[R-br] [OFF] Biblioteca C para matrizes.
Pedro Rafael
pedro.rafael.marinho em gmail.com
Domingo Agosto 12 22:34:22 BRT 2012
Valeu Benilton. O problema da compilação n ocorre. Possivelmente as
bibliotecas necessárias estão instaladas. Ocorre erro na hora de
executar o programa. O erro é:
error: det(): use of ATLAS or LAPACK needs to be enabled
terminate called after throwing an instance of 'std::logic_error'
what():
Abortado (imagem do núcleo gravada)
[ ],
Pedro Rafael Diniz Marinho.
Em 12 de agosto de 2012 22:29, beniltoncarvalho [via R-br]
<ml-node+s2285057n4655843h10 em n4.nabble.com> escreveu:
> auto correct fail
>
> -llapack -lblas
>
> Sent from a mobile device
>
> On Aug 13, 2012 2:11 AM, "Pedro Rafael" <[hidden email]> wrote:
>>
>> Olá Benilton, como vai? O programa que estou testando é bem simples.
>> Na verdade a matriz é pequena, 5 por 5. Veja:
>>
>> #include<iostream>
>> #include"armadillo"
>>
>> using namespace arma;
>>
>> int main()
>> {
>> mat A = randu<mat>(5,5);
>> double x = det(A);
>> return 0;
>> }
>>
>> Compilei como você me indicou e obtive o seguinte erro.
>>
>> /usr/include/armadillo_bits/compiler_setup.hpp:117:6: warning:
>> #warning "*** Detected GCC 4.7.0 / 4.7.1, which has a regression
>> (bug)" [-Wcpp]
>> /usr/include/armadillo_bits/compiler_setup.hpp:118:6: warning:
>> #warning "*** See http://gcc.gnu.org/bugzilla/show_bug.cgi?id=53549
>> " [-Wcpp]
>> /usr/include/armadillo_bits/compiler_setup.hpp:119:6: warning:
>> #warning "*** A partial workaround for the bug has been activated,
>> " [-Wcpp]
>> /usr/include/armadillo_bits/compiler_setup.hpp:120:6: warning:
>> #warning "*** which reduces some functionality in fixed-size matrices
>> " [-Wcpp]
>> /usr/bin/ld: cannot find -lapack
>> collect2: error: ld returned 1 exit status
>>
>>
>> [ ],
>> Pedro Rafael Diniz Marinho.
>> Em 12 de agosto de 2012 22:06, beniltoncarvalho [via R-br]
>> <[hidden email]> escreveu:
>>
>> > Vc precisa linkar p lapack blas
>> >
>> > g++ -O2 -lapack -lblas programa.cpp
>> >
>> > Obvio, não testado. Adicionalmente, p matriz grande vc deveria usar
>> > log_det.
>> >
>> > Sent from a mobile device
>> >
>> > On Aug 13, 2012 12:44 AM, "Pedro Rafael" <[hidden email]> wrote:
>> >>
>> >> Pessoal estou tendo um problema com a biblioteca armadillo no linux
>> >> fedora. Quando vou calcular o determinante de uma matriz muito pequena
>> >> funciona mas quando a minha matriz é grande ocorre o seguinte erro:
>> >>
>> >> error: det(): use of ATLAS or LAPACK needs to be enabled
>> >>
>> >> Já instalei as bibliotecas cmake, blas-devel, lapack-devel,
>> >> atlas-devel, boost-devel mas o erro permanece. Alguém já teve isso ou
>> >> poderia dar uma dica de como corrigir esse problema?
>> >>
>> >> Obrigado,
>> >> Pedro Rafael Diniz Marinho.
>> >>
>> >>
>> >> Em 10 de agosto de 2012 23:58, Pedro Rafael
>> >> <[hidden email]> escreveu:
>> >>
>> >> > Não compreendi os exemplos. Vou dar uma lida maior e buscar mais
>> >> > coisas
>> >> > na net.
>> >> >
>> >> > Obrigado,
>> >> > Pedro Rafael Diniz Marinho.
>> >> >
>> >> >
>> >> > Em 10 de agosto de 2012 23:04, beniltoncarvalho [via R-br]
>> >> > <[hidden email]> escreveu:
>> >>
>> >> >> No básico do basico... Envolva sua função em um extern. Dai use o
>> >> >> .Call
>> >> >>
>> >> >> Sent from a mobile device
>> >> >>
>> >> >> On Aug 11, 2012 2:42 AM, "Pedro Rafael" <[hidden email]> wrote:
>> >> >>>
>> >> >>> Interessante. Com o comando RcppArmadillo.package.skeleton é
>> >> >>> possível
>> >> >>> criar a estrutura de diretórios de um pacote R. Digamos que eu
>> >> >>> tenha
>> >> >>> um código C++ e queria arrumar ele para fazer um pacote para o R.
