This book explains the following topics: Linear Codes, Probability
as Fancy Counting and the q-ary Entropy Function, Combinatorics, The Greatest
Code of Them All: Reed-Solomon Codes, What Happens When the Noise is Stochastic:
Shannon's Theorem, Bridging the Gap Between Shannon and Hamming: List Decoding,
Code Constructions, Code Concatenation, Algorithms, Decoding Concatenated Codes,
Efficiently Achieving the Capacity of the BSCp, Efficient Decoding of
Reed-Solomon Codes, Efficiently Achieving List Decoding Capacity, Applications.
Author(s): Venkatesan Guruswami, Atri Rudra and Madhu
This book covers the following topics: Computer Architecture,
Functions, Files, Reading and Writing Simple Records, Developing Robust
Programs, Sharing Functions with Code Libraries, Intermediate Memory Topics,
High-Level Languages and Optimization.
emphasizes the role of computer languages as vehicles for expressing knowledge
and it presents basic principles of abstraction and modularity, together with
essential techniques for designing and implementing computer languages.
This book provides 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. It covers
the following topics: Parallel Computers and Computation, Designing Parallel
Algorithms, Quantitative Basis for Design, Putting Components Together, Tools,
Fortran M, High Performance Fortran, Message Passing Interface and Performance