Kibernetika ta kompiuterni tekhnologiyi最新文献

{"title":"Study of Influence of IT-Technologies on Indicators of the Energy Sector of the Economy","authors":"Eleonora Karpets, V. Kuzmenko","doi":"10.34229/2707-451x.22.3.7","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.7","url":null,"abstract":"Introduction. Energy is an essential branch of the economy, which needs not only reconstruction but effective, innovative solutions, one of which is the wide implementation of digital technologies. It is important to investigate possible cross-industry changes to adjust macroeconomic scenarios of industry development.\u0000The purpose of the study is to assess the degree of influence of the introduced 'smart' technologies in the energy industry on the level of inter-industry relationships according to the developed algorithms of the econometric and static Input-Output models.\u0000Results. The main consequence of calculations according to the proposed methodology is the possibility of assessing the impact of the introduction of 'smart' technologies on structural dynamics in the energy sector. However, the statistical data for the selected time interval is not enough for analysis by types of renewable energy. Since the share of 'green' energy in the total amount of energy produced remains insignificant, its influence on the accumulation of 'smart' technologies is insufficient.\u0000Conclusions. The analysis of statistical calculations allows us to state that the increase in 'smart' technologies implementation in the energy industry of Ukraine has a direct functional impact, albeit insignificant, and demonstrates the positive dynamics in the IT services inter-industry use. The negligible impact is caused by reduced allocations for the renewal of fixed assets in traditional energy sectors. There is a certain use of the latest technologies in the field of renewable energy sources, but their share in the energy structure is insignificant, although it has positive dynamics. Calculating the macroeconomic scenarios of the industry development according to the direct and inverse Input-Output models, which are promising for developing economic equalization measures in the energy sector, remains relevant. Keywords: econometric model of Input-Output tables, direct and dual problems of the IO model, inter-industry flows, types of economic activity, regression analysis.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44138920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Environmental, Social, Governance and Technogenic Components of Investment Risks","authors":"K. Atoyev, P. Knopov","doi":"10.34229/2707-451x.22.3.4","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.4","url":null,"abstract":"Introduction. To assess the investment attractiveness (IA) and development opportunities for investment objects (IO), non-financial factors characterizing the environmental, social, governance and technogenic (ESGT) features of objects of possible financing have been increasingly used recently. The purpose of this data analysis is to establish how the ESGT-parameters of IO may reflect their financial health and performance prospects in a rapidly changing world. Having built an ESGT risk profile with the help of mathematical models, the IA of the object of study and the strategy of practical measures to increase it are determined. When modeling these processes, one should consider the growing uncertainty of the modern world due to the emergence of new risks; a large number of systemic links between the structures of the modern technosphere; the power-law nature of the distribution of the probability density of catastrophe damage, which decreases more slowly than the Gaussian dependence. In addition, the efficiency of complex production systems is largely determined by the balance of their individual links. Therefore, to assess investment risks, new methods are required to formalize the dependence of IA on ESGT-factors for the integrated management of the level of credit, market, insurance and operational risks under conditions of uncertainty.\u0000The purpose of the article is to develop mathematical methods for quantifying IA and determining real costs to improve the management, social and technological structure of IO, and minimize environmental pollution.\u0000Results. A mathematical model has been developed for assessing the environmental, social, managerial and technogenic leaving risks of investment, which makes it possible to determine the optimal strategies for increasing the IA of a possible IO. For a comprehensive risk assessment, methods of the theory of singularities of smooth reflections (TOGO) and the method of analysis of hierarchies (MAH) are used. The following algorithm for estimating IA is proposed: 1) determining the indices of the ESGT-components of risk; 2) calculation of bifurcation index values; 3) determination of the weakest links, which are associated with a decrease in IA; 4) identification of priority measures to prevent the reduction of IA or restore it to a predetermined level and minimize the negative impacts of extreme events and ensure sustainable development.\u0000Conclusions. The obtained results show that mathematical models based on the use of TOGO and MAH methods are an important tool for estimating IA under conditions of uncertainty. They allow: 1) to calculate the degree of approximation of the parameters characterizing the functioning of the object to their critical values ??when the IA changes; 2) to determine effective controls to minimize the risk of losing IA or minimize the time and losses for returning IA; 3) to consider the uncertainty factor associated with the features of the decision-making process. The develop","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47764675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taxonomy of Objects for Sustainable Financing for Risk Management System Simulation","authors":"Andriy Honta, M. Hryhorak, O. Volovyk","doi":"10.34229/2707-451x.22.3.2","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.2","url":null,"abstract":"Introduction. The post-war reconstruction of Ukraine's economy should be carried out on the principles of sustainable development and include the implementation of \"green\" technologies in various sectors in order to rationally use available natural resources and reduce the harmful impact on the environment. There are already active discussions carried out among economists and financiers about how the existing financial system will facilitate the transition to a green economy and increase the mobilization of public and private resources for investments in projects on sustainable development. The Ukraine’s European integration aspirations encourage researchers to study the experience of the European Union in creating a unified pan-European system of classification of sustainable economic activities (\"EU taxonomy\") and adapt them to the national characteristics in order to direct green investments to those activities that are important for achieving the goals of the European Green Deal. The above actualizes the problem of effective use of \"sustainable\" financing mechanisms in the implementation of programs and projects for the recovery of the economy of Ukraine in the post-war period.