search for: algebra

...fdp.percentage_calc_foundation 148 FALSE 03/01/2013 11:24 03/01/2013 213877 fdp.percentage_calc_foundation 69 FALSE 03/01/2013 11:24 03/01/2013 213878 fdp.percentage_calc_foundation 61 TRUE 03/01/2013 11:24 03/01/2013 213878 fdp.percentage_calc_foundation 11 TRUE 03/01/2013 11:24 03/01/2013 213879 algebra.core.formulae 134 TRUE 03/01/2013 11:24 03/01/2013 213881 fdp.percentage_calc_foundation 63 TRUE 03/01/2013 11:24 03/01/2013 213886 fdp.percentage_calc_foundation 40 TRUE 03/01/2013 11:24 03/01/2013 213887 algebra.core.formulae 68 TRUE 03/01/2013 11:24 03/01/2013 213898 fdp.percentage_calc_foundati...

Hello, the following is a part of a question asked on R-help. I realized that it is better suited for asking here. Apologies for the cross-posting! I'm on Ubuntu artful, and upgraded with 'apt'. Then ---------------------------------------------------------------- goran at M6800:~/src/R-3.4.3$ /usr/bin/R /usr/lib/R/bin/exec/R: symbol lookup error:

...------------------------- > | > | Never seen this before. What can I do? > > At home: > > edd at bud:~$ COLUMNS=70 dpkg -l | grep blas > ii libblas-common 3.7.0-1 amd64 Dependency package for all BLAS i > ii libblas-dev 3.7.0-1 amd64 Basic Linear Algebra Subroutines > ii libblas3 3.7.0-1 amd64 Basic Linear Algebra Reference im > ii libopenblas-ba 0.2.19-2 amd64 Optimized BLAS (linear algebra) l > edd at bud:~$ > > At work: > ........ at .....:~$ COLUMNS=70 dpkg -l | grep blas > ii libblas-common...

Hi there, On 1 December 2017 at 23:24, G?ran Brostr?m wrote: | Dirk, | | thanks for your help. At work I have (ubuntu 16.04): | | ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for | all BLAS implementations | ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra | Subroutines 3, static library | ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear Algebra | Reference implementations, shared library | | and everything works before and after upgrading (/usr/bin/R). However, | at home (ubuntu 17.10): | | goran at M6800:~$ dpkg -l | grep blas | ii...

Dear all, I am estimating a mixed-model in Ubuntu Raring (13.04¸ amd64), with the code: fm0 <- lme(rt ~ run + group * stim * cond, random=list( subj=pdSymm(~ 1 + run), subj=pdSymm(~ 0 + stim)), data=mydat1) When I check the approximate variance-covariance matrix, I get: > fm0$apVar [1] "Non-positive definite

Dirk, thanks for your help. At work I have (ubuntu 16.04): ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for all BLAS implementations ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra Subroutines 3, static library ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear Algebra Reference implementations, shared library and everything works before and after upgrading (/usr/bin/R). However, at home (ubuntu 17.10): goran at M6800:~$ dpkg -l | grep blas ii libblas-dev:amd6...

...(i am omitting some of the details leading to the scalar), where L is the unknown rate. it will be necessary for addition and multiplication operations (among others) to make sense for the class. i haven't found R to be particularly accommodating of this type of problem, in particular of the algebraic computations necessary to make addition and multiplication work. my best thought so far was to have one slot in the representation be an expression object that would evaluate to a numeric cash object, if the evaluation were to take place in an environment where all the variables were ultimately...

I needed a symbolic and algebraic computation software. The best solution I've found so far is maxima computer algebra system. I was wondering if there is any R package that has similar features as maxima's or somebody could point me to reference manuals on how to use R for this purpose. Thanks, Angel

Dear all, I wanted to create the mean using a algebra matrix. so I tried this one: > meanAnimals <- new3%*%factorial (Calculates the matrix multiplication of the new3 * factorial). But I get the following error message: Error in new3 %*% factorial : non-conformable arguments These are my matrices: > new3 [,1] [,2] [1,...

...ync -n -i -r -l -c --checksum-seed=1 --delete ./ $SERVER:/storage/vhosts/$DOMAIN/dev/www.NEW | grep -v '<f\.\.T\.\.\.\.\.\.' <fcsT...... config.php <fc.T...... filter/activitynames/filter.php <fc.T...... filter/activitynames/lang/en/filter_activitynames.php <fc.T...... filter/algebra/AlgParser.pm <fc.T...... filter/algebra/algebra2tex.pl <fc.T...... filter/algebra/algebradebug.php <fc.T...... filter/algebra/filter.php <fc.T...... filter/algebra/pix.php <fc.T...... filter/algebra/lang/en/filter_algebra.php <fc.T...... filter/censor/filter.php <fc.T...... fil...

