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  1. Viewing Profile: Topics: Gaiiden
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Gaiiden

Member Since 30 Aug 2000
Offline Last Active Yesterday, 09:52 AM
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Topics I've Started

Article notations?

18 April 2013 - 07:03 PM

Is this possible? Is it actually a good idea? I don't know but I'd like to get some discussion going and find out. The idea is exactly what the thread title says - giving people the ability to annotate articles in the body itself. Mainly the members who have worked up to being able to peer-review articles. The reason is that you can quote all you want from the article in the comments and provide corrections there, but that can be a long way down the page and possibly on another page of comments entirely. It would be way better IMO if issues with an article can be pointed out at the precise location of the problem mainly for readers to be able to see upfront. Not sure if there is even any good tech out there and if so, if it would be compatible with our system. Having to roll our own, at this time, would probably be prohibitive despite the usefulness.

 

Thoughts?


What to do with articles of opinion

17 April 2013 - 03:37 PM

I'm interested to hear the community's thoughts on what we should do with articles that are more opinionated than functional. We tried posting one that was highly opinion-based and it was voted down and out in a matter of hours. However it was featured on Gamasutra the same day - but in this case "featured" meant that while it was on the front page of the site in the news feed, ultimately the content was from their blogs section. I've recently posted up another work that has an opinionated slant to it - Why I'll Never Work on First-Person Shooters Again - and while it's been received better so far, already comments have sprung up about its proper place on the site.

 

To keep the comments of the article focused on the article itself, I have created this thread to further discuss the issue.


DX11 Real-Time Raytracing Tech Demo

17 July 2012 - 02:51 AM

So this popped up in my Reader feed tonight:

(via Kotaku)


I'm not sure why it was posted with such sketchy details (not the user's code, says he will get hands on it later) but at least the guy who posted it is well-known for his technical expertise, mainly from the iCEenhancer mod for GTA4 (warning - turn down/off your sound the video music is pretty horrible IMO). So I would assume he has a valid reason for getting it online.

Anyone know whose work this is? Obviously stunning as a tech demo by itself, of course I wonder if there's any CPU cycles left after the rendering and physics Posted Image

div/0 problem

06 July 2012 - 05:28 PM

A friend of mine is having trouble with some of her code - tried to help but not familiar with Python at all I'm afraid. She's pretty much teaching herself for her internship and just picked up the language this week. I'm thinking it's not possible to use a floating point value as a for loop iterator that is perhaps causing s to revert to 0.

She gets the div/0 error on line 13

[source lang="py"]#input array of data as the h(x) [DataIn]#use the FamilyWavelet equation with w, s changing through the loop--random #values#multiply h(x) and FamilyWavelet and sum them upimport numpy as npimport matplotlib.pyplot as pltdef MotherWavelet(eta, w): x = np.pi**(-1./4)*np.exp(1j*w*eta)*np.exp((-eta**2)/2.) return xdef FamilyWavelet(n,n1,w,s,dt): x = (dt/s)**(1./2.) N = ((n1-n)*(dt))/s mw = MotherWavelet(N, w) r = x*mw return r#will get data from fileDataIn = np.loadtxt('/Users/Devan/Documents/SLAC/Projects/wavlet_tutorial/data/nino3sst.dat')newArray = np.zeros((len(DataIn)))totalSumN1 = np.zeros((120)) #want 120 spots in the arraytotalSumS = np.zeros((200)) #100 spots in the arraya = 0n1 = 0w = 5s = 0.2b = 0#an array of all the n1s from 0 to 200for n1 in range(120): for s in range(4): for a in range(len(DataIn)): y = FamilyWavelet(a, n1, w, s, 0.4) c = DataIn[a] * y.conj() newArray[a] = c y = np.sum(newArray) totalSumS[b] = y b +=1 for a in range(len(DataIn)): y = FamilyWavelet(a, n1, w, s, 0.4) c = DataIn[a] * y.conj() newArray[a] = c y = np.sum(newArray) totalSumN1[b] = y b +=1print np.concatenate((totalSumS, totalSumN1))[/source]

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