Lesson 2 of 12

Safe sums and honest complexity

Choose wide types, avoid query-time copies, and recognize stale summaries.

The total needs its own bound

With up to 200000 values of magnitude 10⁹, an absolute prefix sum may reach 2 × 10¹⁴. Use long long for stored totals, arithmetic, and returned answers. A wide output variable does not repair an addition that already overflowed in int.

If a, b, and c are int, writing long long total = a + b + c still performs the additions as int. Widen before arithmetic, or read summands as long long. Signed overflow is undefined behavior, so the numeric bound is part of the algorithm’s correctness.

A constant-time query can hide a linear copy

Build a prefix array in O(n), answer each query with two indexed reads and subtraction in O(1), and spend O(n + q) overall. The prefix vector occupies O(n) storage. A helper should accept a const reference; passing the entire vector by value would copy n entries on every query.

The example streams directly into a prefix vector. A separate original array is optional: the old value a[i] can be recovered as P[i] − P[i − 1] while that summary remains unchanged.

C++23
// Complete C++23 program. Input: n q, n values, q valid inclusive ranges.
#include <iostream>
#include <vector>
long long rangeSum(const std::vector<long long>& pref, int l, int r) {
    return pref[r] - pref[l - 1];
}
int main() {
    int n, q;
    std::cin >> n >> q;
    std::vector<long long> pref(n + 1, 0);
    for (int i = 1; i <= n; ++i) {
        long long value;
        std::cin >> value;
        pref[i] = pref[i - 1] + value;
    }
    while (q--) {
        int l, r;
        std::cin >> l >> r;
        std::cout << rangeSum(pref, l, r) << '\n';
    }
}

Know what the summary cannot do

Changing a[2] changes every prefix from P[2] onward. Editing only the original array leaves its summary stale. A plain prefix array does not give fast interleaved updates and queries. Later difference arrays support a batch of additions before reconstruction, not arbitrary online queries.

Subtraction works because sums support cancellation. Prefix minimums lose information: for [1, 5, 4], the first two and first three minima are both 1, but the minimum of [2, 3] is 4. Subtracting those summaries gives zero. Derive a formula from the stored meaning instead of applying prefix subtraction to every operation.

Prefix sum explorer

Query [l, r] is zero-based and inclusive. P[k] stores the total of the first k values; P[0] is zero.

Input array a

30
11
42
13
54
95

Prefix array P

00
31
42
83
94
145
236
P[5] − P[1] = 14 − (3) = 11

Preprocess once in O(n). Each range sum then takes O(1).

Guided simulation · Change the inputs to test your understanding.

Pause & predict

A program rebuilds all n prefixes before each of q queries. What is its total query-related work?

Choose an answer
Try it yourself

Turn the idea into code

Three values are each 1000000000. What should the full-range answer be? List the types and boundaries you would test in a rangeSum helper.

Give me a hint

Check where arithmetic happens, where it is stored, and what type the function returns.

Show the explained solution

The answer is 3000000000. Use long long summands, prefix entries, and return type, with a const-reference vector parameter. Test [1,1], [n,n], [1,n], an interior interval, all-negative input, and a sum above the 32-bit signed limit.

Your notes

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Mark complete when you can explain it yourself.

From a problem to a programIdentify the input, output, and constraints, then translate a small plan into C++.Variables, types, and remembered valuesChoose a representation, initialize it, and understand what assignment really changes.Arithmetic without surprisesPredict division and remainder, widen before multiplication, and format decimal answers.Conditions and logical decisionsBuild exclusive categories, combine comparisons, and protect operations with short-circuit logic.Optional: other ways to chooseRecognize switch for exact choices and the conditional operator for choosing a value.For loops: make repetition preciseTrace initialization, condition, body, and update—and avoid an extra iteration.While, do-while, and stopping rulesChoose a loop from its stopping condition and read the exact input format.Break, continue, and early answersDistinguish leaving a loop from skipping one iteration, without losing required input.Five patterns worth understandingUse sums, counts, best-so-far candidates, products, and flags to process a stream.Nested loops: rows and columnsTranslate a shape into two loop roles and count the total work.Take a number apart, one digit at a timeUse remainder and division to process decimal digits, including zero.Multiple cases and a debugging mindsetCombine the patterns, isolate each case, and test the boundaries that can break your idea.Arrays: give every value a placeUnderstand indices, initialization, capacity, active length, and the first safe array loop.Scan, count, search, and compareDistinguish values from positions and preserve the exact tie rule a problem asks for.Change a sequence without losing itUpdate, copy, compare, reverse, and inspect neighbours using the correct bounds.Matrices: think in two coordinatesTraverse tables, total rows and columns, inspect diagonals, and protect grid neighbours.Characters become stringsSeparate characters from numbers, then safely inspect and edit managed text.Read the text the problem actually givesChoose words or full lines, preserve empty cases, and reset only the state that needs it.Scan text: count, filter, transformBuild a result from matching characters without losing leading zeros or skipping shifted text.Join, compare, and find textLearn content comparison, lexicographical order, substring counts, and the not-found sentinel.