Algorithm: A step-by-step procedure or set of rules for solving a specific problem. It is essential for creating efficient code.
Time Complexity: The measure of how long an algorithm takes to run as the input size increases. Understanding time complexity helps optimize efficiency.
Space Complexity: The measure of how much memory an algorithm requires as the input size increases. Optimizing space complexity improves efficiency by reducing memory usage.