63 Int4 **score_, // score [0...dim_) in increasing order  in flatten()  argument
124     *score_ = new Int4 [*dim_];  in flatten()
130          (*score_) [*dim_] = s;  in flatten()
182    const Int4 *score_, // scores   in n_setParameters()  argument
187       n_score = score_;  in n_setParameters()
189       n_morgue = score_ [0] - 1;  in n_setParameters()
233 const Int4 *score_, // scores in increasing order  in mu()  argument
238       mu += static_cast <double> (score_ [i]) * prob_ [i];  in mu()
245 const Int4 *score_, // values   in lambda()  argument
248    n_setParameters (dimension_, score_, prob_);  in lambda()
260 const Int4 *score_, // scores in increasing order  in muPowerAssoc()  argument
265    n_setParameters (dimension_, score_, prob_);  in muPowerAssoc()
267    if (lambda_ == 0.0) lambda_ = lambda (dimension_, score_, prob_);  in muPowerAssoc()
274 const Int4 *score_, // scores in increasing order  in muAssoc()  argument
278    return muPowerAssoc (dimension_, score_, prob_, lambda_);  in muAssoc()
283 const Int4 *score_, // values   in thetaMin()  argument
288    n_setParameters (dimension_, score_, prob_);  in thetaMin()
290    if (lambda_ == 0.0) lambda_ = lambda (dimension_, score_, prob_);  in thetaMin()
300 const Int4 *score_, // values   in rMin()  argument
306    n_setParameters (dimension_, score_, prob_);  in rMin()
308    if (thetaMin_ == 0.0) thetaMin_ = thetaMin (dimension_, score_, prob_, lambda_);  in rMin()
318 const Int4 *score_, // scores in increasing order  in r()  argument
325       sum += prob_ [i] * exp (theta_ * static_cast <double> (score_ [i]));  in r()
332 const Int4 *score_) // scores   in delta()  argument
338       delta = Integer::euclidAlgorithm <Int4> (delta, score_ [i]);  in delta()
346 const Int4 *score_) // scores   in thetaMinusDelta()  argument
348    double del = static_cast <double> (delta (dimension_, score_));  in thetaMinusDelta()
368 const Int4 *score_, // values   in descendingLadderEpochRepeat()  argument
400     double mu0 = 0.0 == mu0_ ? mu (dimension_, score_, prob_) : mu0_;  in descendingLadderEpochRepeat()
403     double lambda0 = 0.0 == lambda0_ ? lambda (dimension_, score_, prob_) : lambda0_;  in descendingLadderEpochRepeat()
408     double muAssoc0 = 0.0 == muAssoc0_ ? muAssoc (dimension_, score_, prob_, lambda0) : muAssoc0_;  in descendingLadderEpochRepeat()
411 … double thetaMin0 = 0.0 == thetaMin0_ ? thetaMin (dimension_, score_, prob_, lambda0) : thetaMin0_;  in descendingLadderEpochRepeat()
413     double rMin0 = 0.0 == rMin0_ ? rMin (dimension_, score_, prob_, lambda0, thetaMin0) : rMin0_;  in descendingLadderEpochRepeat()
423     n_setParameters (dimension_, score_, prob_, entry);  in descendingLadderEpochRepeat()
430     DynProgProbLim dynProgProb (n_step, dimension_, prob_, score_ [0] - 1, Y_MAX);  in descendingLadderEpochRepeat()
449              for (value = score_ [0]; value <= entry; value++) {  in descendingLadderEpochRepeat()
457         for (value = score_ [0]; value <= entry; value++) {  in descendingLadderEpochRepeat()
481     for (value = score_ [0]; value <= entry; value++) {  in descendingLadderEpochRepeat()
502 const Int4 *score_, // values   in descendingLadderEpoch()  argument
515    descendingLadderEpochRepeat (dimension_, score_, prob_,   in descendingLadderEpoch()
534 const Int4 *score_) // scores in increasing order  in isScoreIncreasing()  argument
537       if (score_ [i] <= score_ [i - 1]) return false;  in isScoreIncreasing()
544 const Int4 *score_, // scores in increasing order  in isLogarithmic()  argument
547    _ASSERT (score_);  in isLogarithmic()
549    if (! isScoreIncreasing (dimension_, score_)) return false;  in isLogarithmic()
551    if (0.0 <= mu (dimension_, score_, prob_)) return false;  in isLogarithmic()
552    if (score_ [dimension_ - 1] <= 0.0) return false;  in isLogarithmic()