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Problem Solving Basics

Learn how to read, break down, and approach any coding problem systematically.

0 Problems45 min

Overview

Before writing code, top candidates spend time understanding the problem, identifying constraints, thinking of examples and edge cases, and choosing the right approach. A structured problem-solving process prevents wasted time and makes your thought process clear to interviewers.

Complexity Summary

Time Complexity

N/A — conceptual topic

Space Complexity

N/A — conceptual topic

Key Patterns & Techniques

Learn the core patterns in this topic. Each block explains when to use the pattern, the intuition behind it, and a compact code example.

1

Read carefully

Concept

identify exact input/output.

Pattern Example
Problem

"return indices" vs "return values"

Practice questions for this pattern
2

Clarify constraints

Concept

array size, value range, can input be empty or negative?

Practice questions for this pattern
3

Work examples

Concept

trace nums=[2,7,11], target=9 → output [0,1]

Practice questions for this pattern
4

Edge cases

Concept

empty array [], single element [x], all same [5,5,5], negatives [-1,2]

Practice questions for this pattern
5

Brute force first

Concept

write O(n²) nested loop solution, then optimize

Practice questions for this pattern
6

Optimize

Concept

identify bottleneck, apply pattern: sort/hash/two-pointer/binary search

Practice questions for this pattern
7

Dry run

Concept

step through your code manually before submitting

Practice questions for this pattern
8

Communicate

Concept

in interviews, think aloud so the interviewer follows your reasoning

Practice questions for this pattern
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