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Journal articles on the topic 'Problem solving Computer simulation'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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1

Garrett, Michael, and Mark McMahon. "Computer-Generated Three-Dimensional Training Environments." International Journal of Gaming and Computer-Mediated Simulations 2, no. 3 (2010): 43–60. http://dx.doi.org/10.4018/jgcms.2010070103.

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Problem-based learning is an instructional strategy that emphasises the accumulation and development of knowledge via an active and experiential based approach to solving problems. This pedagogical framework can be instantiated using gaming technology to provide learners with the ability to control their learning experience within a dynamic, responsive, and visually rich three-dimensional virtual environment. In this regard, a conceptual framework referred to as the Simulation, User, and Problem-based Learning (SUPL) approach has been developed in order to inform the design of 3D simulation en

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Peng, Yamian, Chunfeng Liu, and Dianxuan Gong. "Numerical Simulation Techniques Research and Application in Genetic Algorithm Design." Open Mechanical Engineering Journal 8, no. 1 (2014): 63–68. http://dx.doi.org/10.2174/1874155x01408010063.

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Numerical simulation techniques are also called computer simulation, which take the computer as a means to study all kinds of engineering and physical problems even natural objective through numerical calculation method and image display. This paper studied the numerical simulation techniques and try to solve two-dimensional convectiondiffusion equation parameter identification inverse problem by the genetic algorithm. Firstly, the finite element method was illustrated to solve the steady problem of two-dimensional convection-diffusion equation before it compute parameter identification invers

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Allami, Ahmed J., Maria Grazia Concilio, Pavan Lally, and Ilya Kuprov. "Quantum mechanical MRI simulations: Solving the matrix dimension problem." Science Advances 5, no. 7 (2019): eaaw8962. http://dx.doi.org/10.1126/sciadv.aaw8962.

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We propose a solution to the matrix dimension problem in quantum mechanical simulations of MRI (magnetic resonance imaging) experiments on complex molecules. This problem is very old; it arises when Kronecker products of spin operators and spatial dynamics generators are taken—the resulting matrices are far too large for any current or future computer. However, spin and spatial operators individually have manageable dimensions, and we note here that the action by their Kronecker products on any vector may be computed without opening those products. This eliminates large matrices from the simul

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Dellarosa, Denise. "A computer simulation of children’s arithmetic word-problem solving." Behavior Research Methods, Instruments, & Computers 18, no. 2 (1986): 147–54. http://dx.doi.org/10.3758/bf03201014.

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5

Shen, Xiaojian, W. L. Scheller, and R. Kenneth Wolfe. "Solving a cafeteria dish circulation problem by computer simulation." Computers & Industrial Engineering 29, no. 1-4 (1995): 555–59. http://dx.doi.org/10.1016/0360-8352(95)00133-l.

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Axelsson, O., V. A. Barker, M. Neytcheva, and B. Polman. "SOLVING THE STOKES PROBLEM ON A MASSIVELY PARALLEL COMPUTER." Mathematical Modelling and Analysis 6, no. 1 (2001): 7–27. http://dx.doi.org/10.3846/13926292.2001.9637141.

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We describe a numerical procedure for solving the stationary two-dimensional Stokes problem based on piecewise linear finite element approximations for both velocity and pressure, a regularization technique for stability, and a defect‐correction technique for improving accuracy. Eliminating the velocity unknowns from the algebraic system yields a symmetric positive semidefinite system for pressure which is solved by an inner‐outer iteration. The outer iterations consist of the unpreconditioned conjugate gradient method. The inner iterations, each of which corresponds to solving an elliptic bou

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Mumby, Stephen J. "Solving materials problems by computer simulation." Advanced Materials 9, no. 1 (1997): 9–11. http://dx.doi.org/10.1002/adma.19970090102.

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JOHNSON, TRISTAN E., and CLARK GEDNEY. "Learning Support Assessment Study of a Computer Simulation for the Development of Microbial Identification Strategies." Microbiology Education 2, no. 1 (2001): 18–24. http://dx.doi.org/10.1128/me.2.1.18-24.2001.

