Алгоритмы и компьютерные технологии для интерпретации гравитационных полей
Аннотация
Научный доклад посвящен разработке и анализу алгоритмов интерпретации гравитационных полей. Работа состоит из введения, основной части и заключения. Во введении обоснованы выбор темы научного доклада, его значимость и актуальность, проведен обзор литературы, составлен список целей и задач, подлежащих решению. В основной части работы рассматриваются теоретические аспекты, посвященные разработке и анализу алгоритма интерпретации гравиметрических данных, продемонстрирована работоспособность алгоритма на модельных примерах. В заключении содержатся выводы по оценке работы алгоритма и рекомендации по дальнейшей работе.
The scientific report is devoted to the development and analysis of algorithms for the interpretation of gravitational fields. The work consists of an introduction, the main part and a conclusion. In the introduction, the choice of the topic of the scientific report, its significance and relevance are justified, a literature review is conducted, a list of goals and tasks that should be solved is compiled. In the main part of the work, theoretical aspects devoted to the development and analysis of an algorithm for interpreting gravimetric data are considered, the algorithm's operability is demonstrated using model examples. The conclusion contains results on the evaluation of the algorithm and recommendations for further work.
The scientific report is devoted to the development and analysis of algorithms for the interpretation of gravitational fields. The work consists of an introduction, the main part and a conclusion. In the introduction, the choice of the topic of the scientific report, its significance and relevance are justified, a literature review is conducted, a list of goals and tasks that should be solved is compiled. In the main part of the work, theoretical aspects devoted to the development and analysis of an algorithm for interpreting gravimetric data are considered, the algorithm's operability is demonstrated using model examples. The conclusion contains results on the evaluation of the algorithm and recommendations for further work.