| 1 | /*! |
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| 2 | \file |
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| 3 | \brief Probability distributions for Mixtures of pdfs |
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| 4 | \author Vaclav Smidl. |
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| 5 | |
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| 6 | ----------------------------------- |
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| 7 | BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 8 | |
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| 9 | Using IT++ for numerical operations |
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| 10 | ----------------------------------- |
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| 11 | */ |
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| 12 | |
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| 13 | #ifndef MX_H |
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| 14 | #define MX_H |
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| 15 | |
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| 16 | #include "libBM.h" |
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| 17 | #include "libEF.h" |
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| 18 | //#include <std> |
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| 19 | |
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| 20 | using namespace itpp; |
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| 21 | |
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| 22 | /*! |
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| 23 | * \brief Mixture of epdfs |
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| 24 | |
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| 25 | Density function: |
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| 26 | \f[ |
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| 27 | f(x) = \sum_{i=1}^{n} w_{i} f_i(x), \quad \sum_{i=1}^n w_i = 1. |
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| 28 | \f] |
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| 29 | where \f$f_i(x)\f$ is any density on random variable \f$x\f$, called \a component, |
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| 30 | |
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| 31 | */ |
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| 32 | class emix : public epdf { |
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| 33 | protected: |
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| 34 | //! weights of the components |
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| 35 | vec w; |
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| 36 | //! Component (epdfs) |
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| 37 | Array<epdf*> Coms; |
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| 38 | public: |
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| 39 | //!Default constructor |
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| 40 | emix(RV &rv) : epdf(rv) {}; |
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| 41 | //! Set weights \c w and components \c R |
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| 42 | void set_parameters(const vec &w, const Array<epdf*> &Coms); |
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| 43 | |
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| 44 | vec sample() const; |
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| 45 | vec mean() const { |
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| 46 | int i; vec mu = zeros(rv.count()); |
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| 47 | for (i = 0;i < w.length();i++) {mu += w(i) * Coms(i)->mean(); } |
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| 48 | return mu; |
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| 49 | } |
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| 50 | double evalpdflog(const vec &val) const { |
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| 51 | int i; |
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| 52 | double sum = 0.0; |
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| 53 | for (i = 0;i < w.length();i++) {sum += w(i) * Coms(i)->evalpdflog(val);} |
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| 54 | return log(sum); |
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| 55 | }; |
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| 56 | |
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| 57 | //Access methods |
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| 58 | //! returns a pointer to the internal mean value. Use with Care! |
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| 59 | vec& _w() {return w;} |
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| 60 | }; |
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| 61 | |
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| 62 | /*! \brief Chain rule decomposition of epdf |
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| 63 | |
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| 64 | Probability density in the form of Chain-rule decomposition: |
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| 65 | \[ |
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| 66 | f(x_1,x_2,x_3) = f(x_1|x_2,x_3)f(x_2,x_3)f(x_3) |
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| 67 | \] |
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| 68 | Note that |
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| 69 | */ |
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| 70 | class eprod: public epdf { |
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| 71 | protected: |
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| 72 | // |
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| 73 | int n; |
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| 74 | // pointers to epdfs |
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| 75 | Array<epdf*> epdfs; |
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| 76 | Array<mpdf*> mpdfs; |
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| 77 | // |
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| 78 | Array<ivec> rvinds; |
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| 79 | Array<ivec> rvcinds; |
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| 80 | //! Indicate independence of its factors |
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| 81 | bool independent; |
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| 82 | //! Indicate internal creation of mpdfs which must be destroyed |
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| 83 | bool intermpdfs; |
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| 84 | public: |
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| 85 | //!Constructor from list of eFacs or list of mFacs |
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| 86 | eprod(Array<mpdf*> mFacs): epdf(RV()), n(mFacs.length()), epdfs(n), mpdfs(mFacs), rvinds(n), rvcinds(n) { |
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| 87 | int i; |
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| 88 | intermpdfs = false; |
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| 89 | for (i = 0;i < n;i++) { |
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| 90 | rv.add(mpdfs(i)->_rv()); //add rv to common rvs. |
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| 91 | epdfs(i) = &(mpdfs(i)->_epdf()); // add pointer to epdf |
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| 92 | }; |
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| 93 | independent = true; |
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| 94 | //test rvc of mpdfs and fill rvinds |
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| 95 | for (i = 0;i < n;i++) { |
