Maths for computer scientists

`Towards the end of the nineteenth century, Frege gave us the abstraction principles and the general notion of functions.

An accessible introduction to coalgebra, with clear mathematical explanations and numerous examples and exercises.

An accessible introduction to coalgebra, with clear mathematical explanations and numerous examples and exercises.

Learn to program in R from the experts with this new, color edition of Braun and Murdoch''s bestselling textbook.

Presents the state of the art in the theory of ridge functions, providing a solid theoretical foundation.

Presents the state of the art in the theory of ridge functions, providing a solid theoretical foundation.

Covers extensions of Buchberger''s Theory and Algorithm, and promising recent alternatives to Gröbner bases.

Covers extensions of Buchberger''s Theory and Algorithm, and promising recent alternatives to Gröbner bases.

This graduate-level text gives a thorough overview of the analysis of Boolean functions, beginning with the most basic definitions and proceeding to advanced topics.

This graduate-level text gives a thorough overview of the analysis of Boolean functions, beginning with the most basic definitions and proceeding to advanced topics.

Can you trust results from modelling and simulation?

This advanced graduate textbook gives an authoritative and insightful description of the major ideas and techniques of public key cryptography.

Develops mathematical and probabilistic tools needed to give rigorous derivations and applications of fundamental results in signal processing theory.

This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis.

This book provides the mathematical basis for investigating numerically equations from physics, life sciences or engineering.

This book provides the mathematical basis for investigating numerically equations from physics, life sciences or engineering.

This book covers local search for combinatorial optimization and its extension to mixed-variable optimization.

This book covers local search for combinatorial optimization and its extension to mixed-variable optimization.

A comprehensive exploration of the mathematics behind the modeling and rendering of computer graphics scenes Mathematical Structures for Computer Graphics presents an accessible and intuitive approach to the mathematical ideas and techniques necessary for two- and three-dimensional computer graphics.

A comprehensive exploration of the mathematics behind the modeling and rendering of computer graphics scenes Mathematical Structures for Computer Graphics presents an accessible and intuitive approach to the mathematical ideas and techniques necessary for two- and three-dimensional computer graphics.

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation.

The first edition, published in 1973, has become a classic reference in the field.

Advances in computer technology have conveniently coincided withtrends in numerical analysis toward increased complexity ofcomputational algorithms based on finite difference methods.

This accessible overview introduces the Christoffel–Darboux kernel as a novel, simple and efficient tool in statistical data analysis.

This Element reviews fundamental models and methods for the geometric description of real networks.

This Element describes a generalisation of percolation to multilayer networks: weak multiplex percolation.

This Element provides an overview of the ideas, methods and techniques to deal with complex networks datasets.

This Element explores the relations between dynamics and modularity on networks, emphasising the importance of time scale separation and network symmetry.

This Element presents one of the most recent developments in network science in a highly accessible style.

Learn how to automatically prove mathematical statements in combinatorics, sequences, and number theory.

Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

Graduate-level introduction to error-correcting codes, which are used to protect digital data and applied in public key cryptosystems.

A modern introduction to the Poisson process, with general point processes and random measures, and applications to stochastic geometry.

A modern introduction to the Poisson process, with general point processes and random measures, and applications to stochastic geometry.

Offers a self-contained work presenting basic ideas, classical results, current state of the art and possible future directions in proof complexity.

An overview of the techniques developed to circumvent computational intractability, a key challenge in many areas of computer science.

An overview of the techniques developed to circumvent computational intractability, a key challenge in many areas of computer science.

This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems.

Now in its third edition, this highly successful textbook is widely regarded as the ''bible of computer algebra''.

Now in its third edition, this highly successful textbook is widely regarded as the ''bible of computer algebra''.

Master the math needed to excel in data science, machine learning, and statistics.

Master the math needed to excel in data science, machine learning, and statistics.

This book discusses the current research concerning public key cryptosystems.

This textbook provides a hands-on treatment of the subject of optimization.

Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.

Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.

This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry.