About This Blog 🖋️

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Welcome to my LeetCode solutions blog! 🎉 Here, I follow a structured approach to provide clarity and depth in solving coding problems. Each post adheres to a well-defined schema, ensuring every aspect of the problem is covered comprehensively. Here’s how the schema breaks down:

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🔍 Problem

This is the core of the post, providing all details about the coding challenge.

1. Problem Statement

   • Component: description
   • Describes the goal of the problem clearly.
     Example: “Find indices of two distinct numbers in the array that sum to the target.”

2. Input Representation

   • Component: example, constraints
   • Defines the input format and constraints to set the scope of the solution.
     Example:

   nums = [1, 5, 7, 3], target = 8  
   Constraints: 2 <= nums.length <= 10^4  
   

3. Output Specification

   • Component: example, constraints
   • Describes what the output should look like, with examples.
     Example: Output is [0, 2] for the given input.

4. Core Logic

   • Component: goal, steps
   • Provides the reasoning behind solving the problem, often broken into actionable steps.
     Example: “Use a hashmap to track complements during array iteration.”

5. Constraints

   • Component: description, constraints
   • Lists specific rules the problem adheres to, ensuring edge cases are addressed.
     Example: “Each input will have exactly one solution.”

6. Problem Assumptions

   • Component: assumptions
   • Outlines assumptions like “Valid inputs are guaranteed.”

7. Understanding Examples

   • Component: example, explanation
   • Provides worked-out examples to illustrate the solution.

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🚀 Approach

Outlines how the problem is tackled, providing a roadmap for solving it.

1. Approach Description

   • Component: description
   • High-level overview of the method used to solve the problem.

2. Initial Thoughts

   • Component: observations, thought
   • Early insights or ideas about the problem.

3. Solution Design

   • Component: steps
   • Step-by-step plan for implementing the solution.

4. Edge Cases

   • Component: empty_inputs, large_inputs, special_values, constraints
   • Details on how to handle tricky scenarios like large datasets or special input values.

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💻 Steps

Breakdown of the solution into logical chunks, with code and descriptions.

1. Step Component
   • Component: code, description
   • Defines the function to solve the problem.

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⏳ Complexity

A detailed analysis of the algorithm’s efficiency.

1. Time Complexity

   • Component: best_case, average_case, worst_case, description
   • Example: O(n) for a single array traversal.

2. Space Complexity

   • Component: best_case, worst_case, description
   • Example: O(n) for hashmap storage.

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This schema ensures that every post delivers not only a solution but also an in-depth understanding of the problem and approach. Dive in and explore! 🌟