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Maths for Computing

Maths for Computing

Computer science is underpinned by mathematics. A solid understanding of how mathematics is used to solve problems and develop computer programs is fundamental to the study of computer science.

2018 | Book

The Discrete Math Workbook

A Companion Manual for Practical Study

This practically-oriented textbook presents an accessible introduction to discrete mathematics through a substantial collection of classroom-tested exercises. Each chapter opens with concise coverage of the theory underlying the topic, reviewing …

Authors:
Prof. Sergei Kurgalin, Sergei Borzunov

2018 | Book

Fundamentals of Discrete Math for Computer Science

A Problem-Solving Primer

This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to …


Authors:
Prof. Tom Jenkyns, Dr. Ben Stephenson

2017 | Computer Science | Book

Applied Logic for Computer Scientists

Computational Deduction and Formal Proofs

This book provides an introduction to logic and mathematical induction which are the basis of any deductive computational framework. A strong mathematical foundation of the logical engines available in modern proof assistants, such as the PVS …

Authors:
Mauricio Ayala-Rincón, Flávio L. C. de Moura

2017 | Computer Science | Book

Basic Graph Theory

This undergraduate textbook provides an introduction to graph theory, which has numerous applications in modeling problems in science and technology, and has become a vital component to computer science, computer science and engineering, and …

Author:
Md. Saidur Rahman

2006 | Computer Science | Book

Comprehensive Mathematics for Computer Scientists 1

Sets and Numbers, Graphs and Algebra, Logic and Machines, Linear Geometry (Second Edition)

A second edition of a book is a success and an obligation at the same time. We are satis ed that a number of university courses have been orga› nized on the basis of the rst volume of Comprehensive Mathematics for Computer Scientists. The …

Authors:
Guerino Mazzola, Gérard Milmeister, Jody Weissmann

2005 | Computer Science | Book

Comprehensive Mathematics for Computer Scientists 2

Calculus and ODEs, Splines, Probability, Fourier and Wavelet Theory, Fractals and Neural Networks, Categories and Lambda Calculus

This second volume of a comprehensive tour through mathematical core subjects for computer scientists completes the ?rst volume in two - gards: Part III ?rst adds topology, di?erential, and integral calculus to the t- ics of sets, graphs, algebra …

Authors:
Guerino Mazzola, Gérard Milmeister, Jody Weissmann

2011 | Computer Science | Book

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and …

Author:
Boris Mirkin

2015 | Computer Science | Book

Foundation Mathematics for Computer Science

A Visual Approach

John Vince describes a range of mathematical topics to provide a foundation for an undergraduate course in computer science, starting with a review of number systems and their relevance to digital computers, and finishing with differential and …

Author:
John Vince

2016 | Computer Science | Book

Guide to Discrete Mathematics

An Accessible Introduction to the History, Theory, Logic and Applications

This stimulating textbook presents a broad and accessible guide to the fundamentals of discrete mathematics, highlighting how the techniques may be applied to various exciting areas in computing. The text is designed to motivate and inspire the …

Author:
Gerard O'Regan

2017 | Computer Science | Book

Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful …

Authors:
Laura Igual, Santi Seguí

2013 | Computer Science | Book

Modelling Computing Systems

Mathematics for Computer Science

This engaging text presents the fundamental mathematics and modelling techniques for computing systems in a novel and light-hearted way, which can be easily followed by students at the very beginning of their university education. Key concepts are …

Authors:
Faron Moller, Georg Struth

2012 | Computer Science | Book

Sets, Logic and Maths for Computing

This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and …

Author:
David Makinson

2015 | Computer Science | Book

Numerical Python

A Practical Techniques Approach for Industry

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically …

Author:
Robert Johansson

2014 | Computer Science | Book

MATLAB Optimization Techniques

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions …

Author:
César Pérez López

2014 | Computer Science | Book

MATLAB Mathematical Analysis

MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples and exercises resolved with MATLAB software. The purpose is to give you examples of the mathematical analysis functions offered …

Author:
César Pérez López