BLAS Level 1 operations for ndarrays
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Support the dependencies of scijs/ndarray-blas-level1
Multidimensional Arrays
All the goodness of `feross/standard` with semicolons sprinkled on top.
Formatted TAP output like Mocha's spec reporter
tap-producing test harness for node and browsers
Common operations for ndarray arrays
Pooled memory for ndarrays
Detect a function can be optimized or not.
Support the repos that depend on scijs/ndarray-blas-level1
BLAS Level 2 operations for ndarrays
Cholesky Factorization of ndarrays
Run trained neural networks in the browser or node.js
LU factorization with pivoting for ndarrays
Householder triangularization for QR Factorization of ndarrays
QR decomposition using Givens rotations
Modified Gram-Schmidt Algorithm for QR Factorization
Test numerical properties of ndarrays
Solve ndarray Ax=b via LU factorization with pivoting
BLAS Level 2 DGER for ndarrays
BLAS Level 2 TRSV (triangular solve) for ndarrays
Householder triangularization for QR Factorization of complex ndarrays
generate random covariance matrices, and MVN samples using them.
BLAS Level 2 GEMV (Matrix-Vector multiply) for ndarrays
LDL Decomposition for ndarrays
Optimization library for ndarrays
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