GRAPHICAL CAPABILITIES OF THE C++ PROGRAMMING LANGUAGE

Authors

  • Aslonov Kodir Ziyodullayevich Asia International University

DOI:

https://doi.org/10.55640/

Keywords:

line, circle, c++, rectangle,graphics.h, initgraph, detect.

Abstract

This article analyzes the graphical capabilities of the C++ programming language and the methods for constructing complex geometric figures. Computer graphics is considered an essential component of modern information technologies, and both the theoretical and practical foundations of graphic programming are discussed. The paper examines how to initialize graphic mode in C++, draw basic geometric primitives such as points, line segments, circles, rectangles, and ellipses, and create complex images by combining these elements.

In addition, the study explores techniques for working with colors, filling styles, and generating multi-element figures using iterative operators. The creation of patterns based on trigonometric functions, as well as issues related to symmetry and geometric transformations, are also analyzed. Special attention is given to constructing complex objects using polygons, generating fractal figures, and understanding coordinate systems and mathematical foundations of computer graphics. Furthermore, the article describes methods for creating animated graphic objects, producing 3D visual effects, and generating decorative patterns using algorithmic approaches.

The materials presented in the article have practical significance for students learning graphic programming, software developers, and specialists interested in computer graphics. The results of the study can be applied in the development of graphic applications, computer games, engineering design systems, animation, and robotics.

Downloads

Download data is not yet available.

References

1.Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.

2.Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

3.Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.

4.Vapnik, V. N. (1998). Statistical Learning Theory. Wiley.

5.Murphy, K. P. (2012). Machine Learning: A Probabilistic Perspective. MIT Press.

Downloads

Published

2026-03-25

How to Cite

GRAPHICAL CAPABILITIES OF THE C++ PROGRAMMING LANGUAGE. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(03), 2018-2022. https://doi.org/10.55640/

Similar Articles

1-10 of 152

You may also start an advanced similarity search for this article.