Mathematics for Computer Science
This text explains how to use mathematical models and methods to analyze problems that arise in computer science. Topics covered includes: Proofs , The Well Ordering Principle, Logical Formulas, Mathematical Data Types, Induction, Recursive Data Types, Infinite Sets, Structures, Number Theory, Directed graphs and Partial Orders, Communication Networks, Simple Graphs, Planar Graphs, Counting.
Author(s): Eric Lehman, F Thomson Leighton and Albert R Meyer
1006 Pages 
Mathematics for Computer Science
This text explains how to use mathematical models and methods to analyze problems that arise in computer science. Topics covered includes: Proofs , The Well Ordering Principle, Logical Formulas, Mathematical Data Types, Induction, Recursive Data Types, Infinite Sets, Structures, Number Theory, Directed graphs and Partial Orders, Communication Networks, Simple Graphs, Planar Graphs, Counting.
Author(s): Eric Lehman, F Thomson Leighton and Albert R Meyer
1006 Pages
This course note explains computer programming concepts includes object-oriented programming techniques: class methods, wrapper classes for primitive types, inheritance, abstract classes, events and listeners, packaging your code as a stand-alone program or an applet, interfaces, garbage collection, introduction to exceptions; structured programming techniques: switch statements, nested loops, arrays (seaching, sorting, multidimensional).
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Grids and GridTechnologies for Wide Area Distributed Computing
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Introduction toComputer Science
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CommunicatingSequential Processes (CSP)
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Foundations ofComputer Science
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Templates forthe Solution of Linear Systems Building Blocks for the Iterative Methods
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