blinds be (B1,B2..B5). Then the geometry for the five iterations will be ((A+B1), (A+B2)...(A+B5)).
And assume that you are measuring illuminance at four points inside the room (x1,x2,x3,x4) and one point outside the room(y1).
The way Daysim works ( and should work as per the best of my understanding) is that for each setting of the blind (ie. B1,B2,..B5), a separate value of (x1,x2,x3,x4) gets calculated through the Daylight Coefficient Method. So let's say you have illuminance thresholds of (p,q,r,s,t) corresponding to (B1,B2,..B5). What the shade-control algorithm does is that it compares the illuminance at y1 with your threshold of (p,q,..t) and then chooses a value of (x1,x,2,x3,x4) on basis of that. So, when we repeat this process for (365x24=)8760 hours , we end up with a value of a shade setting for each hour which was set on basis of your threshold illuminance values.
I would have gladly answered your question on HB itself, however, I usually work with Daysim directly through commandline.
(BTW, if you are interested in reading more about Daysim google Christoph Reinhart's dissertation on the subject, along with some papers by Zack Rogers).…
by its own tangent vector on the curve... and this happens to the last item. Here's the algorithm:
B0 ----> B1
B1 ----> B2
B2 ----> B3
B3 ----> B4
...
…
this target list:
(a1, b1, c1, d1)
(a2, b2, c2, d2)
(a3, b3, c3, d3)
....
What I want to do is injecting one more value (arbitrary angle in my case) to each point before I cull many of them - so that each point brings its angle data along.
Any hep would be greatly appreciated. TIA
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f 9 lines scaled one by one scale factor. I need fist line scaled by first scale factor, second by second and e.c.
I'm wondering does it work this way or there are some alternative ways of handle this or maybe there are some options in this component?…
Added by trashtalkep at 7:21pm on October 25, 2009
on 2: I think the reason to draw a fitness landscape is to highlight graphically the presence of local minima, even in a simple optimisation problem. In architectural terms, this means getting an idea of how many sub-optimal solutions there are in a problem, which helps while exploring conceptual design proposals.
Have a look at this very basic example (which I published with two colleagues on "Shell Structures for Architecture", chapter 18): a shell footbridge (24m x 4m footprint), which is generated by two parabolic section curves (the two apex heights are the two design variables). The maximum displacement of the structure under gravity load and self-weight is the objective function. Simple example, but several local minima and interesting shell forms (image below).
@AB,
The expression used by David in the Number of Samples Input is a simple “x+1”. By grafting the Divide Curve Output, he got 81*81 lenghts (6,561 values). You have to make sure that number is divisible by the no. of samples. The second expression used for the Length output is only a scaling factor (my guess), to control the height of the fitness landscape drawing.
Cheers…
on for curves, if you make an algorithm that dynamically defines the possition of the controlpoints for NURBS curves as a function of the parameteres in F(t, a1,...,b1,...,c1,...)= x(t, a1, a2...)+y(t, b1, b2...)+ z(t, c1, c2...) or F(x, a, b ,c...)?
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