xtensor
vectormath
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| xtensor | vectormath | |
|---|---|---|
| 8 | 2 | |
| 3,215 | 249 | |
| 2.0% | - | |
| 7.6 | 2.3 | |
| 4 days ago | 24 days ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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xtensor
- Does anyone know any good open source project to optimize?
- Container slicing in c++
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Which is the best way to work with matrices and linear algebra using c++?
I use xtensor: https://github.com/xtensor-stack/xtensor
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Can you give an example of well-designed C++ code, and explain why you think it is so?
Currently, one of my current favorites is xtensor.
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Risk of valarray being deprecated?
xTensor natively supports tensors and multidimensional arrays - not just vectors and matrices. Is fast, but not always as fast as Eigen and Blaze - and compiles very slow. Has a nice syntax.
- Xtensor: multi-dimensional arrays with broadcasting and lazy computing
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Eigen: A C++ template library for linear algebra
I wonder how Eigen compares to xtensor, which was inspired by Numpy and has support for views, slicing, and broadcasting?
https://github.com/xtensor-stack/xtensor
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When researching and developing new algorithms to be used in the real-world production environment, what is your workflow and how do you usually do it? Do I have to prototype in Python, and then rewrite all code in C++/Rust?
You can try eigen (http://eigen.tuxfamily.org/), armadillo (http://arma.sourceforge.net/) which is based on LAPACK which is what numpy is based on and xtensor (https://github.com/QuantStack/xtensor) which I think is the closest thing to numpy you’re gonna find in c++
vectormath
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Vector math library benchmarks (C++)
I actually used that library rather than GLM back in college (specifically this fork) and thought about including it, but it doesn't look like it's been maintained in a long time and seemingly has poor cross platform support (incl for different processor architectures).
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Which is the best way to work with matrices and linear algebra using c++?
there's also VectorMath but it's SIMD so I don't know how it bodes with robot architectures
What are some alternatives?
Fastor - A lightweight high performance tensor algebra framework for modern C++
pinocchio - A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
EA Standard Template Library - EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.
stdBLAS - Reference Implementation for stdBLAS
dynarray - A header-only library, VLA for C++ (≥C++14). Extended version of std::experimental::dynarray
GLM - OpenGL Mathematics (GLM)
SwiftyWasmer - A Swift API for the Wasmer WebAssembly Runtime
xtensor-ros - ROS (Robot Operating System) bindings for xtensor, the multidimensional linear algebra library
xtensor-blas - BLAS extension to xtensor
Robotics Library (RL) - The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.