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Journal articles on the topic 'Methods of problem solving'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

BENJAMINS, V. RICHARD, and DIETER FENSEL. "Editorial: problem-solving methods." International Journal of Human-Computer Studies 49, no. 4 (1998): 305–13. http://dx.doi.org/10.1006/ijhc.1998.0208.

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2

Boymanov, H. "METHODS OF TEACHING PRIMARY EDUCATION STUDENTS TO PROBLEM SOLVING." International journal of advanced research in education, technology and management 2, no. 2 (2023): 63–70. https://doi.org/10.5281/zenodo.7606680.

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<strong>Abstract.</strong> In the first grades of primary education, when solving problems, students learn to find the sum and remainder, to find sums and addends to increase or decrease a number by a few units, to compare differences, to find differences and denominators, to find differences and denominators. it is said to face several kinds of problems in finding it.  

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3

Raxmatullayeva, Gulira'no Valijon qizi. "METHODS OF INCREASING STUDENT INTEREST IN PHYSICS WITH OLYMPIC PROBLEMS." "Science and Innovation" international scientific journal 1, no. 1 (2022): 1–9. https://doi.org/10.5281/zenodo.6466351.

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<em>The article analyzes the specifics of the Olympiad problems in physics, the mathematical knowledge necessary to prepare for the Olympiad, as well as the methodology for solving some Olympiad problems.</em>

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4

Dr., J. Sengamalaselvi*. "SOLVING TRANSPORTATION PROBLEM BY USING MATLAB." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 1 (2017): 374–81. https://doi.org/10.5281/zenodo.259588.

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In the area of Linear Programming Problem (LPP), modeling of Transportation Problem (TP) is fundamental in solving most real life problems as far optimization is concerned. MATLAB is used for treating programming of LPP, a condition referred to as M-File that can result from codes. The Paper discusses to study TP that would calculate the use of MATLAB codes using a mathematical modeling. The model develops the transportation solution for the North West Corner Rule, Least Cost Method, Vogel’s Approximation Method, and Modi method for the TP. It is clear that a lot of effort has been involved in

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5

Vabishchevich, Petr N. "Iterative Methods for Solving Convection-diffusion Problem." Computational Methods in Applied Mathematics 2, no. 4 (2002): 410–44. http://dx.doi.org/10.2478/cmam-2002-0023.

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AbstractTo obtain an approximate solution of the steady-state convectiondiffusion problem, it is necessary to solve the corresponding system of linear algebraic equations. The basic peculiarity of these LA systems is connected with the fact that they have non-symmetric matrices. We discuss the questions of approximate solution of 2D convection-diffusion problems on the basis of two- and three-level iterative methods. The general theory of iterative methods of solving grid equations is used to present the material of the paper. The basic problems of constructing grid approximations for steady-s

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Fensel, D., and E. Motta. "Structured development of problem solving methods." IEEE Transactions on Knowledge and Data Engineering 13, no. 6 (2001): 913–32. http://dx.doi.org/10.1109/69.971187.

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7

Golichev, Iosif Iosifovich, Timur Rafailevich Sharipov, and Natal'ya Iosifovna Luchnikova. "Gradient methods for solving Stokes problem." Ufimskii Matematicheskii Zhurnal 8, no. 2 (2016): 22–38. http://dx.doi.org/10.13108/2016-8-2-22.

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8

Antonietti, Alessandro, Sabrina Ignazi, and Patrizia Perego. "Metacognitive knowledge about problem-solving methods." British Journal of Educational Psychology 70, no. 1 (2000): 1–16. http://dx.doi.org/10.1348/000709900157921.

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9

FENSEL, DIETER, and ARNO SCH Ö. "Inverse verification of problem-solving methods." International Journal of Human-Computer Studies 49, no. 4 (1998): 339–61. http://dx.doi.org/10.1006/ijhc.1998.0210.

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10

Park, Eunjeung, and Sanghun Song. "Pattern Generalization Problem Solving Strategies and Explanation Methods of Elementary Gifted Students." Korean Society of Educational Studies in Mathematics - Journal of Educational Research in Mathematics 33, no. 4 (2023): 1065–81. http://dx.doi.org/10.29275/jerm.2023.33.4.1065.

