Displaying 20 results from an estimated 1002 matches for "gradient".
2007 Dec 03
0
12 commits - libswfdec/Makefile.am libswfdec/swfdec_as_strings.c libswfdec/swfdec_as_types.c libswfdec/swfdec_as_types.h libswfdec/swfdec_gradient_pattern.c libswfdec/swfdec_gradient_pattern.h libswfdec/swfdec_movie_as_drawing.c libswfdec/swfdec_pattern.c
libswfdec/Makefile.am | 2
libswfdec/swfdec_as_strings.c | 17 +
libswfdec/swfdec_as_types.c | 16 +
libswfdec/swfdec_as_types.h | 2
libswfdec/swfdec_gradient_pattern.c | 129 +++++++++++++++
libswfdec/swfdec_gradient_pattern.h | 67 +++++++
libswfdec/swfdec_movie_as_drawing.c | 172 +++++++++++++++++++-
libswfdec/swfdec_pattern.c | 123 --------------
test/image/Makefile.am...
2011 Aug 29
3
gradient function in OPTIMX
...r, when I use OPTIMX with BFGS( or spg), I've got the
following an error message.
----------------------------------------------------------------------------------------------------
> optimx(par=theta0, fn=obj.fy, gr=gr.fy, method="BFGS",
> control=list(maxit=10000))
Error: Gradient function might be wrong - check it!
----------------------------------------------------------------------------------------------------
I checked and checked my gradient function line by line. I could not find
anything wrong.
Is it a bug or something? I prefer OPTIMX, so I'd like to know...
2011 Jul 06
1
gradient generation
Dear R-help subscribers;
I have a question regarding making gradients in R. I've searched on the
web, but was only able to find functions that make a gradient between
color X and Y, which is not what I want.
I want to 'pick out' individual, smaller pieces of a gradient based on a
range of numbers. Say that I have a range of numbers, leading from 0 to...
2009 Nov 29
1
optim or nlminb for minimization, which to believe?
I have constructed the function mml2 (below) based on the likelihood function described in the minimal latex I have pasted below for anyone who wants to look at it. This function finds parameter estimates for a basic Rasch (IRT) model. Using the function without the gradient, using either nlminb or optim returns the correct parameter estimates and, in the case of optim, the correct standard errors.
By correct, I mean they match another software program as well as the rasch() function in the ltm package.
Now, when I pass the gradient to optim, I get a message of succe...
2011 Nov 30
1
How can I pick a matrix from a function? (Out Product of Gradient)
Hi all,
I would like to use optim() to estimate the equation by the log-likelihood
function and gradient function which I had written. I try to use OPG(Out
Product of Gradient) to calculate the Hessian matrix since sometime Hessian
matrix is difficult to calculate. Thus I want to pick the Gradient matrix
from the gradient function.
Moreover, could R show the process of calculation on gradient functio...
2007 Sep 17
4
graphs with gradients of colors
Hi All,
I would like to fill the area under a curve with a gradient of colors. Are there any packages or trick I could use
Thanks
Stefan
Stefan Van Dongen
Antwerp
[[alternative HTML version deleted]]
2005 Aug 04
4
optim
Dear R-helpers,
The function optim implements algorithms that I would like to use.
I have function implemented in R, which given the parameters of which
minimization is to take place returns a scalar as well as the gradient.
Unfortunately optim requires two function _fn_ and _gr_ where fn returns the
function value and gr the gradient. Splitting my function in two functions
would be easy, however I am wondering if evaluating both is not doubling the
the very high computational costs. Most of the computational inte...
2009 Jun 25
3
grid.polygon() + color gradient
Hi,
I wonder whether there is a way to generate a polygon (a triangle in
my case) with color gradient using grid.polygon() in package grid?
I tried something like
library(grid)
grid.polygon(x=c(0, 0.5, 1), y=c(0.5, 1, 0.5), gp=gpar(col=NA,
fill=colorRampPalette(c("green", "lightgray"),
space="Lab")(200)))
But am only getting...
2011 May 03
3
help with the maxBHHH routine
Hello R community,
I have been using R's inbuilt maximum likelihood functions, for the
different methods (NR, BFGS, etc).
I have figured out how to use all of them except the maxBHHH function. This
one is different from the others as it requires an observation level
gradient.
I am using the following syntax:
maxBHHH(logLik,grad=nuGradient,finalHessian="BHHH",start=prm,iterlim=2)
where logLik is the likelihood function and returns a vector of observation
level likelihoods and nuGradient is a function that returns a matrix with
each row corresponding to a si...
2006 Oct 06
3
is it possible to fill with a color or transparency gradient?
Hi all,
Is there a way to fill a rectangle or polygon with a color and/or
transparency gradient? This would be extremely useful for me in terms
of adding some additional information to some plots I'm making,
especially if I could define the gradient on my own by putting
functions into rgb something like rgb( r=f(x,y), g=f(x,y), b=f(x,y),
alpha=f(x,y) ). Not so important whether the coor...
