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Resource-based model for small innovative enterprises
Maiti M., Krakovich V., Shams S.M.R., Vukovic D.B.
Purpose: The paper introduces a resource-based linear programming model for resource optimization
Formalization of the task of justification of the nomenclature and volume of production of production of industrial enterprises
Yaroshchuk A.B., Logvinov S.S.
review of the currently existing linear programming models has been carried out. The tasks of justifying
Semantic role labeling with pretrained language models for known and unknown predicates
Larionov D., Chistova E., Shelmanov A., Smirnov I.
scoring via integer linear programming. We train supervised neural network models for argument
Economic-mathematical methods of forming the optimal assortment plan trade enterprises
Shabanova L., Gafurov I., Safiullin N., Salimov L.
researchers and authors themselves, which allowed to recommend greater use of methods of linear programming
Mathematical model of optimization of sheet blanks laying-out
Rastorguev G.A.
of linear programming in general view and for concrete working conditions is developed.
On simulating the quantum and classical branching programs
Gainutdinova A.
these relations, we developed a method of "linear simulation" of a quantum branching program and a method
Automation of the creation of the schedule at the university: Mathematical model
Khabipov R.I.
into account. Therefore, scheduling refers to the class of NP-complete integer programming problems, which
COMPUTATIONAL METHODS FOR SOLVING NEARLY SINGULAR SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS IN ALGORITHMS OF GEOMETRICALLY NONLINEAR STABILITY ANALYSIS OF SPACE TRUSSES
Galishnikova V.V.
The two numerical methods for solving nearly singular systems of linear equations, namely deflation
Computable Presentability of Countable Linear Orders
Frolov A.N.
The main goal of this paper is to study algorithmic properties of countable linear orders
Energy efficient computation offloading mechanism in multi-server mobile edge computing—an integer linear optimization approach
Khan P.W., Abbas K., Shaiba H., Muthanna A., Abuarqoub A., Khayyat M.
offloading algorithm that is based on integer linear optimization is proposed. The algorithm allows choosing

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