Algorithm Complexity Analyzer – Smart Big-O Calculator & Complexity Estimator

Algorithm Complexity Analyzer is a robust, web-based tool designed to help developers, educators, and computer science enthusiasts quickly evaluate the time and space complexities of algorithms. This interactive calculator offers both predefined algorithm patterns and a custom analysis mode, making it ideal for understanding the efficiency of code. Its user-friendly interface and detailed explanations empower users to optimize algorithms and learn the fundamentals of computational complexity.

Key Features:

• Predefined Algorithm Patterns:
  Choose from common patterns such as single loop, nested loops, divide & conquer, recursion, search, and sort for instant complexity analysis.
• Custom Analysis Mode:
  Input your own parameters (input size, nested levels, operations type) to generate tailored complexity results.
• Detailed Complexity Breakdown:
  Provides clear time and space complexity outputs along with comprehensive explanations for each analysis.
• Interactive User Interface:
  Features intuitive dropdowns, numeric inputs, and preset buttons to simplify the evaluation process.
• Real-Time Calculation & History Tracking:
  Instantly displays calculated complexities and maintains an analysis history for quick reference and comparison.
• Responsive & Modern Design:
  Optimized for all devices with a clean, professional look that enhances the learning experience.
• Easy Customization & Integration:
  Well-documented code allows for seamless customization and integration into larger educational or development projects.
• Local Storage Support:
  Saves recent analysis history to help users track their progress and revisit previous evaluations.

Web Documentation for Buyers:

1. Installation & Setup

Requirements:

• A web server capable of serving HTML5, JavaScript (ES6), and CSS3.
• A modern web browser (Chrome, Firefox, Edge, Safari) for full compatibility.
• Internet access to load any external resources (if applicable).

Installation Steps:

1. Download the Package:
   Purchase and download the latest version of Algorithm Complexity Analyzer from Gumroad.
2. Extract Files:
   Unzip the package to access all HTML, CSS, JavaScript, and asset files.
3. Upload to Server:
   Deploy the extracted files to your web server or integrate them into your existing project (ensure files are in your public directory, e.g., /public_html).
4. Configuration (Optional):
   Adjust file paths and server settings if needed, especially when integrating with a custom backend or additional libraries.

2. Usage Instructions

Accessing the Application:

• Open your web browser and navigate to the URL where Algorithm Complexity Analyzer is hosted. The landing page features a clean, intuitive interface with a header and a central calculator area.

Using the Analyzer:

• Algorithm Pattern Selection:
  Choose a predefined algorithm pattern from the dropdown (e.g., Single Loop, Nested Loops, Divide & Conquer, Recursive, Search, Sort) or select “Custom Analysis” for tailored evaluation.
• Input Parameters:
  Enter the input size (n), nested levels, and select the operations type (constant, linear, or logarithmic) to refine your analysis.
• Analyze Complexity:
  Click the “Analyze” button to compute time and space complexity. Results are displayed in dedicated result cards showing Big-O notations along with detailed explanations.
• Clear Analysis:
  Use the “Clear” button to reset inputs and clear analysis history.

History Tracking:

• Your recent analysis history is displayed in the History Section, allowing you to review past evaluations along with timestamps and computed complexities.

3. Customization & Integration

User Interface Customization:

• Easily modify the CSS styles (e.g., colors, fonts, borders) by editing the provided style variables.
• Adjust layout components to better match your branding or integrate with other educational tools.

Extending Functionality:

• The JavaScript code is thoroughly commented to facilitate customization and integration.
• Developers can extend the analyzer by adding more algorithm patterns, refining custom analysis logic, or connecting to external APIs for enhanced functionality.
• The modular design ensures smooth integration into existing websites or educational platforms.

4. Support & Updates

Documentation & Assistance:

• Comprehensive inline documentation is included to guide customization, troubleshooting, and integration.
• Buyers receive dedicated customer support for any issues, questions, or custom feature requests.

Future Updates:

• Regular updates will ensure compatibility with new web standards, enhance performance, and introduce additional features based on user feedback.
• Buyers will have access to the latest versions and improvements as part of their purchase.