Displaying 5 results from an estimated 5 matches for "sect3".
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2008 Dec 18
1
Ploting 3D cylinder in RGL
Dear all,
I would like to draw a 3-D horizontal cylinder preferably in RGL device
(because this gives the look from different angles). Basic idea is from
http://www.tau.ac.il/cc/pages/docs/sas8/insight/chap18/sect3.htm.
Below is the description exactly what I want to do.
Please see at figure 18.6, 1st plot. Here it is an confidence ellipsoid.
Suppose now you put another 4 same ellipsoids on top of each. Therefore you
would get a cylinder type 3-D picture vertically. I do not need to plot
indiv. points rathe...
2012 Oct 19
0
[LLVMdev] Section specialization & COFF.
On Fri, Oct 19, 2012 at 2:55 AM, r4start <r4start at gmail.com> wrote:
> Hi all.
>
> While compiling next code
> @A = weak unnamed_addr constant { i32, i32, i32 } { i32 0, i32 0, i32 0 },
> section ".data"
> was discovered that llc ignores weak linkage if we emit it in COFF object.
> Attached patch solves this problem, please review.
>
> I found some
2012 Oct 19
2
[LLVMdev] Section specialization & COFF.
Hi all.
While compiling next code
@A = weak unnamed_addr constant { i32, i32, i32 } { i32 0, i32 0, i32 0
}, section ".data"
was discovered that llc ignores weak linkage if we emit it in COFF object.
Attached patch solves this problem, please review.
I found some similar tests in test/Objects/Inputs. Should I do something
like trivial.ll checking or there is a better way
to check
2012 Oct 22
2
[LLVMdev] Section specialization & COFF.
...Static | @feat.00
002 00000000 SECT1 notype Static | .drectve
Section length 2F, #relocs 0, #linenums 0, checksum 0
004 00000000 SECT2 notype Static | .debug$S
Section length 64, #relocs 0, #linenums 0, checksum 0
006 00000000 SECT3 notype Static | .xdata
Section length 4, #relocs 0, #linenums 0, checksum 242A58A8, selection 2 (pick any)
008 00000000 SECT3 notype External | _aaa
String Table Size = 0x0 bytes
Summary
64 .debug$S
2F .drectve
4 .xdata
---...
2004 Aug 18
6
paired t-test vs pairwise t-test
What's the difference between t.test(x, y) and pairwise.t.test()? Is it just
that the former takes two vectors, whereas the latter takes a vector and a
factor?