I am working on a simple project whereby I wish to display a 3D object within a WinForms application using SlimDX. I have created a small project to do this, but I am encountering a problem where the
I have a NumPy array of 3,076,568 binary values (1s and 0s). I would like to convert this to a matrix, and then to a grayscale image in Python.
Time for a little bit of math for the end of the day.. I need to project 4 points of the window size: <0,0> <1024,768>
I am looking for a way to allocate a 2D (m x n) matrix on the heap where the elements are consecutive in memory. Currently I know of two ways to accomplish that:
I\'m having a tough time wrapping my head around the following situation. The best way to explain may be by example
I\'m writing a 3D OpenGL app and I\'m having problems with my vertex translation matrix. Here\'s my vertex shader:
I have a matrix A of size mXn and I would like to set some of it elements to zero depending on the following criteria:
I am using SSRS 2008 and trying to calculate the following percentage in my tablix: sum(Fields!Last14Days_Ct.Value) / countdistinct(Fields!Client.Value)
Is there a function that can convert a covariance matrix built using log-returns into a covariance matrix based on simple arithmetic returns?
I encountered what seemed to me as strange behavior using glUniformMatrix4x3fv. Specifically when I give TRUE as for the transpose flag entire rows of my matrices are missing in my shader variable (an
加载中,请稍侯......