Euclidean Nodes Documents
  • What are Euclidean Nodes?
  • Specifications of Euclidean Nodes
  • Generating Process
    • Explanation
  • Colors
    • Standard Color Set
    • Special Color Palette
    • Color Number Distrubution
  • Some Examples
  • Selling
  • Roadmap
  • Accounts
    • Twitter
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What are Euclidean Nodes?

Carbon-Neutral NFT on Ethereum

NextSpecifications of Euclidean Nodes

Last updated 2 years ago

Euclidean Nodes is NFT’s on the Ethereum Blockchain. Each of the 512 design has a feature that makes them unique. Each node on the structure is randomly generated by the code and each node connected to the nearest one. Distances between each nodes are calculated by using . That’s why every design is different from another.

Each Euclidean node is generated with the previous Euclidean Node hash as its seed value. This means, Euclidean Nodes visuals are generated using a chain of consecutive hash values.

Technical Explanation

The Euclidean Distance Formula is used to find the distance between two points in Euclidean Space.

The code generates a random number of node points (between 25-545) and these node points are placed randomly on the Euclidean Space.

The code draws a certain ratio of diameter to each of the nodes point in the Euclidean Space. If another node point is inside this diameter, the shortest distance between these two points is calculated using the Euclidean Distance Formula (project name comes from here) and a straight line is drawn.

d=(x2−x1)2+(y2−y1)2+(z2−z1)2d=\sqrt{(x_{2}-x_{1})^2+(y_{2}-y_{1})^2+(z_{2}-z_{1})^2}d=(x2​−x1​)2+(y2​−y1​)2+(z2​−z1​)2​
Examples of Randomly Nodes on Two Dimensional Euclidean Space
Two Dimensional Euclidean Space
Examples on Two Dimensional Euclidean Space
Euclidean Distances Formula
Example of Euclidean Nodes Node: 25 Color Number: 5 Color Name: ['Violet' 'Blueberry' 'Frostbite' 'White' 'Lavender'] Seed: c2362297f3b7e49dee117687e449fc555a583d4fc6aa049ab3a741d9e9cc30a9
Euclidean Distance on three dimensional Euclidean Space
Examples on Two Dimensional Euclidean Space