Algoritma pemrograman

2021 ◽  
Author(s):  
Siti Nurhaliza nurhalizah
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Data Type ◽  
Data Types ◽  
Everyday Language ◽  
Language Data ◽  
Flow Charts

An algorithm is a logical step or sequence in making a decision to solve a problem. Algorithms can be written in many ways, such as using everyday language, flow charts and even using programming languages such as C or C++. And in the algorithm there is also a Flowchart which means an image or graph of the steps that must be followed to make it easier to solve the problem. Programming languages cannot be separated from data types, if/else, arrays because these have an important role for beginners or those who want to know about programming languages. Writing scientific articles can make it easier for readers to know about algorithms and programming languages. Keywords: algorithm, algorithm and programming, programming language, data type, writing algorithm

scholarly journals ALGORITMA DAN BAHASA PEMPROGRAMAN

2021 ◽  
Author(s):  
Irsadilla Amara
Keyword(s):  
Programming Languages ◽  
Data Types ◽  
Everyday Language ◽  
Flow Charts

An algorithm is a logical step or sequence in making a decision to solve a problem. Algorithms can be written in many ways, such as using everyday language, flow charts and even using programming languages such as C or C++. And in the algorithm there is also a Flowchart which means an image or graph of the steps that must be followed to make it easier to solve the problem. Programming languages cannot be separated from data types, if/else, arrays because these have an important role for beginners or those who want to know about programming languages. Writing scientific articles can make it easier for readers to know about algorithms and programming languages.

scholarly journals Tree-Shaped Formats of Address Programming Language

2021 ◽  
Vol 4 ◽  
pp. 78-87
Author(s):  
Yury Yuschenko
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Theoretical Research ◽  
Direct Access ◽  
Complex Data ◽  
Abstract Data Types ◽  
Data Types ◽  
Abstract Data ◽  
The One ◽  
High Level

In the Address Programming Language (1955), the concept of indirect addressing of higher ranks (Pointers) was introduced, which allows the arbitrary connection of the computer’s RAM cells. This connection is based on standard sequences of the cell addresses in RAM and addressing sequences, which is determined by the programmer with indirect addressing. Two types of sequences allow programmers to determine an arbitrary connection of RAM cells with the arbitrary content: data, addresses, subroutines, program labels, etc. Therefore, the formed connections of cells can relate to each other. The result of connecting cells with the arbitrary content and any structure is called tree-shaped formats. Tree-shaped formats allow programmers to combine data into complex data structures that are like abstract data types. For tree-shaped formats, the concept of “review scheme” is defined, which is like the concept of “bypassing” trees. Programmers can define multiple overview diagrams for the one tree-shaped format. Programmers can create tree-shaped formats over the connected cells to define the desired overview schemes for these connected cells. The work gives a modern interpretation of the concept of tree-shaped formats in Address Programming. Tree-shaped formats are based on “stroke-operation” (pointer dereference), which was hardware implemented in the command system of computer “Kyiv”. Group operations of modernization of computer “Kyiv” addresses accelerate the processing of tree-shaped formats and are designed as organized cycles, like those in high-level imperative programming languages. The commands of computer “Kyiv”, due to operations with indirect addressing, have more capabilities than the first high-level programming language – Plankalkül. Machine commands of the computer “Kyiv” allow direct access to the i-th element of the “list” by its serial number in the same way as such access is obtained to the i-th element of the array by its index. Given examples of singly linked lists show the features of tree-shaped formats and their differences from abstract data types. The article opens a new branch of theoretical research, the purpose of which is to analyze the expe- diency of partial inclusion of Address Programming in modern programming languages.

scholarly journals The ins and outs of Clean I/O

1995 ◽  
Vol 5 (1) ◽  
pp. 81-110 ◽  
Author(s):  
Peter Achten ◽  
Rinus Plasmeijer
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Functional Programming ◽  
Data Types ◽  
Spreadsheet Program ◽  
Functional Programming Languages ◽  
Hard Time ◽  
Functional Programming Language ◽  
Algebraic Data Types ◽  
High Level

