Time Complexity Analysis (Data Structures & Algorithms) | FREE DAILY LIVE CLASSES | Scaler Academy скачать в хорошем качестве

Time Complexity Analysis (Data Structures & Algorithms) | FREE DAILY LIVE CLASSES | Scaler Academy

Here's Scaler Academy wishing you HAPPY INDEPENDENCE DAY. Time complexity analysis tutorial of Data structures & Algorithms You can access today's assignment here: https://www.scaler.com/test/a/time-co... Check your score here : https://www.scaler.com/contest//time-... To discuss any doubts or questions after today's class with the community, join Scaler Club (Join DS and Algorithm Discussions channel): https://chat.scaler.com/signup_user_c... "As we celebrate the 74th year of independence and move towards being an #AatmanirbharBharat, Scaler calls all aspiring and existing developers to bridge the gap and be free of fear. This is our attempt at democratizing tech education with a new series of free and informative live classes. You can now learn coding concepts from those with skin in the game. If you know someone who would be interested, tag them in the comments. Because #AbIndiaKaregaCode" What are Data Structures & Algorithms? Data Structure can be referred to as a collection of data objects that allows storing, organizing, and retrieving data on systems. An algorithm refers to a set of steps used in completing a certain task or to get the desired output. A deep understanding of Data Structures and algorithms helps in efficient and well-optimised coding. What is Time Complexity in DSA? Time complexity is a measure of how long an algorithm takes in terms of the size of the input. It is used to compare the performance of different algorithms, and to predict the performance of an algorithm when applied to large inputs. Understanding time complexity is important for designing efficient algorithms and data structures, and for choosing the right algorithm or data structure for a given problem. Timecodes : 00:00 - Intro 08:50 - Comparing Algorithms 21:30 - Asymptotic Notations 23:19 - Big-O Notation 31:03 - Comparing the Growth Rate of Common Functions 36:28 - Analysing the Time Complexity of Code 54:24 - Time Complexity of Loop which Doubles 56:55 - Time Complexity of Loop which Increments