How To Design Programs An Introduction To Programming and Computing (M. Felleisen, et al)
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How To Design Programs An Introduction To Programming and Computing (M. Felleisen, et al)
How To Design Programs An Introduction To Programming and Computing (M. Felleisen, et al)
The
main focus of this book is the design process that leads from problem statements
to well-organized solutions; it deemphasizes the study of programming language
details, algorithmic minutiae, and specific application domains. It covers the
following topics: Processing Simple Forms of Data, Processing Arbitrarily Large
Data, Abstracting Designs, Generative Recursion, Accumulating Knowledge,
Changing the State of Variables, Changing Compound Values.
Author(s): Matthias
Felleisen, Robert Bruce Findler, Matthew Flatt and Shriram Krishnamurthi
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
This note explains the
following topics: Text Compression, Error Detection and Correction,
Cryptography, Finite State Machines, Recursion and Induction, Relational
Database.
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.
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.
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.
This book covers the following
topics: Introduction to Programming,
General Computation Models, Declarative Programming Techniques, Declarative
Concurrency, Relational Programming, Object-Oriented Programming, Encapsulated
State, Concurrency and State, Specialized Computation Models, Semantics and
Virtual Machines.