Asymptotic Notations in Algorithm Analysis

Skibidi bop, let us dive into the world of asymptotic notations, where algorithms flex their runtime muscles. Big O notation is the sigma of the bunch, defining the upper limit of an algorithm's runtime, like a toilet that never overflows. We also have Omega notation, which lowkey represents the lower bound, giving us a safety net when the goons attack the input size. Theta notation is the dank middle ground, balancing both bounds. When you conquer the divide and conquer algorithms, you are breaking big problems into smaller ones, just like a ship sailing through a stormy sea, making it manageable. So, embrace the edge of complexity!