Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Mai 2026
Genre:	Schulbücher
	Business Intelligence / Computeranwendungen in Industrie und Technologie / Digital Transformation / Digitale Transformation / Informationstechnik (IT), allgemeine Themen / Optimierungsalgorithmen / optimization algorithms
ISBN:	9783112234945
EAN-Code:	9783112234945
Verlag:	De Gruyter
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 240 mm / B 170 mm / D
Gewicht:	970 gr
Seiten:	500
Illustration:	162 ill., 102 tbl., Tabellen, schwarz-weiss, Illustrationen, nicht spezifiziert
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In today's data-driven era, the convergence of mathematics, computing, artificial intelligence, and blockchain is emerging as a significant area at the intersection of applied mathematics and computer science, particularly in decision-making. This book explores the applications of advanced mathematical models and computational algorithms to AI-driven strategies and blockchain technologies.It covers advanced linear algebra techniques, probability theory, optimization methods, game theory, cryptography, and statistical learning, providing deep mathematical insights into AI, blockchain, and data-driven decision-making. The book delves into matrix computations and eigenvalue problems relevant to deep learning, Bayesian inference for predictive modeling, and reinforcement learning for dynamic decision-making.Additionally, optimization methods such as convex programming and Lagrangian multipliers enhance resource allocation, while cryptographic protocols ensure the security of blockchain systems. By integrating these mathematical frameworks, this book provides researchers, professionals, and students with practical tools for addressing complex business challenges ranging from fraud detection to automated contract execution.