xmath.h

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#include "bd.h"

// Mathematics-Utilities
class TMath{
public:
  static double E;
  static double Pi;
  static double LogOf2;

  static double Inv(const double& x){IAssert(x!=0.0); return (1.0/x);}
  static double Sqr(const double& x){return x*x;}
  static double Sqrt(const double& x){IAssert(!(x<0.0)); return sqrt(x);}
  static double Log(const double& Val){return log(Val);}
  static double Log2(const double& Val){return log(Val)/LogOf2;}
  static double Round(const double& Val){
    return (Val>0)?floor(Val+0.5):ceil(Val-0.5);}
  static double Round(const double & Val, int Decs){
    const double pwr=pow(10.0, Decs); return Round(Val * pwr) / pwr;}
  static int Fac(const int& Val){
    if (Val<=1){return 1;} else {return Val*Fac(Val-1);}}
  static int Choose(const int& N, const int& K){ // binomial coefficient
    return Fac(N)/(Fac(K)*Fac(N-K)); }
  static uint Pow2(const int& pow){return uint(1u<<pow);}
  static double Power(const double& Base, const double& Exponent){
    return exp(log(Base)*Exponent);}

  template <typename T>
  static int Sign(const T& Val){return Val<0?-1:(Val>0?1:0);}

  template <class T>
  static const T& Mx(const T& LVal, const T& RVal) {
    return LVal > RVal ? LVal : RVal;}

  template <class T>
  static const T& Mn(const T& LVal, const T& RVal){
    return LVal < RVal ? LVal : RVal;}

  template <class T>
  static const T& Mx(const T& Val1, const T& Val2, const T& Val3) {
    if (Val1 > Val2) {
      if (Val1 > Val3) return Val1;
      else return Val3;
    } else {
      if (Val2 > Val3) return Val2;
      else return Val3;
    }
  }

  template <class T>
  static const T& Mn(const T& Val1, const T& Val2, const T& Val3) {
    if(Val1 < Val2) {
      if (Val1 < Val3) return Val1;
      else return Val3;
    } else {
      if (Val2 < Val3) return Val2;
      else return Val3;
    }
  }

  template <class T>
  static const T& Median(const T& Val1, const T& Val2, const T& Val3) {
    if (Val1 < Val2) {
      if (Val2 < Val3) return Val2;
      else if (Val3 < Val1) return Val1;
      else return Val3;
    } else {
      if (Val1 < Val3) return Val1;
      else if (Val3 < Val2)  return Val2;
      else return Val3;
    }
  }

  template <class T>
  static const T& InRange(const T& Val, const T& Mn, const T& Mx) {
    IAssert(Mn <= Mx); return Val < Mn ? Mn : (Val > Mx ? Mx : Val);}

  template <class T>
  static bool IsInRange(const T& Val, const T& Mn, const T& Mx) {
    IAssert(Mn <= Mx); return Val >= Mn && Val <= Mx;}

  template <class T>
  static bool IsInEps(const T& Val, const T& Eps) {
    return Val >= -Eps && Val <= Eps;}
};

// Special-Functions
class TSpecFunc{
public:
  static void GammaPSeries/*gser*/(
   double& gamser, const double& a, const double& x, double& gln);
  static void GammaQContFrac/*gcf*/(
   double& gammcf, const double& a, const double& x, double& gln);
  static double GammaQ/*gammq*/(const double& a, const double& x);
  static double LnGamma/*gammln*/(const double& xx);
  static double BetaCf/*betacf*/(
   const double& a, const double& b, const double& x);
  static double BetaI(const double& a, const double& b, const double& x);

  static void LinearFit( // Y = A + B*X
   const TVec<TFltPr>& XY, double& A, double& B,
   double& SigA, double& SigB, double& Chi2, double& R2);
  static void PowerFit( // Y = A * X^B
   const TVec<TFltPr>& XY, double& A, double& B,
   double& SigA, double& SigB, double& Chi2, double& R2);
  static void LogFit( // Y = A + B*log(X)
   const TVec<TFltPr>& XY, double& A, double& B,
   double& SigA, double& SigB, double& Chi2, double& R2);
  static void ExpFit( // Y = A * exp(B*X)
   const TVec<TFltPr>& XY, double& A, double& B,
   double& SigA, double& SigB, double& Chi2, double& R2);
public:
  static double LnComb(const int& n, const int& k);
public:
  static double Entropy(const TIntV& ValV);
  static double Entropy(const TFltV& ValV);
  static void EntropyFracDim(const TIntV& ValV, TFltV& EntropyV);
  static void EntropyFracDim(const TFltV& ValV, TFltV& EntropyV);
public:
  static double EntropyBias(const double& B); // solves for p: B = p*log2(p)+(1-p)log2(1-p)
  //MLE of the power-law coefficient
  static double GetPowerCoef(const TFltV& XValV, double MinX=-1.0); // values (sampled from the distribution)
  static double GetPowerCoef(const TFltPrV& XValCntV, double MinX=-1.0); // (value, count) pairs
};

