Overflow in intermediate arithmetic
Wrong move: Temporary multiplications exceed integer bounds.
Usually fails on: Large inputs wrap around unexpectedly.
Fix: Use wider types, modular arithmetic, or rearranged operations.
Build confidence with an intuition-first walkthrough focused on math fundamentals.
You are given an integer n.
Form a new integer x by concatenating all the non-zero digits of n in their original order. If there are no non-zero digits, x = 0.
Let sum be the sum of digits in x.
Return an integer representing the value of x * sum.
Example 1:
Input: n = 10203004
Output: 12340
Explanation:
x = 1234.sum = 1 + 2 + 3 + 4 = 10.x * sum = 1234 * 10 = 12340.Example 2:
Input: n = 1000
Output: 1
Explanation:
x = 1 and sum = 1.x * sum = 1 * 1 = 1.Constraints:
0 <= n <= 109Problem summary: You are given an integer n. Form a new integer x by concatenating all the non-zero digits of n in their original order. If there are no non-zero digits, x = 0. Let sum be the sum of digits in x. Return an integer representing the value of x * sum.
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: Math
10203004
1000
Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #3754: Concatenate Non-Zero Digits and Multiply by Sum I
class Solution {
public long sumAndMultiply(int n) {
int p = 1;
int x = 0, s = 0;
for (; n > 0; n /= 10) {
int v = n % 10;
s += v;
if (v != 0) {
x += p * v;
p *= 10;
}
}
return 1L * x * s;
}
}
// Accepted solution for LeetCode #3754: Concatenate Non-Zero Digits and Multiply by Sum I
func sumAndMultiply(n int) int64 {
p := 1
x := 0
s := 0
for n > 0 {
v := n % 10
s += v
if v != 0 {
x += p * v
p *= 10
}
n /= 10
}
return int64(x) * int64(s)
}
# Accepted solution for LeetCode #3754: Concatenate Non-Zero Digits and Multiply by Sum I
class Solution:
def sumAndMultiply(self, n: int) -> int:
p = 1
x = s = 0
while n:
v = n % 10
s += v
if v:
x += p * v
p *= 10
n //= 10
return x * s
// Accepted solution for LeetCode #3754: Concatenate Non-Zero Digits and Multiply by Sum I
fn sum_and_multiply(n: i32) -> i64 {
let (num, sum) = n.to_string().bytes().fold((0i64, 0i64), |(num, sum), b| {
if b == b'0' {
(num ,sum)
} else {
let m = (b - b'0') as i64;
(num * 10 + m, sum + m)
}
});
num * sum
}
fn main() {
let ret = sum_and_multiply(10203004);
println!("ret={ret}");
}
#[test]
fn test() {
assert_eq!(sum_and_multiply(10203004), 12340);
assert_eq!(sum_and_multiply(1000), 1);
}
// Accepted solution for LeetCode #3754: Concatenate Non-Zero Digits and Multiply by Sum I
function sumAndMultiply(n: number): number {
let p = 1;
let x = 0;
let s = 0;
while (n > 0) {
const v = n % 10;
s += v;
if (v !== 0) {
x += p * v;
p *= 10;
}
n = Math.floor(n / 10);
}
return x * s;
}
Use this to step through a reusable interview workflow for this problem.
Simulate the process step by step — multiply n times, check each number up to n, or iterate through all possibilities. Each step is O(1), but doing it n times gives O(n). No extra space needed since we just track running state.
Math problems often have a closed-form or O(log n) solution hidden behind an O(n) simulation. Modular arithmetic, fast exponentiation (repeated squaring), GCD (Euclidean algorithm), and number theory properties can dramatically reduce complexity.
Review these before coding to avoid predictable interview regressions.
Wrong move: Temporary multiplications exceed integer bounds.
Usually fails on: Large inputs wrap around unexpectedly.
Fix: Use wider types, modular arithmetic, or rearranged operations.