Matters Computational: Ideas, Algorithms, Source Code (formerly: Algorithms for Programmers)

Selected algorithms for programmers who are interested in the treated algorithms and actually want to create a working and reasonably optimized code.

**Publication date**: 23 Dec 2010

**ISBN-10**:
3642147631

**ISBN-13**:
9783642147630

**Paperback**:
978 pages

**Views**: 104,003

Matters Computational: Ideas, Algorithms, Source Code (formerly: Algorithms for Programmers)

Selected algorithms for programmers who are interested in the treated algorithms and actually want to create a working and reasonably optimized code.

From the Preface:

More Resources:

This is a book for the computationalist, whether a working programmer or anyone interested in methods of computation. The focus is on material that does not usually appear in textbooks on algorithms.

Where necessary the underlying ideas are explained and the algorithms are given formally. It is assumed that the reader is able to understand the given source code, it is considered part of the text. We use the C++ programming language for low-level algorithms. However, only a minimal set of features beyond plain C is used, most importantly classes and templates. For material where technicalities in the C++ code would obscure the underlying ideas we use either pseudocode or, with arithmetical algorithms, the GP language. Appendix C gives an introduction to GP.

Example computations are often given with an algorithm, these are usually made with the demo programs referred to. Most of the listings and figures in this book were created with these programs. A recurring topic is practical efficiency of the implementations. Various optimization techniques are described and the actual performance of many given implementations is indicated.

The accompanying software, the FXT [21] and the hfloat [22] libraries, are written for POSIX compliant platforms such as the Linux and BSD operating systems. The license is the GNU General Public License (GPL), version 3 or later, see http://www.gnu.org/licenses/gpl.html.

More Resources:

Tweet

About The Author(s)

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors