I have the following GLSL code: uniform mat3x3 rgb2xyz = mat3x3( vec3(DEFAULT_RGB2XYZ_XR, DEFAULT_RGB2XYZ_XG, DEFAULT_RGB2XYZ_XB),
Given a 2D numpy array, I need to compute the dot product of every column with itself, and store the result in a 1D array. The following works:
I\'m using a version of openMP which does not support reduce() for complex argument. I need a fast dot-product function like
I\'ve got a numpy script that spends about 50% of its runtime in the following code: s = numpy.dot(v1, v1)
I have two lists, one is named as A, another is named as B. Each element in A is a triple, and each element in B is just an number. I would like to calculate the result defined as :
I am optimizing some code for an Intel x86 Nehalem micro-architecture using SSE intrinsics. A portion of my program computes 4 dot products and adds each result to the previous 开发者_C百科values in
开发者_如何学Python It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical andcannot be reasonably answered in its current f
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