This book provides the latest scientific advances presented at the 9ECM for mathematical modeling of the biological process of chemotaxis. The wide range of techniques presented includes seven contributions from various countries, approaches exploring different properties and numerical approaches. Taxis is an important biological process that takes place in embryonic development, cancer invasion and tumor angiogenesis, among others. In fact, it is present in everything that induces movement in living organisms. More specifically, in chemotaxis, movement is induced by a chemical agent. Mathematical models of chemotaxis, since the pioneering work of Keller and Segel, attempt to reproduce this biological process. In addition to the advantages that mathematical models can have for optimizing resources and improving treatments associated with living organisms, their study from a theoretical and numerical perspective raises a mathematical challenge. The target audience of this book is any researcher interested in the mathematical analysis of biological phenomena associated with any type of taxis and modeled with PDEs.
This book provides the latest scientific advances presented at the 9ECM for mathematical modeling of the biological process of chemotaxis. The wide range of techniques presented includes seven contributions from various countries, approaches exploring different properties and numerical approaches. Taxis is an important biological process that takes place in embryonic development, cancer invasion and tumor angiogenesis, among others. In fact, it is present in everything that induces movement in living organisms. More specifically, in chemotaxis, movement is induced by a chemical agent. Mathematical models of chemotaxis, since the pioneering work of Keller and Segel, attempt to reproduce this biological process. In addition to the advantages that mathematical models can have for optimizing resources and improving treatments associated with living organisms, their study from a theoretical and numerical perspective raises a mathematical challenge. The target audience of this book is any researcher interested in the mathematical analysis of biological phenomena associated with any type of taxis and modeled with PDEs.
Dieses Buch zeigt, wie Unternehmen durch konsequente Nutzung von Daten und kunstlicher Intelligenz prazise Kundenintelligenz aufbauen. Es erklart die Modelle, Verfahren und Infrastrukturen, die notig sind, um Bedurfnisse zu erkennen, Verhalten vorherzusagen und Angebote in Echtzeit zu personalisieren. Der Schwerpunkt liegt auf skalierbaren Systemen fur den Massenmarkt: Datenarchitekturen, Machine-Learning-Modelle, automatisierte Segmentierung, Echtzeit-Entscheidungslogik und ethische Leitplanken. Fachlich klar, methodisch strukturiert und ohne unnotige Theorie liefert das Buch ein praxistaugliches Fundament fur moderne Personalisierungsstrategien im digitalen Zeitalter.