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- numpy.ndarray.dot
- numpy.ndarray.dot (Python method, in numpy.ndarray.dot)
- NumPy 1.10.0 Release Notes
...to control compilation parameters, i.e. runtime libraries, extra linking/compilation flags. Addition of np.linalg.multi_dot: compute the dot product of two or more arrays in a single function call, while automatically selecting the fastest...
- NumPy 1.11.0 Release Notes
...f two arrays possibly sharing memory. Automatic bin size estimation for np.histogram. Speed optimization of A @ A.T and dot(A, A.T). New function np.moveaxis for reordering array axes. Build System Changes Numpy now uses setuptools for...
- NumPy 1.12.0 Release Notes
...rts the optimize argument which will optimize the order of contraction. For example, np.einsum would complete the chain dot example np.einsum(‘ij,jk,kl->il’, a, b, c) in a single pass which would scale like N^4; however, when optimize=True...
- NumPy 1.14.0 Release Notes
...pressions of the form np.asarray(a.flat) are used, or when a.flat is passed as the out parameter to a ufunc. np.tensordot now returns zero array when contracting over 0-length dimension Previously np.tensordot raised a ValueError when con...
- NumPy 1.15.0 Release Notes
...akes a few seconds on several hundred input tensors. Useful for matrix product state theories. Reworks the broadcasting dot error catching found in gh-11218 gh-10352 to be a bit earlier in the process. Enhances the can_dot functionality tha...
- NumPy 1.16.0 Release Notes
...can now be overridden by __array_ufunc__. Its implementation has also changed. It uses the same BLAS routines as numpy.dot, ensuring its performance is similar for large matrices. Start and stop arrays for linspace, logspace and geomspac...
- NumPy 1.25.0 Release Notes
...nsum now accepts arrays with object dtype The code path will call python operators on object dtype arrays, much like np.dot and np.matmul. (gh-18053) Add support for inplace matrix multiplication It is now possible to perform inplace matr...
- NumPy 1.5.0 Release Notes
...g can be turned off in the standard way: >>> import warnings >>> warnings.simplefilter("ignore", np.ComplexWarning) Dot method for ndarrays Ndarrays now have the dot product also as a method, which allows writing chains of matrix produc...
- NumPy 2.0.0 Release Notes
- NumPy for MATLAB users
- NumPy quickstart
- numpy.cov
- numpy.dot
- numpy.einsum
- numpy.i: a SWIG interface file for NumPy
- numpy.inner
- numpy.linalg.cholesky
- numpy.linalg.eigh
- numpy.linalg.eigvals
- numpy.linalg.multi_dot
- numpy.linalg.pinv
- numpy.linalg.qr
- numpy.linalg.solve
- numpy.linalg.svd
- numpy.linalg.tensordot
- numpy.linalg.vecdot
- numpy.ma.dot
- numpy.ma.inner
- numpy.ma.innerproduct
- numpy.matmul
- numpy.matrix
- numpy.matvec
- numpy.ndarray
- numpy.ndarray.dot
- numpy.polynomial.chebyshev.chebvander
- numpy.polynomial.chebyshev.chebvander2d
- numpy.polynomial.chebyshev.chebvander3d
- numpy.polynomial.hermite.hermvander
- numpy.polynomial.hermite.hermvander2d
- numpy.polynomial.hermite.hermvander3d
- numpy.polynomial.hermite_e.hermevander
- numpy.polynomial.hermite_e.hermevander2d
- numpy.polynomial.hermite_e.hermevander3d
- numpy.polynomial.laguerre.lagvander
- numpy.polynomial.laguerre.lagvander2d
- numpy.polynomial.laguerre.lagvander3d
- numpy.polynomial.legendre.legvander
- numpy.polynomial.legendre.legvander2d
- numpy.polynomial.legendre.legvander3d
- numpy.polynomial.polynomial.polyvander
- numpy.polynomial.polynomial.polyvander2d
- numpy.polynomial.polynomial.polyvander3d
- numpy.recarray
- numpy.tensordot
- numpy.vdot
- numpy.vecdot
- numpy.vecmat
- NumPy: the absolute basics for beginners
- Array API