Algorithm
ProgrammingA step-by-step procedure or set of rules designed to solve a specific problem or perform a particular task in programming and computer science.
What is an Algorithm?
Definition
An algorithm is a finite sequence of well-defined instructions that can be executed by a computer to solve a problem or complete a task. It's like a recipe that tells the computer exactly what steps to follow.
Key Characteristics
- Finite: Must terminate after a finite number of steps
- Definite: Each step must be clearly defined
- Input: Takes zero or more inputs
- Output: Produces at least one output
- Effective: Steps must be basic enough to be carried out
Common Algorithm Examples
Binary Search Algorithm
Efficiently finds a target value in a sorted array by repeatedly dividing the search interval in half.
function binarySearch(arr, target) {
let left = 0;
let right = arr.length - 1;
while (left <= right) {
let mid = Math.floor((left + right) / 2);
if (arr[mid] === target) {
return mid;
} else if (arr[mid] < target) {
left = mid + 1;
} else {
right = mid - 1;
}
}
return -1; // Target not found
}
Algorithm Complexity
Time Complexity
Measures how the runtime of an algorithm grows with input size. Common complexities include:
- O(1): Constant time
- O(log n): Logarithmic time
- O(n): Linear time
- O(n²): Quadratic time
Space Complexity
Measures how much additional memory an algorithm uses relative to input size. Important for optimizing memory usage in applications.
Career Impact
Understanding algorithms is crucial for:
- Software Engineering: $95,000 - $180,000 annually
- Data Science: $100,000 - $200,000 annually
- Machine Learning Engineering: $120,000 - $250,000 annually
- Technical Interviews: Essential for FAANG companies