An Introduction to Mathematics For Computing And IT Practitioners

Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity.

Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities – such as processes, peers, processors, nodes, or agents – that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities.

In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science.

by Christopher N. Chapman (Author), Elea McDonnell Feit (Author)

Authors: Zielesny, Achim
Serves as introduction to curve fitting, clustering and machine learning along with topics like mathematical optimization or evolutionary algorithms
Outlines all concepts and ideas in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics
Extended, revised and interactive 2nd edition updated to the use of CIP 2.0 for Mathematica 10