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Asymptotic Notation

The asymptotic notation are used primarily to describe the running times of algorithms.

 Theta Notation - asymptotic tight bound


Big O Notation - asymptotic upper bound


Omega Notation - asymptotic lower bound


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Gaussian Elimination - Row reduction Algorithm

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Exercise 2 - Amdahl's Law

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Minor, Cofactor, Determinant, Adjoint & Inverse of a Matrix

Consider a matrix Minor of a Matrix I n the above matrix A, the minor of first element a 11  shall be Cofactor The Cofactor C ij  of an element a ij shall be When the sum of row number and column number is even, then Cofactor shall be positive, and for odd, Cofactor shall be negative. The determinant of an n x n matrix can be defined as the sum of multiplication of the first row element and their respective cofactors. Example, For a 2 x 2 matrix Cofactor C 11 = m 11 = | a 22 | = a 22  = 2 Determinant The determinant of A is  |A| = (3 x 2) - (1 x 1) = 5 Adjoint or Adjucate The Adjoint matrix of A , adjA is the transpose of its cofactor matrix. Inverse Matrix A matrix should be square matrix to have an inverse matrix and also its determinant should not be zero. The multiplication of matrix and its inverse shall be Identity matrix. The square matrix has no inverse is called Singular. Inv A = adjA / |A|           [ adjoint A / determ...
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