Showing results for "Mathematical Foundations of Computer Science English"

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the approximation capabilities of deep neural networks and the theory and algorithms of optimal control and reinforcement learning integrated with deep learning techniques to contemporary generative models that drive today’s advances in artificial intelligence.De...

This book presents topics from mathematics which are relevant and useful to computer science. This book treats basic topics such as number theory, set theory, functions etc. in a simple way. Each chapter has been planned as independent unit so that various interrelated topics can also be read independently. Ample amount of examples and problems are given at the end of each chapter to help both the students and researchers. Hints and answers are also given for the problems in the exercise t...

This Text Book is designed to meet the requirements of the under graduate students of B.Sc (Computer Science), B.C.A., B.Sc (CT) and post graduate students of M.C.A., M.Sc (Computer Science) and Computer Technologies. This text is for beginners as well as experts who wish to learn this subject. The language adopted is simple and the subject-matter self explanatory in nature. A variety of problems has been included in each chapter to enable the reader to gain further insight and clarity of ...

Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of computation topics interleaved throughout. Students learn about mathematical concepts just in time to apply them to theory of computation ideas. For instance, sets motivate the study of finite automata, direct proof is practised using closure properties, induction is used to prove the language of an automaton...

This two volume set LNCS 9234 and 9235 constitutes the refereed conference proceedings of the 40th International Symposium on Mathematical Foundations of Computer Science, MFCS 2015, held in Milan, Italy, in August 2015. The 82 revised full papers presented together with 5 invited talks were carefully selected from 201 submissions. The papers feature high-quality research in all branches of theoretical computer science. They have been organized in the following topical main sections: logic...

Academic English for Computer Science aims to provide a tool for the effective study of computational science and technology. It addresses international students who use English as a second language. It can be used as a foundation course in undergraduate programs of computer science, computer engineering, and information technology.The material of this course draws content from core areas of computer science, aspiring to create an initial induction in the field. Fu...

This two volume set LNCS 9234 and 9235 constitutes the refereed conference proceedings of the 40th International Symposium on Mathematical Foundations of Computer Science, MFCS 2015, held in Milan, Italy, in August 2015. The 82 revised full papers presented together with 5 invited talks were carefully selected from 201 submissions. The papers feature high-quality research in all branches of theoretical computer science. They have been organized in the following topical main sections: logic...

This book explores the intersection of formal sciences and society. It covers a wide range of topics, from the ethics of algorithms to the mathematics of power. It delves into data privacy, the limits of computation, and formal verification. The book also examines the role of formal sciences in modeling pandemics and climate change. It explores logical fallacies, conspiracy theories, and formal logic. Statistical literacy, the statistics of inequality, and the media are also discussed. The...

Principles of Computer Science is an invigorating and rapid adventure that covers core introductory theoretical computer science topics, including discrete mathematics, logic, programming languages, and programming language pragmatics. Readers dive deep into the syntax and semantics of constructing a small yet usable programming language (interpreter) containing paradigms from functional and non-functional programming. Additionally, users will gain an understanding of compilation by writin...

Foundations of Mathematical Thought: The Language of Numbers explores the fundamental nature of mathematics, from its formal foundations to its logical structures. Covering key topics such as axiomatic systems, abstraction, proof techniques, and symbolic logic, this book provides a rigorous yet accessible introduction to mathematical thought. Ideal for students, educators, and enthusiasts, it bridges intuition and formalism, offering deep insights into the principles that ...

Discover the invisible architecture of our modern reality, where theoretical mathematics and bare-metal silicon merge to build the digital ecosystems of tomorrow.This book takes you beyond the illusion of the glowing screen. It explores the strict physical reality of computation. Journey into the rigid metropolis of processor architectures. Discover the hidden secrets of memory hierarchies. Dive deep into the chaotic universe of multi-threaded execution. Learn how machines process ...

This book constitutes the refereed proceedings of the International Symposium on Logical Foundations of Computer Science, LFCS 2018, held in Deerfield Beach, FL, USA, in January 2018.The 22 revised full papers were carefully reviewed and selected from 22 submissions. The scope of the Symposium is broad and includes constructive mathematics and type theory; homotopy type theory; logic, automata, and automatic structures; computability and randomness; logical foundations of programmi...