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- numpy. triu — NumPy v2. 3 Manual
numpy triu # numpy triu(m, k=0) [source] # Upper triangle of an array Return a copy of an array with the elements below the k -th diagonal zeroed For arrays with ndim exceeding 2, triu will apply to the final two axes Please refer to the documentation for tril for further details
- triu - Upper triangular part of matrix - MATLAB - MathWorks
Description U = triu(A) returns the upper triangular portion of matrix A example U = triu(A,k) returns the elements on and above the kth diagonal of A
- torch. triu — PyTorch 2. 9 documentation
torch triu(input, diagonal=0, *, out=None) → Tensor # Returns the upper triangular part of a matrix (2-D tensor) or batch of matrices input, the other elements of the result tensor out are set to 0
- numpy. triu() in Python - GeeksforGeeks
numpy triu () in Python Last Updated : 09 Mar, 2022 numpy triu (a, k = 0) : Returns copy of array with upper part of the triangle w r t k Parameters : a : input array k : [int, optional, 0 by default] Diagonal we require; k>0 means diagonal above main diagonal or vice versa Returns : Upper triangle of a, having same shape and data-type as a
- triu — SciPy v1. 16. 2 Manual
scipy sparse triu # triu(A, k=0, format=None) [source] # Return the upper triangular portion of a sparse array or matrix Returns the elements on or above the k-th diagonal of A k = 0 corresponds to the main diagonal k > 0 is above the main diagonal k < 0 is below the main diagonal Parameters: Adense or sparse array or matrix
- jax. numpy. triu — JAX documentation
jax numpy triu # jax numpy triu(m, k=0) [source] # Return upper triangle of an array JAX implementation of numpy triu() Parameters: m (ArrayLike) – input array Must have m ndim >= 2 k (int) – optional, int, default=0
- NumPy | triu Method with Examples
Numpy's triu (~) method returns the upper triangle of a matrix as a new Numpy array
- Exploring the numpy triu Method in Python - Finxter
The simplest use of the numpy triu method involves passing just the matrix from which you want to extract the upper triangle By default, numpy triu includes the main diagonal and all elements above it, effectively setting the lower triangle to zero
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