// Statistical-Moments
ClassTPV(TMom, PMom, TMomV)//{
private:
  TBool DefP;
  TFltPrV ValWgtV;
  TFlt SumW, ValSumW;
  TInt Vals;
  TBool UsableP;
  TFlt UnusableVal;
  TFlt Mn, Mx;
  TFlt Mean, Vari, SDev, SErr;
  TFlt Median, Quart1, Quart3;
  TFlt Mode;
  TFltV DecileV; // 0=min 1=1.decile, ..., 9=9.decile, 10=max
  TFltV PercentileV; // 0=min 1=1.percentile, ..., 9=9.percentile, 10=max
public:
  TMom():
    DefP(false), ValWgtV(),
    SumW(), ValSumW(), Vals(),
    UsableP(false), UnusableVal(-1),
    Mn(), Mx(),
    Mean(), Vari(), SDev(), SErr(),
    Median(), Quart1(), Quart3(), Mode(),
    DecileV(), PercentileV(){}
  TMom(const TMom& Mom):
    DefP(Mom.DefP), ValWgtV(Mom.ValWgtV),
    SumW(Mom.SumW), ValSumW(Mom.ValSumW), Vals(Mom.Vals),
    UsableP(Mom.UsableP), UnusableVal(Mom.UnusableVal),
    Mn(Mom.Mn), Mx(Mom.Mx),
    Mean(Mom.Mean), Vari(Mom.Vari), SDev(Mom.SDev), SErr(Mom.SErr),
    Median(Mom.Median), Quart1(Mom.Quart1), Quart3(Mom.Quart3), Mode(Mom.Mode),
    DecileV(Mom.DecileV), PercentileV(Mom.PercentileV){}
  static PMom New(){return PMom(new TMom());}
  static void NewV(TMomV& MomV, const int& Moms){
    MomV.Gen(Moms); for (int MomN=0; MomN<Moms; MomN++){MomV[MomN]=New();}}
  static void NewVV(TVVec<PMom>& MomVV, const int& XMoms, const int& YMoms){
    MomVV.Gen(XMoms, YMoms);
    for (int XMomN=0; XMomN<XMoms; XMomN++){
      for (int YMomN=0; YMomN<YMoms; YMomN++){
        MomVV.At(XMomN, YMomN)=New();}}}
  TMom(const TFltV& _ValV);
  static PMom New(const TFltV& ValV){
    return PMom(new TMom(ValV));}
  TMom(TSIn& SIn):
    DefP(SIn),
    ValWgtV(SIn),
    SumW(SIn), ValSumW(SIn), Vals(SIn),
    UsableP(SIn), UnusableVal(SIn),
    Mn(SIn), Mx(SIn),
    Mean(SIn), Vari(SIn), SDev(SIn), SErr(SIn),
    Median(SIn), Quart1(SIn), Quart3(SIn), Mode(SIn),
    DecileV(SIn), PercentileV(SIn){}
  static PMom Load(TSIn& SIn){return new TMom(SIn);}
  void Save(TSOut& SOut) const {
    DefP.Save(SOut);
    ValWgtV.Save(SOut);
    SumW.Save(SOut); ValSumW.Save(SOut); Vals.Save(SOut);
    UsableP.Save(SOut); UnusableVal.Save(SOut);
    Mn.Save(SOut); Mx.Save(SOut);
    Mean.Save(SOut); Vari.Save(SOut); SDev.Save(SOut); SErr.Save(SOut);
    Median.Save(SOut); Quart1.Save(SOut); Quart3.Save(SOut); Mode.Save(SOut);
    DecileV.Save(SOut); PercentileV.Save(SOut);}

