ISBN: 9781032881058 - design, development and analysis of lunar crescent visibility criterion with python (3 Ergebnisse)

Design, Development And Analysis Of Lunar Crescent Visibility Criterion With Python
Faid, Muhamad Syazwan Bin Nawawi, Mohd Saiful Anwar Mohd Saadon, Mohd Hafiz Mohd
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 49,62
EUR 11,82 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Paperback. Zustand: Brand New. 134 pages. 5.50x0.31x8.50 inches. In Stock.

Design, Development and Analysis of Lunar Crescent Visibility Criterion With Python
Muhamad Syazwan Bin Faid|Mohd Saiful Anwar Mohd Nawawi|Mohd Hafiz Mohd Saadon
- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 39,32
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. Muhamad Syazwan Faid, PhD. Department of Islamic Studies, Centre for General Studies and Co-curricular, Universiti Tun Hussein Onn MalaysiaMohd Saiful Anwar Mohd Nawawi, PhD. Department of Fiqh and Usul, Academy of Islamic Studies, U.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 65,34
EUR 35,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - The analysis of lunar crescent visibility criterion is vital in providing a comparative insight for predicting the visibility and suitability for Hijri calendar determination. While there have been previous attempts to measure the performance of lunar crescent visibility criterion, these attempts only apply to a singular analysis and not a comparative examination.Design, Development and Analysis of Lunar Crescent Visibility Criterion with Python explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database. The analysis tool, called HilalPy and HilalObs, was developed in the form of a Python library, so that it can be integrated into other software and webpages to enable deployment into various operating systems. This book will provide useful insights for the future development of lunar crescent visibility criterion, particularly for calendrical purposes.Key Features: - Presents an analysis tool for lunar crescent visibility based on an integrated lunar crescent report database - Offers researchers and practitioners the capability to perform comparative analyses of the percentage of reliability in lunar crescent visibility criteria, thereby contributing to the construction of robust criteria for determining the Hijri calendar - Provides a comprehensive resource for researchers, students, policymakers, and practitioners involved in the determination of the Hijri calendar.…