AbstractFunctional programming languages have banned assignment because of its undesirable properties. The reward of this rigorous decision is that functional programming languages are side-effect free. There is another side to the coin: because assignment plays a crucial role in Input/Output (I/O), functional languages have a hard time dealing with I/O. Functional programming languages have therefore often been stigmatised as inferior to imperative programming languages because they cannot deal with I/O very well. In this paper, we show that I/O can be incorporated in a functional programming language without loss of any of the generally accepted advantages of functional programming languages. This discussion is supported by an extensive account of the I/O system offered by the lazy, purely functional programming language Clean. Two aspects that are paramount in its I/O system make the approach novel with respect to other approaches. These aspects are the technique of explicit multiple environment passing, and the Event I/O framework to program Graphical User I/O in a highly structured and high-level way. Clean file I/O is as powerful and flexible as it is in common imperative languages (one can read, write, and seek directly in a file). Clean Event I/O provides programmers with a high-level framework to specify complex Graphical User I/O. It has been used to write applications such as a window-based text editor, an object based drawing program, a relational database, and a spreadsheet program. These graphical interactive programs are completely machine independent, but still obey the look-and-feel of the concrete window environment being used. The specifications are completely functional and make extensive use of uniqueness typing, higher-order functions, and algebraic data types. Efficient implementations are present on the Macintosh, Sun (X Windows under Open Look) and PC (OS/2).

Refinement and retrenchment for programming language data types

2005 ◽  
Vol 17 (4) ◽  
pp. 423-442 ◽  
Author(s):  
Bernhard Beckert ◽  
Steffen Schlager
Keyword(s):  
Programming Language ◽  
Data Types ◽  
Language Data

Python programming language: practicum

2019 ◽  
Author(s):  
Роман Жуков ◽  
Roman Zhukov
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Undergraduate Students ◽  
Object Oriented Programming ◽  
Federal State ◽  
Full Time ◽  
Data Types ◽  
Python Programming Language ◽  
State Educational ◽  
Python Programming

The tutorial is devoted to the theoretical and practical study of the modern widely used programming language Python. The manual consists of 5 chapters, which consistently addressed issues such as the history of programming languages, features and basic elements of the Python programming language (data types; instructions, functions, modules; object-oriented programming; development of graphical interfaces). The material is presented compactly while maintaining the necessary rigor, algorithmicity and detailed elaboration of the basic concepts in accordance with the working program of the discipline "Computer workshop". Meets the requirements of the Federal state educational standard of higher education of the last generation. For undergraduate students full-time and part-time training areas "Business Informatics", as well as all those interested in programming.

scholarly journals Abstract Semantic Algebras!

1982 ◽  
Vol 11 (145) ◽  
Author(s):  
Peter D. Mosses
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Conceptual Analysis ◽  
Formal Description ◽  
Data Types ◽  
New Approach ◽  
Initial Algebra ◽  
Language Semantics ◽  
Abstract Data ◽  
Initial Algebra Semantics

A new approach to the formal description of programming language semantics is described and illustrated. ''Abstract semantic algebras'' are just algebraically-specified abstract data types whose operations correspond to fundamental concepts of programming languages. The values of abstract semantic algebras are taken as meanings of programs in Denotational (or Initial Algebra) Semantics, instead of using Scott domains. This leads to semantic descriptions that clearly exhibit the underlying conceptual analysis, and which are rather easy to modify and extend. Some basic abstract semantic algebras corresponding to fundamental concepts of programming languages are given; they could be used in the description of many different programming languages.

Conservativity of Equational Theories in Typed Lambda Calculi1

1993 ◽  
Vol 19 (1-2) ◽  
pp. 1-49
Author(s):  
Val Breazu-Tannen ◽  
Albert R. Meyer
Keyword(s):  
Programming Languages ◽  
Equational Theory ◽  
Data Type ◽  
Data Types ◽  
Functional Programming Languages ◽  
Type Definition ◽  
Algebraic Theories ◽  
A New Technique ◽  
Evaluation Of Data ◽  
Type Specification

In programming languages that feature unrestricted recursion, the equational theory corresponding to evaluation of data type expressions must be distinguished from the classical theory of the data as given by, say, algebraic specifications. Aiming to preserve classical reasoning about the underlying data types, that is, for the equational theory of the programming language to be a conservative extension of the theory given by the data type specification, we investigate, alternative computational settings given by typed lambda calculi, specifically here by the Girard-Reynolds polymorphic lambda calculus ( λ ∀ ). We prove that the addition of just the λ ∀ -constructions to arbitrary specifications, as given by algebraic theories, and even simply typed lambda theories, is conservative. This suggests that polymorphic constructs and reasoning can be superimposed on familiar data-type definition features of programming languages without changing the behavior of these features. Using purely syntactic methods, we give transformational proofs of these results for certain systems of equational reasoning. A new technique for analyzing polymorphic equational proofs is developed to this purpose. Finally, we prove, with a semantics argument, that it is possible to combine arbitrary algebraic data type specifications and the λ ∀ -constructions into functional programming languages that both conserve algebraic reasoning about data. and ensure, over arbitrary algebraically specified observables, a computing power equivalent to that of the pure λ ∀ . The corresponding problem for simply typed specifications remains open.

