Consider the following program: public static void test(int n) { methodl (n); method2 (n); method3 (n);...

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Consider the following program: public static void test(int n) { methodl (n); method2 (n); method3 (n); public static void methodl (int n) { for (int i=10000; 1>-10; i--) for (int j-1; j<5555; j++){ int x- j+i; public static void method2 (int n) { for (int i=1;i<99*n; i++) for (int j = n/2; j>100; j--) method3 (n); public static void method3 (int n) { int x-99; for (int i = n/2; i>1; i = 1/2) X++; Identify the worst-case tightest upper bound time requirement in terms of big-O for the following methods. Assume that n is a large positive integer number. Consider the following program: public static void test(int n) { methodl (n); method2 (n); method3 (n); public static void methodl (int n) { for (int i=10000; 1>-10; i--) for (int j-1; j<5555; j++){ int x- j+i; public static void method2 (int n) { for (int i=1;i<99*n; i++) for (int j = n/2; j>100; j--) method3 (n); public static void method3 (int n) { int x-99; for (int i = n/2; i>1; i = 1/2) X++; Identify the worst-case tightest upper bound time requirement in terms of big-O for the following methods. Assume that n is a large positive integer number.

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Solution Lets analyze the time complexity of each method individually method1 It contains two nested ... View the full answer