Step into the World of Mathematics

Math Is Beautiful and Belongs to All of Us
1. Auflage 2021
ISBN: 978-3-030-73345-2
Verlag: Springer International Publishing

Buch, Englisch, 116 Seiten, Format (B × H): 127 mm x 203 mm, Gewicht: 147 g

Modern life is increasingly relying on digital technology, which in turn runs on mathematics. However, this underlying math is hidden from us. That is mostly a good thing since we do not want to be solving equations and calculating fractions just to get things done in our everyday business. But the mathematical details do matter for anyone who wants to understand how stuff works, or wishes to create something new in the jungle of apps and algorithms. This book takes a look at the mathematical models behind weather forecasting, climate change prediction, artificial intelligence, medical imaging and computer graphics. The reader is expected to have only a curious mind; technical math skills are not needed for enjoying this text.

Zielgruppe

Popular/general

Autoren/Hrsg.

Siltanen, Samuli

Weitere Mitwirkende

Snellman, Lauri

Fachgebiete

• Geowissenschaften Geologie Meteorologie, Klimatologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Radiologie, Bildgebende Verfahren
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Foreword: Mathematics, our invisible friend.- 1. My adventures in the world of mathematics.- 2. Examples of mathematical models.- 3. The large models of Earth and space.- 4. Mathematics in the service of doctors.- 5. Is humanity mathematics as well?.- Mathematics belongs to everyone.

Über Autor(innen)

Samuli Siltanen is a Professor of Industrial Mathematics and Vice Dean at the University of Helsinki. He is an expert on inverse problems, with a special interest in computational methods for medical imaging and nondestructive testing. His work on nonlinear imaging algorithms is used in hospital equipment and in nuclear safeguards protocols. Siltanen is an award-winning popularizer of science, appearing regularly on Finnish national TV, writing books, and publishing his own YouTube channel Samun tiedekanava.