similar to: About differential evolution

Dear users, Maybe some of you has realized computing of Correlation Integral which is used in computing BSD statistic. thanks, Raimis [[alternate HTML version deleted]]

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Hi. I'm migrating all my mail archive (some 60 GB) from Evolution (which is really a broken piece of software) into dovecot. Now I face the problem how to do this best... Evolution (which is still a old 2.32.x version) itself uses mbox files, in a special hierarchical structure to allow subfolders and that like. It also stores it's own status info in X-Evolution and X-Evolution-Source

Good evening list, I'm looking for an R implementation of the "Shuffled Complex Evolution??? (SCE-UA) algorithm after Duan et al. (1993). Does anybody know if there is an extension/ package existing that contains it? Thanks very much for your help! Cheers, Simon Duan QY, Gupta KV, Sorooshian S (1993) Shuffled Complex Evolution Approach for Effective and Efficient Global Minimization. In

On 11/9/2015 9:50 AM, Gordon Messmer wrote: > > I don't see the distinction you're making. a incremental backup copies everything since the last incremental a differential copies everything since the last full. rsync is NOT a backup system, its just a incremental file copy with the full/incremental/differential approach, a restore to a given date would need to restore the last

On 11/09/2015 08:01 AM, Alessandro Baggi wrote: > how to perform a differential backup using rsync? rsync backups are always incremental against the most recent backup (assuming you're copying to the same location). > Users says diff because it copy only differences. For me differential > is backup from last full backup. I don't see the distinction you're making. rsync

This is applicable to either using optim or the differential equation solver or any similar solver Suppose I want to use the differential equation solver and this is my code d<-y[2] vdpol<-function(t,y) { list(c(1, d, 3, 4 ) } stiff<-ode(y=rep(0,4),times=c(0,1),func=dvdpol,parms=1) The thing is I want d to be composed of one of state variables in the

On Wed, Nov 11, 2015 at 5:39 AM, Gordon Messmer <gordon.messmer at gmail.com> wrote: > On 11/10/2015 03:38 PM, J Martin Rushton wrote: >> >> That's plain bad system analysis. Read the start date, record the >> current date and THEN start processing. You will get the odd extra >> file but will not loose any. > > > That's my point.

Hello, I am trying to find the analytical solution to this differential equation dR/dt = k1*R (1-(R/Rmax)^k2); R(0) = Ro k1, k2, and Rmax are parameters that need to fitted, while Ro is the baseline value (which can be fitted or fixed). The response (R) increases initially at an exponential rate governed by the rate constant k1. Response has a S-shaped curve as a function of time and it

Hi! There are a lot of accepted but not closed revisions in Differential. Many of them were actually committed, but without Differential revision link or when it was specified in wrong way. I think will be good idea to create script which will match committed revisions with those in Differential: file list should be same and hashes of changed line could be calculated for each file. In case of

Hi, I am using package deSolve to run some ordinary differential equations (ODE) as part of a mathematical modeling project. I have solved for the following equilibrium states: Seq1<-a*(1-Neq1)/(f*Veq1+m+d) Ceq1<-(f*Seq1*Veq1+g*Ieq1+r*(1-Neq1)-b1*Veq1*Ieq1)/(b2+m+d+g) Ieq1<-(-b2*Ceq1)-r*(1-Neq1)/(b1*Veq1-g-u) Veq1<-o*(Ceq1+Ieq1)/e I want to take the differential of both sides of

CentOS Errata and Security Advisory 2009:0355 https://rhn.redhat.com/errata/RHSA-2009-0355.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/evolution-2.0.2-41.el4_7.2.s390.rpm updates/s390/RPMS/evolution-data-server-1.0.2-14.el4_7.1.s390.rpm updates/s390/RPMS/evolution-data-server-devel-1.0.2-14.el4_7.1.s390.rpm

Hi All, This is more of a general statistics question that I am not so sure about so I need some thoughts from you experts out there. I have Chip-Seq read count data for 2 different treatments (T1 and T2) and my final aim is to calculate differential expression between them. I also have Chip-Seq read count data from a "control / wild type (C)" experiment. I have 3 replicates (2

Hello everyone, I have programmed a function and, among other things, it has to compute the differential of a function. I have been using the function grad() and I have programmed some simulated studies. I have testes with 72,576 different combinations of the initial values and now I got an error in only 4 situations. The error comes from the function grad() and I don't understand why. This

CentOS Errata and Security Advisory 2009:0355 Moderate https://rhn.redhat.com/errata/RHSA-2009-0355.html The following updated files have been uploaded and are currently syncing to the mirrors: x86_64: evolution-2.0.2-41.el4_7.2.x86_64.rpm evolution-data-server-1.0.2-14.el4_7.1.i386.rpm evolution-data-server-1.0.2-14.el4_7.1.x86_64.rpm evolution-data-server-devel-1.0.2-14.el4_7.1.x86_64.rpm

Hello list I have a theoretical differential equation model (two coupled differential equations) describing the acidification of dairy cultures in milk: dX/dt = f(H, param)*X dH/dt = g(param)*dX/dt pH = -log10(H) I also have actual data of the same. I would like to estimate the parameters of the theoretical model from real data, but don't know how to go about it in R (I'm fairly new

i am trying to solve a partial differential equation analytically(PDE) in R . i have found some functions that do the stuff numerically. But that will not meet my purpose. is there any function to solve PDE analytically. please help. -- View this message in context: http://r.789695.n4.nabble.com/analytical-solution-of-partial-differential-equation-tp4291618p4291618.html Sent from the R help

CentOS Errata and Security Advisory 2009:0355 Moderate https://rhn.redhat.com/errata/RHSA-2009-0355.html The following updated files have been uploaded and are currently syncing to the mirrors: i386: evolution-2.0.2-41.el4_7.2.i386.rpm evolution-data-server-1.0.2-14.el4_7.1.i386.rpm evolution-data-server-devel-1.0.2-14.el4_7.1.i386.rpm evolution-devel-2.0.2-41.el4_7.2.i386.rpm src:

Dear All A new non-linear mixed-effects modelling package for R called nlmeODE is now available at www.cran.r-project.org and http://nlmeODE.sourceforge.net. It combines Pinheiro and Bates' NLME library in R with an ordinary differential equations (ODE) solver thereby enabling the use of differential equations in population PK/PD modelling. It includes several PK examples such as one- and