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The purpose of this paper is to examine the differences in problem solving strategies and solution explanations for solving pattern generalization problems by ability groups among gifted mathematics students in elementary schools in Korea. In the process of generalizing the algebraic-geometric problem of the least numbers of moved stones from triangular arrays to inverted triangular arrays, several types of problem-solving strategies are identified as (1) recursive relation (2) functional relations(guesswork-based, singular, compound) (3) perception of situational structure can make the differ

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11

Mirzaxakimovna, Mirzakarimova Nigoraxon. "Methods of Solving Some Non-Standard Problems in Mathematics." American Journal Of Applied Science And Technology 5, no. 4 (2025): 51–54. https://doi.org/10.37547/ajast/volume05issue04-13.

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This article explores diverse heuristics and strategies for non-standard mathematical problem solving, highlighting invariants, symmetry, and extremal principles as crucial tools that foster deeper insight and highly flexible, creative reasoning.

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12

Absalyamova, IlmiraI ldarovna. "TEACHING MOLECULAR PHYSICS WITH PROBLEM SOLVING." American Journal of Applied sciences 04, no. 01 (2022): 4–11. http://dx.doi.org/10.37547/tajas/volume04issue01-02.

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This article provides with some of the tasks and goals of molecular physics as a subject and shows several examples of problems solved in molecular physics, and methods for solving them. Here are some ways to solve each problem in several ways.

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13

Evans, Atteh, Appoh Andam Emmanuel, and Obeng– Denteh William. "Problem Solving Framework for Mathematics Discipline." Asian Research Journal of Mathematics 4, no. 4 (2017): 1–11. https://doi.org/10.9734/ARJOM/2017/32586.

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This paper identifies a 4-step framework that can be implemented in almost every mathematics lesson and training setting to move learners towards problem solving effectively. This framework which is built upon existing ideas proposed over the years in the mathematics education discipline and best practices concerning cognitive development and effective teaching and learning environment including solved examples provides teachers with very useful guidelines for classroom instruction. Ultimately, this framework can be used to move students towards an active learning environment which is more eff

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Alpysov, A. K., A. K. Seytkhanova, and I. Sh Abishova. "TYPICAL CLASS METHODS FOR SOLVING EQUATIONS AND INEQUALITIES WITH DIFFERENT STRUCTURES." Bulletin of the Korkyt Ata Kyzylorda University 58, no. 3 (2021): 53–62. http://dx.doi.org/10.52081/bkaku.2021.v58.i3.071.

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The article discusses the ways of developing skills and abilities to effectively solve problems when describing methods for solving equations and inequalities, clarifying theoretical knowledge, the basics of forming skills for practical application. The formation of mathematical concepts through solving problems in teaching mathematics opens the way to the development of mathematical thinking, the application of knowledge in practice, and the development of search skills. To master a mathematical concept, along with its definition, it is necessary to know its features and properties. This can

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15

Jenifer, D. H., and R. Irene Hepzibah. "On Solving Linear Complementarity Problem using Principal Pivoting Method." Indian Journal Of Science And Technology 17, no. 47 (2024): 4993–98. https://doi.org/10.17485/ijst/v17i47.3095.

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Objectives: A rudimentary framework called the linear complementarity problem (LCP) describes a wide range of real-world scenarios in which equilibrium conditions must be met while adhering to constraints. Methods: This study presents the Principal Pivoting Method (PPM), a novel method for solving linear Complementarity problems. PPM is a viable substitute for addressing large-scale complementarity problems. It is a powerful method for handling large-scale challenge circumstances while addressing LCPs. The PPM uses a principle-based pivoting strategy to navigate the solution space. It terminat

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16

Yamashiro, Seiji. "Problem solving～Reconsider methods and tools for problem solving at the point of care～." Nihon Naika Gakkai Zasshi 106, no. 12 (2017): 2519–22. http://dx.doi.org/10.2169/naika.106.2519.

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17

Arstanbekova, N. "Using Mathematical Methods in Solving Chemical Problems." Bulletin of Science and Practice 10, no. 6 (2024): 623–29. http://dx.doi.org/10.33619/2414-2948/103/73.

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This article analyzes the definition of the concept of “problem” and discusses the main ways to solve chemical problems. The author proposes an algebraic method for solving chemical problems and an algorithm for solving a system of two equations with two variables by the substitution method.

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18

Au, Wing K., and John P. Leung. "Problem Solving, Instructional Methods and Logo Programming." Journal of Educational Computing Research 7, no. 4 (1991): 455–67. http://dx.doi.org/10.2190/k88q-rwv1-avpu-3dtk.