>> >> >>> Eu
>> >> >>> queria entender como se da essa comunicação. Só a filosofia mesmo.
>> >> >>> Eu
>> >> >>> entendo como criar um pacote do R utilizando o sistema de
>> >> >>> orientação à
>> >> >>> objeto S3 e sei que existe outras como S4 e R5. O que não consigo
>> >> >>> entender bem é como comunicar o código C/C++ com o R e como se dá a
>> >> >>> comunicação desses códigos (C/C++) com o R. Vi que posso chamar
>> >> >>> códigos do R para o C++ mas acho que o mais interessante é o
>> >> >>> contrário. Como chamar um código otimizado de C++ para R e criar
>> >> >>> um
>> >> >>> pacote caso seja conveniente. Alguém poderia me dar um exemplo com
>> >> >>> uma
>> >> >>> função bem simplória só para entender por alto como funciona?
>> >> >>>
>> >> >>> Obrigado,
>> >> >>> Pedro Rafael Diniz Marinho.
>> >> >>>
>> >> >>>
>> >> >>> Em 10 de agosto de 2012 22:23, beniltoncarvalho [via R-br]
>> >> >>> <[hidden email]> escreveu:
>> >> >>>
>> >> >>> > Sim. Mas antes de qualquer coisa, veja o pacote RcppArmadillo e
>> >> >>> > os
>> >> >>> > documentos de ajuda associados. b
>> >> >>> >
>> >> >>> > 2012/8/11 Pedro Rafael <[hidden email]>:
>> >> >>> >
>> >> >>> >> Uma última dúvida. É fácil integrar códigos C++ com o R?
>> >> >>> >> Utilizei
>> >> >>> >> as
>> >> >>> >> funções .C() e .Call() para chamar comandos em C para R. Nunca
>> >> >>> >> tentei
>> >> >>> >> utilizando C++. A construção de pacotes R feitos utilizando
>> >> >>> >> funções
>> >> >>> >> escritas em C++ também é tranquila?
>> >> >>> >>
>> >> >>> >>
>> >> >>> >> Obrigado,
>> >> >>> >> Pedro Rafael Diniz Marinho.
>> >> >>> >>
>> >> >>> >>
>> >> >>> >> Em 10 de agosto de 2012 22:04, Pedro Rafael
>> >> >>> >> <[hidden email]> escreveu:
>> >> >>> >>> Que legal Benilton, vou olhar bem esse pacote. Muito obrigado
>> >> >>> >>> pelas
>> >> >>> >>> informações. Vou brincar um pouco com esse pacote. Procurei na
>> >> >>> >>> web
>> >> >>> >>> outros pacotes de álgebra linear para C++ mas me parece que
>> >> >>> >>> esse é
>> >> >>> >>> o
>> >> >>> >>> pacote livre mais completo.
>> >> >>> >>> [ ],
>> >> >>> >>> Pedro Rafael Diniz Marinho.
>> >> >>> >>>
>> >> >>> >>>
>> >> >>> >>> Em 10 de agosto de 2012 21:31, beniltoncarvalho [via R-br]
>> >> >>> >>> <[hidden email]> escreveu:
>> >> >>> >>>> Se vc gostou do Armadillo, divirta-se com o pacote
>> >> >>> >>>> RcppArmadillo.
>> >> >>> >>>> b
>> >> >>> >>>>
>> >> >>> >>>> 2012/8/11 Pedro Rafael <[hidden email]>:
>> >> >>> >>>>
>> >> >>> >>>>> Obrigado Prof. Paulo pela informação, me ajudou bastante. Eu
>> >> >>> >>>>> gostei
>> >> >>> >>>>> muito Benilton da biblioteca de álgebra linear "armadillo".
