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FitInterface: test functions for correlations
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@ -411,6 +411,39 @@ bool FitInterface::isFitPoint(const Index k, const Index j) const
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return yDataIndex_[j].at(k);
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}
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bool FitInterface::isXXCorrelated(const Index r1, const Index i1,
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const Index r2, const Index i2) const
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{
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array<Index, 4> c{{r1, i1, r2, i2}};
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auto it = xxCorr_.find(c);
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return (it != xxCorr_.end());
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}
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bool FitInterface::isYYCorrelated(const Index k1, const Index j1,
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const Index k2, const Index j2) const
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{
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array<Index, 4> c{{k1, j1, k2, j2}};
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auto it = yyCorr_.find(c);
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return (it != yyCorr_.end());
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}
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bool FitInterface::isXYCorrelated(const Index r, const Index i,
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const Index k, const Index j) const
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{
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array<Index, 4> c{{r, i, k, j}};
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auto it = xyCorr_.find(c);
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return (it != xyCorr_.end());
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}
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bool FitInterface::hasCorrelations(void) const
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{
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return ((xxCorr_.size() != 0) or (yyCorr_.size() != 0)
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or (xyCorr_.size() != 0));
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}
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// make correlation filter for fit variance matrix /////////////////////////////
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DMat FitInterface::makeCorrFilter(void)
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{
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@ -108,6 +108,13 @@ public:
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bool isXExact(const Index i) const;
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bool isXUsed(const Index r, const Index i, const bool inFit = true) const;
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bool isFitPoint(const Index k, const Index j) const;
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bool isXXCorrelated(const Index r1, const Index i1, const Index r2,
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const Index i2) const;
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bool isYYCorrelated(const Index k1, const Index j1, const Index k2,
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const Index j2) const;
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bool isXYCorrelated(const Index r, const Index i, const Index k,
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const Index j) const;
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bool hasCorrelations(void) const;
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// make correlation filter for fit variance matrix
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DMat makeCorrFilter(void);
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// schedule variance matrix initialization
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