\u0000The purpose of the article is to adapt the European experience to improve the taxonomy of objects of sustainable financing of reconstruction projects for national economy in the post-war period and to develop methodical approaches to risk management of investment projects of sustainable development using modern mathematical apparatus.\u0000Attained results. The principles and ESG-factors of sustainable financing are summarized; the prerequisites for evaluating of sustainable development investment projects are identified using the proposed system of measures, indicators and indices of sustainable development. A structural model of the ESG risks and credit risks interrelationships through the prism of the economic activity of sustainable investment subjects is proposed. The necessity of creating a digital platform for collecting and processing ESG data, based on which it is expedient to evaluate sustainable development investment projects in the system of \"region-enterprise-industry\" relationships, has been proved. A set of ESG risk assessment methods and models was formed and a decision tree was developed for the selection of sustainable development investment projects, taking into account the taxonomy of sustainable economic activity and regional development priorities in the post-war period using screening and scoring models.\u0000 Conclusions. The application of the proposed principles, factors, indices and indicators of sustainable development allow to develop a new theoretical and methodological approach to assessing the risks of sustainable financing. The performed analysis of the screening and scoring procedures has justified a conclusion about the need of using the optimization theory for complex socio-ecological and economic systems together with various mathematical me","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42438342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calibrating and Graduating of Multi-Sensor Gas Analyzer","authors":"V. Budnyk, M. Mudrenko, Serhii Lukash, M. Budnyk","doi":"10.34229/2707-451x.22.3.9","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.9","url":null,"abstract":"Introduction. The article is devoted to the calibration and graduation of the multi-sensor gas analyzer developed at the V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine. The modern trend in the development of medical equipment, in particular, containing built-in measuring devices, consists in its miniaturization, intellectualization, the use of information technologies, and the introduction of wireless and network means of data transmission.\u0000The purpose of the article is to design, create electronics and software for recording the concentration of three gases (oxygen, carbon dioxide and carbon monoxide), test and calibrate the device.\u0000Results. Three prototypes of sensor modules for oxygen, carbon dioxide and carbon monoxide have been created. The structure, scheme of connection of sensor modules, and the principle of operation of the gas analyzer was described. Testing and optimization of these prototypes were performed. Auxiliary pneumatic equipment for checking the performance of devices, their calibration and graduation was manufactured. Measurement technique was developed and test measurements of the specified gases were performed. The calibration technique was developed and the device was calibrated using two test gas samples such as ethanol vapor and air-gas mixture of carbon dioxide. In addition, a special software has been developed, which allow observe a registered input signal from sensor modules and store it to the file.\u0000Conclusions. As a result of the work, prototype of the device was created, its testing, calibration and graduation were carried out at the State Enterprise \"Ukrmetrteststandart\", 4 certificates of metrological attestation were obtained. The gas analyzer can be used for screening of healthy persons based on study of exhalation to predict the risk of diseases. Keywords: multi-sensor gas analyzer, oxygen, carbon dioxide, carbon monoxide, calibration, graduation.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48540225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mathematical Models of M.V. Mykhalevych for Forecasting Structural and Technological Changes","authors":"P. Stetsyuk, Maria Grygorak, O. Berezovskyi, O. Lykhovyd","doi":"10.34229/2707-451x.22.3.6","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.6","url":null,"abstract":"Introduction. The identification of structural and technological disproportions that affect crisis phenomena in the economy and the analysis of ways to eliminate them require a wide application of quantitative research methods, in particular, mathematical modeling. “Input-Output” tables of Leontief turned out to be quite a convenient tool for analyzing these economic issues. In Leontief-type models, the matrix of technical coefficients (matrix of direct costs) is assumed to be known and calculated on the basis of statistical information from the “input-output” tables. M.V. Mykhalevych formulated the “inverse” problem: how to determine those structural and technological changes that would reduce the cost of production and thereby increase the incomes of end consumers and make the economy more dynamic. Or, in other words, how to choose or adjust technical coefficients to improve the properties of the economic process. This work is devoted to two optimization problems built on the basis of models of this type. \u0000The purpose of the article is to optimize the interdisciplinary planning of structural and technological changes.