...would have to be in order to for that value to be either greater than x bar_t+1 plus Z*sigma_t+1 or less than x bar_t+1 plus minus Z*sigma_t+1. where Z is whatever constant ? I started to try to figure this out but the data window changes and the x bar is in the formula for sigma so the algebra got overwhelming but I was never an algebra whiz. thanks. -------------------------------------------------------- This is not an offer (or solicitation of an offer) to buy/se...{{dropped}}

>From time to time people request symbolic computations beyond what D() and deriv() etc can provide. A brief look at the internet shows that there are many more or less developed computer algebra packages freely available. Therefore, I wondered if it would be an idea to try to 'integrate' one of these packages in R, which I guess can be done in more or less elegant ways... I do not know any of the computer algebra people around the World, but perhaps some other people from the R-com...

...observations. ie. stock prices I wish to convert the matrix of observations to a matrix of simple returns (by taking the differences between (column) observations.) Can any good soul suggest a function for this? -- View this message in context: http://r.789695.n4.nabble.com/R-beginner-matrix-algebra-tp4653335.html Sent from the R help mailing list archive at Nabble.com.

Hi, I'd like to install the optimized libraries on my Thinkpad with an Intel Core Solo chip, which apparently supports the following instruction sets: MMX, SSE, SSE2, SSE3 instruction sets, XD-Bit. In a recent r-help message, the following was said (by Dirk I think): <quote> Yes, on Ubuntu, use 'apt-get install atlas3-base' for basic tuned Atlas, or 'apt-get install

On Fri, Oct 14, 2016 at 6:10 PM, Hal Finkel <hfinkel at anl.gov> wrote: >> polybench/linear-algebra/kernels/symm, FP_ABSTOLERANCE=1e1 >> polybench/linear-algebra/solvers/gramschmidt, FP_ABSTOLERANCE=1e0 >> What should be a good relative tolerance to set for these two tests? > > What's the minimum relative tolerance that you need for them to pass? Setting FP_ABSTOLERANCE=1e-...

Hi all, I have a large set of descriptors, which are stored as the vectors, each one containing about 450 elements. Now I have to perform some algebraical operations on this set to eliminate the redundant ones. The problem is, that not all vales in the vectors are known. Are there any norm defined how should I process such vectors? Simple example: having two vectors: a b 3 4 2 null 3 6 I can imagine that a+b is [7 null 9]...

Dear R-users, would it be a better way to construct the matrix below without using any for-loop or model.matrix? preferably with some matrix algebra? Thanks in advance, Carlo Giovanni Camarda ## dimensions m <- 3 n <- 4 mn <- m*n k <- m+n-1 ## with a for-loop X <- matrix(0, mn, k) for(i in 1:n){ wr <- 1:m+(i-1)*m wc <- rev(1:m+(i-1)) where <- cbind(wr,wc) X[where] <- 1 } ## using model.matrix ff <- fac...

Dear all, I'm currently working on converting mathematica code (https://github.com/ASDSE/thermosimfit/blob/master/Packages/thermoHD-Comp/thermoCacheHD-1Comp.m) to R. The code is related to solve algebraic systems. > eqthermo = {h0 == h + hd + hga, d0 == d + hd, ga0 == ga + hga, kga == > ???? hga / (h * ga), kd == hd / (h * d)}; > > (* IDA HD*) > sthdIDAcacheHD[fkd_, fkga_, fh0_, fd0_] :=? sthdIDAcacheHD[fkd, fkga, > fh0, fd0] = > ?? ??? ?? ??? ?Module[{eliHD, solvHD}, > ?...

...lize the potential of the LLVM project. At the core of CasADi are two fast interpretors for mathematical expressions and I'm now planning to complement these with JIT-compilation using LLVM. Does anyone know if there is someone using LLVM for either automatic differentiation or (sparse) linear algebra (two of the things CasADi is capable of doing)? One thing particularly interesting would be direct sparse linear algebra. The only thing I could find was a blog entry from 2009: http://justindomke.wordpress.com/2009/11/30/automatic-differentiation-without-compromises/ Kind regards, Joel -- Joel...

...-------------------------------------------------------------- | | Never seen this before. What can I do? At home: edd at bud:~$ COLUMNS=70 dpkg -l | grep blas ii libblas-common 3.7.0-1 amd64 Dependency package for all BLAS i ii libblas-dev 3.7.0-1 amd64 Basic Linear Algebra Subroutines ii libblas3 3.7.0-1 amd64 Basic Linear Algebra Reference im ii libopenblas-ba 0.2.19-2 amd64 Optimized BLAS (linear algebra) l edd at bud:~$ At work: ........ at .....:~$ COLUMNS=70 dpkg -l | grep blas ii libblas-common 3.7.0-1 amd64 Depende...