@unpublished {
    orvium-6650ccb8afb407dc8beb0ff2,
    title = "Efficient Step Function for Infinite Multi-Dimensional Node Calculation within Model-Integrated Dimensional Space",
    abstract = "Introduces a novel computational approach for efficiently navigating infinite multi-dimensional spaces using a bellande step function within a model-integrated dimensional framework. By optimizing the step function, the method addresses challenges in high-dimensional path-finding and node calculation, allowing movement towards target nodes within defined distance constraints. Leveraging this approach, efficiently compute the next step towards a target node, ensuring accurate movement while adhering to specified distance limits. The integration of dimensional space modeling enhances the path-finding process, demonstrating improved computational efficiency and accuracy. The results underscore the robustness and scalability of this approach, showcasing its potential applications in robotics, path-finding, and complex systems modeling. This integration of the step function with model-integrated dimensional space represents a significant advancement in the computational efficiency and precision of multi-dimensional node calculations.",
    keywords = "Efficient step function, Multi-dimensional node calculation, Model-integrated dimensional space, Pathfinding optimization, High-dimensional data processing, Computational efficiency, Robotics, AI pathfinding, Complex systems modeling, Distance calculation, Node navigation, Scalability, Robustness",
    author = "Ronaldson Bellande",
    year = "2024",
    language = "English",
    url = "https://dapp.orvium.io/deposits/6650ccb8afb407dc8beb0ff2/view",
}