Optimization Attempt for p5.js
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Updated
Jan 11, 2023 - JavaScript
Optimization Attempt for p5.js
Create a filled array according to a provided callback function.
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
Remove and return the first element of a collection.
Compute the absolute value for each element in a single-precision floating-point strided array according to a strided mask array.
Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
Convert each element in a single-precision floating-point strided array from degrees to radians according to a strided mask array.
Create an uninitialized array having a specified length.
Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
Compute the multiplicative inverse for each element in a single-precision floating-point strided array according to a strided mask array.
Create an array filled with NaNs and having the same length and data type as a provided array.
Compute the multiplicative inverse for each element in a single-precision floating-point strided array.
Round each element in a single-precision floating-point strided array toward negative infinity according to a strided mask array.
Test if an array-like object supports the accessor (get/set) protocol.
Convert a matrix from row-major layout to column-major layout or vice versa.
Evaluate the ramp function for each element in a single-precision floating-point strided array.
Test if a value is a collection.
Compute the absolute value for each element in a single-precision floating-point strided array.
Create an array filled with NaNs and having a specified length.
Add a description, image, and links to the float32array topic page so that developers can more easily learn about it.
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