Data Structures and Algorithms

Resonance, 1996

In this article, we show how the general abstraction of a program as being composed of data and algorithms aids in the understanding of the universality of computers and the development of programs. We describe a simple organization of the memory unit of a computer,and discuss number representation. Subsequently, we show the need and use of types in programming. Further, we describe simple data types and illustrate the use of simple datastructures in the development of programs.

INTERNATIONAL LEXICON OF AESTHETICS, 2019

It. Algoritmo; Fr. Algorithme; Germ. Algorithmus; Span. Algoritmo. The word stems from the medieval Latin algorithmus or algorismus, which is derived from the name of the Arab mathematician Muhammad ibn Musa al-Khwarizmi (Ninth century AD), a native of the Khwarazm region in Central Asia. In the Middle Ages the term designated all procedures for numerical calculation using Arabic numerals. In today's use, an algorithm is a well-defined and finite set of steps to solve a problem or class of problems. In this form, problem solving consists of the transformation of a specific input, which represents a starting state, into a specific output, the end state. Algorithms are implemented in the execution of computer programs, but they can also be formulated as systems of rules in natural language (Christian, Griffith 2016). The concept of algorithms is associated with the idea of automatization and the transfer of control to external and mechanical procedures. Concerning the relationship with aesthetics and the arts, algorithms have been used as tools in the creative process and for the generation of artworks. In recent times, algorithms have been implemented in the observation and analysis of individual aesthetic choices and in the suggestion and evaluation systems employed in all contemporary digital platforms. Consumption of cultural and aesthetic products is therefore increasingly mediated and regulated by software and algorithms that track human behavior. This constitutes the core of recent debates about the relationship between human activity, digitalization, and artificial intelligence.

2003

Abstract Algorithm Engineering is concerned with the design, analysis, implementation, tuning, debugging and experimental evaluation of computer programs for solving algorithmic problems. It provides methodologies and tools for developing and engineering efficient algorithmic codes and aims at integrating and reinforcing traditional theoretical approaches for the design and analysis of algorithms and data structures.

Digital Keywords (Ben Peters, ed.), 2016

Acda Didactica Norge

The system of key concepts contains the most important key concepts related to the development tasks of knowledge areas and their vertical hierarchy as well as the links of basic key concepts of different knowledge areas. " (Vass 2011) One of the most important of these concepts is the algorithm. In everyday life, when learning or working we continually make and execute algorithms, design series of activities and information flow processes, which make this world fully comprehensible only for those who are familiar with the basics of these activities. We believe that the algorithm is the most important concept in informatics. If it is overshadowed in IT education, you will get a distorted picture, which might lead IT education astray. In this article we concentrate on what an average student is supposed to learn about the concept of algorithm and what scheduling is to be applied to achieve our aims in years 1-4., 5-6., 7-8. and 9-10. Information technology is difficult to define...

COSC 302 surveys the most important algorithms and data structures in use in our digital world. Particular emphasis is given to algorithms for sorting, searching, and string processing. Fundamental algorithms in a number of other areas are basic data structure operations are covered. The course will concentrate on developing implementations, understanding their performance characteristics, and estimating their potential effectiveness in applications. File system organization and access methods. Course projects require advanced problem-solving, design, and implementation skills.

2021

Algorithmics is the study and practice of taking a high-level description of a program's purpose and, from it, producing an executable program of acceptable efficiency. Each step in that process is justified by rigorous, careful reasoning at the moment it is taken; and the repertoire of steps allowed by that rigour, at each stage, guides the development of the algorithm itself. IFIP's Working Group 2.1 [i] has always been concerned with Algorithmics: both the design of its notations and the laws that enable its calculations. ALGOL 60 had already shown that orthogonality, simplicity and rigour in a programming language improves the quality of its programs. Our Group's title "Algorithmic Languages and Calculi" describes our activities: the discovery of precise but more general rules of calculational reasoning for the many new styles of programming that have developed over the 60 years since IFIP's founding. As our contribution to the birthday celebrations, we outline how we have tried to contribute during those decades to the rigorous and reliable design of computer programs of all kinds-to Algorithmics. (Roman-numbered references like [i] in this abstract refer to details given in Sect. 10.