Which of the following can complete the statement below? Different algorithms for the same problem can... never come up with exactly the same outcome can not be generated as algorithms require very specific information have different running times solve the problem differently please tell me the answers

Which of the following can complete the statement below? Different algorithms for the same problem can... never come up with exactly the same outcome can not be generated as algorithms require very specific information have different running times solve the problem differently please tell me the answers

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter10: Knowledge Management And Specialized Information Systems

Section: Chapter Questions

Problem 11SAT

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Which of the following asymptotic notation is used for representing the upper bound of an algorithm with respective space and time complexity? a. Big Theta (Θ) b. Big Alpha (α) c. Big Oh(O) d. Big Omega (Ω) Clear my choice
Which one of the following is NOT TRUE? More processing power is needed due to the complexity of time. Space's complexity reduces the amount of information you need to keep in your head at once. Time complexity is often measured in terms of the total number of processes required to complete a task. An algorithm's worst-case scenario is the one in which it must do the greatest number of operations.
Which of the following asymptotic notation is used for representing the upper bound of an algorithm with respective space and time complexity? a. Big Theta (Θ) b. Big Alpha (α) c. Big Oh(O) d. Big Omega (Ω)
please try to understand the question and provide the correct answer i will give thumb up (like) if your answer is correct and suitable I NEED A VERY GOOD ANSWER AND GOOD EXPLAINITION....I ALREADY POSTED THIS QUESTION BUT NOW I MAKE EASY FOR IT PLZ HELP ME WITH THIS ASAP and please do not copy paste from geeksforgeeks SHOW all the types of algorithm classification Big O notation with appropriate diagram.
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		never come up with exactly the same outcome
		can not be generated as algorithms require very specific information
		have different running times
		solve the problem differently