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Artificial intelligence in software engineering

Salnikov, D. A.

and neural networks, to investigate how software engineers can facilitate their development. It has been

Tensor computations in computer algebra systems

Korol'Kova A.V., Kulyabov D.S., Sevast'Yanov L.A.

Software engineering

New Features in the Second Version of the Cadabra Computer Algebra System

Kulyabov D.S., Korol’kova A.V., Sevast’yanov L.A.

as the main computer algebra system for several years. Recently, an operable second version of this software

Development of Algorithms and Software for Modeling Controlled Dynamic Systems Using Symbolic Computations and Stochastic Methods

Demidova A.V., Druzhinina O.V., Masina O.N., Petrov A.A.

The development of software for synthesizing and analyzing models of controlled systems taking

Symbolic-Numerical Implementation of the Galerkin Method for Approximate Solution of the Waveguide Diffraction Problem

Divakov D.V., Tyutyunnik A.A.

system by symbolic manipulations; its software implementation is based on the

Development and approbation of the mathematical multi-model basis of the monitoring system for the "heterogeneous filtering base - Structures" systems of the responsible building objects (on the example of Zagorskaya PSPP)

Dmitriev D.S., Belostosky A.M., Nagibovich A.I., Ostrovsky K.I.

complexes: ANSYS Mechanical, Midas GTS, MODFLOW, and integration of the results obtained into the software

Mastering software engineering with the help of the level model of competencies acquisition

Rutskaya, K. A., Znamenskaya, O. V., Rutskiy, V. N., Tsarev, R. Yu., Everstova, V. N., Gogoleva, I. V., Owais, A. K.

allows the teacher to organize training software engineering so that students acquire needed knowledge

Model approach to interactive system software development

Georgiev V., Prokopiev N.

© Research India Publications 2015. This article describes the use of software engineering advanced

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Software engineering

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Software engineering

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