I have as small c# project that involves matrices.I am processing large amounts of data by splitting it into n-length chunks, treating the chucks as vectors, and multiplying by a Vandermonde** matrix.
I\'m implementing a maxmin function, it works like matrix multiplication but instead of summing products it gets max of min between two numbers pointwise. 开发者_JAVA百科An example of naive implementa
I\'m new to the CUDA paradigm. My question is in determining the number of threads per block, and blocks per grid. Does a bit of art and trial play into this? What I\'ve found is that many examples ha
In numpy, what\'s the most efficient way to compute x.T * x, where x is a large (200,000 x 1000) dense float32 matrix and .T is the transpose operator?
I\'m performing matrix multiplication with this simple algorithm. To be more flexible I used objects for the matricies which contain dynamicly created arrays.
When working with matrices in R, one can put them side-by-side or stack them top of each other using cbind and rbind, respectively. What is the equivalent function for stacking matrices or arrays in o
I tried to implement the Strassen algorithm for matrix multiplication with C++, but the result isn\'t that, what I expected. As you can see strassen always takes more time then standard implementation
I\'m terrible with matrix maths but I have a situation where I need to scale one. The matrix is an instance of a custom class defined here and my scaling object is a vector containing 3 floats (x,y,z)
I\'ve got an OpenGL scene with some figures on 开发者_如何学JAVAit. Can you tell me what I need to do to calculate figures apexes positions after \"rendering\"? I know I probably need to manual multip
Exist a mode or method to obtained that result? please seem my image in the post I want my result is a product of numbers in vertical (b开发者_运维知识库lack line) multiplied by number
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