
linear algebra - Proof of # of FLOPs in Matrix Multiplication ...
2020年1月17日 · I am trying to prove the number of FLOPs that a matrix multiplication would use. The matrices are of the form $(n \times p)$ and $(p \times m)$.
linear algebra - Dot product vs Matrix multiplication, is the later a ...
As a means to encode linear transformation or geometric transformation; or maybe some other concepts. In the context of this answer, what I meant was to encode a set of vectors and to find dot product easily via matrix multiplication (numpy.matmul used to …
matrices - Using Matrix Calculus in Backpropagation derivation.
2024年2月12日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
matrices - Computing flops for matrix multiplication
Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
What is the derivative of matrix multiplication, wrt another matrix ...
2020年2月8日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
Complexity of matrix multiplication with different size
2020年11月2日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
Is there a symbol for matrix multiplication operator?
Title says it all. Is there any specific operator symbol for matrix multiplication? Not just write down side by side but symbols like cross ($\\times$).
Fast matrix multiplication for large matrices in Python
2024年8月30日 · I've also tried this by converting the Sympy matrices to Numpy arrays and using np.matmul and np.dot, but those seem to be taking longer times. If there is a function or library to implement Bogoliubov transformations in Python, that would help too.
3D Array Multiplication - Mathematics Stack Exchange
2020年4月8日 · The correct Python syntax would be for i in range(A.shape[0]) and would use matmul instead of dot, but you don't want the for loop anyway. You could write C=np.array([a.matmul(b) for a, b in zip(A, B)]), which is a declarative comprehension rather than an imperative for loop.
Is there a 3-dimensional "matrix" by "matrix" product?
Is it possible to multiply A[m,n,k] by B[p,q,r]? Does the regular matrix product have generalized form? I would appreciate it if you could help me to find out some tutorials online or mathematical...