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19

Gupta, Madhu. "Educator's Corner: Learning methods of problem solving." IEEE Microwave Magazine 9, no. 5 (2008): 134–65. http://dx.doi.org/10.1109/mmm.2008.927643.

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20

Stefanović, Nebojša. "Innovative Problem Solving Methods in Education Field." Education Journal 2, no. 2 (2013): 27. http://dx.doi.org/10.11648/j.edu.20130202.12.

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21

G, Jose Manuel, and Oscar Corcho. "Problem-Solving Methods for Understanding Process Executions." Computing in Science & Engineering 10, no. 3 (2008): 47–52. http://dx.doi.org/10.1109/mcse.2008.78.

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22

Brown, David C. "Problem Solving Methods: Past, Present, and Future." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 23, no. 4 (2009): 327–29. http://dx.doi.org/10.1017/s0890060409990023.

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23

LUO, J., and G. KNOBLICH. "Studying insight problem solving with neuroscientific methods☆." Methods 42, no. 1 (2007): 77–86. http://dx.doi.org/10.1016/j.ymeth.2006.12.005.

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24

GOMEZ, MARIO, ENRIC PLAZA, and CHEMA ABASOLO. "PROBLEM-SOLVING METHODS AND COOPERATIVE INFORMATION AGENTS." International Journal of Cooperative Information Systems 11, no. 03n04 (2002): 329–54. http://dx.doi.org/10.1142/s0218843002000625.

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Cooperative Information Agents and modern information systems in general have to access large amounts of information distributed across multiple heterogeneous sources. A great challenge of such systems is to evolve by adding new information sources or adapting the existing components for different domain knowledge. We propose the [Formula: see text] framework as a methodology to build Information Agents by reusing a library of problem-solving components that are defined in a domain-independent manner. Moreover, the [Formula: see text] language is used as an Agent Capability Description Languag

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25

Eriksson, Henrik, Yuval Shahar, Samson W. Tu, Angel R. Puerta, and Mark A. Musen. "Task modeling with reusable problem-solving methods." Artificial Intelligence 79, no. 2 (1995): 293–326. http://dx.doi.org/10.1016/0004-3702(94)00040-9.

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26

Mortici, Cristinel. "Approximation Methods for Solving the Cauchy Problem." Czechoslovak Mathematical Journal 55, no. 3 (2005): 709–18. http://dx.doi.org/10.1007/s10587-005-0058-1.

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27

Hori, Masahiro, Yuichi Nakamura, and Toshiyuki Hama. "Configuring problem-solving methods: a CAKE perspective." Knowledge Acquisition 6, no. 4 (1994): 461–87. http://dx.doi.org/10.1006/knac.1994.1021.

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28

Baboş, Alina. "Statistical Methods for Solving Transportation Problems." International conference KNOWLEDGE-BASED ORGANIZATION 25, no. 2 (2019): 10–13. http://dx.doi.org/10.2478/kbo-2019-0049.

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Abstract Transportation problem is one of the models of Linear Programming problem. It deals with the situation in which a commodity from several sources is shipped to different destinations with the main objective to minimize the total shipping cost. There are three well-known methods namely, North West Corner Method Least Cost Method, Vogel’s Approximation Method to find the initial basic feasible solution of a transportation problem. In this paper, we present some statistical methods for finding the initial basic feasible solution. We use three statistical tools: arithmetic and harmonic mea

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29

Budiman, Agus, Ayu Aprilia, and Auriza Luthfiah Zain. "The Implementation Problem Solving Methods of Learning Arabic Lesson." Aphorisme: Journal of Arabic Language, Literature, and Education 4, no. 2 (2023): 1–20. http://dx.doi.org/10.37680/aphorisme.v3i2.3462.

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This study examines the process problem-solving method of Arabic lessons at Gontor for the girl's first campus, which is suitable for his students to get good results and according to expectations.The Problem-Solving method provides understanding by stimulating students to pay attention, examine, and think about a problem to analyze the problem further to solve the problem. Analyzing is the concept of combining thoughts with motor activities to solve problems. Sources of data used in this study are primary and secondary data sources. This study uses data collection techniques with interview me

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30

Dr. G. Geetharamani, Dr G. Geetharamani, and C. Sharmila Devi. "An Innovative Method for Solving Fuzzy Transportation Problem." Indian Journal of Applied Research 4, no. 5 (2011): 399–402. http://dx.doi.org/10.15373/2249555x/may2014/124.

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31

Wiener, Joseph, and Will Watkins. "Problem Solving Also Raises Questions." Mathematics Teacher 81, no. 9 (1988): 729–32. http://dx.doi.org/10.5951/mt.81.9.0729.

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Students sometimes confuse problem solving with getting an answer. Indeed, correctly stating and justifying an answer to a well-posed problem is an elementary example of problem solving. However, the student who poses problems and identifies increasingly general methods for solving those problems is gaining problem-solving maturity.

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32

Matveeva, Yuliya V., and Marlvin T. Chigwanda. "Modern methods for solving the optimal control problem in economics." Vestnik of Samara University. Economics and Management 13, no. 4 (2023): 97–105. http://dx.doi.org/10.18287/2542-0461-2022-13-4-97-105.

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The modern formulation of the optimal control problem is given, following which a survey of the methods currently applied in solving the optimal control problem in economics is conducted, with a focus given to numerical methods. The most important problems in the application of numerical methods in solving the optimal control problem are given and explained. The article then lists and explains the most common computational methods of solving the optimal control problem that are being applied in todays economic sphere, how far these methods go in terms of achieving their objectives and providin

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33

Kenzhebayeva, Merey. "Two optimization methods for solving the inverse gravimetrical problem." Journal of Physics: Conference Series 2092, no. 1 (2021): 012017. http://dx.doi.org/10.1088/1742-6596/2092/1/012017.

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Abstract Mineral exploration, in particular, increasing the accuracy of calculations up to now is one of the urgent problems of geophysics. It is necessary to restore the density of a given inhomogeneity after considering the results of measuring the potential and its gradient on the surface of the earth. One of the measured values, the potential or the gradient of the gravity field, is chosen beyond the boundary condition, and the second corresponds to the minimized functional, i.e. one in-verse problem can be put in correspondence two different optimization problems. Both problems are solved

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34

Pekár, Juraj, Ivan Brezina, Jaroslav Kultan, Iryna Ushakova, and Oleksandr Dorokhov. "Computer tools for solving the traveling salesman problem." Development Management 18, no. 1 (2020): 25–39. http://dx.doi.org/10.21511/dm.18(1).2020.03.

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The task of the traveling salesman, which is to find the shortest or least costly circular route, is one of the most common optimization problems that need to be solved in various fields of practice. The article analyzes and demonstrates various methods for solving this problem using a specific example: heuristic (the nearest neighbor method, the most profitable neighbor method), metaheuristic (evolutionary algorithm), methods of mathematical programming. In addition to classic exact methods (which are difficult to use for large-scale tasks based on existing software) and heuristic methods, th

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35

Aliyeva, Sevda Y., and Rabiya M. Abishova. "Methods for solving two-dimensional tasks of cutting raw materials." Nafta-Gaz 80, no. 5 (2024): 312–20. http://dx.doi.org/10.18668/ng.2024.05.07.

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The article discusses the methodology for solving two-dimensional material cutting problems, widely used in practice and applied to industrial equipment. Several modifications of the original problem are considered. An interactive optimization procedure is presented for a general two-dimensional material cutting problem. When cutting correctly, the two dimensions of the cut pieces (usually length and width) must be consistent with the length and width of the sheet. One of the problems most frequently encountered in literature and in practice is the problem of cutting a rectangular material int

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36

Baiduri. "Some Methods Used by Mathematics Teachers in Solving Equations." Journal of Education and Learning (EduLearn) 12, no. 3 (2018): 340–49. https://doi.org/10.11591/edulearn.v12i3.6605.

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This study aimed at analyzing and describing Various Methods used by mathematics teacher in solving equations. Type of this study is descriptive by subject of this study comprised 65 mathematics teachers in senior, junior, and primary schools respectively 15, 33, and 17 in numbers. The data were collected from the answer to containing four problems of equation. Data Coding was conducted by two coding personnel to obtain credible data. The data were then analyzed descriptively. It has been found that the teachers have implemented a method for solving equation problems by means of operation on o

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37

Vladimirov, I. Yu, and A. V. Chistopolskaya. "Eye-tracking and cognitive monitoring as the methods of insight process objectification." Experimental Psychology (Russia) 12, no. 1 (2019): 167–79. http://dx.doi.org/10.17759/exppsy.2019120113.

