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###Compare α*A, where α is a scalar and A is a matrix###

Compare α*A, where α is a scalar and A is a matrix

###Compare A.v, where v is a vector and A is a matrix###

Compare A.v, where v is a vector and A is a matrix

code used for comparison###comparison

##Edit##

##Edit 2##

##Edit 3##

###Compare α*A, where α is a scalar and A is a matrix###

###Compare A.v, where v is a vector and A is a matrix###

code used for comparison###

Edit

Edit 2

Edit 3

Compare α*A, where α is a scalar and A is a matrix

Compare A.v, where v is a vector and A is a matrix

code used for comparison

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Mr.Wizard
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xslittlegrass
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It seems that Mathematica has a much closer performance to Matlab in the matrix vector mulplitcation than that of the matrix vectornumber multiplication.

I'm happy about the <2X slowness in the matrix vector multiplication, but the slowness of the matrix number multiplication seems to me like something is not working properly, given that this operation is so fundamental that it should have been optimized at an early stage.

It seems that Mathematica has a much closer performance to Matlab in the matrix vector mulplitcation than that of the matrix vector multiplication.

It seems that Mathematica has a much closer performance to Matlab in the matrix vector mulplitcation than that of the matrix number multiplication.

I'm happy about the <2X slowness in the matrix vector multiplication, but the slowness of the matrix number multiplication seems to me like something is not working properly, given that this operation is so fundamental that it should have been optimized at an early stage.

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xslittlegrass
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xslittlegrass
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xslittlegrass
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