number is on (true) or off (false).
1/2 times π.
Interchanges two complex single-precision floating-point vectors.
Calculate the dot product with extended accumulation and result of two single-precision floating-point vectors.
Golden ratio.
Generate a linearly spaced numeric array whose elements increment by 1 starting from zero.
Return a single-precision floating-point number with the magnitude of x and the sign of y.
Copy values from x into y.
Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.
Test if a value is a 64-bit complex number.
Return a string giving the literal bit representation of a single-precision floating-point number.
Apply a unary function to a single-precision floating-point strided input array and assign results to a single-precision floating-point strided output array.
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
Create an array filled with NaNs and having a specified length.
Compute the sum of absolute values (L1 norm).
Fill a single-precision floating-point strided array with a specified scalar constant.
Calculate the dot product of two single-precision floating-point vectors with extended accumulation.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
C API for registering a Node-API module exporting a strided array interface for applying a unary callback to a single-precision floating-point strided input array according to a strided mask array and assigning results to a single-precision floating-poin
Single-precision floating-point NaN.
Return an integer corresponding to the significand of a single-precision floating-point number.
Create a single-precision floating-point number from a literal bit representation.
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
Return an integer corresponding to the unbiased exponent of a single-precision floating-point number.
Calculate the sum of single-precision floating-point strided array elements.
C API for registering a Node-API module exporting a strided array interface for applying a unary callback to a single-precision floating-point strided input array and assigning results to a single-precision floating-point strided output array.
Compute the squared absolute value for each element in a single-precision floating-point strided array.
Convert a single-precision floating-point number to an unsigned 32-bit integer.
Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.
Interchange two single-precision floating-point vectors.
Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
Adds a constant to each single-precision floating-point strided array element and computes the sum.
Compute the L2-norm of a complex single-precision floating-point vector.
Multiply a single-precision floating-point vector by a constant.
Convert a single-precision floating-point number to a signed 32-bit integer.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.
Base double-precision floating-point number assert functions.
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
Apply a unary function to a single-precision floating-point strided input array according to a strided mask array and assign results to a single-precision floating-point strided output array.
Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation and returning an extended precision result.
Multiply a vector x by a constant and add the result to y.
Calculate the L2-norm of a single-precision floating-point vector.
Apply a plane rotation.
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
Encode/decode typed arrays (e.g. Float32Array, Uint8Array) to and from base64 strings.
Calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Sort a single-precision floating-point strided array using Shellsort.
Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
Converts a double-precision floating-point number to the nearest single-precision floating-point number.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.
Creates a single-precision floating-point number from a literal bit representation.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.
Return the minimum safe integer capable of being represented by a numeric real type.
Base (i.e., lower-level) single-precision complex number assertion functions.
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
converts int bits to float and back
Sort a single-precision floating-point strided array using heapsort.
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
Return the smallest positive normal value capable of being represented by a numeric real type.
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.
Round each element in a single-precision floating-point strided array toward negative infinity according to a strided mask array.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the cumulative sum of single-precision floating-point strided array elements.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
Base utilities for single-precision floating-point numbers.
Create an uninitialized array having the same length and data type as a provided array.
Apply a plane rotation.
Apply a modified Givens transformation.
Compute the multiplicative inverse for each element in a single-precision floating-point strided array according to a strided mask array.
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.
Calculate the maximum value of a single-precision floating-point strided array.
Test if a value is an ndarray-like object containing single-precision floating-point numbers.
Compute the cube root for each element in a single-precision floating-point strided array according to a strided mask array.
Calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Apply a binary function to single-precision floating-point strided input arrays according to a strided mask array and assign results to a single-precision floating-point strided output array.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
Returns an integer corresponding to the significand of a single-precision floating-point number.
Calculate the range of a single-precision floating-point strided array.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the mid-range of a single-precision floating-point strided array.
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
Calculate the cumulative minimum of single-precision floating-point strided array elements.
Find the index of the first element having the maximum absolute value.
Round each element in a single-precision floating-point strided array toward zero.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Base (i.e., lower-level) single-precision complex number functions.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation with extended accumulation.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Construct a Givens plane rotation.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort.
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Round each element in a single-precision floating-point strided array toward zero according to a strided mask array.
Compute the absolute value for each element in a single-precision floating-point strided array according to a strided mask array.
Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the minimum value of a single-precision floating-point strided array.
Calculate the maximum absolute value of a single-precision floating-point strided array.
Returns the next representable single-precision floating-point number after x toward y.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
Calculate the median value of a sorted single-precision floating-point strided array.
Evaluate the signum function for a single-precision floating-point number.
Reverse a single-precision floating-point strided array in-place.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Test if a value is a 1-dimensional ndarray-like object containing single-precision floating-point numbers.