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Current article highlights the results of the research of specific mechanisms of insight problem solving. It is based on the analysis of eye movement record data made by eye-tracker. The recorded data included average pupil diameter [mm] and fixation duration [ms]; the distribution of averaged eye movement values within the areas of interest during the manipulations with problem space was analyzed. The eye movement data was compared to the cognitive monitoring method data. The specificity of insight problems in comparison with non-insight (algorithmized) problems was validated. Several qualita

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38

SHARUN, I. V., and M. E. OVCHINNIKOV. "SOLVING VARIATIONAL INEQUALITIES BY ITERATIVE METHODS." Applied Mathematics and Fundamental Informatics 11, no. 4 (2024): 10–16. https://doi.org/10.25206/2311-4908-2024-11-4-10-16.

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This article considers a class of iterative algorithms, during the study of which the results are presented in the form of implemented some iterative algorithms from the considered algorithms for solving variational inequalities, applied to solve some types of problems, such as numerical approximation of solving a system of linear algebraic equations, linear complementarity problem, nonlinear variational inequalities. A comparative analysis of the effectiveness of the methods based on graphs of the dependence of the values of the loss function on the number of iterations is carried out.

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39

Aliyev, Samed Jahangir, Maftun N. Heydarova, and Shahin M. Aghazade. "Solving Geometry Problems by Alternative Methods in Mathematics Education." European Journal of Pure and Applied Mathematics 16, no. 2 (2023): 1110–17. http://dx.doi.org/10.29020/nybg.ejpam.v16i2.4721.

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Solving geometry problems is both difficult and interesting. Difficult because there is no general algorithm to solve more or less non-trivial problems as every single problem requires individual and creative approach. At the same time, this is a very interesting activity, because for almost every problem there are plenty of ways to solve it. In this work, we present the method of auxiliary circle divided into equal parts. This method allows finding solution algorithm for some geometry problems which are hard to solve by the method of additional constructions.

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40

Yun, Seock-Bum, Yong-Won Song, and Young-Pyo Sue. "A Study of Anticipatory Failure Determination (AFD) based on Scenario Analysis Methods." Tehnički glasnik 18, no. 3 (2024): 376–84. http://dx.doi.org/10.31803/tg-20231212053424.

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Theory of Inventive Problem Solving (TRIZ) is a methodological algorithm that helps solve complex problems by generating original ideas. The Anticipatory Failure Determination (AFD) method is one of the problem-solving methodologies within TRIZ. It is a creative way to solve problems when you cannot find the cause of a problem or observe the situation in which it occurs. This study aimed to investigate the effectiveness of the Anticipatory Failure Determination (AFD) method, which is one of the problem solving methodologies within the Theory of Inventive Problem Solving (TRIZ). TRIZ is a metho

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41

Akcaoglu, Mete, Lucas J. Jensen, and Daisy Gonzalez. "Understanding Children’s Problem-solving Strategies in Solving Game-based Logic Problems." International Journal of Technology in Education and Science 5, no. 2 (2021): 245–57. http://dx.doi.org/10.46328/ijtes.98.

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Problem solving is an essential skill for students to be successful in life and careers. Students need to use efficient strategies to solve problems effectively. In this basic interpretive qualitative study, we aimed to (a) explore children’s problem-solving strategies in a game-based tool (i.e., puzzles), and (b) investigate the troubleshooting strategies they employed while solving the puzzles. We recorded students’ puzzle-solving efforts, and using an observation analysis approach, noted important moments, patterns in puzzle-solving, troubleshooting methods, and other noteworthy events. Our

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42

Nafisah, Zawahir, Laila Diyatul Husna, and Siti Khayroiyah. "Analysis of Mathematic Problem-Solving Ability in Solving Pythagoras Theorem Problems." Riemann: Research of Mathematics and Mathematics Education 6, no. 2 (2024): 151–63. http://dx.doi.org/10.38114/akm0dp67.

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Problem solving is about finding a solution to a problem, so learning mathematics involves solving problems that relate to everyday life. The method of research used is qualitative descriptive research aimed at describing and explaining the methods of solving problems of Pythagoras's theorem students, as seen from the analysis of student's ability to solve mathematical problems. Information obtained from the work or written answers (tests) that have been completed. In this study, 30 students participated in the 2022/2023 academic year in the eighth grade of Delitua Private High School. The hig

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43

Veal, William. "Chemical Reaction Problem Solving." Hoosier Science Teacher 40, no. 1 (2017): 16–21. http://dx.doi.org/10.14434/thst.v40i1.23275.

