2 repository-uri
Application of custom functions across multi-dimensional arrays with support for broadcasting.
Distinct from Custom Function Maps: None of the candidates cover numerical array mapping; they focus on template maps or API routing.
Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Array Function Mapping. Refine with filters or upvote what's useful.
ndarray is a multidimensional array library for Rust that serves as a linear algebra framework and scientific computing tool. It provides the core infrastructure for creating and manipulating n-dimensional arrays, functioning as both a parallel array processor and a toolkit for numerical data analysis. The library distinguishes itself by providing efficient slicing and memory views, allowing for data sharing without copying. It leverages optimized backend math libraries for high-speed matrix multiplication and distributes heavy mathematical iterations across multiple CPU threads to accelerate
Applies custom functions to corresponding elements of multiple arrays in lock step with broadcasting support.
xtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp
Executes user-specified functions across multidimensional expressions with integrated broadcasting support.