Please use this identifier to cite or link to this item: http://srd.pgasa.dp.ua:8080/xmlui/handle/123456789/11559
Title: Интерпретация как научный метод познания
Other Titles: Interpretation as a scientific method of cognition
Authors: Большаков, Владимир Иванович
Bolshakov, Vladymyr
Дубров, Юрий Исаевич
Dubrov, Yurii
Keywords: programming
planning method of extreme experiments
метод планирования экстремальных экспериментов
complex system
сложная система
программирование
Issue Date: Sep-2014
Publisher: ДВНЗ «Придніпровська державна академія будівництва та архітектури»
Citation: Большаков В. И. Интерпретация как научный метод познания / В. И. Большаков, Ю. И. Дубров // Вісник Придніпровської державної академії будівництва та архітектури. – 2014 – № 9. – С. 4-9
Abstract: RU: В работе показано, что имитация метода математического программирования построена для описания некоторой области реальной действительности, которая собственно и является её интерпретацией.
EN: Problem statement. It is known that an adequate interpretation of the dynamics of mutually–interacting complex system (SS) with the medium of its existence, is allows to study its characteristics, with the distraction of unneeded maloznachimyh parts, studying these systems on simplified, more favorable for research models. We show this by specific examples, take–NJ various methods of interpretation, for this study the total and pour–Chie two seemingly distinct techniques, methods of mathematical–programming techniques and planning experiments extreme–cops. Analyzing of the resent research. The term «programming» that is applied to the numerical methods for solving problems, in our view, is a non–successful. The most correct name of numerical problems in mathematical programming th — numerical methods of planning, as these breech–chi can be construed as planning experiments that hundred–put to the existing mathematical models. Method plans extreme experiments differs from numerical problems ma thematic programming, primarily in that the planning experiments provides the very beginning of its application, the creation of a mathematical model, and then her research. Research objective. If numerical methods for programming pre–supposed–known type and properties of the original function, which must maximize (minimize) the methods of planning experiments, cops, this function is represented by the equations obtained on the a–Considerations for the statistical analysis of a specially designed and CHECK–degenerate experiments. Conclusions. As for the method of mathematical simulation programming, this scientific theory is constructed to describe some of the field–of reality, which actually is its in–interpretation.
URI: http://srd.pgasa.dp.ua:8080/xmlui/handle/123456789/11559
Other Identifiers: http://visnyk.pgasa.dp.ua/article/view/42100
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