\u0000Results. Inverse models of the Leontief type for optimization of structural and technological transformations in economic systems are considered. These models are formulated in terms of nonlinear programming problems and include two objective functions for maximization: total consumer incomes and the “income growth–production growth” multiplier. Algorithms and software for solving these problems are presented. Numerical optimization procedures are based on Shor's r-algorithm. \u0000Conclusions. The use of inverse models of the Leontief type will allow choosing promising directions of structural and technological transformations in both the macro- and microeconomy. The proposed mathematical apparatus based on non-smooth optimization algorithms proved to be a sufficiently effective tool for solving appropriate optimization problems in practice. Keywords: structural and technological changes, inter-industry balance, Leontief model, “input-output” matrix, inverse Leontief-type models, non-smooth optimization algorithms, software.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48035089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical and Optimization Methods in Credit Scoring","authors":"V. Stovba","doi":"10.34229/2707-451x.22.3.3","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.3","url":null,"abstract":"Introduction. The role of credit scoring in the work of financial institutions is difficult to overestimate. Accurate and efficient scorecards allow lenders to assess risks correctly and monitor their investments. Such cards should be based on reliable statistical data about previous and current customers using statistical analysis methods.\u0000Over the years of its development, the toolkit of credit scoring has also been supplemented with non-statistical methods based on the use of optimization procedures, decision trees, intelligent databases and knowledge bases, building network models, etc. Given the wide range of available methods, there is a need for their classification and application analysis.\u0000The purpose of the article is to provide a brief description of all relevant statistical and non-statistical methods that allow solving credit scoring tasks in modern formulations. To reveal the features of using the methods described and conduct their comparison.\u0000Results. Statistical methods allow to investigate the significance of all the factors included in the model, as well as to obtain a set of statistical estimates that help to assess the quality of the model. Thus, these methods allow to build an optimal and reliable model. Non-statistical methods allow you to add arbitrary restrictions to the model, automatically detect and process interactions between characteristics, and solve problems with a large number of applicants and their characteristics, which is facilitated due to the development of computational methods.\u0000Conclusions. Modern mathematical methods allow to solve credit scoring tasks effectively, among which one of the main ones is the binary and multigroup classification. The choice of the optimal method depends on the type of system (static or dynamic), the creditor's computing capabilities and the importance of the results interpretation. Keywords: credit scoring, statistical methods, mathematical programming, neural networks, genetic algorithms.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42564074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GNU Octave and Python Implementation of Shor's r-Algorithm with Adaptive Step Control","authors":"P. Stetsyuk, Aleksandr Pylypovskyi, O. Khomiak","doi":"10.34229/2707-451x.22.3.10","DOIUrl":"https://doi.org/10.34229/2707-451x.22.3.10","url":null,"abstract":"r-algorithms, or subgradient methods with dilation of space in the direction of the difference of two sequential subgradients, were proposed by N.Z.Shor in 1970 in his doctoral thesis. Respective software implementations proved to be competitive with the most effective methods for smooth ill-conditioned problems, both in terms of reliability and calculation time and accuracy of results.\u0000The article is devoted to the description of two software implementations of Shor's r-algorithm modification with a constant coefficient of space dilation and adaptive step control. The first program is implemented using the GNU Octave, and the second program is implemented using Python.\u0000Material of the paper is presented in three sections. In the first section, we describe a modification of the r-algorithm with a constant coefficient of space dilation in the direction of the difference of two sequential subgradients and an adaptive method for step size adjustment in the direction of the antisubgradient in the transformed space of variables. The software implementation of this modification is presented in the form of octave-function ralgb5a, which allows to find either approximation of the minimum point of a convex function, or approximation of the maximum point of the concave function. The code of the ralgb5a function is given with a brief description of its input and output parameters.\u0000The second section describes test experiments to investigate efficiency of the octave-function ralgb5a to maximizing the piecewise linear concave function, which is obtained using the method of non-smooth penalty functions for the linear programming problem. Another example represents minimization of the piecewise linear convex function, which corresponds to the method of least modules. Results of these computational experiments for test problems with 200, 500, 1000, 1500 and 2000 variables are presented to demonstrate the effective operation of the octave-function ralgb5a.\u0000The third section describes the python function ralgb5a and provides its code with a description of the input and output parameters. It is show, how the ralgb5a function can be accelerated by setting two parameters. The results of computational experiments to solve the test problem using the method of least modules for 5,000 variables and 10,000 observations are presented. Keywords: r-algorithm, linear programming problem, nonsmooth penalty function, least modulus method, GNU Octave, python.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45529403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technologies for Creating Holographic 3D Showcase Presentations","authors":"Ihor Tyshchenko","doi":"10.34229/2707-451x.22.2.7","DOIUrl":"https://doi.org/10.34229/2707-451x.22.2.7","url":null,"abstract":"Introduction. The article considers the aspects of using modern information technologies in the creating of presentations. Technologies for creating holographic 3D showcase presentations using well-known presentation applications are analyzed. One of the innovative devices and technologies for reproducing presentations is a holographic 3D showcase and holographic technologies. The operation of devices that are new to users require prior training or a significant amount of educational materials on the Internet. Optimizing the work process through the variability of the use of already known software will save time on training and avoid mistakes when operating new technological devices.