Calculate the maximum absolute value of a sorted single-precision floating-point strided array.
Calculate the maximum value of a sorted single-precision floating-point strided array.
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the variance of a single-precision floating-point strided array.
2π.
Calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
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 cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation.
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
Round each element in a single-precision floating-point strided array toward negative infinity.
Adds a constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.
Calculate the minimum absolute value of a single-precision floating-point strided array.
Compute the principal square root for each element in a single-precision floating-point strided array.
Compute the multiplicative inverse for each element in a single-precision floating-point strided array.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using pairwise summation with extended accumulation, and returning an extended precision result.
Interchange two single-precision floating-point vectors.
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Apply a binary function to single-precision floating-point strided input arrays and assign results to a single-precision floating-point strided output array.
Calculate the dot product of two single-precision floating-point vectors.
Convert each element in a single-precision floating-point strided array from degrees to radians.
Sort a single-precision floating-point strided array using insertion sort.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the cumulative maximum of single-precision floating-point strided array elements.
Round each element in a single-precision floating-point strided array toward positive infinity according to a strided mask array.
Compute the cube root of each element in a single-precision floating-point strided array.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
convert/encode a float array as a hex string and back again.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
Calculate the standard deviation of a single-precision floating-point strided array.
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Smallest positive single-precision floating-point number.
Round each element in a single-precision floating-point strided array toward positive infinity.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Returns a string giving the literal bit representation of a single-precision floating-point number.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Test if a value is a 64-bit or 128-bit complex number.
Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Calculate the minimum value of a sorted single-precision floating-point strided array.
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Evaluate the identity function for a single-precision complex floating-point number.
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Compute the squared absolute value for each element in a single-precision floating-point strided array according to a strided mask array.
Test if a value is a 2-dimensional ndarray-like object containing single-precision floating-point numbers.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Evaluate the identity function for a single-precision floating-point number.
Calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.
Create an array filled with ones and having the same length and data type as a provided array.
Create a zero-filled array having the same length and data type as a provided array.
Return the maximum safe integer capable of being represented by a numeric real type.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Maximum single-precision floating-point number.
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.
C API for registering a Node-API module exporting a strided array interface for applying a binary callback to single-precision floating-point strided input arrays and assigning results to a single-precision floating-point strided output array.
Maximum single-precision floating-point number.
Compute the reciprocal square root for each element in a single-precision floating-point strided array.
C API for registering a Node-API module exporting a strided array interface for applying a binary callback to single-precision floating-point strided input arrays according to a strided mask array and assigning results to a single-precision floating-point
Returns an unsigned 32-bit integer corresponding to the IEEE 754 binary representation of a single-precision floating-point number.
Generate a linearly spaced numeric array whose elements increment by 1 starting from zero and having the same length and data type as a provided input array.
Add a constant to each element in a single-precision floating-point strided array.
Compute the reciprocal square root for each element in a single-precision floating-point strided array according to a strided mask array.
Evaluate the ramp function for each element in a single-precision floating-point strided array.
Calculate the sum of single-precision floating-point strided array elements using extended accumulation.
Return the maximum finite value capable of being represented by a numeric real type.
Utilities for single-precision floating-point numbers.
Return a single-precision floating-point number with the magnitude of x and the sign of x*y.
Evaluate the ramp function for each element in a single-precision floating-point strided array according to a strided mask array.
Canonical single-precision complex floating-point NaN.
Convert each element in a single-precision floating-point strided array from degrees to radians according to a strided mask array.
Smallest positive single-precision floating-point number.
Return the minimum safe integer capable of being represented by a numeric real type.
Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point number.
Create a complex number typed array.
Compute the absolute value for each element in a single-precision floating-point strided array.
Create a typed array.
Splits a single-precision floating-point number into a normalized fraction and an integer power of two.
Compute the principal square root for each element in a single-precision floating-point strided array according to a strided mask array.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Return the smallest positive normal value capable of being represented by a numeric real type.
Returns a boolean indicating if the sign bit for a single-precision floating-point number is on (true) or off (false).
Return the maximum finite value capable of being represented by a numeric real type.
C API for registering a Node-API module exporting a strided array interface for applying a unary callback to a single-precision complex floating-point strided input array and assigning results to a single-precision complex floating-point strided output ar
Returns an integer corresponding to the unbiased exponent of a single-precision floating-point number.
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Creates a single-precision floating-point number from an unsigned integer corresponding to an IEEE 754 binary representation.
Create a filled array having the same length and data type as a provided array.
Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.
Javscript float32array utils
Apply a unary function to a single-precision complex floating-point strided input array and assign results to a single-precision complex floating-point strided output array.