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Ever wondered how fast an algorithm runs or how much memory it uses? Unveiling the secrets behind these crucial aspects, this video dives deep into time complexity and space complexity. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐓𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 Imagine you're searching for a specific book in a library. Time complexity tells you how long it might take, on average, to find that book based on the library's organization. We'll explore different types of time complexity, including: 1.Worst-case: The absolute worst time it could take for the algorithm to finish, even in the most unfavorable scenario. 2.Average-case: The typical amount of time the algorithm takes to complete, considering all possible inputs. 3.Best-case: The fastest possible time the algorithm could take to run, given ideal input conditions. 𝐒𝐩𝐚𝐜𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 Just like time, space complexity is crucial. It measures the amount of additional memory an algorithm needs to run, beyond the input data itself. We'll discuss how to analyze space complexity and its importance in choosing efficient algorithms. 📞 0480 273 0123 / +917012716483 🌐 www.galtechlearning.com 📧 [email protected] WhatsApp: https://api.whatsapp.com/send?phone=9... Facebook: / galtech.school Instagram: / galtech.school #galtechschool #timecomplexity #spacecomplexity #algorithm #datastructureandalgorithm #datastructures #datastructuresandalgorithms #datastructure