Topic: strided Goto Github
Some thing interesting about strided
Some thing interesting about strided
strided,Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,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.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,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.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the cumulative sum of strided array elements.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
Organization: stdlib-js
strided,Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of strided array elements.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
Organization: stdlib-js
strided,Add a constant to each element in a single-precision floating-point strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the sum of single-precision floating-point strided array elements.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Element-wise addition of two strided arrays.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Element-wise multiplication of two strided arrays.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Compute the Bessel function of the second kind of order zero for each element retrieved from an input strided array via a callback function.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Round each element in a single-precision floating-point strided array toward positive infinity.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Round each element in a single-precision floating-point strided array toward positive infinity according to a strided mask array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Evaluate the ramp function for each element in a single-precision floating-point strided array according to a strided mask array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Fill a strided array with pseudorandom numbers drawn from a beta prime distribution.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the cumulative maximum of a strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the maximum value of a double-precision floating-point strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,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.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the maximum value of a strided array, ignoring NaN values.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the minimum absolute value of a single-precision floating-point strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a single-precision floating-point strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the standard deviation of a strided array using Welford's algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the variance of a single-precision floating-point strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Calculate the variance of a strided array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Return the enumeration constant associated with a supported strided array data type value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Apply a binary function to each pair of elements retrieved from strided input arrays according to a callback function and assign results to a strided output array.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
strided,Return the minimum accessible index based on a set of provided strided array parameters.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.