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This paper describes a study that examined how microbiology students construct knowledge of bacterial identification while using a computer simulation. The purpose of this study was to understand how the simulation affects the cognitive processing of students during thinking, problem solving, and learning about bacterial identification and to determine how the simulation facilitates the learning of a domain-specific problem-solving strategy. As part of an upper-division microbiology course, five students participated in several simulation assignments. The data were collected using think-aloud

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9

Woodward, John, Douglas Carnine, and Russell Gersten. "Teaching Problem Solving Through Computer Simulations." American Educational Research Journal 25, no. 1 (1988): 72–86. http://dx.doi.org/10.3102/00028312025001072.

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10

Gorrell, Jeffrey, and Hunter Downing. "Effects of Computer-Simulated Behavior Analysis on Pre-Service Teachers' Problem Solving." Journal of Educational Computing Research 5, no. 3 (1989): 335–47. http://dx.doi.org/10.2190/kw8y-f816-bfvn-lqqb.

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Undergraduate students ( n = 64) enrolled in an educational psychology course were randomly assigned to groups (computer simulation, extended-instruction, problem solving, and control) to practice behavior management principles related to classroom problems. On the main dependent measure, applied problem-solving, the computer simulation group was the only group to show significantly higher level of performance on the total measure over the control group. For the targeted subskills within the applied measure, the simulation group scored significantly higher than all groups; the extended-instruc

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Fabianova, Jana, Jaroslava Janekova, and Jozef Horbulak. "SOLVING THE BOTTLENECK PROBLEM IN A WAREHOUSE USING SIMULATIONS." Acta logistica 8, no. 2 (2021): 107–16. http://dx.doi.org/10.22306/al.v8i2.209.

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The uneven workload distribution and working time utilisation create a bottleneck, leading to inefficient utilisation of capacity and increased costs. A bottleneck is a limiting and risk factor for any business entity. In the case of a distribution warehouse, the bottleneck limits its ability to meet the requirements for sending an order within the required time limit. Delays at any phase of a distribution process may result in non-compliance with customer requirements. In solving capacity problems and bottlenecks elimination, computer simulations and optimisation are often used. The article p

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12

Mandinach, Ellen B., and Marcia C. Linn. "The Cognitive Effects of Computer Learning Environments." Journal of Educational Computing Research 2, no. 4 (1986): 411–27. http://dx.doi.org/10.2190/tvfd-b7t8-gubf-fw86.

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The potential cognitive consequences of computers in education are just starting to emerge. The power and capabilities of computers change rapidly. Researchers often working with outmoded computer learning environments have just begun to catalog and analyze the activities that occur in these situations. There is clear agreement that computers can help students learn to solve problems and that computers might help to ameliorate the dearth of problem-solving activities in classrooms. A useful way to think about the potential advantages of the computer learning environments is in terms of a chain

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13

Walton, Karen Doyle. "Probability, Computer Simulation, and Mathematics." Mathematics Teacher 83, no. 1 (1990): 22–25. http://dx.doi.org/10.5951/mt.83.1.0022.

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Many students fail to recognize the interrelationships among computers, pure mathematics, and the real world. The subject of probability can motivate students to explore various methods of problem solving, combining empirical data, simulations, and theoretical solutions. Probabilistic statements encountered in everyday life (e.g., weather predictions, state lotteries, financial forecasting) are frequently derived from the integration of observation and theoretical analysis.

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Avramiotis, Spyridon, and Georgios Tsaparlis. "Using computer simulations in chemistry problem solving." Chem. Educ. Res. Pract. 14, no. 3 (2013): 297–311. http://dx.doi.org/10.1039/c3rp20167h.

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15

Rivers, Robert H., and Edward Vockell. "Computer simulations to stimulate scientific problem solving." Journal of Research in Science Teaching 24, no. 5 (1987): 403–15. http://dx.doi.org/10.1002/tea.3660240504.

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16

Čiegis, R., A. Dement'ev, and P. Rate. "A PARALLEL ALGORITHM FOR SOLVING ONE PROBLEM OF NONLINEAR OPTICS." Mathematical Modelling and Analysis 4, no. 1 (1999): 58–69. http://dx.doi.org/10.3846/13926292.1999.9637111.

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This paper deals with a system of nonlinear differential equations, which describe the interaction of two focused laser beams in nonlinear media. The system of equations is approximated by a splitting finite difference scheme. A parallel version of the finite‐difference scheme is proposed and the efficiency of this algorithm is investigated. Calculations are performed using clusters of computers, connected via local computer network. The emphasis is made on solving this problem on heterogeneous clusters. In the paper a static distribution scheme is analyzed. The results of several computationa

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17

Ennis, Catherine D., and Margaret J. Safrit. "Using a computer simulation to compare expert/novice problem-solving subroutines." British Journal of Educational Technology 22, no. 3 (1991): 174–86. http://dx.doi.org/10.1111/j.1467-8535.1991.tb00058.x.