>> >> >>> >>>>> Muito
>> >> >>> >>>>> mais
>> >> >>> >>>>> fácil que a GSL. Eu acho desorganizado os códigos C. O
>> >> >>> >>>>> problema
>> >> >>> >>>>> que
>> >> >>> >>>>> quando escrevo algum código matemático em C++ sempre tem uma
>> >> >>> >>>>> estrutura
>> >> >>> >>>>> procedural, deve ser o vício que tenho do C. Acabo usando
>> >> >>> >>>>> quase
>> >> >>> >>>>> nada
>> >> >>> >>>>> de Classes, Heranças, Polimorfismo, etc. Contudo, acho
>> >> >>> >>>>> interessante
>> >> >>> >>>>> a
>> >> >>> >>>>> facilidade de se trabalhar com vetores, matrizes e alocação
>> >> >>> >>>>> dinâmica
>> >> >>> >>>>> utilizando C++.
>> >> >>> >>>>> [ ],
>> >> >>> >>>>> Pedro Rafael Diniz Marinho.
>> >> >>> >>>>>
>> >> >>> >>>>>
>> >> >>> >>>>> Em 10 de agosto de 2012 20:28, beniltoncarvalho [via R-br]
>> >> >>> >>>>> <[hidden email]> escreveu:
>> >> >>> >>>>>> Pedro,
>> >> >>> >>>>>>
>> >> >>> >>>>>> Há muito deixei de procurar 'a linguagem mais <escolha o
>> >> >>> >>>>>> adjetivo>
>> >> >>> >>>>>> para <escolha a tarefa>'. Fico contente em usar qualquer
>> >> >>> >>>>>> linguagem
>> >> >>> >>>>>> que
>> >> >>> >>>>>> se mostre util e nao me force a reinventar a roda. Dito
>> >> >>> >>>>>> isso,
>> >> >>> >>>>>> nao
>> >> >>> >>>>>> vejo
>> >> >>> >>>>>> la essas diferencas entre C ou C++. E' obvio que algum
>> >> >>> >>>>>> especialista
>> >> >>> >>>>>> em
>> >> >>> >>>>>> alguma delas encontrara' inumeros casos que servem de
>> >> >>> >>>>>> contra-exemplo;
>> >> >>> >>>>>> mas enqto ele faz isso, eu sigo adiante resolvendo outros
>> >> >>> >>>>>> problemas.
>> >> >>> >>>>>>
>> >> >>> >>>>>> b
>> >> >>> >>>>>>
>> >> >>> >>>>>> 2012/8/10 Paulo Justiniano <[hidden email]>:
>> >> >>> >>>>>>
>> >> >>> >>>>>>> Pedro
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> quando se diz em evitar inverter matrizes é porque muitas
>> >> >>> >>>>>>> contas
>> >> >>> >>>>>>> podem
>> >> >>> >>>>>>> ser
>> >> >>> >>>>>>> feitas sem a inversao explícita
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> Por exemplo, a conta
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> X'V^{-1}X
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> pode ser feita evitando inversao a partir da cholesky de V
>> >> >>> >>>>>>> que pode ser aproveitada de calculos anteriores uma vez que
>> >> >>> >>>>>>> já
>> >> >>> >>>>>>> deve
>> >> >>> >>>>>>> ter
>> >> >>> >>>>>>> sido
>> >> >>> >>>>>>> calculada antes para obter as estimativas
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> No exemplo
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> cV <- chol(V)
>> >> >>> >>>>>>> crossprod(backsolve(cV, X, transpose=T))
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> isto é ***muito*** mais rapido (compare com system.time())
>> >> >>> >>>>>>> do que
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> t(X) %*% solve(V) %*% X
>> >> >>> >>>>>>>
>> >> >>> >>>>>>>
>> >> >>> >>>>>>>
>> >> >>> >>>>>>>
>> >> >>> >>>>>>> On Thu, 9 Aug 2012, Pedro Rafael wrote:
>> >> >>> >>>>>>>
>> >> >>> >>>>>>>> Com respeito a evitar de trabalhar com inversas de
>> >> >>> >>>>>>>> matrizes é
>> >> >>> >>>>>>>> fato
>> >> >>> >>>>>>>> mas
>> >> >>> >>>>>>>> infelizmente tenho que trabalhar. Para trabalhar com
>> >> >>> >>>>>>>> modelos
>> >> >>> >>>>>>>> de
>> >> >>> >>>>>>>> regressão heterocedásticos vou precisar de cálculo de
>> >> >>> >>>>>>>> inversas de
>> >> >>> >>>>>>>> matrizes para o cálculo da estrutura de covariância de tal
>> >> >>> >>>>>>>> estimador.
>> >> >>> >>>>>>>> [ ],
>> >> >>> >>>>>>>> Pedro Rafael Diniz Marinho.