  TMom& operator=(const TMom& Mom){
    Assert(!DefP); DefP=Mom.DefP;
    ValWgtV=Mom.ValWgtV;
    SumW=Mom.SumW; ValSumW=Mom.ValSumW; Vals=Mom.Vals;
    UsableP=Mom.UsableP; UnusableVal=Mom.UnusableVal;
    Mn=Mom.Mn; Mx=Mom.Mx;
    Mean=Mom.Mean; Vari=Mom.Vari; SDev=Mom.SDev; SErr=Mom.SErr;
    Median=Mom.Median; Quart1=Mom.Quart1; Quart3=Mom.Quart3; Mode=Mom.Mode;
    DecileV=Mom.DecileV; PercentileV=Mom.PercentileV;
    return *this;}
  bool operator==(const TMom& Mom) const {
    return Vals==Mom.Vals;}
  bool operator<(const TMom& Mom) const {
    return Vals<Mom.Vals;}

  // define
  void Def();
  static void DefV(TMomV& MomV){
    for (int MomN=0; MomN<MomV.Len(); MomN++){MomV[MomN]->Def();}}
  static void DefVV(TVVec<PMom>& MomVV){
    for (int XMomN=0; XMomN<MomVV.GetXDim(); XMomN++){
      for (int YMomN=0; YMomN<MomVV.GetYDim(); YMomN++){
        MomVV.At(XMomN, YMomN)->Def();}}}
  bool IsDef() const {return DefP;}

  // values
  void Add(const TFlt& Val, const TFlt& Wgt=1){Assert(!DefP);
    ValWgtV.Add(TFltPr(Val, Wgt)); SumW+=Wgt; ValSumW+=Wgt*Val; Vals++;}
  double GetWgt() const {return SumW;}
  int GetVals() const {return Vals;}
  TFlt GetVal(const int& ValN) const {IAssert(!IsDef()); return ValWgtV[ValN].Val1;}
  //const TFltV& GetValV() const {IAssert(!IsDef()); return ValV;} //J:

  // usability
  bool IsUsable() const {Assert(DefP); return UsableP;}
  static bool IsUsableV(const TMomV& MomV){
    for (int MomN=0; MomN<MomV.Len(); MomN++){
      if (!MomV[MomN]->IsUsable()){return false;}}
    return true;}
  static bool IsUsableVV(const TVVec<PMom>& MomVV){
    for (int XMomN=0; XMomN<MomVV.GetXDim(); XMomN++){
      for (int YMomN=0; YMomN<MomVV.GetYDim(); YMomN++){
        if (!MomVV.At(XMomN, YMomN)->IsUsable()){return false;}}}
    return true;}

  // moments
  double GetMn() const {Assert(DefP&&UsableP); return Mn;}
  double GetMx() const {Assert(DefP&&UsableP); return Mx;}
  double GetExtent() const {Assert(DefP&&UsableP); return Mx-Mn;}
  double GetMean() const {Assert(DefP&&UsableP); return Mean;}
  double GetVari() const {Assert(DefP&&UsableP); return Vari;}
  double GetSDev() const {Assert(DefP&&UsableP); return SDev;}
  double GetSErr() const {Assert(DefP&&UsableP); return SErr;}
  double GetMedian() const {Assert(DefP&&UsableP); return Median;}
  double GetQuart1() const {Assert(DefP&&UsableP); return Quart1;}
  double GetQuart3() const {Assert(DefP&&UsableP); return Quart3;}
  double GetMode() const {Assert(DefP&&UsableP); return Mode;}
  double GetDecile(const int& DecileN) const {
    Assert(DefP&&UsableP); return DecileV[DecileN];}
  double GetPercentile(const int& PercentileN) const {
    Assert(DefP&&UsableP); return PercentileV[PercentileN];}
  double GetByNm(const TStr& MomNm) const;
  TStr GetStrByNm(const TStr& MomNm, char* FmtStr=NULL) const;

  // strings
  TStr GetStr(const char& SepCh=' ', const char& DelimCh=':',
   const bool& DecileP=true, const bool& PercentileP=true, const TStr& FmtStr="%g") const;
  static TStr GetNmVStr(const TStr& VarPfx,
   const char& SepCh='\t', const bool& DecileP=true, const bool& PercentileP=true);
  TStr GetValVStr(const char& SepCh='\t', const bool& DecileP=true, const bool& PercentileP=true) const;
};
typedef TVVec<PMom> TMomVV;
typedef THash<TInt, PMom> TIntMomH;
typedef THash<TInt, TMomV> TIntMomVH;
typedef THash<TInt, TMomVV> TIntMomVVH;

