Sieve of Eratosthenes
The Sieve of Eratosthenes finds all primes up to n by marking multiples of each discovered prime as composite.
Beginne mit diesem mentalen Modell
The Sieve of Eratosthenes finds all primes up to n by marking multiples of each discovered prime as composite.
So funktioniert es – ohne unnötigen Jargon
Start with all candidates marked prime.
For each prime p up to √n, mark multiples starting at p²; smaller multiples were already handled.
Lies den Algorithmus als Folge von Entscheidungen
State the mathematical identity/property.
Choose numeric representation and constraints.
Translate the property into an iterative/recursive computation and analyze precision.
Read a tiny input by hand and write down the state after every important operation. For Sieve of Eratosthenes, the goal is to make the invariant visible rather than to memorize code.
function primesUpTo(n) {
const prime = Array(n + 1).fill(true);
prime[0] = prime[1] = false;
for (let p = 2; p * p <= n; p++) {
if (!prime[p]) continue;
for (let x = p * p; x <= n; x += p) prime[x] = false;
}
return prime.flatMap((isPrime, i) => isPrime ? [i] : []);
}Lerne die Syntax nicht auswendig. Folge dem Zustand, der sich in jeder Zeile ändert, und verbinde ihn mit der oben beschriebenen Invariante.
O(n log log n)
Do not quote this complexity mechanically.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
- Use the direct mathematical property when it removes unnecessary brute force.
Was typischerweise schiefgeht
- Ignoring floating-point precision or integer range.
- Using a formula outside its valid assumptions.
Struktur einer professionellen Antwort
Mention O(n log log n) time and O(n) space, and explain why marking can start from p².
What problem does Sieve of Eratosthenes solve?
The Sieve of Eratosthenes finds all primes up to n by marking multiples of each discovered prime as composite.
Was sollte ich zur Komplexität erwähnen?
Its typical cost here is O(n log log n), but a complete answer should connect that cost to the representation, input constraints and the dominant operations.
Was ist der häufigste Fehler?
Ignoring floating-point precision or integer range.