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Hollingsworth, Maurice, and John Woodward. "Integrated Learning: Explicit Strategies and Their Role in Problem-Solving Instruction for Students with Learning Disabilities." Exceptional Children 59, no. 5 (1993): 444–55. http://dx.doi.org/10.1177/001440299305900507.

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This study investigated the effectiveness of an explicit strategy as a means of linking facts, concepts, and problem solving in an unfamiliar domain of learning. Participants were 37 secondary students with learning disabilities. All students were taught health facts and concepts, which they then applied to problem-solving exercises presented through computer-simulation games. Students in the experimental group were taught an explicit strategy for solving the problems; the comparison group was given supportive feedback and encouraged to induce their own strategies. The explicit strategy group

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JÁVOR, ANDRÁS. "SIMULATION WITH EMBEDDED AI FOR TRANSDISCIPLINARY PROBLEM SOLVING." International Journal of Modeling, Simulation, and Scientific Computing 01, no. 01 (2010): 85–98. http://dx.doi.org/10.1142/s179396231000002x.

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In this article, a methodology and its application in various fields is dealt with. The theoretical research work has been undertaken at the McLeod Institute of Simulation Sciences Hungarian Center and its results have been implemented in the CASSANDRA (Cognizant Adaptive Simulation System for Applications in Numerous Different Relevant Areas) simulation system. The applications covered a wide range of areas where the tool system and the methodology have been applied with success. Most of these were in the framework of international projects of the European Union.

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20

Hsu, Jerry, Nghia Truong, Cem Yuksel, and Kui Wu. "A general two-stage initialization for sag-free deformable simulations." ACM Transactions on Graphics 41, no. 4 (2022): 1–13. http://dx.doi.org/10.1145/3528223.3530165.

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Initializing simulations of deformable objects involves setting the rest state of all internal forces at the rest shape of the object. However, often times the rest shape is not explicitly provided. In its absence, it is common to initialize by treating the given initial shape as the rest shape. This leads to sagging, the undesirable deformation under gravity as soon as the simulation begins. Prior solutions to sagging are limited to specific simulation systems and material models, most of them cannot handle frictional contact, and they require solving expensive global nonlinear optimization p

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Farahmand, Kambiz, Satpal Singh Wadhwa, and Mahmoud Mostafa. "INTEGRATING ANIMATION INTO TEACHING COMPUTER SIMULATION." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY 7, no. 3 (2016): 1176–81. http://dx.doi.org/10.24297/ijrem.v7i3.3827.

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Computer simulation is an experiment using a computer model to represent a unique system.Â Variables are defined and parameters to be study are monitored and recorded. Growing caÂpabilities and decreasing costs of microcomputers are placing this powerful tool at the fingertips of scientists and engineers. In the past, the use of digital computers in simulation required a considerable amount of programming effort. This is no longer a true statement.Â Simulation provides the student with a greater breadth and depth of information on which decisions could be made. It is also considered one of th

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Mills, R. I. "Solving business problems by simulation." Computer-Aided Design 21, no. 8 (1989): 535. http://dx.doi.org/10.1016/0010-4485(89)90063-8.

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23

Müller-Merbach, H. "Heuristics: Intelligent search strategies for computer problem solving." European Journal of Operational Research 21, no. 2 (1985): 278–79. http://dx.doi.org/10.1016/0377-2217(85)90047-5.

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24

Usman, Ari, and Yuyun Dwi Lestari. "Pemodelan Gerakan Chess Knight dalam Masalah System Produksi." Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) 6, no. 1 (2025): 73–84. https://doi.org/10.35447/jikstra.v6i1.1074.

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Artificial Intelligence is a part of computer science that studies how to make computers able to do work like humans do. The horse checker on a chess board has a movement that resembles the letter L. This chess checker is one of the pieces that is very difficult to move and is often the most dangerous checker if you don't pay close attention to each movement. The simulation of this problem provides an n x n chessboard. The goal of this problem is to move a horse from a certain position on the chess board to the desired goal position by simulating all the shortest possible movement solutions to

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25

Coulter, Xenia. "A New Way of Teaching Statistics." Journal of Educational Technology Systems 24, no. 2 (1995): 181–87. http://dx.doi.org/10.2190/k906-0m2x-cgte-7xgv.

