|Similar eBooks: eBooks related to Algorithms COMP 3001
Data Structures CMSC 420
A document covering many data structures topics. Great for most university courses. The document has 117 pages.
Design and Analysis of Computer Algorithms CMSC 451
A book on the following subjects : Asymptotics and Summations, Divide and Conquer and Recurrences, Sorting, Dynaminc Programming, Longest Command Subsequence, Chain Matrix Multiplication, Memoization and Triangulation, Greedy Algorithms, Huffman Coding,
A book covering many graph theory topics.
A document on the following topics : notation and basics, primality testing, factoring integers, discrete logarithms, quantum computation, factoring polynomials in finite fields, factoring polynomials over integers, Lovaszs lattics basis reduction algorithm, multiplication of large integers, matrix multiplication, matrix flow, Bipartite matching.
A document containing on following topics: recursive functions, efficient computation, hierarchy theorems, the complexity classes L, P and PSPACE, nondeterministic computation, relations among complexity classes, complete problems, constructing more complexity-classes, probabilistic computation, pseudorandom number generators, parallel computation, relativized computation, interactive proofs.
A short document on linear programming.
Computer Graphics CMSC 427
A great book on computer graphics (147 pages). The book covers the following topics : Introduction, Graphics Systems and Models, OpenGL Glut, OpenGL Drawing and Viewports
Designing and Building Parallel Programs
Welcome to Designing and Building Parallel Programs ! My goal in this book is to provide a practitioner's guide for students, programmers, engineers, and scientists who wish to design and build efficient and cost-effective programs for parallel and distributed computer systems. I cover both the techniques used to design parallel programs and the tools used to implement these programs. I assume familiarity with sequential programming, but no prior exposure to parallel computing
The book treats programming language topics from a foundational, but not formal, perspective. It is foundational in that it focuses on core concepts in language design such as functions, records, objects, and types and not directly on applied languages such as C, C++, or Java. We show how the particular core concepts are realized in these modern languages, and so the reader should emerge from this book with a stronger sense of how they are structured.
Algorithms and Complexity
Classic text provides the perfect introduction to the tools of algorithmic design and analysis, concentrating on basic principles and illustrating them with well-chosen paradigms.
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