Version 1
: Received: 10 May 2023 / Approved: 11 May 2023 / Online: 11 May 2023 (08:41:46 CEST)
Version 2
: Received: 16 May 2023 / Approved: 17 May 2023 / Online: 17 May 2023 (10:46:44 CEST)
Version 3
: Received: 20 May 2023 / Approved: 22 May 2023 / Online: 22 May 2023 (13:34:58 CEST)
Version 4
: Received: 9 September 2023 / Approved: 11 September 2023 / Online: 12 September 2023 (05:00:39 CEST)
How to cite:
Chen, L. Continuum Mapping and S-binary Space Solution to Coin Weighing Problem. Preprints2023, 2023050825. https://doi.org/10.20944/preprints202305.0825.v1
Chen, L. Continuum Mapping and S-binary Space Solution to Coin Weighing Problem. Preprints 2023, 2023050825. https://doi.org/10.20944/preprints202305.0825.v1
Chen, L. Continuum Mapping and S-binary Space Solution to Coin Weighing Problem. Preprints2023, 2023050825. https://doi.org/10.20944/preprints202305.0825.v1
APA Style
Chen, L. (2023). Continuum Mapping and S-binary Space Solution to Coin Weighing Problem. Preprints. https://doi.org/10.20944/preprints202305.0825.v1
Chicago/Turabian Style
Chen, L. 2023 "Continuum Mapping and S-binary Space Solution to Coin Weighing Problem" Preprints. https://doi.org/10.20944/preprints202305.0825.v1
Abstract
In the American Mathematical Monthly there is a problem that related to the governmental inspection of coins in the Lower Slobbovia, where it is desirable to classify and correct counterfeit coins by using a minimum number of measurements, but the article only proves the existence of the solution, which does not give a practical solution to the problem. In this article, we provide an effective method to achieve the identification of coin heaps using Dirac delta functions, Singularity functions and their selectivity, unit-order construction of continuum mappings and construction of discretization of unique basis vectors without attempted expansions in S-binary space.
Keywords
Inspection of coins; Continuum mappings; S-binary space
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.