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Teaching statistics through computer-assisted simulations eliminates the constraints and challenges associated with teaching the course using mathematics. It also provides students with a practical means for solving real-life problems and a solid conceptual grasp of the problem-solving nature of the discipline. A text that deemphasizes mathematics and introduces simulation as a means of understanding concepts, along with software designed for computer-intensive statistical methods and a workbook of journal article selections provide the foundation materials for such a study of statistics. A sp

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26

Woodward, John P., Douglas Carnine, and Lorraine G. Davis. "Health ways: a computer simulation for problem solving in personal health management." Family & Community Health 9, no. 2 (1986): 60–63. http://dx.doi.org/10.1097/00003727-198608000-00008.

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27

Chandler, Terrell N., and Christine Chaillé. "Process Highlighters in a Computer Simulation: Facilitation of Theory-Oriented Problem Solving." Journal of Educational Computing Research 9, no. 2 (1993): 237–63. http://dx.doi.org/10.2190/3ggg-k9cc-19xc-9g0w.

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This experiment investigates whether or not process highlighters, incorporated in a computer simulation, facilitate the knowledge representation of early adolescent children. Process highlighters are perceptual cues (usually visual) that are designed to focus attention toward critical features of events and processes occurring in a problem domain. The two questions addressed in this study are: a) do process highlighters increase the percentage of subjects who employ theory-oriented explanation?, and b) do process highlighters increase the percentage of subjects who demonstrate an understanding

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Yilmaz, Levent, Tuncer I. Ören, and Nasser Ghasem-Aghaee. "Simulation-based problem-solving environments for conflict studies." Simulation & Gaming 37, no. 4 (2006): 534–56. http://dx.doi.org/10.1177/1046878106292537.

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29

Wu, Dongqing, and Yunong Zhang. "From Penrose Equations to Zhang Neural Network, Getz–Marsden Dynamic System, and DDD (Direct Derivative Dynamics) Using Substitution Technique." Discrete Dynamics in Nature and Society 2021 (November 20, 2021): 1–21. http://dx.doi.org/10.1155/2021/4227512.

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The time-variant matrix inversion (TVMI) problem solving is the hotspot of current research because of its frequent appearance and application in scientific research and industrial production. The generalized inverse problem of singular square matrix and nonsquare matrix can be related to Penrose equations (PEs). The PEs implicitly define the generalized inverse of a known matrix, which is of fundamental theoretical significance. Therefore, the in-depth study of PEs might enlighten problem solving of TVMI in a foreseeable way. For the first time, we construct three different matrix error-monit

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SENGUPTA, BIKRAM, ANSHU JAIN, KAMAL BHATTACHARYA, HONG-LINH TRUONG, and SCHAHRAM DUSTDAR. "COLLECTIVE PROBLEM SOLVING USING SOCIAL COMPUTE UNITS." International Journal of Cooperative Information Systems 22, no. 04 (2013): 1341002. http://dx.doi.org/10.1142/s0218843013410025.

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Service process orchestration using workflow technologies has led to significant improvements in generating predicable outcomes by automating tedious manual tasks but suffer from challenges related to the flexibility required in work especially when humans are involved. Recently emerging trends in enterprises to explore social computing concepts have realized value in more agile work process orchestrations but tend to be less predictable with respect to outcomes. In this paper, we use IT services management, specifically, incident management for large scale systems, to investigate the interpla

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Kuliabko, Petro, and Rostislav Pikulsky. "Real-time global illumination computation status and further research prospects." Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics, no. 4 (2022): 72–79. http://dx.doi.org/10.17721/1812-5409.2022/4.9.

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Currently, computer graphics is a very important part of computer science. Graphics-related developments have been used in many different situations, for example, in animated and cinema movie productions, in computer graphics applications, modeling, and simulation systems, for different visualizations in medicine, mathematics, physics, etc. One of the main problems of computer graphics is the task of transforming the information of some imaginary scene and its observer into a photorealistic image of this scene for them. Solving this problem is very important, but right now obtaining a good qua

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Ruiz Ledesma, Elena Fabiola, and Juan Jesús Gutiérrez García. "Simulation as a Resource in the Calculus Solving Problem." International Journal of Systems Applications, Engineering & Development 15 (November 28, 2021): 172–77. http://dx.doi.org/10.46300/91015.2021.15.25.

