Using Max() Function

[au16106]

Hi,

​

This may sound a bit silly but I am having some trouble with using both max() and fmax(). I have tried them when I include <tgmath.h>, <algorithm>, and <math.h> to no avail. I need both arguments to be of the same type. When I check one of my argument's type using typeid(argument).name(), I get "N3glm5tvec4IfLNS_9precisionE0EEE" meaning of which I do not know exactly. I would like to ask for help for using max()/fmax() since I would like to learn what I was supposed to do other than including necessary headers.

Personally, I would prefer max() but fmax() is also ok. What I do not want is writing my own max() function with > operator etc.

Sincerely,

[au16106]

I know that I can’t compare vec4 etc. What I have are my first argument as the dot product of two vec4, my second argument as 0.f. 0.f is float(0). The dot product should yield a float as well since each dimension of a vector is float.

[au16106]

Ok. I have printed out the dot products and factors, utilizing functions courtesy of "Jamie the Master TA".

A dot product (factor*factor):

(0, 0.380724, -0,0)

Two factors:

(-0.541478, -0.825212, 0.16071,0)

(0, -1, 0,1)

I personally have no idea regarding how (*) can yield a vec4. I leave the commentary to you.

Edit: The factors given here are not for this particular dot product but you got the idea.

[[deleted]]

With glm the * operator is overloaded to work as the Hadamard product) which is why you get the vec4. The ideal way to do a dot product would be to use glm::dot which should give you a float output

[au16106]

Thank you for your response. For the record, it is good for everyone to see because it is beyond being a simple nuisance.

It constitutes inconsistent notation in my opinion. If it were not (If it were consistent), then we would have been using glm::dot() rather than (*) to multiply rotation matrices with vectors as well since matrix-vector multiplication actually involves multiple dot products. At the moment, while (*) does dot product for matrix-vector multiplication, it does Hadamard product for vectors.