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44

Thilmany, Jean. "Probabilistic Problem Solving." Mechanical Engineering 124, no. 01 (2002): 53–55. http://dx.doi.org/10.1115/1.2002-jan-4.

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This article reviews predictive technologies based on a probabilistic method of problem solving. These technologies are gaining a steady foothold as a method of finding answers to engineering and other types of problems. According to the developer of one such technology, these computer programs use mathematical models to predict the probability that something will or won’t happen a particular way in the future. The tools can be used for design, sensitivity analysis, mathematical modeling of complex processes, uncertainty analysis, competitive analysis, and process optimization among other thin

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45

Qu, Biao, and Jing Zhao. "Methods for Solving Generalized Nash Equilibrium." Journal of Applied Mathematics 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/762165.

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The generalized Nash equilibrium problem (GNEP) is an extension of the standard Nash equilibrium problem (NEP), in which each player's strategy set may depend on the rival player's strategies. In this paper, we present two descent type methods. The algorithms are based on a reformulation of the generalized Nash equilibrium using Nikaido-Isoda function as unconstrained optimization. We prove that our algorithms are globally convergent and the convergence analysis is not based on conditions guaranteeing that every stationary point of the optimization problem is a solution of the GNEP.

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46

AUF'M HOFE, HARALD MEYER. "SOLVING ROSTERING TASKS BY GENERIC METHODS FOR CONSTRAINT OPTIMIZATION." International Journal of Foundations of Computer Science 12, no. 05 (2001): 671–93. http://dx.doi.org/10.1142/s0129054101000710.

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Based on experiences with the ORBIS·Dienstplan-system, this paper described how constraint processing can be used to implement automatic rostering systems. In practice, nurse rostering problems have many varying parameters. Hence, rostering requires a flexible formalism for representing the variants of the problem as well as a robust search procedure that is able to cope with all problem instances. On the one hand, the used constraint formalism allows the integration of very fine-grained optimization tasks by fuzzy constraints, which a roster may partially satisfy and partially violate. On the

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47

Annamalai, Nagappan, Shahrul Kamaruddin, Ishak Abdul Azid, and Ts Yeoh. "Problem Solving Methodology in Industry." Applied Mechanics and Materials 533 (February 2014): 510–15. http://dx.doi.org/10.4028/www.scientific.net/amm.533.510.

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This study presents the results of a literature review that was performed to identify and evaluate knowledge management such as problem solving (PS) methods are suitable for identification and analysis of risks on existing issues. The studied methods were compiled into 2 groups which is manufacturing, and research development. The key discussion would be where the PS tool is more relevant and how it help to solve the problem effectively. The aspects studied in the methods are presented together with a short description of its applications, area of the analysis and relevance to industry and edu

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48

Ndayisenga, Serge, Leonid A. Sevastianov, and Konstantin P. Lovetskiy. "Finite-difference methods for solving 1D Poisson problem." Discrete and Continuous Models and Applied Computational Science 30, no. 1 (2022): 62–78. http://dx.doi.org/10.22363/2658-4670-2022-30-1-62-78.

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The paper discusses the formulation and analysis of methods for solving the one-dimensional Poisson equation based on finite-difference approximations - an important and very useful tool for the numerical study of differential equations. In fact, this is a classical approximation method based on the expansion of the solution in a Taylor series, based on which the recent progress of theoretical and practical studies allowed increasing the accuracy, stability, and convergence of methods for solving differential equations. Some of the features of this analysis include interesting extensions to cl

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49

Khlopyk, Iryna. "The role of problem-solving methods in teaching." Visnyk of Lviv University. Series Pedagogics, no. 35 (2021): 201–7. http://dx.doi.org/10.30970/vpe.2021.35.11326.

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This article reveals the pedagogical concept of “teaching methodˮ – one of the key concepts of didactics, a kind of synthesis of the most important components of the educational process: goals, content, principles, forms of teaching, and educational functions. The role of teaching methods used for new experimental course Mathematical Linguistics, is still a truly unexplored sector of Pedagogy. Based on modern requirements for teaching methods, we can distinguish three types of teaching and, accordingly, its three structures that historically evolved in the process of social development. There

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Safina, G. L. "Solving of the filtration problem by numerical methods." Вестник гражданских инженеров 16, no. 4 (2019): 68–73. http://dx.doi.org/10.23968/1999-5571-2019-16-4-68-73.

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