Analysis for Computer Scientists : Foundations Methods and Algorithms This textbook presents an algorithmic approach to mathematical analysis with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis the book makes thorough use of examples and explanations using MATLAB Maple and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis supported by computer experiments and programming exercises and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices together with further information on continuity; includes definitions propositions and examples throughout the text; supplementary software can be downloaded from the books webpage. Dr. Michael Oberguggenberger is a professor in the Department of Civil Engineering Sciences at the University of Innsbruck Austria. Dr. Alexander Ostermann is a professor in the Department of Mathematics at the University of Innsbruck Austria.