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| 96 | // find ith rv in common rv |
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| 97 | rvinds(i) = mpdfs(i)->_rv().dataind(rv); |
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| 98 | // find ith rvc in common rv |
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| 99 | rvcinds(i) = mpdfs(i)->_rvc().dataind(rv); |
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| 100 | if (rvcinds(i).length()>0) {independent = false;} |
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| 101 | } |
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| 102 | |
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| 103 | }; |
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| 104 | eprod(Array<epdf*> eFacs): epdf(RV()), n(eFacs.length()), epdfs(eFacs), mpdfs(n), rvinds(n), rvcinds(n) { |
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| 105 | int i; |
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| 106 | intermpdfs = true; |
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| 107 | for (i = 0;i < n;i++) { |
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| 108 | if (rv.add(eFacs(i)->_rv())) {it_error("Incompatible eFacs.rv!");} //add rv to common rvs. |
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| 109 | mpdfs(i) = new mepdf(*(epdfs(i))); |
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| 110 | epdfs(i) = &(mpdfs(i)->_epdf()); // add pointer to epdf |
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| 111 | }; |
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| 112 | independent = true; |
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| 113 | //test rvc of mpdfs and fill rvinds |
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| 114 | for (i = 0;i < n;i++) { |
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| 115 | // find ith rv in common rv |
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| 116 | rvinds(i) = mpdfs(i)->_rv().dataind(rv); |
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| 117 | } |
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| 118 | }; |
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| 119 | |
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| 120 | double evalpdflog(const vec &val) const { |
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| 121 | int i; |
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| 122 | double res = 0.0; |
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| 123 | for (i = n - 1;i > 0;i++) { |
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| 124 | if (rvcinds(i).length() > 0) |
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| 125 | {mpdfs(i)->condition(val(rvcinds(i)));} |
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| 126 | // add logarithms |
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| 127 | res += epdfs(i)->evalpdflog(val(rvinds(i))); |
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| 128 | } |
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| 129 | return res; |
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| 130 | } |
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| 131 | vec sample () const{ |
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| 132 | vec smp=zeros(rv.count()); |
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| 133 | for (int i = (n - 1);i >= 0;i--) { |
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| 134 | if (rvcinds(i).length() > 0) |
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| 135 | {mpdfs(i)->condition(smp(rvcinds(i)));} |
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| 136 | set_subvector(smp,rvinds(i), epdfs(i)->sample()); |
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| 137 | } |
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| 138 | return smp; |
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| 139 | } |
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| 140 | vec mean() const{ |
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| 141 | vec tmp(rv.count()); |
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| 142 | if (independent) { |
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| 143 | for (int i=0;i<n;i++) { |
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| 144 | vec pom = epdfs(i)->mean(); |
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| 145 | set_subvector(tmp,rvinds(i), pom); |
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| 146 | } |
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| 147 | } |
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| 148 | else { |
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| 149 | int N=50*rv.count(); |
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| 150 | it_warning("eprod.mean() computed by sampling"); |
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| 151 | tmp = zeros(rv.count()); |
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| 152 | for (int i=0;i<N;i++){ tmp += sample();} |
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| 153 | tmp /=N; |
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| 154 | } |
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| 155 | return tmp; |
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| 156 | } |
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| 157 | ~eprod(){if (intermpdfs) {for (int i=0;i<n;i++){delete mpdfs(i);}}}; |
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| 158 | }; |
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| 159 | |
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| 160 | /*! \brief Mixture of mpdfs with constant weights, all mpdfs are of equal type |
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| 161 | |
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| 162 | */ |
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| 163 | class mmix : public mpdf { |
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| 164 | protected: |
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| 165 | //! Component (epdfs) |
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| 166 | Array<mpdf*> Coms; |
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| 167 | //!Internal epdf |
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| 168 | emix Epdf; |
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| 169 | public: |
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| 170 | //!Default constructor |
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| 171 | mmix(RV &rv, RV &rvc) : mpdf(rv, rvc), Epdf(rv) {ep = &Epdf;}; |
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| 172 | //! Set weights \c w and components \c R |
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| 173 | void set_parameters(const vec &w, const Array<mpdf*> &Coms) { |
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| 174 | Array<epdf*> Eps(Coms.length()); |
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| 175 | |
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| 176 | for (int i = 0;i < Coms.length();i++) { |
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| 177 | Eps(i) = & (Coms(i)->_epdf()); |
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| 178 | } |
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| 179 | Epdf.set_parameters(w, Eps); |
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| 180 | }; |
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| 181 | |
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| 182 | void condition(const vec &cond) { |
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| 183 | for (int i = 0;i < Coms.length();i++) {Coms(i)->condition(cond);} |
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| 184 | }; |
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| 185 | }; |
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| 186 | #endif //MX_H |
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