Question

10 While calculating time complexity of an algorithm, the designer concerns himself/herself primarily with the run time and not the compile time. Why?O A program needs to be compiled once but can be run several times.O Compile time is a function of run time.Run time is always more than compile timeO Compile time is always more than run time.11. Which of the following sorting algorithms yield approximately the same worst case and average-case running time behavior in O(n*log(n))?​

Answer 1

Answer:

sentences with the adjective forms of the words in the emotion allergy education create passion alphabet enjoy information 7. The creative minds of the group came up with this innovative design 2. Lubaina is to all kinds of nuts and mushrooms. 3. The train ride was a lot more than I was expecting it to be. 4. After an farewell, Kamal and Murtaza left for CanadaState whether the following statements are True or False: (a) The sum of three odd numbers is even (b) The sum of two odd numbers and one even number is even. (c) The product of three odd numbers is odd. (d) If an even number is divided by 2, the quotient is always odd. (e) All prime numbers are odd. (1) Prime numbers do not have any factors. (g) Sum of two prime numbers is always even. (h) 2 is the only even prime number. All even numbers are composite numbers. Yo (The product of two even numbers is always even. The numbers 13 and 31 are prime numbers. Both these numbers have same digits 1 and 3. Find such pairs of prime numbers upto 100. Write down separately the prime and composite numbers less than 20. What is the greatest prime number between 1 and 10? Express the following as the sum of two odd primes. (a) 44 (b) 36 (C) 24 (d) 18 Give three pairs of prime numbers whose difference is 2. Remark: Two prime numbers whose difference is 2 are called twin primes]. -? Which of the following numbers are prime? a) 23 (b) 51 (c) 37 (d) 26 Write seven consecutive composite numbers less than 100 so that there is no prime number between them. her

Answer 2

Compile time is always more than run time

While calculating time complexity of an algorithm, the designer concerns himself/herself primarily with the run time and not the compile time.

• The designer is primarily concerned with the run time and not the compile time Why when calculating the temporal complexity of an algorithm. Compile time is never less than run time. Run time is never less than compilation time. Run time influences compile time.
• Any algorithm's temporal complexity is taken into account when we analyse it, meaning the creator is more concerned with run time than compile time. The problem is that we only consider the run time an algorithm requires when analysing its complexity, not the compile time.
• The designer is primarily concerned with the run time and not the compile time Why when calculating the temporal complexity of an algorithm. Compile time is never less than run time. Run time is never less than compilation time. Run time influences compile time.
• Heap Sort and -Merge Sort both have runtime complexity that is O(nlogn), which is the best case scenario. Was this response useful?
• By definition, an algorithm's space complexity measures how much memory or space it requires to run in relation to the size of the input. While an algorithm's time complexity estimates how long it takes to run as a function of the size of the input.

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