Algorithmic Concepts and Pseudo-Code
1. Sorting Algorithms
Sorting algorithms arrange elements in a specific order. Here's a simple example of the Bubble Sort algorithm:
function bubbleSort(array) {
let n = array.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - i - 1; j++) {
if (array[j] > array[j + 1]) {
// Swap if the element found is greater
let temp = array[j];
array[j] = array[j + 1];
array[j + 1] = temp;
}
}
}
}
2. Search Algorithms
Search algorithms find the position of a target element. Here's a binary search example:
function binarySearch(sortedArray, target) {
let low = 0;
let high = sortedArray.length - 1;
while (low <= high) {
let mid = Math.floor((low + high) / 2);
if (sortedArray[mid] === target) {
return mid; // Element found
} else if (sortedArray[mid] < target) {
low = mid + 1;
} else {
high = mid - 1;
}
}
return -1; // Element not found
}
3. Graph Algorithms
Graph algorithms operate on graphs. Here's a depth-first search (DFS) example:
function DFS(graph, start, visited) {
visited[start] = true;
console.log(start);
for (let neighbor of graph[start]) {
if (!visited[neighbor]) {
DFS(graph, neighbor, visited);
}
}
}
These examples illustrate basic algorithmic concepts. Depending on the context and problem, algorithmic syntax can vary widely. Explore specific algorithms and their implementations in your preferred programming language for a deeper understanding.
For more detailed information, refer to the official documentation for:
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