High Quality Content by WIKIPEDIA articles! The Riemann hypothesis is one of the most important conjectures in mathematics. It is a statement about the zeros of the Riemann zeta function. Various geometrical and arithmetical objects can be described by so-called global L-functions, which are formally similar to the Riemann zeta-function. One can then ask the same question about the zeros of these L-functions, yielding various generalizations of the Riemann hypothesis. Many mathematicians...
High Quality Content by WIKIPEDIA articles! The Riemann hypothesis is one of the most important conjectures in mathematics. It is a statement about the zeros of the Riemann zeta function. Various geometrical and arithmetical objects can be described by so-called global L-functions, which are formally similar to the Riemann zeta-function. One can then ask the same question about the zeros of these L-functions, yielding various generalizations of the Riemann hypothesis. Many mathematicians believe these generalizations of the Riemann hypothesis to be true. The only cases of these conjectures which have been proven occur in the function field case (not the number field case).
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The textbook written by the professors of the Biological Chemistry Department of the I.M. Sechenov First Moscow State Medical University (Sechenov University) approaches сomplicated modern scientific data about a molecular basis of the functioning of the organism in an intelligible form. This edition contains illustrative material, test tasks and situational problems in each of 14 sections. All the problems proposed for the individual solution have "guiding" questions that help students to solve them. Most of these tasks are based on the questions covered in the special course "Biochemistry of connective tissue. Biochemistry of mixed saliva". The textbook is intended for medical students who specialize in Dentistry, and can be...
Издательство:
ГЭОТАР-Медиа
Дата выхода: октябрь 2019
Книга рассказывает о применении искусственного интеллекта и машинного обучения в бизнесе и инженерной практике. Подробно описаны популярные алгоритмы машинного обучения и разъяснено, когда их целесообразно использовать. Приведены примеры построения моделей машинного обучения на языке Python с помощью библиотеки Scikit-Learn, а также создания нейронных сетей посредством библиотек Keras и TensorFlow....
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