search for: sect3

Displaying 5 results from an estimated 5 matches for "sect3".

Did you mean: sect
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?