Learn IT - Books tags computation

Programming F# 3.0

O'Reilly, 2012

Have you ever been in a hurry and pounded in a nail using something other than a hammer? Or perhaps settled an argument concerning distances with “the length of my arm is about 20 inches, and that’s about two arm lengths...”? You might not be willing to fall for such obviously flawed shortcuts, but...

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)

Springer, 2012

From the reviews of the previous editions

".... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students, teachers, and researchers in this area. The author finds a striking synthesis of nice and interesting...

Handbook of Signal Processing Systems

Springer, 2018

In this new edition of the Handbook of Signal Processing Systems, many of the chapters from the previous editions have been updated, and several new chapters have been added. The new contributions include chapters on signal processing methods for light field displays, throughput analysis of dataflow graphs, modeling for...

Elimination Practice: Software Tools and Applications (With CD-Rom)

Imperial College Press, 2004

This book is a tresure … will be welcomed by all who are active in the areaof elimination methods. -- Bruno Buchberger Professor of Computer Mathematics Johannes Kepler University, Austria

With a software library included, this book provides an elementary introduction to polynomial elimination in practice....

Concise Guide to Computation Theory

Springer, 2011

What is the theory of computation all about? The theory of computation embodies the principle by which computers have become the basis of modern digital technology, which makes a computer perform as desired, and which, consequently, has led to the prosperity of our advanced information society (just as physical sciences constitute the...

A First Course in Statistical Programming with R

Cambridge University Press, 2008

This text began as notes for a course in statistical computing for second year actuarial and statistical students at the University of Western Ontario. Both authors are interested in statistical computing, both as support for our other research and for its own sake. However, we have found that our students were not learning the right sort of...

Erlang Programming

O'Reilly, 2009

This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex...

Modern Computer Arithmetic (Cambridge Monographs on Applied and Computational Mathematics)

Cambridge University Press, 2010

This is a book about algorithms for performing arithmetic, and their implementation on modern computers. We are concerned with software more than hardware – we do not cover computer architecture or the design of computer hardware since good books are already available on these topics. Instead, we focus on algorithms for...

The World Computer: Derivative Conditions of Racial Capitalism (Thought in the Act)

Duke University Press, 2021

In The World Computer Jonathan Beller forcefully demonstrates that the history of commodification generates information itself. Out of the omnipresent calculus imposed by commodification, information emerges historically as a new money form. Investigating its subsequent financialization of daily life and colonization of semiotics,...

An Introduction to Numerical Analysis

John Wiley & Sons, 1989

This introduction to numerical analysis was written for students in mathematics, the physical sciences, and engineering, at the upper undergraduate to beginning graduate level. Prerequisites for using the text are elementary calculus, linear algebra, and an introduction to differential equations. The student's level of...

Evolutionary Computation in Combinatorial Optimization: 6th European Conference, EvoCOP 2006

Springer, 2006

Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated...

A Concise Introduction to Languages and Machines (Undergraduate Topics in Computer Science)

Springer, 2008

This book focuses on key theoretical topics of computing, in particular formal languages and abstract machines. It is intended primarily to support the theoretical modules on a computer science or computing-related undergraduate degree scheme.

Though the book is primarily theoretical in nature, it attempts to avoid the...

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