Bubble Sort
Bubble sort repeatedly compares adjacent values and swaps out-of-order pairs, causing large values to 'bubble' toward the end.
Beginne mit diesem mentalen Modell
Bubble sort repeatedly compares adjacent values and swaps out-of-order pairs, causing large values to 'bubble' toward the end.
So funktioniert es – ohne unnötigen Jargon
After one full pass, the largest unsorted value is in its final position.
With an early-exit flag, an already sorted array can finish in O(n).
Lies den Algorithmus als Folge von Entscheidungen
Understand what one pass/partition/merge guarantees.
Track which region is already finalized.
Reason about comparisons, swaps/moves and extra memory.
Read a tiny input by hand and write down the state after every important operation. For Bubble Sort, the goal is to make the invariant visible rather than to memorize code.
function bubbleSort(input) {
const a = [...input];
for (let end = a.length - 1; end > 0; end--) {
let swapped = false;
for (let i = 0; i < end; i++) {
if (a[i] > a[i + 1]) {
[a[i], a[i + 1]] = [a[i + 1], a[i]];
swapped = true;
}
}
if (!swapped) break;
}
return a;
}Lerne die Syntax nicht auswendig. Folge dem Zustand, der sich in jeder Zeile ändert, und verbinde ihn mit der oben beschriebenen Invariante.
O(n²)
Do not quote this complexity mechanically. Ask which operation or input dimension it describes, then derive the cost from the loops, recursion depth, data-structure operations and any preprocessing assumptions.
Gut geeignet
- Choose based on input size, order, key range, stability and memory limits.
Was typischerweise schiefgeht
- Forgetting the shrinking end boundary.
- Using it for large real workloads where O(n²) is too expensive.
Struktur einer professionellen Antwort
Use it mainly to demonstrate sorting fundamentals, stability and best/average/worst-case reasoning rather than as a production default.
What problem does Bubble Sort solve?
Bubble sort repeatedly compares adjacent values and swaps out-of-order pairs, causing large values to 'bubble' toward the end.
Was sollte ich zur Komplexität erwähnen?
Its typical cost here is O(n²), but a complete answer should connect that cost to the representation, input constraints and the dominant operations.
Was ist der häufigste Fehler?
Forgetting the shrinking end boundary.