Introduces polydisc spaces over non-Archimedean fields for optimization, proving metric embeddings, function approximation, and existence of minimizers with accompanying code.
A Comprehensive Survey of Image Segmentation: Clustering Methods, Performance Parameters, and Benchmark Datasets , shorttitle =
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Non-Archimedean Polydisc Spaces and Applications to Optimisation
Introduces polydisc spaces over non-Archimedean fields for optimization, proving metric embeddings, function approximation, and existence of minimizers with accompanying code.