search for: kyth

Displaying 4 results from an estimated 4 matches for "kyth".

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2016 Mar 10
3
announcing an *early preview* of a cross-referencing code search website for LLVM
...ething similar for llvm. You can search the full text of the llvm/clang/lld/lldb repositories using regular expressions, search for declarations (which are prioritized above full-text results), and follow cross references between definitions and references. The code behind this website is based on kythe [1] (Kythe itself uses the clang libraries to parse C++ code) and Russ Cox's codesearch [2] library. I'm planning to open source it and contribute it to the kythe project. Thanks, -- Peter [1] http://kythe.io/ [2] https://github.com/google/codesearch -------------- next part -----------...
2006 Jun 02
1
Multivariate skew-t cdf
Dear All, I am using the pmst function from the sn package (version 0.4-0). After inserting the example from the help page, I get non-trivial answers, so everything is fine. However, when I try to extend it to higher dimension: xi <- alpha <- x <- rep(0,27) Omega <- diag(0,27) p1 <- pmst(x, xi, Omega, alpha, df = 5) I get the following result: >p1 [1] 0 attr(,"error")
2006 May 05
0
Spline integration & Gaussian quadrature (was: gauss.quad.prob)
...r the uniform > distribution, it is called Gauss-Legendre. For the gamma > distribution (including exponential as a special case), the > integral is from 0 to Inf, and it's called Gauss-Laguerre. > Recent references that I found useful for this are the following: > > Kythe and Schaeferkotter (2005) Handbook of > Computational Methods for Integration (Chapman and Hall) > > Evans and Schwartz (2000) Approximating Integrals via > Monte Carlo and Deterministic Methods. > > In theory, one could use Gauss-Jacobi on any finite > interval, Ga...
2006 Apr 28
1
gauss.quad.prob
I've written a series of functions that evaluates an integral from -inf to a or b to +inf using equally spaced quadrature points along a normal distribution from -10 to +10 moving in increments of .01. These functions are working and give very good approximations, but I think they are computationally wasteful as I am evaluating the function at *many* points. Instead, I would prefer to use