Design and Analysis of Algorithms - Comparing of various functions to analyze time complexity | DAA

#comparisonoffunction, #gatecse, #daa, #thegatehub Comparing various functions to analyze time complexity || Comparison of Function in algorithm || Comparison of Function in daa || time complexity of algorithms || time complexity || time complexity analysis || compare function in algorithm || compare function in daa || Comparison of Various Time Complexities || constant time complexity || various time complexities || compare class of function in algorithms || compare class of function in daa || various time complexity of algorithm Time complexity is a crucial aspect of algorithm design, affecting the runtime of a function. There are different types of time complexities, including constant time (O(1)), linear time (O(n), logarithmic time (O(log n), quadratic time (O(n^2)), and cubic time (O(n^3)). These notations are used based on the type of functions defined and the number of operations performed. Constant time is independent of input size n, while linear time increases linearly with input length. Logarithmic time reduces input data size in each step, reducing the number of operations. Quadratic time increases non-linearly with input length, affecting nested loops and polynomial time complexity functions. The order of notation for an algorithm is determined by the cost function and the number of times the statement is defined to run. Problem 1: 00:00 Problem 2: 04:43 Problem 3: 07:12 Problem 4: 10:27 Problem 5: 12:09 Problem 6: 17:24 Problem 7: 23:01 Problem 8: 29:43 Contact Details (You can follow me at) Instagram: https://www.instagram.com/thegatehub/ LinkedIn: https://www.linkedin.com/in/thegatehub Twitter: https://twitter.com/THEGATEHUB ................................................................................................................... Email: [email protected] ................................................................................................................... 📚 Subject Wise Playlist 📚 ▶️Data Structures: http://tinyurl.com/bwptf6f7 ▶️Theory of Computation: http://tinyurl.com/5bhtzhtd ▶️Compiler Design: http://tinyurl.com/2p9wtykf ▶️Design and Analysis of Algorithms: http://tinyurl.com/ywk8uuzc ▶️Graph Theory: http://tinyurl.com/3e8mynaw ▶️Discrete Mathematics: http://tinyurl.com/y82r977y