// Correlation
ClassTP(TCorr, PCorr)//{
private:
  int ValVLen;
  double CorrCf;
  double CorrCfPrb;
  double FisherZ;
public:
  TCorr(){}
  TCorr(const TFltV& ValV1, const TFltV& ValV2);
  static PCorr New(const TFltV& ValV1, const TFltV& ValV2){
    return PCorr(new TCorr(ValV1, ValV2));}
  TCorr(TSIn&){Fail;}
  static PCorr Load(TSIn& SIn){return new TCorr(SIn);}
  void Save(TSOut&){Fail;}

  TCorr& operator=(const TCorr&){Fail; return *this;}

  double GetCorrCf() const {return CorrCf;}
  double GetCorrCfPrb() const {return CorrCfPrb;}

  TStr GetStr() const;
};

// Statistical Tests
class TStatTest {
private:
  static void AveVar(const TFltV& ValV, double& Ave, double& Var);
  static double KsProb(const double& Alam);
public:
  static void ChiSquareOne(
   const TFltV& ObservedBinV, const TFltV& ExpectedBinV,
   double& ChiSquareVal, double& SignificancePrb);
  static void ChiSquareTwo(
   const TFltV& ObservedBin1V, const TFltV& ObservedBin2V,
   double& ChiSquareVal, double& SignificancePrb);

  static void TTest(
   const TFltV& ValV1, const TFltV& ValV2, double& TTestVal, double& TTestPrb);

  // Kolmogorov-Smirnov (are two distributions the same)
  static void KsTest(const TFltV& ValV1, const TFltV& ValV2, double& DStat, double& PVal);
  static void KsTest(const TFltPrV& ValCntV1, const TFltPrV& ValCntV2, double& DStat, double& PVal);
};

// Combinations
ClassTP(TComb, PComb)//{
public:
  int Items;
  int Order;
  int CombN;
  TIntV ItemV;
public:
  TComb(): Items(-1), Order(-1), CombN(-1), ItemV(){}
  TComb(const int& _Items, const int& _Order):
    Items(_Items), Order(_Order), CombN(0), ItemV(){
    IAssert((Order>0)&&(Order<=Items));}
  static PComb New(const int& Items, const int& Order){
    return PComb(new TComb(Items, Order));}
  ~TComb(){}
  TComb(TSIn&){Fail;}
  static PComb Load(TSIn& SIn){return new TComb(SIn);}
  void Save(TSOut&){Fail;}

  TComb& operator=(const TComb&){Fail; return *this;}

  bool GetNext();
  TIntV& GetItemV(){return ItemV;}
  int GetCombN() const {return CombN;}
  int GetCombs() const;
  void Wr();
};

// Linear-Regression
ClassTP(TLinReg, PLinReg)//{
public:
  TFltVV XVV;
  TFltV YV;
  TFltV SigV;
  int Recs, Vars;
  TFltVV CovarVV; // 1 based
  TFltV CfV; // 1 based
  double ChiSq;
  void GetXV(const int RecN, TFltV& VarV) const {
    VarV.Gen(Vars+1);
    for (int VarN=0; VarN<Vars; VarN++){VarV[VarN+1]=XVV.At(RecN-1, VarN);}
  }
  double GetY(const int RecN) const {return YV[RecN-1];}
  double GetSig(const int RecN) const {return SigV[RecN-1];}
  void NR_covsrt(TFltVV& CovarVV, const int& Vars, const TIntV& ia, const int& mfit);
  void NR_gaussj(TFltVV& a, const int& n, TFltVV& b, const int& m);
  void NR_lfit();
public:
  TLinReg(){}
  static PLinReg New(
   const TFltVV& XVV, const TFltV& YV, const TFltV& SigV=TFltV());
  ~TLinReg(){}
  TLinReg(TSIn&){Fail;}
  static PLinReg Load(TSIn& SIn){return new TLinReg(SIn);}
  void Save(TSOut&){Fail;}

  TLinReg& operator=(const TLinReg&){Fail; return *this;}

  int GetRecs() const {return Recs;}
  int GetVars() const {return Vars;}

  double GetCf(const int& VarN) const {return CfV[VarN+1];}
  double GetCfUncer(const int& VarN) const {
    return sqrt(double(CovarVV.At(VarN+1, VarN+1)));}
  double GetCovar(const int& VarN1, const int& VarN2) const {
    return CovarVV.At(VarN1+1, VarN2+1);}

  double GetChiSq() const {return ChiSq;}

  static double LinInterp(const double& x1, const double& y1,
   const double& x2, const double& y2, const double& AtX) _CMPWARN{
    if (x1 == x2) return (y1+y2)/2.0;
    const double k = (y2 - y1) / (x2 - x1);
    return k*(AtX - x1) + y1;
  }

  void Wr() const;
};

