Displaying 12 results from an estimated 12 matches for "limsolve".
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2010 Feb 16
0
Help with lsei() from package limSolve()
...ion) while (ii)
achieving a new mean and max...
Having researched constrained optimization in R and having read the
"CRAN Task View: Optimization and Mathematical Programming" document
(http://cran.r-project.org/web/views/Optimization.html), I have been
experimenting with lsei() from the limSolve package. I have worked
through the simple examples in the limSolve user manual, but am
struggling to correctly set up and solve my problem.
My questions to anyone experienced in solving such problems and/or
with using lsei are the following:
- Do you think lsei() is the best function to use to so...
2014 Dec 17
2
optimización - resolver sistema - general
Estimados
Reailizo una pregunta general, casi desconociendo. Se me ocurrió
explorar lo siguiente: hay ejemplos de programación lineal o utilizando
la herramienta solver de excel, donde se realizan algunos cálculos, lo
más sencillo de comprender y documentado (todos lados) es una cantidad
de productos, un costo de compra, un costo de venta, una cantidad para
invertir y ¿cuánto me conviene
2014 Dec 17
2
optimización - resolver sistema - general
...ico) escrito en FORTRAN con muy buenos resultados.
Si alguien quiere probar a implementarlo en R puede contactar conmigo...
El 17/12/2014 3:43, "Marcuzzi, Javier Rubén" escribió:
> Algo m?s concreto en R porque creo que no me explico correctamente:
>
> Por ejemplo, la librer?a limSolve, en la p?gina 4 del manual tiene:
>
> Blending
> A linear inverse blending problem
>
> El sitio web es:
> http://cran.r-project.org/web/packages/limSolve/limSolve.pdf
>
> El ejemplo en R est? "bueno", pero yo no soy matem?tico ni estad?stico,
> soy veterinario,...
2012 Oct 19
2
Which package/function for solving weighted linear least squares with inequality and equality constraints?
Dear All,
Which package/function could i use to solve following linear least square
problem?
A over determined system of linear equations is given. The nnls-function may
would be a possibility BUT:
The solving is constrained with
a inequality that all unknowns are >= 0
and a equality that the sum of all unknowns is 1
The influence of the equations according to the solving process is
2009 Dec 04
2
Solve linear program without objective function
Dear R-users,
i try to solve to following linear programm in R
0 * x_1 + 2/3 * x_2 + 1/3 * x_3 + 1/3 * x_4 = 0.3
x_1 + x_2 + x_3 + x_4 = 1
x_1, x_2, x_3, x_4 > 0,
x_1, x_2, x_3, x_4 < 1
as you can see i have no objective function here besides that i use the
following code.
library(lpSolve)
f.obj<-c(1,1,1,1)
f.con<-matrix(c(0,2/3,1/3,1/3,
1,1,1,1,
2008 May 28
2
Linear Programming.
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2012 Oct 24
1
equation solver
Hi,
I'm Pina and I'm a student in geology. I'm working with spectral profile of
sand and I have to find the similarity between one spectral profile selected
by hyperspectral image anche one that I created to mix different percentage
of 4 mineral component. I have to find the best mix of percentage of this 4
mineral in order to have the best likeness with the spectral profile chose
by
2013 Apr 09
1
Solving tridiagonal matrix in R
Dear R Users,
I am trying to solve a tridiagonal matrix in R. I am wondering if there is
an inbuilt R function or package to solve that. I tried looking on google
but couldn't find something that would help directly. Any help is highly
appreciated.
Thanks.
Janesh
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2011 Dec 19
2
Constrained Optimisation
Dear All
I have a constrained optimisation problem, I want to maximise the following
function
t(weights) %*% CovarianceMatrix %*% weights
for the weights,
subject to constraints on each element within the weights & the weights
vector summing to 1.
i.e.
weights = (x1, x2, x3), where x1 is within some given range (a +b, a - b).
I have tried to do this using the optim function in R,
2009 May 26
2
Linear Regression with Constraints
Hi!
I am a bit new to R.
I am looking for the right function to use for a multiple regression problem
of the form:
y = c1 + x1 + (c2 * x2) - (c3 * x3)
Where c1, c2, and c3 are the desired regression coefficients that are
subject to the following constraints:
0.0 < c2 < 1.0, and
0.0 < c3 < 1.0
y, x1, x2, and x3 are observed data.
I have a total of 6 rows of data in a data set.
Is
2012 Apr 15
6
CRAN (and crantastic) updates this week
CRAN (and crantastic) updates this week
New packages
------------
* disclapmix (0.1)
Maintainer: Mikkel Meyer Andersen
Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen
License: GPL-2
http://crantastic.org/packages/disclapmix
disclapmix makes inference in a mixture of Discrete Laplace
distributions using the EM algorithm.
* EstSimPDMP (1.1)
Maintainer: Unknown
Author(s):
2010 Jul 18
6
CRAN (and crantastic) updates this week
....2.1), ismev (1.35), isopam (0.9-8),
kernlab (0.9-10), kmi (0.3-3), kml (1.1.2), ks (1.6.13), kza (1.03.1),
languageR (1.0), lasso2 (1.2-11), latentnet (2.3-0), lattice (0.18-8),
latticedl (1.1), latticeExtra (0.6-11), latticist (0.9-43), lda
(1.2.1), ldDesign (1.2-0), lemma (1.3-1), lgtdl (1.1.1), limSolve
(1.5.2), linprog (0.9-0), lme4 (0.999375-34), logging (0.4-42),
logistf (1.10), longitudinalData (0.6.5), lordif (0.1-5), ltm (0.9-4),
maanova (1.18.0), MAc (1.1), MAd (0.8), mapdata (2.1-3), maps (2.1-4),
maptools (0.7-34), marelac (2.1), MASS (7.3-7), Matrix (0.999375-42),
matrixStats (0.2.1), ma...