Оптимізація роботи з даними за допомогою правильного вибору алгоритму

Abstract

The thesis examines the problem of data processing optimization through the selection of efficient algorithms in software systems. The impact of algorithmic complexity on performance, memory usage, and scalability of applications is analyzed. Emphasis is placed on comparing basic searching and sorting algorithms, as well as on the role of data structures in ensuring fast information processing. Practical aspects of algorithm selection depending on data characteristics and execution conditions are outlined. Prospects for algorithm optimization are considered in the context of growing data volumes and the development of modern computing technologies.