\u0000The purpose of the work is to investigate methods of developing content for a holographic 3D showcase using publicly available applications and to develop requirements for presentations that can be created on them.\u0000The work highlights the research materials, in which the existing software for creating presentations were compared and the most optimal program was chosen. In the process of work the methods of scientific research “analysis” and “comparison” were applied. The requirements for the content of the holographic 3D showcase were analyzed and recommendations for the development of media content based on them were created.\u0000Results. In the course of the analytical study, methodological guidelines for the development of presentation materials that would be able to be converted into 3D images by displaying them on a holographic 3D showcase were obtained.\u0000Conclusions. The article describes the methodology for creating presentation materials for a holographic 3D showcase, which will allow optimizing the process of developing media materials by using Microsoft PowerPoint. Recommendations for the development of materials will help to understand more deeply the specific features of the functioning of the holographic 3D showcase. Keywords: presentations, PowerPoint, 3D, 2D, information technologies, software, holography.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43146385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"About Selecting the Number of Processors for Parallel Multipopulation Genetic Algorithm","authors":"I. Lukianov, F. Lytvynenko","doi":"10.34229/2707-451x.22.2.3","DOIUrl":"https://doi.org/10.34229/2707-451x.22.2.3","url":null,"abstract":"Introduction. The paper considers some features of the parallel implementation of a multipopulation genetic algorithm, as well as approaches to its optimization. The results of experiments with the use of a different number of processors and different methods of generating initial populations are presented in order to optimize the algorithm according to several criteria (assessment of the use of computational and time resources). On the example of a specific test problem, estimates are given for choosing the optimal number of processors to obtain the desired result. \u0000The purpose of this work is to conduct experiments with a given test problem with a different number of processors and alternative methods for generating the initial population to evaluate the effectiveness of the algorithm. \u0000Results. For the test problem, to obtain a result of 90–94 % of the optimum, the most efficient in terms of computing resources is the use of 4 processors with an algorithm for uniform scanning of the space of factor values. To achieve a result exceeding 94 % and optimize by K1 (computational resources), 8 processors and an algorithm for uniform scanning of the space of factor values showed the best result. If we also take into account the criterion of time resources K2, then to achieve 90–98 % of the optimum, it is necessary to use 8 processors, for 99–100 % 12 or 16 processes, depending on C1 and C2 (cost of computational and time resources respectively).\u0000Conclusions. Performed experiments show that the algorithm of uniform scanning of the space of factor values is more efficient than the random method of generating the initial population. Experiments also showed that in order to achieve the maximum efficiency of PMGA, the number of processors must be chosen depending on the desired result precision. Keywords: parallel genetic algorithm, initial population generation, choice of the number of processors (populations), algorithm optimization.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47163682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Models of Computer Calculations","authors":"V. Zadiraka, O. Khimich, I. Shvidchenko","doi":"10.34229/2707-451x.22.2.4","DOIUrl":"https://doi.org/10.34229/2707-451x.22.2.4","url":null,"abstract":"Introduction. The complexity of computational algorithms for solving typical problems of computational, applied, and discrete mathematics is analyzed from the perspective of the theory of computation, depending on the computer architecture and the used computing model: single-processor, multiprocessor, and quantum. The following classes of problems are considered: systems of linear algebraic equations, the Cauchy problem for systems of ordinary differential equations, numerical integration, boundary value problems for ordinary differential equations, factorization of numbers, finding the discrete logarithm of a number in multiplicative integer groups, searching for the necessary record in an unordered database, etc. The purposes of the paper are: 1. To investigate how the computational complexity depends on the computer architecture and the computational model. 2. To show that the construction of the computational process under the given conditions of calculations is related to the solution of the following problems: – the existence ε-solution to the problem; – the existence of T-effective computing algorithms; – the possibility of building a real computing process under the given computing conditions. 3. To investigate the effect of rounding numbers on computational complexity (especially when solving problems of transcomputational complexity). 4. To give the complexity estimates and total error of the computational algorithm for a number of typical problems of computational, applied, and discrete mathematics. The results. The complexity estimates of computational algorithms of the listed classes of problems for single-processor, multiprocessor and quantum computing models are given. The main focus is on high-performance computing: using the principles of parallel data processing and quantum mechanics. Conclusions. The connection of complexity estimates of computational algorithms with the architecture of computers and models of calculations is demonstrated. The characteristics of the first quantum computers (2016 – 2022), which have gone beyond laboratory research, are given. Keywords: computer technologies, rounding error, sequential, parallel and quantum computing models, complexity estimate.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43835789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}