Topic hub
Algorithm Visualization Tutorials
An interactive hub for eight queens, N-Queens, backtracking, bitmasks, complexity, and browser-based algorithm demos.
Designed for searches around eight queens backtracking, bitmask optimization, N-Queens complexity, and algorithm visualization playgrounds.
What you will build
You will see how the same problem moves from classic backtracking to bitmask optimization, then inspect the search in the playground.
Recommended reading order
Start with concepts, then move into runnable projects
Eight queens with classic backtracking
Start with state representation, conflict checks, recursive search, and the full C/Python solving flow.
Bitwise optimization for the eight queens problem
Move from array-based checks to compact bit masks so the same search becomes faster and easier to reason about.
K-means clustering on the Iris dataset in C
Study standardization, K-means++ initialization, restart selection, SSE, and the final clustering result.
Resources and distribution assets
Code, data, diagrams, and share assets in one place
Algorithm Implementation Project / DIAGRAM
K-means flowchart
SVG flowchart for the C program execution path.
Algorithm Implementation Project / DIAGRAM
Cluster visualization
A 2D scatter projection using petal length and petal width.
Algorithm Implementation Project / ARCHIVE
K-means zip package
Contains dataset, source code, flowchart, and visualization.
Algorithm Implementation Project / SOCIAL
Algorithm Visualization share card
A 1200x630 SVG card for eight queens, backtracking, bitmasks, and the playground.
Site Building Project / VIDEO
SEO distribution short-video storyboards
Four 45-60 second storyboard scripts ready for later Remotion production.
FAQ
Direct answers to common search questions
Why pair algorithm articles with a playground?
The playground makes recursion, backtracking, and iteration states observable, which lowers the cost of reading code-only explanations.
Why do some English pages link to Chinese algorithm posts?
Some long algorithm posts are currently published only in Chinese. The English hub provides English context first, with full translations planned later.