Development of algorithmic solutions for optimizing calculations of dynamic aeroelasticity of aircraft

The article discusses algorithmic methods aimed at optimizing calculations in the field of dynamic aeroelasticity of aircraft. This process is complex and involves the interaction between aerodynamic forces, elastic deformations, and inertial effects, which necessitates the use of highly efficient computational methods. The main objective of the research is to develop an integrated approach that combines modern optimization techniques such as algorithm replacement, parallelization, vectorization, and flag optimization. The paper analyzes existing algorithmic solutions and their impact on calculation performance, as well as presents innovative proposals for their combination to enhance computational efficiency. The results show that the use of the proposed algorithms can significantly reduce calculation time and improve accuracy in the field of dynamic aeroelasticity. The findings are relevant for both theoretical research and practical applications in the aerospace industry. The article will be of interest to specialists in mathematical and software solutions for computational systems, as well as researchers working at the intersection of aeroelasticity and optimization. Additionally, examples of successful applications of these algorithms on real aircraft models are provided. Furthermore, future research opportunities are discussed, including integration with modern computing platforms and the application of machine learning methods to improve predictions.