2008 Apr 22
2
optimization and gradient
Dear all,
I am using the functions 'optim' and 'nlminb'. For both, you can provide
a function which computes the gradient of the objective function (to
enhance speed and precision). In my case, both the objective function
and the gradient take time to be computed and share many common
computations (similar matrix, products, etc...). Therefore, I have to
compute these quantities twice which slows down the procedure...
2003 Jan 17
1
supplying gradient to constrOptim()
Hi, I'm very interested in using the constrOptim() function currently in
the R-devel sources. In particular, I'm trying to fit point process
conditional intensity models via maximum likelihood. However, I noticed
that the gradient of the objective function must be supplied for all but
the Nelder-Mead method. I was wondering why this was because optim()
itself does not require a gradient function for the BFGS or Conjugate
Gradient methods.
Thanks,
-roger
_______________________________
UCLA Department of Statistics
rpeng@s...
2008 Mar 28
1
Singular Gradient in nls
//Referring to the response posted many years ago, copied below, what
is the specific criterium used for singularity of the gradient matrix?
Is a Singular Value Decomposition used to determine the singular
values? Is it the gradient matrix condition number or some other
criterion for determining singularity?
//
//Glenn
//
/
/
/> What does the error 'singular gradient' mean during a nonlinear
regression? /
T...
2011 Aug 29
0
Error: Gradient function might be wrong ----- in OPTIMX
Dear R users
When I use OPTIMX with BFGS, I've got the following error message.
-----------------------------------------------------------------
> optimx(par=theta0, fn=obj.fy, gr=gr.fy, method="BFGS")
Error: Gradient function might be wrong - check it!
-----------------------------------------------------------------
So, I checked and checked my gradient function line by line. However, I
could not find anything wrong.
When I remove the gradient, I've got
----------------------------------------------...
2004 Mar 29
1
calculate length of gradient ?
...tests=MSGID_FROM_MTA_HEADER,RCVD_IN_BL_SPAMCOP_NET autolearn=no version=2.63
Dear r-help list,
my question is about ordination technics:
To decide using a linear model response or a unimodal model response,
in Canoco (software for ordination technics)
you can calculate a so-called "length of gradient".
(from Canoco Help file:)
> The length of gradient is a measure of how unimodal the species
> responses are along an ordination axis. It is the range of the
> sample scores divided by the average within-species standard
> deviation along the axis. The gradient length is expressed...
2013 Mar 14
2
question about nls
Hi,all:
I met a problem of nls.
My data:
x y
60 0.8
80 6.5
100 20.5
120 45.9
I want to fit exp curve of data.
My code:
> nls(y ~ exp(a + b*x)+d,start=list(a=0,b=0,d=1))
Error in nlsModel(formula, mf, start, wts) :
singular gradient matrix at initial parameter estimates
I can't find out the reason for the error.
Any suggesions are welcome.
Many thanks.
[[alternative HTML version deleted]]
2003 Mar 27
1
How to obtain final gradient estimation from optim
I use optim to compute maximum likelihood estimations without giving an
analytical gradient to optim. However, I would like to
get an output of the final numerical gradient vector and the final matrix of
contributions to the gradient. But I did not
find any mention of this kind of output in help pages. Does anyone know how to
do that ?
Stephane Luchini
GREQAM
Marseille, France
2013 Jun 11
2
How can we access an element in a structure
Hi,
I have a structure, which is the result of a function
How can I access the elements in the gradient?
> dput(test1)
structure(-1.17782911684913, gradient = structure(c(-0.0571065371783791,
-0.144708170683529), .Dim = 1:2, .Dimnames = list(NULL, c("x1",
"x2"))))
> test1[[1]]
[1] -1.177829
> test1
[1] -1.177829
attr(,"gradient")
x1 x2
[1,...
2006 Sep 29
1
linear gradient in nls
Hello,
I hope this doesn't turn into a statistics question but here I
go. I am using the nls function with a Gaussian distribution, see coding
below. When I run the nls I get an error back saying that I have a linear
gradient. I then, of course am unable to do anything else. The data that I
am using are intensity values from some mass spectrometry data. Is there
something I can do to stop the linear gradient, and I dare to ask why am I
getting a linear gradient. I apologies if I haven't supplied enough
information o...
2005 Apr 23
1
start values for nls() that don't yield singular gradients?
..., 17, 18, 19) # arbitrary example data here;
y <- c(0.1, 1.8, 2.2, 2.6, 2.9) # actual data is similar
gm <- nls(y ~ a+b*exp(-exp(-c*(x-d))), start=c(a=?, b=?, c=?, d=?))
I have been unable to properly set the starting value '?'s. All of
my guesses yield either a "singular gradient" error if they are
decent guesses, or a "singular gradient matrix at initial parameter
estimates" error if they are bad guesses like all zeros.
How can I pick starting values that don't result in singular gradients?
I have had no luck with the "selfStart" models, e.g....