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This article is derived from the research project and developed at School of Computer Sciences of the National Polytechnic Institute of Mexico. The article reports on the problems found among engineering students with respect to their resistance to using different representation registers when solving optimization problems in the Calculus Learning Unit. Use of such registers could help the students to build mathematics knowledge and to solve calculus problems. As a didactic strategy, simulations are used in an electronic environment in order to support the students by fostering their use of ta

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Xu, Haochen, Guanhua Fang, Yunxiao Chen, Jingchen Liu, and Zhiliang Ying. "Latent Class Analysis of Recurrent Events in Problem-Solving Items." Applied Psychological Measurement 42, no. 6 (2018): 478–98. http://dx.doi.org/10.1177/0146621617748325.

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Computer-based assessment of complex problem-solving abilities is becoming more and more popular. In such an assessment, the entire problem-solving process of an examinee is recorded, providing detailed information about the individual, such as behavioral patterns, speed, and learning trajectory. The problem-solving processes are recorded in a computer log file which is a time-stamped documentation of events related to task completion. As opposed to cross-sectional response data from traditional tests, process data in log files are massive and irregularly structured, calling for effective expl

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Chance, Joseph E., and Pearl W. Brazier. "Two Problems That Illustrate the Techniques of Computer Simulation." Mathematics Teacher 79, no. 9 (1986): 726–31. http://dx.doi.org/10.5951/mt.79.9.0726.

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Most introductory courses in computing include a discussion or illustration of the technique of simulation (Gear 1978, 55-59; Pohl and Shaw 1981. 235-362). Problems involving simulation illustrate the enormous computational abilities of even a microcomputer and, more important, allow the student to observe a new facet of mathematical thinking. A traditional mathematics curriculum prepares the student to use deductive reasoning in problem solving, with little stress on inductive methods of solution. The reason generally given for such neglect is that it is impossible to consider an “adequate nu

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Mandinach, Ellen B. "Model-Building and the Use of Computer Simulation of Dynamic Systems." Journal of Educational Computing Research 5, no. 2 (1989): 221–43. http://dx.doi.org/10.2190/7w4f-xy0h-l6fh-39r8.

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The Systems Thinking and Curriculum Innovation (STACI) Project is a multi-year research effort intended to examine the cognitive impact of learning from a systems thinking approach to instruction and from using simulation-modeling software. Systems thinking is an analytic problem solving tool that can be integrated into courses to supplement and enhance instruction in a variety of content areas. The purpose of the study is to test the potentials and effects of using the technology-based approach in secondary school curricula to teach content-specific knowledge as well as general problem solvin

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Khoroshev, Artem. "Simulation of Nonlinear Magnetic Systems by the Finite Element Method Using BLR-Factorization." Известия высших учебных заведений. Электромеханика 64, no. 4-5 (2021): 14–19. http://dx.doi.org/10.17213/0136-3360-2021-4-5-14-19.

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The possibility of practical application of BLR-factorization (low-rank approximation of the matrix of un-knowns of a system of linear equations) for finite element modeling of the electromagnetic field topology of nonlinear magnetic systems is considered. A method for estimating the accuracy of the computed solution of the SLAE and the nature of the influence of the given accuracy of the low-rank approximation of the matrix of un-knowns on the upper limit of the relative forward error of the computed solution of the SLAE are shown. Using a model problem as an example, the dependence of the ac

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Fletcher, Charles R. "Understanding and solving arithmetic word problems: A computer simulation." Behavior Research Methods, Instruments, & Computers 17, no. 5 (1985): 565–71. http://dx.doi.org/10.3758/bf03207654.

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Semerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, and Arnold Kiv. "Using spreadsheets as learning tools for computer simulation of neural networks." SHS Web of Conferences 75 (2020): 04018. http://dx.doi.org/10.1051/shsconf/20207504018.

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The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet ad

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Bai, Li Xia, Shun Chu Li, Dong Dong Gui, Cong Yin Fan, Xiao Xu Dong, and Bin Zhou. "Similar Structure Algorithm for Solving Boundary Value Problem of Differential Equations." Applied Mechanics and Materials 574 (July 2014): 665–71. http://dx.doi.org/10.4028/www.scientific.net/amm.574.665.

