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Compiler Backend of a Language for Verified Scientific Computing

Student: Andrushchenko Anton

Supervisor: Pavel Sokolov

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 9

Year of Graduation: 2024

In recent years, the demand for large amounts of verified scientific computations has grown noticeably. Ideally, the very fact of the program should be sufficient to verify the correctness of a given algorithm. This principle applies equally to application domains, such as data analysis, as well as to theoretically oriented tasks, such as theorem proving. The solution to the problem of verifiability of computations falls first of all on the programming language used. Existing programming languages face various problems in achieving the necessary degree of correctness of algorithms. In this paper, we propose a software solution for compiling an abstract syntax tree within the compiler of a new programming language, called Sanskrit, designed to combine best practices and approaches from different existing programming languages.

Full text (added May 20, 2024)

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