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Jacobi’s formula: A -1 = Adj (A) where Adj (A) i,j = (-1) i+j det (A[ j,i ])
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I.Einführung - Webis...2. a j = A[j] 3. i = j 1 4. WHILE i > 0 AND A[i] > a j DO 5. A[i+1] = A[i] 6. i = i 1 7. ENDDO 8. A[i+1] = a j 9. ENDDO Datenstruktur Array: q n gleich große
![Predicting Trust Relationships in Social Networks Based on ... · 21 22 2 n n a a a A a a a ªº «» ¬¼. P p p i i i (1), (2) E [1 1 1]T. age ( ) (1 ) i i P A E P Rank u d d n](https://img.pdfslide.net/doc/110x75/5f5f552578f0a15fa428f0e8/predicting-trust-relationships-in-social-networks-based-on-21-22-2-n-n-a-a-a.jpg)
![Jacobi’s formula: A -1 = Adj (A) where Adj (A) i,j = (-1) i+j det (A[ j,i ])](https://img.pdfslide.net/doc/110x75/5681666d550346895dda094b/jacobis-formula-a-1-adj-a-where-adj-a-ij-1-ij-det-a-ji.jpg)
![I.Einführung - Webis...2. a j = A[j] 3. i = j 1 4. WHILE i > 0 AND A[i] > a j DO 5. A[i+1] = A[i] 6. i = i 1 7. ENDDO 8. A[i+1] = a j 9. ENDDO Datenstruktur Array: q n gleich große](https://img.pdfslide.net/doc/110x75/5f8aac8a29e0f77d616f2da7/ieinfhrung-webis-2-a-j-aj-3-i-j-1-4-while-i-0-and-ai-.jpg)