>> >> >>> >>>>>>>>
>> >> >>> >>>>>>>>
>> >> >>> >>>>>>>> Em 9 de agosto de 2012 17:02, Pedro Rafael
>> >> >>> >>>>>>>> <[hidden email]> escreveu:
>> >> >>> >>>>>>>>>
>> >> >>> >>>>>>>>> Verdade Benilton inverter matrizes requer um custo
>> >> >>> >>>>>>>>> computacional
>> >> >>> >>>>>>>>> bastante elevado. Atualmente programo em C e programei
>> >> >>> >>>>>>>>> muito
>> >> >>> >>>>>>>>> pouco
>> >> >>> >>>>>>>>> em
>> >> >>> >>>>>>>>> C++ por curiosidade. Você acreditar que códigos em C++
>> >> >>> >>>>>>>>> perdem
>> >> >>> >>>>>>>>> muito
>> >> >>> >>>>>>>>> desempenho em comparação à C considerando que a
>> >> >>> >>>>>>>>> programação
>> >> >>> >>>>>>>>> em
>> >> >>> >>>>>>>>> ambas
>> >> >>> >>>>>>>>> as linguagens sejam eficientes? Você tem boas
>> >> >>> >>>>>>>>> experiências
>> >> >>> >>>>>>>>> na
>> >> >>> >>>>>>>>> utilização de C++ para programação estatística e para uso
>> >> >>> >>>>>>>>> em
>> >> >>> >>>>>>>>> simulações?
>> >> >>> >>>>>>>>>
>> >> >>> >>>>>>>>> Gostei bastante dessa biblioteca que você me passou,
>> >> >>> >>>>>>>>> muito
>> >> >>> >>>>>>>>> interessante. Não conhecia. A única biblioteca para
>> >> >>> >>>>>>>>> álgebra
>> >> >>> >>>>>>>>> linear
>> >> >>> >>>>>>>>> livre que eu conhecia era a GSL.
>> >> >>> >>>>>>>>>
>> >> >>> >>>>>>>>> [ ],
>> >> >>> >>>>>>>>> Pedro Rafael Diniz Marinho.
>> >> >>> >>>>>>>>>
>> >> >>> >>>>>>>>>
>> >> >>> >>>>>>>>> Em 9 de agosto de 2012 15:58, beniltoncarvalho [via R-br]
>> >> >>> >>>>>>>>> <[hidden email]> escreveu:
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>> Eu ainda sou do time "se vc esta' invertendo matriz,
>> >> >>> >>>>>>>>>> entao
>> >> >>> >>>>>>>>>> vc
>> >> >>> >>>>>>>>>> esta'
>> >> >>> >>>>>>>>>> fazendo algo errado"...
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>> Em C++, vc vai querer olhar o que Armadillo tem a
>> >> >>> >>>>>>>>>> oferecer.
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>> b
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>> 2012/8/9 Pedro Rafael <[hidden email]>:
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>>> Pessoal gostaria de saber qual uma boa biblioteca livre
>> >> >>> >>>>>>>>>>> de
>> >> >>> >>>>>>>>>>> C
>> >> >>> >>>>>>>>>>> para
>> >> >>> >>>>>>>>>>> trabalhar com operações matriciais como inversas e
>> >> >>> >>>>>>>>>>> produtos de
>> >> >>> >>>>>>>>>>> matrizes. Qualquer dica será interessante.
>> >> >>> >>>>>>>>>>>
>> >> >>> >>>>>>>>>>> [ ] Pedro Rafael Diniz Marinho.
>> >> >>> >>>>>>>>>>> _______________________________________________
>> >> >>> >>>>>>>>>>> R-br mailing list
>> >> >>> >>>>>>>>>>> [hidden email]
>> >> >>> >>>>>>>>>>>
>> >> >>> >>>>>>>>>>> https://listas.inf.ufpr.br/cgi-bin/mailman/listinfo/r-br
>> >> >>> >>>>>>>>>>> Leia o guia de postagem
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>> >> >>> >>>>>>>>>>> e
>> >> >>> >>>>>>>>>>> forneça
>> >> >>> >>>>>>>>>>> código mínimo reproduzível.
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>> _______________________________________________
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>> >> >>> >>>>>>>>>> código
>> >> >>> >>>>>>>>>> mínimo reproduzível.
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>>
>> >> >>> >>>>>>>>>> ________________________________
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>> >> >>> >>>>>>>>>>
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