[26740] | 1 | Index: ../trunk-jpl/test/Archives/Archive134.arch
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| 2 | ===================================================================
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| 3 | Cannot display: file marked as a binary type.
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| 4 | svn:mime-type = application/octet-stream
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| 5 | Index: ../trunk-jpl/src/c/shared/Random/randomgenerator.cpp
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| 6 | ===================================================================
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| 7 | --- ../trunk-jpl/src/c/shared/Random/randomgenerator.cpp (revision 26577)
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| 8 | +++ ../trunk-jpl/src/c/shared/Random/randomgenerator.cpp (revision 26578)
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| 9 | @@ -8,70 +8,71 @@
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| 10 | #undef M_PI
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| 11 | #define M_PI 3.141592653589793238462643
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| 12 |
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| 13 | +namespace rdngen{
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| 14 | + uniform_distribution_rnd::uniform_distribution_rnd(){/*{{{*/
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| 15 |
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| 16 | -uniform_distribution_rnd::uniform_distribution_rnd(){/*{{{*/
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| 17 | + a = 1103515245; // BSD Formula
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| 18 | + c = 12345; // BSD Formula
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| 19 | + m = 2147483648; // BSD Formula
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| 20 | + _seed = 0;
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| 21 | + lbound = 0.0;
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| 22 | + ubound = 1.0;
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| 23 | + return;
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| 24 | + }
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| 25 | + /*}}}*/
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| 26 | + uniform_distribution_rnd::uniform_distribution_rnd(double lower,double upper){/*{{{*/
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| 27 |
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| 28 | - a = 1103515245; // BSD Formula
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| 29 | - c = 12345; // BSD Formula
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| 30 | - m = 2147483648; // BSD Formula
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| 31 | - _seed = 0;
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| 32 | - lbound = 0.0;
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| 33 | - ubound = 1.0;
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| 34 | - return;
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| 35 | -}
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| 36 | - /*}}}*/
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| 37 | -uniform_distribution_rnd::uniform_distribution_rnd(double lower,double upper){/*{{{*/
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| 38 | + a = 1103515245; // BSD Formula
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| 39 | + c = 12345; // BSD Formula
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| 40 | + m = 2147483648; // BSD Formula
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| 41 | + _seed = 0;
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| 42 | + lbound = lower;
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| 43 | + ubound = upper;
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| 44 | + return;
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| 45 | + }
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| 46 | + /*}}}*/
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| 47 | + uniform_distribution_rnd::~uniform_distribution_rnd(){}
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| 48 | + void uniform_distribution_rnd::seed( unsigned int s ) { _seed = s; }
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| 49 | + unsigned int uniform_distribution_rnd::get_seed() { return _seed; }
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| 50 | + double uniform_distribution_rnd::generator() {
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| 51 | + _seed = ( a * _seed + c ) % m ;
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| 52 | + return (ubound-lbound)*(double) _seed/ m + lbound;
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| 53 | + }
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| 54 |
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| 55 | - a = 1103515245; // BSD Formula
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| 56 | - c = 12345; // BSD Formula
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| 57 | - m = 2147483648; // BSD Formula
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| 58 | - _seed = 0;
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| 59 | - lbound = lower;
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| 60 | - ubound = upper;
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| 61 | - return;
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| 62 | -}
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| 63 | - /*}}}*/
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| 64 | -uniform_distribution_rnd::~uniform_distribution_rnd(){}
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| 65 | -void uniform_distribution_rnd::seed( unsigned int s ) { _seed = s; }
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| 66 | -unsigned int uniform_distribution_rnd::get_seed() { return _seed; }
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| 67 | -double uniform_distribution_rnd::generator() {
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| 68 | - _seed = ( a * _seed + c ) % m ;
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| 69 | - return (ubound-lbound)*(double) _seed/ m + lbound;
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| 70 | -}
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| 71 |
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| 72 | + normal_distribution_rnd::normal_distribution_rnd(){/*{{{*/
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| 73 |
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| 74 | -normal_distribution_rnd::normal_distribution_rnd(){/*{{{*/
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| 75 | + _seed = 0;
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| 76 | + mean = 0;
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| 77 | + sdev = 1.0;
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| 78 | + return;
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| 79 | + }
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| 80 | + /*}}}*/
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| 81 | + normal_distribution_rnd::normal_distribution_rnd(double m,double s){/*{{{*/
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| 82 |
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| 83 | - _seed = 0;
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| 84 | - mean = 0;
