Algorithm
This data port serves as a valuable extension to the article titled "Algorithmic Framework for Analyzing and Simulating Multi-axial Robotic Transformations in Spatial Coordinates." It provides Python script implementations of the simulation algorithm detailed in the paper. These scripts are designed to allow seamless adoption and experimentation with the proposed algorithm, enhancing its usability for researchers and practitioners alike.
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The following dataset is used to test lossless compression algorithm on already compressed data, i.e. reduce data size even further without compromising its integrity. This Dataset has 1.000 “.txt” text files extracted from other Datasets and compressed in “.zip” format with a maximum size of 1 kB (Kilobyte), that is, 1.024 bytes. The largest Dataset file has 1670 characters including “text_zip (970).zip” spaces, and the smallest repository file has 14 characters with “text_zip (1).zip” spaces.
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Implementation of the time-domain directional TD32 introduced by SEL in Matlab/Simulink based on the user manual of SEL T401L for the researchers who need to simulate this relay.
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Grid planning benchmark dataset and scripts for the paper "A Hybrid Optimization Method Combining Network Expansion Planning and Switching State Optimization".
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Currently, the largest integer being verified for Collatz conjecture is about 2^60 . To verify whether extremely large integers such as 2^{100000}-1 can return 1, we design a new algorithm. This dedicated algorithm can change numerical computation into bit or charter computation, hence, original dynamics for extremely large integer without upper bound can be computed. By this algorithm, we thus design computer program that can output original dynamics for extremely large integers without upper-bound such as 2^{100000}-1, which is the largest integer being verified until now.
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