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| Rev | Author | Line No. | Line |
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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 | } |