Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Alin 2.2 2.4
1. CHAPTER 2 – DETERMINANTS 2.1. The Determinant Function 2.2. Evaluating Determinants by Row Reduction 2.3. Properties of the Determinant Function 2.4. Cofactor Expansion; Cramer’s Rule
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3. Example 1 A = 3 1 4 –2 det(A) = 3 (-2) – 1 4 = –10
11. Theorem: If A is a square matrix A with proportional rows/columns, then det(A) = 0 Example : A = 2 3 5 2 3 5 4 6 10 0 0 0 8 7 11 8 7 11 det(A) = 0 ERO 3: row 2 – 2 row 1
12. Cramer’s Rule: The solution of a system of linear equation Ax = b where det(A) 0 is unique and is determined by: x j = i = 1, 2, 3, …, n det(A j ) det(A) A j is obtained by replacing the j-th column of matrix A by b
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16. Pelajari sendiri semua definisi, teorema, algoritma yang tidak dibahas di kelas Latihan: 2.1. no. 19 2.2. no. 8 2.3. no. 3 2.4. no. 17