DOI

The paper discusses various methods of adaptive spline approximations for the flow of function values. The number of K knots in the adaptive grid determines the required amount of memory for storage of compression results. The number of M knots of the original grid characterizes the number of operations required to obtain adaptive compression. In the case of access to the derivative values the number of digital operations is proportional to the number M. If it does not have access to the last ones then the number of required operations has the order of M2 (in the general case). If additionally the approximated flow is convex, then the number of required operations has the order of M log2M. In all cases the result requires the computer memory amount of the order of K.

Язык оригиналаанглийский
Название основной публикацииProceedings - 2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы304-307
Число страниц4
ISBN (электронное издание)9781728166957
DOI
СостояниеОпубликовано - янв 2020
Событие2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020 - Madrid, Испания
Продолжительность: 18 янв 202020 янв 2020

Серия публикаций

НазваниеProceedings - 2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020

конференция

конференция2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020
Страна/TерриторияИспания
ГородMadrid
Период18/01/2020/01/20

    Предметные области Scopus

  • Искусственный интеллект
  • Компьютерные сети и коммуникации
  • Прикладные компьютерные науки
  • Технология (разное)
  • Вычислительная математика
  • Теория оптимизации
  • Моделирование и симуляция
  • Математика и теория расчета

ID: 70501442