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| 85 | - sdev = 1.0;
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| 86 | - return;
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| 87 | -}
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| 88 | -/*}}}*/
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| 89 | -normal_distribution_rnd::normal_distribution_rnd(double m,double s){/*{{{*/
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| 90 | + _seed = 0;
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| 91 | + mean = m;
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| 92 | + sdev = s;
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| 93 | + return;
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| 94 | + }
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| 95 | + /*}}}*/
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| 96 | + normal_distribution_rnd::~normal_distribution_rnd(){}
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| 97 | + void normal_distribution_rnd::seed( unsigned int s ) { _seed = s; }
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| 98 | + double normal_distribution_rnd::generator(){/*{{{*/
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| 99 |
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| 100 | - _seed = 0;
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| 101 | - mean = m;
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| 102 | - sdev = s;
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| 103 | - return;
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| 104 | -}
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| 105 | - /*}}}*/
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| 106 | -normal_distribution_rnd::~normal_distribution_rnd(){}
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| 107 | -void normal_distribution_rnd::seed( unsigned int s ) { _seed = s; }
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| 108 | -double normal_distribution_rnd::generator(){/*{{{*/
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| 109 | + uniform_distribution_rnd unifdistri;
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| 110 | + unifdistri.seed(_seed);
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| 111 |
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| 112 | - uniform_distribution_rnd unifdistri;
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| 113 | - unifdistri.seed(_seed);
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| 114 | + double u1 = unifdistri.generator();
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| 115 | + double u2 = unifdistri.generator();
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| 116 |
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| 117 | - double u1 = unifdistri.generator();
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| 118 | - double u2 = unifdistri.generator();
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| 119 | + double R = sqrt(-2*log(u1));
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| 120 | + double theta = 2*M_PI*u2;
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| 121 |
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| 122 | - double R = sqrt(-2*log(u1));
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| 123 | - double theta = 2*M_PI*u2;
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| 124 | + seed(unifdistri.get_seed());
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| 125 |
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| 126 | - seed(unifdistri.get_seed());
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| 127 | + return mean + sdev * (R*cos(theta));
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| 128 |
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| 129 | - return mean + sdev * (R*cos(theta));
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| 130 | -
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| 131 | - }
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| 132 | - /*}}}*/
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| 133 | + }
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| 134 | + /*}}}*/
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| 135 | +}
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| 136 | Index: ../trunk-jpl/src/c/shared/Random/randomgenerator.h
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| 137 | ===================================================================
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| 138 | --- ../trunk-jpl/src/c/shared/Random/randomgenerator.h (revision 26577)
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| 139 | +++ ../trunk-jpl/src/c/shared/Random/randomgenerator.h (revision 26578)
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| 140 | @@ -8,49 +8,51 @@
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| 141 | #undef M_PI
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| 142 | #define M_PI 3.141592653589793238462643
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| 143 |
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| 144 | -class uniform_distribution_rnd
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| 145 | -{
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| 146 | +namespace rdngen{
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| 147 | + class uniform_distribution_rnd
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| 148 | + {
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| 149 |
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| 150 | - private:
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| 151 | + private:
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| 152 |
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| 153 | - unsigned int a; //multiplier of the linear congruential generator
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| 154 | - unsigned int c; //increment of the linear congruential generator
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| 155 | - unsigned int m; // modulo of the linear congruential generator
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| 156 | - unsigned int _seed; // seed value
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| 157 | - double lbound; // lower bound of uniform distribution
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| 158 | - double ubound; // upper bound of uniform distribution
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| 159 | + unsigned int a; //multiplier of the linear congruential generator
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| 160 | + unsigned int c; //increment of the linear congruential generator
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| 161 | + unsigned int m; // modulo of the linear congruential generator
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| 162 | + unsigned int _seed; // seed value
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| 163 | + double lbound; // lower bound of uniform distribution
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| 164 | + double ubound; // upper bound of uniform distribution
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| 165 |
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| 166 | - public:
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| 167 | + public:
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| 168 |
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| 169 | - /*constructors, destructors: */
