search for: limsolve

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 [[alternative HTML version deleted]]
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...