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Bemærk: Kan leveres før jul.
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.
Bemærk: Kan ikke leveres før jul.
In particular the author covers concepts related to information, classical computing, logic, reversible computing, quantum mechanics, quantum computing, thermodynamics and some artificial intelligence and biology, all approached from the viewpoint of computer sciences.
Bemærk: Kan ikke leveres før jul.
Wallis's book on discrete mathematics is a resource for an introductory course in a subject fundamental to both mathematics and computer science, a course that... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
This easy-to-follow book introduces the mathematical language, knowledge and problem-solving skills needed for the study of computing. The language is both qualitative and quantitative, and includes basic notions of logic used for representation and proof.
Bemærk: Kan ikke leveres før jul.
This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
This book is an introduction to graph transformation as a foundation to model-based software engineering at the level of both individual systems and domain-specific modelling languages. The first part of the book presents the fundamentals in a precise, yet largely informal way.
Bemærk: Kan ikke leveres før jul.
This revised and expanded new edition includes supplementary web-based teaching resources and a new conceptual approach to parsing algorithms that applies to extended Backus-Naur Form grammars. It delivers inclusive, practicable coverage of the field.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.