Efficient entry point encoding and decoding algorithms on 2D Hilbert space filling curve

Mengjuan Li, Yao Fan, Shaowen Sun, Lianyin Jia, Teng Liang

Open source

DOI
10.3934/mbe.2023914
Published
2023
Container
Mathematical Biosciences and Engineering
Publisher
American Institute of Mathematical Sciences (AIMS)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3934/mbe.2023914,
  title = {Efficient entry point encoding and decoding algorithms on 2D Hilbert space filling curve},
  author = {Mengjuan Li and Yao Fan and Shaowen Sun and Lianyin Jia and Teng Liang},
  year = {2023},
  journal = {Mathematical Biosciences and Engineering},
  doi = {10.3934/mbe.2023914},
  url = {https://doi.org/10.3934/mbe.2023914}
}

RIS

TY  - JOUR
TI  - Efficient entry point encoding and decoding algorithms on 2D Hilbert space filling curve
AU  - Mengjuan Li
AU  - Yao Fan
AU  - Shaowen Sun
AU  - Lianyin Jia
AU  - Teng Liang
PY  - 2023
JO  - Mathematical Biosciences and Engineering
DO  - 10.3934/mbe.2023914
UR  - https://doi.org/10.3934/mbe.2023914
ER  - 

APA

Li, M., Fan, Y., Sun, S., Jia, L., & Liang, T. (2023). Efficient entry point encoding and decoding algorithms on 2D Hilbert space filling curve. Mathematical Biosciences and Engineering. https://doi.org/10.3934/mbe.2023914

Source records