Structure and Interpretation of Computer Programs

Programming Fundamentals by Kenneth Leroy Busbee

This PDF Programming Fundamentals covers the following topics related to Programing Theory : Introduction to Programming Systems, Data and Operators, Functions, Conditions, Loops, Arrays, Strings and Files, Object-Oriented Programming.

Author(s): Kenneth Leroy Busbee, Dave Braunschweig

424 Pages

Theory in Programming Practice

This note explains the following topics: Text Compression, Error Detection and Correction, Cryptography, Finite State Machines, Recursion and Induction, Relational Database.

Author(s): Jayadev Misra

250 Pages

Notes on Coding Theory by J.I.Hall

This note covers the following topics: Sphere Packing and Shannon’s Theorem, Linear Codes, Hamming Codes, Generalized Reed-Solomon Codes, Modifying Codes, Codes over Subfields, Cyclic Codes, Weight and Distance Enumeration.

Author(s): J.I.Hall

204 Pages

Coding and Cryptography

Coding theory includes the study of compression codes which enable us to send messages cheaply and error correcting codes which ensure that messages remain legible even in the presence of errors. Topics covered includes: Codes and alphabets, Huffman’s algorithm, Shannon’s noiseless coding theorem , Hamming’s breakthrough, Shannon’s noisy coding theorem , Linear codes, Polynomials and fields , Cyclic codes, Stream ciphers, Asymmetric systems, Commutative public key systems, Trapdoors and signatures.

Author(s): T. W. Korner

104 Pages

Coding Theory and Applications

This book has been written as lecture notes for students who need a grasp of the basic principles of linear codes. Topics covered includes: Shannon theory and coding, Coding theory, Decoding of linear codes and MacWilliams identity, Coding theory - Constructing New Codes, Coding theory - Bounds on Codes, Reed-Muller codes, Fast decoding of RM codes and higher order RM codes.

Author(s): Enes Pasalic

154 Pages

Essential Coding Theory

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 Sudan

NA Pages

A Gentle Introduction to Programming (A. Cumming)

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Designing and Building Parallel Programs (I. Foster)

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 Tools.

Author(s): Ian Foster

NA Pages

Learning to Program (Alan Gauld)

Simple Sequences, The Raw Materials, Loops, Branching, Modules & Functions, Handling Files, Handling Text, Error Handling, Regular Expressions, Object Oriented Programming, Event Driven Programming, GUI Programming, Recursion, Python in Practice, Working with Databases, Using the Operating System, Inter-process communications and Network programming.

Author(s): Alan Gauld

NA Pages

Patterns for Adaptive Programming (AP)

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