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| 170 | - uniform_distribution_rnd();
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| 171 | - uniform_distribution_rnd(double a_1, double a_2);
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| 172 | - ~uniform_distribution_rnd();
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| 173 | + /*constructors, destructors: */
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| 174 | + uniform_distribution_rnd();
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| 175 | + uniform_distribution_rnd(double a_1, double a_2);
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| 176 | + ~uniform_distribution_rnd();
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| 177 |
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| 178 | - void seed( unsigned int s );
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| 179 | - unsigned int get_seed();
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| 180 | - double generator();
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| 181 | + void seed( unsigned int s );
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| 182 | + unsigned int get_seed();
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| 183 | + double generator();
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| 184 |
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| 185 | -};
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| 186 | + };
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| 187 |
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| 188 | -class normal_distribution_rnd
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| 189 | -{
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| 190 | + class normal_distribution_rnd
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| 191 | + {
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| 192 |
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| 193 | - private:
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| 194 | - unsigned int _seed; // seed value
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| 195 | - double mean; // mean value
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| 196 | - double sdev; // standard deviation
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| 197 | + private:
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| 198 | + unsigned int _seed; // seed value
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| 199 | + double mean; // mean value
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| 200 | + double sdev; // standard deviation
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| 201 |
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| 202 | - public:
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| 203 | + public:
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| 204 |
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| 205 | - /*constructors, destructors: */
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| 206 | - normal_distribution_rnd();
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| 207 | - normal_distribution_rnd(double m,double s);
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| 208 | - ~normal_distribution_rnd();
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| 209 | + /*constructors, destructors: */
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| 210 | + normal_distribution_rnd();
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| 211 | + normal_distribution_rnd(double m,double s);
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| 212 | + ~normal_distribution_rnd();
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| 213 |
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| 214 | - void seed( unsigned int s );
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| 215 | - double generator();
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| 216 | + void seed( unsigned int s );
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| 217 | + double generator();
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| 218 |
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| 219 | -};
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| 220 | + };
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| 221 |
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| 222 | +}
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| 223 | #endif //ifndef _RANDOMGENERATOR_H_
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| 224 | Index: ../trunk-jpl/src/c/solutionsequences/solutionsequence_sampling.cpp
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| 225 | ===================================================================
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| 226 | --- ../trunk-jpl/src/c/solutionsequences/solutionsequence_sampling.cpp (revision 26577)
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| 227 | +++ ../trunk-jpl/src/c/solutionsequences/solutionsequence_sampling.cpp (revision 26578)
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| 228 | @@ -17,7 +17,7 @@
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| 229 | double rdnumber;
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| 230 |
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| 231 | /*Define seed*/
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| 232 | - //normal_distribution_rnd distribution;
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| 233 | + rdngen::normal_distribution_rnd distribution;
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| 234 | if(seed<0){
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| 235 | std::random_device rd;
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| 236 | seed = rd();
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| 237 | @@ -28,7 +28,7 @@
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| 238 | ISSM_MPI_Comm_rank(ISSM_MPI_COMM_WORLD,&my_rank);
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| 239 | seed = seed + 783728*my_rank; // change default seed for parallel simulations (by considering an arbitrary shif based on the rank number)
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| 240 | }
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| 241 | - //distribution.seed(seed);
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| 242 | + distribution.seed(seed);
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| 243 |
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| 244 | int *local_indices = NULL;
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| 245 | IssmDouble *local_vector = NULL;
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| 246 | @@ -37,7 +37,7 @@
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| 247 | int M;
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| 248 | ppf->GetLocalSize(&M);
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| 249 | for(int i=0;i<M;i++){
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| 250 | - rdnumber = 1.0;//distribution.rnd();
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| 251 | + rdnumber = distribution.generator();
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| 252 | ppf->SetValue(local_indices[i],rdnumber,INS_VAL);
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| 253 | }
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| 254 | ppf->Assemble();
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