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NCBI C++ ToolKit: src/algo/blast/gumbel_params/njn_localmaxstatutil.hpp Source File

1 #ifndef ALGO_BLAST_GUMBEL_PARAMS__INCLUDED_NJN_LOCALMAXSTATUTIL 2 #define ALGO_BLAST_GUMBEL_PARAMS__INCLUDED_NJN_LOCALMAXSTATUTIL 62 size_t

dimension2_ = 0);

85 double

lambda_ = 0.0);

98 double

lambda_ = 0.0);

105 double

lambda_ = 0.0,

106 double

thetaMin_ = 0.0);

129 double

*eSumAlpha_ = 0,

130 double

*eOneMinusExpSumAlpha_ = 0,

131 bool

isStrict_ =

false

132 double

lambda0_ = 0.0,

134 double

muAssoc0_ = 0.0,

135 double

thetaMin0_ = 0.0,

138 bool

*terminated_ = 0);

144 double

*eSumAlpha_ = 0,

145 double

*eOneMinusExpSumAlpha_ = 0,

146 bool

isStrict_ =

false

147 double

lambda_ = 0.0,

149 double

*pAlphaW_ = 0,

150 double

*eOneMinusExpSumAlphaW_ = 0,

151 double

lambda0_ = 0.0,

153 double

muAssoc0_ = 0.0,

154 double

thetaMin0_ = 0.0,

157 bool

*terminated_ = 0);

162 const double

*prob_);

171 const double

*prob_);

int32_t Int4

4-byte (32-bit) signed integer

#define END_NCBI_SCOPE

End previously defined NCBI scope.

#define END_SCOPE(ns)

End the previously defined scope.

#define BEGIN_NCBI_SCOPE

Define ncbi namespace.

#define BEGIN_SCOPE(ns)

Define a new scope.

Namespace for mathematical applications.

The NCBI C++/STL use hints.

Defines Limits for the types used in NCBI C/C++ toolkit.

double muAssoc(size_t dimension_, const Int4 *score_, const double *prob_, double lambda_=0.0)

Int4 delta(size_t dimension_, const Int4 *score_)

void descendingLadderEpochRepeat(size_t dimension_, const Int4 *score_, const double *prob_, double *eSumAlpha_=0, double *eOneMinusExpSumAlpha_=0, bool isStrict_=false, double lambda_=0.0, size_t endW_=0, double *pAlphaW_=0, double *eOneMinusExpSumAlphaW_=0, double lambda0_=0.0, double mu0_=0.0, double muAssoc0_=0.0, double thetaMin0_=0.0, double rMin0_=0.0, double time_=0.0, bool *terminated_=0)

double r(size_t dimension_, const Int4 *score_, const double *prob_, double theta_)

void flatten(size_t dimension_, const Int4 *const *scoreMatrix_, const double *const *prob_, size_t *dim_, Int4 **score_, double **p_, size_t dimension2_=0)

double lambda(size_t dimMatrix_, const Int4 *const *scoreMatrix_, const double *q_)

void descendingLadderEpoch(size_t dimension_, const Int4 *score_, const double *prob_, double *eSumAlpha_=0, double *eOneMinusExpSumAlpha_=0, bool isStrict_=false, double lambda0_=0.0, double mu0_=0.0, double muAssoc0_=0.0, double thetaMin0_=0.0, double rMin0_=0.0, double time_=0.0, bool *terminated_=0)

double rMin(size_t dimension_, const Int4 *score_, const double *prob_, double lambda_=0.0, double thetaMin_=0.0)

double thetaMinusDelta(double lambda_, size_t dimension_, const Int4 *score_)

bool isProbDist(size_t dimension_, const double *prob_)

double muPowerAssoc(size_t dimension_, const Int4 *score_, const double *prob_, double lambda_=0.0, Int4 power_=1)

bool isScoreIncreasing(size_t dimension_, const Int4 *score_)

double thetaMin(size_t dimension_, const Int4 *score_, const double *prob_, double lambda_=0.0)

bool isLogarithmic(size_t dimension_, const Int4 *score_, const double *prob_)

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