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344 | f9daq | 1 | /* |
2 | Only core function |
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3 | MIT License |
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4 | |||
5 | Copyright (c) Jonas Almeida. |
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6 | |||
7 | Permission is hereby granted, free of charge, to any person obtaining a copy |
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8 | of this software and associated documentation files (the "Software"), to deal |
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9 | in the Software without restriction, including without limitation the rights |
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10 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
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11 | copies of the Software, and to permit persons to whom the Software is |
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12 | furnished to do so, subject to the following conditions: |
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13 | |||
14 | The above copyright notice and this permission notice shall be included in all |
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15 | copies or substantial portions of the Software. |
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16 | |||
17 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
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18 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
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19 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
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20 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
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21 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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22 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
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23 | SOFTWARE.*/ |
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24 | |||
25 | lin = function(x,P){ |
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26 | return x.map(function(xi){return (xi*P[1] + P[0])}) |
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27 | } |
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28 | |||
29 | quad = function(x,P){ |
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30 | return x.map(function(xi){return (Math.pow(xi, 2)*P[2] + xi*P[1] + P[0])}) |
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31 | } |
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32 | |||
33 | gaus2 = function(x, P){ |
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34 | return x.map(function(xi){return (P[2] * Math.exp(-0.5 * Math.pow((xi-P[0]) / P[1], 2)))}) |
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35 | } |
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36 | |||
37 | |||
38 | chisq = function(y, yp){ |
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39 | var sum = 0; |
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40 | for(var i = 0; i<y.length; i++){ |
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41 | if(y[i] != 0){ |
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42 | sum += Math.pow((y[i]-yp[i]),2)/y[i]; |
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43 | } |
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44 | } |
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45 | return sum |
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46 | } |
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47 | |||
48 | fminsearch=function(fun,Parm0,x,y,Opt){// fun = function(x,Parm) |
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49 | |||
50 | // fun = function(x,P){return x.map(function(xi){return (P[0]+1/(1/(P[1]*(xi-P[2]))+1/P[3]))})} |
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51 | // x=[32,37,42,47,52,57,62,67,72,77,82,87,92];y=[0,34,59,77,99,114,121,133,146,159,165,173,170]; |
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52 | // |
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53 | // Opt is an object will all other parameters, from the objective function (cost function), to the |
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54 | // number of iterations, initial step vector and the display switch, for example |
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55 | // Parms=fminsearch(fun,[100,30,10,5000],x,y,{maxIter:10000,display:false}) |
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56 | |||
57 | if(!Opt){Opt={}}; |
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58 | if(!Opt.maxIter){Opt.maxIter=1000}; |
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59 | if(!Opt.step){// initial step is 1/100 of initial value (remember not to use zero in Parm0) |
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60 | Opt.step=Parm0.map(function(p){return p/100}); |
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61 | Opt.step=Opt.step.map(function(si){if(si==0){return 1}else{ return si}}); // convert null steps into 1's |
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62 | }; |
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63 | |||
64 | if(!Opt.objFun){Opt.objFun=function(y,yp){ |
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65 | //console.log(y, yp); |
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66 | return chisq(y, yp)}//y.map(function(yi,i){return Math.pow((yi-yp[i]),2)}).reduce(function(a,b){return a+b})} |
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67 | } //SSD |
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68 | if(!Opt.mask){Opt.mask = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}; //use all parameters |
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69 | if(!Opt.maskBond){Opt.maskBond = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],[]]};//first element is mask, second is |
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70 | if(!Opt.sframe){Opt.sframe = 'h0'}; |
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71 | var cloneVector=function(V){return V.map(function(v){return v})}; |
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72 | |||
73 | var P1, ya,y0,yb,fP0,fP1; |
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74 | var P0 = cloneVector(Parm0);//, P1 = cloneVector(Parm0); |
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75 | var n = P0.length; |
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76 | var step = Opt.step; |
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77 | var funParm=function(P){return Opt.objFun(y,fun(x,P, Opt.sframe))}//function (of Parameters) to minimize |
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78 | //console.log('before:', P0); |
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79 | P0 = checkIfInRange(P0, Opt.maskBond); |
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80 | //console.log('after:', P0) |
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81 | // silly multi-univariate screening |
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82 | for(var i=0;i<Opt.maxIter;i++){ |
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83 | //console.log(i, P0); |
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84 | for(var j=0;j<n;j++){ // take a step for each parameter |
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85 | if(Opt.mask[j]==0){continue};//if parameter not used, skip it |
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86 | |||
87 | P1=cloneVector(P0); |
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88 | P1[j]+=step[j]; |
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89 | //console.log(i, P1) |
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90 | //check if new parameter is bonded => check if out of bonds |
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91 | P1 = checkIfInRange(P1, Opt.maskBond) |
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92 | |||
93 | if(funParm(P1)<funParm(P0)){ // if parm value going in the righ direction |
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94 | step[j]=1.2*step[j]; // then go a little faster |
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95 | P0=cloneVector(P1); |
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96 | } |
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97 | else{ |
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98 | step[j]=-(0.5*step[j]); // otherwiese reverse and go slower |
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99 | } |
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100 | } |
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101 | if(Opt.display){if(i>(Opt.maxIter-10)){console.log(i+1,funParm(P0),P0)}} |
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102 | //console.log(funParm(P0), P0); |
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103 | } |
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104 | //console.log(funParm(P0), P0, chisq(y, fun(x,P0))); |
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105 | return [P0, chisq(y, fun(x,P0, Opt.sframe))]; |
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106 | }; |
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107 | |||
108 | function checkIfInRange(P0, maskBond){ |
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109 | //P0 - vector of parameters |
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110 | //n - number of parameters |
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111 | //maskBond - first element is actual mask, second element is matrix of |
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112 | var n = P0.length; |
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113 | for(var j=0; j<n;j++){ |
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114 | if(maskBond[0][j]==1){ |
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115 | if(P0[j] < maskBond[1][j][0]){P0[j]=maskBond[1][j][0]}; |
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116 | if(P0[j] > maskBond[1][j][1]){ |
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117 | P0[j]=maskBond[1][j][1]; |
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118 | } |
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119 | } |
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120 | } |
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121 | return P0 |
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122 | } |