Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
Is your feature request related to a problem? Please describe.
No
Describe the solution you'd like
Native support for N-Dimension Array with operator overload. This is important for image processing, signal processing and other more advanced algorithms.
Native support for sparse matrix and classical algorithms for sparse matrix, including matrix multiplication, Cholesky, QR, LU decomposition. This is extremely important for data analysis for high dimension data with sparse structure.
FranzyDrX
commented
4 years ago
Is your feature request related to a problem? Please describe. No
Describe the solution you'd like
Native support for N-Dimension Array with operator overload. This is important for image processing, signal processing and other more advanced algorithms.
Native support for sparse matrix and classical algorithms for sparse matrix, including matrix multiplication, Cholesky, QR, LU decomposition. This is extremely important for data analysis for high dimension data with sparse structure.
Native support for sparse tensor. A reference: https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor