An algorithm is an , step-by-step set of instructions to solve a problem or perform a task. It's like a , but for computers. Just like a recipe guides you to make a delicious dish, an algorithm guides a computer to accomplish a specific task. Algorithms provide a way of solving problems and are the building blocks of many applications we use daily. Although in this course we will be focusing on Algorithms for Computers, we actually use algorithms all the time even when we aren't using computers, such as in recipe instructions for baking a cake or for solving a Rubik's Cube.
Thinking is a systematic and structured approach to problem-solving and decision-making. It involves down complex tasks or issues into , well-defined steps or procedures, much like a recipe for cooking or a set of instructions for assembling a piece of furniture.
This methodical approach enables individuals to solve problems efficiently. Thinking algorithmically allows for problem-solving and helps break down complex tasks into smaller, manageable steps. However, overreliance on algorithmic thinking can lead to , where a strict algorithmic approach may not be suitable, and more creative or adaptive thinking is required.
Common types of algorithms include sorting algorithms, search algorithms, and compression algorithms. algorithms are a set of methods used to arrange elements in a specific order within a collection of data, while algorithms are used to locate specific within that collection. algorithms reduce the size of data for efficient storage and transmission, making them crucial in today’s digital world. For example, Huffman Coding and Run-Length are popular methods used today.