scholarly journals Description of the Imperative Programming Language in Haskell

2021 ◽  
Vol 4 ◽  
pp. 72-77
Author(s):  
Volodymyr Protsenko
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Formal Specification ◽  
Type System ◽  
Main Task ◽  
Abstract Syntax ◽  
Data Types ◽  
Good Tool ◽  
Semantic Function ◽  
Finite Set

When creating a programming language, it is necessary to determine its syntax and semantics. The main task of syntax is to describe all constructions that are elements of the language. For this purpose, a specific syntax highlights syntactically correct sequences of characters of the language alphabet. Most often it is a finite set of rules that generate an infinite set of all construction languages, such as the extended Backus-Naur (BNF) form.To describe the semantics of the language, the preference is given to the abstract syntax, which in real programming languages is shorter and more obvious than specific. The relationship between abstract syntax objects and the syntax of the program in compilers solves the parsing phase.Denotational semantics is used to describe semantics. Initially, it records the denotations of the simplest syntactic objects. Then, with each compound syntactic construction, a semantic function is associated, which by denotations of components of a design calculates its value – denotation. Since the program is a specific syntactic construction, its denotation is possible to determine using the appropriate semantic function. Note that the program itself is not executed when calculating its denotation.The denotative description of a programming language includes the abstract syntax of its constructions, denotations – the meanings of constructions and semantic functions that reflect elements of abstract syntax (language constructions) in their denotations (meanings).The use of the functional programming language Haskell as a metalanguage is considered. The Haskell type system is a good tool for constructing abstract syntax. The various possibilities for describing pure functions, which are often the denotations of programming language constructs, are the basis for the effective use of Haskell to describe denotational semantics.The paper provides a formal specification of a simple imperative programming language with integer data, block structure, and the traditional set of operators: assignment, input, output, loop and conditional. The ability of Haskell to effectively implement parsing, which solves the problem of linking a particular syntax with the abstract, allows to expand the formal specification of the language to its implementation: a pure function — the interpreter.The work contains all the functions and data types that make up the interpreter of a simple imperative programming language.

PERANGKAT LUNAK KOMPUTER

2020 ◽  
Author(s):  
Cut Nabilah Damni
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Operating Systems ◽  
Source Code ◽  
Computer Software ◽  
Computer Programs ◽  
Application Systems ◽  
Executable Programs

AbstrakSoftware komputer atau perangkat lunak komputer merupakan kumpulan instruksi (program atau prosedur) untuk dapat melaksanakan pekerjaan secara otomatis dengan cara mengolah atau memproses kumpulan intruksi (data) yang diberikan. (Yahfizham, 2019 : 19) Sebagian besar dari software komputer dibuat oleh (programmer) dengan menggunakan bahasa pemprograman. Orang yang membuat bahasa pemprograman menuliskan perintah dalam bahasa pemprograman seperti layaknya bahasa yang digunakan oleh orang pada umumnya dalam melakukan perbincangan. Perintah-perintah tersebut dinamakan (source code). Program komputer lainnya dinamakan (compiler) yang digunakan pada (source code) dan kemudian mengubah perintah tersebut kedalam bahasa yang dimengerti oleh komputer lalu hasilnya dinamakan program executable (EXE). Pada dasarnya, komputer selalu memiliki perangkat lunak komputer atau software yang terdiri dari sistem operasi, sistem aplikasi dan bahasa pemograman.AbstractComputer software or computer software is a collection of instructions (programs or procedures) to be able to carry out work automatically by processing or processing the collection of instructions (data) provided. (Yahfizham, 2019: 19) Most of the computer software is made by (programmers) using the programming language. People who make programming languages write commands in the programming language like the language used by people in general in conducting conversation. The commands are called (source code). Other computer programs called (compilers) are used in (source code) and then change the command into a language understood by the computer and the results are called executable programs (EXE). Basically, computers always have computer software or software consisting of operating systems, application systems and programming languages.

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