// Singular-Value-Decomposition
ClassTP(TSvd, PSvd)//{
public:
  TFltVV XVV;
  TFltV YV;
  TFltV SigV;
  int Recs, Vars;
  TFltVV CovarVV; // 1 based
  TFltV CfV; // 1 based
  double ChiSq;
  void GetXV(const int RecN, TFltV& VarV) const {
    VarV.Gen(Vars+1);
    for (int VarN=0; VarN<Vars; VarN++){VarV[VarN+1]=XVV.At(RecN-1, VarN);}
  }
  double GetY(const int RecN) const {return YV[RecN-1];}
  double GetSig(const int RecN) const {return SigV[RecN-1];}
  static double NR_SIGN(double a, double b){return b >= 0.0 ? fabs(a) : -fabs(a);}
  static double NR_FMAX(double maxarg1, double maxarg2){
    return maxarg1 > maxarg2 ? maxarg1 : maxarg2;}
  static int NR_IMIN(int iminarg1, int iminarg2){
    return iminarg1 < iminarg2 ? iminarg1 : iminarg2;}
  static double NR_pythag(double a, double b);
  static void NR_svdcmp(TFltVV& a, int m, int n, TFltV& w, TFltVV& v);
  void NR_svbksb(
   TFltVV& u, TFltV& w, TFltVV& v, int m, int n, TFltV& b, TFltV& x);
  void NR_svdvar(TFltVV& v, int ma, TFltV& w, TFltVV& cvm);
  void NR_svdfit();
public:
  TSvd(){}
  static PSvd New(
   const TFltVV& XVV, const TFltV& YV, const TFltV& SigV=TFltV());
  ~TSvd(){}
  TSvd(TSIn&){Fail;}
  static PSvd Load(TSIn& SIn){return new TSvd(SIn);}
  void Save(TSOut&){Fail;}

  TSvd& operator=(const TSvd&){Fail; return *this;}

  int GetRecs() const {return Recs;}
  int GetVars() const {return Vars;}

  double GetCf(const int& VarN) const {return CfV[VarN+1];}
  double GetCfUncer(const int& VarN) const {
    return sqrt(double(CovarVV.At(VarN+1, VarN+1)));}
  double GetCovar(const int& VarN1, const int& VarN2) const {
    return CovarVV.At(VarN1+1, VarN2+1);}

  double GetChiSq() const {return ChiSq;}

  void GetCfV(TFltV& _CfV);
  void GetCfUncerV(TFltV& CfUncerV);

  static void Svd(const TFltVV& InMtx, TFltVV& LSingV, TFltV& SingValV, TFltVV& RSingV);
  static void Svd1Based(const TFltVV& InMtx1, TFltVV& LSingV, TFltV& SingValV, TFltVV& RSingV);

  void Wr() const;
};

// Histogram
class THist {
private:
        TFlt MnVal;
        TFlt MxVal;
    TIntV BucketV;
        TFlt BucketSize;
    TInt Vals;
public:
    THist() { }
    THist(const double& _MnVal, const double& _MxVal, const int& Buckets):
      MnVal(_MnVal), MxVal(_MxVal), BucketV(Buckets),
          BucketSize(1.01 * double(MxVal - MnVal) / double(Buckets)) { }

    void Add(const double& Val, const bool& OnlyInP);

        int GetVals() const { return Vals; }
        int GetBuckets() const { return BucketV.Len(); }
        double GetBucketMn(const int& BucketN) const { return MnVal + BucketN * BucketSize; }
        double GetBucketMx(const int& BucketN) const { return MnVal + (BucketN + 1) * BucketSize; }
        int GetBucketVal(const int& BucketN) const { return BucketV[BucketN]; }
        double GetBucketValPerc(const int& BucketN) const { 
                return (Vals > 0) ? (double(BucketV[BucketN]) / double(Vals)) : 0.0; }

    void SaveStat(const TStr& ValNm, TSOut& FOut) const;
    void SaveTxt(const TStr& ValNm, const TStr& FNm) const {
        TFOut FOut(FNm); SaveStat(ValNm, FOut); }
};