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Based on the similar structure theory, we conduct rigorous mathematical derivation and proof for the boundary value problem of a class of differential equation . We put forward a new algorithm------Similar Structure Algorithm to solve such boundary value problems. The similar structure algorithm only includes arithmetic and logical operation, hence it can be oriented towards computer. According to the similar structure algorithm, an example is given to conduct a simulation experiment by the application of computer software at the end of the paper. And we also observe and analysis the variation

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Liu, Lu. "Solving 0-1 Knapsack Problems by Greedy Method and Dynamic Programming Method." Advanced Materials Research 282-283 (July 2011): 570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.570.

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The 0-1 knapsack problem is typical problem in computer science and its solution is a hot spot in algorithms design and verification. Because it is very hard to solve, it is very important in the research on cryptosystem and number theory. In this paper, the 0-1 knapsack problem and its algorithm is analyzed firstly. And then this paper presents two kinds of expand form, and proposes two efficient algorithms based on dynamic programming and greedy algorithm to solve the proposed problems. Simulation results show it is effective.

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Tang, Xiu Ying, Jie Shi, Li Chang Chen, Lin Lin Yang, and Xue Mei Leng. "Logistics Simulation and Optimization Design of One Production Line Based on Flexsim." Applied Mechanics and Materials 397-400 (September 2013): 2622–25. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2622.

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At present, with the rapid development of manufacturing industry, the problem in the production process is constantly exposed. This kind of production system is very complicated that it is often the spatial variable, time variable and random variable interdependent dynamic problems. The computer simulation software is the one of the best effective way to find out the problems existing in the production process. This paper takes one product line as example, using Flexsim simulation software in the production line for modeling and simulation. Then the simulation test and simulation analysis is d

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Simmons, Patricia E., and Vincent N. Lunetta. "Problem-solving behaviors during a genetics computer simulation: Beyond the expert/novice dichotomy." Journal of Research in Science Teaching 30, no. 2 (1993): 153–73. http://dx.doi.org/10.1002/tea.3660300204.

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Cao, Shun. "Effects of Search Strategies on Collective Problem-Solving." Mathematics 11, no. 22 (2023): 4642. http://dx.doi.org/10.3390/math11224642.

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In today’s dynamic and complex social environments, collaborative human groups play a critical role in addressing a wide range of real-world challenges. Collective problem-solving, the process of finding solutions through the collaboration of individuals, has become imperative in addressing scientific and technical problems. This paper develops an agent-based model to investigate the influence of different search strategies (simple local search, random search, and adaptive search) on the performance of collective problem-solving under various conditions. The research involves simulations on va

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Andrade, Leo Pasqualini de, Augusto Cláudio Santa Brígida Tirado, Valério Brusamolin, and Mateus Das Neves Gomes. "Solving a hypothetical chess problem: a comparative analysis of computational methods and human reasoning." Revista Brasileira de Computação Aplicada 11, no. 1 (2019): 96–103. http://dx.doi.org/10.5335/rbca.v11i1.9111.

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Computational modeling has enabled researchers to simulate tasks which are very often impossible in practice, such as deciphering the working of the human mind, and chess is used by many cognitive scientists as an investigative tool in studies on intelligence, behavioral patterns and cognitive development and rehabilitation. Computer analysis of databases with millions of chess games allows players’ cognitive development to be predicted and their behavioral patterns to be investigated. However, computers are not yet able to solve chess problems in which human intelligence analyzes and evaluate

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Starikovičius, Vadimas, Raimondas Čiegis, and Oleg Iliev. "A PARALLEL SOLVER FOR THE DESIGN OF OIL FILTERS." Mathematical Modelling and Analysis 16, no. 1 (2011): 326–41. http://dx.doi.org/10.3846/13926292.2011.582591.

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Nowadays, it is widely recognized that computer simulation plays a crucial role in designing oil filters used in the automotive industry. However, even a single direct simulation of the flow usually requires significant computational resources. Thus, it is obvious that solution of optimization problems is only feasible using parallel computers and algorithms.In this paper, we present a general master-slave parallel template, which was specially designed for the easy integration of direct parallel solvers into a parallel optimization tool. We show how an already existing direct solver for the 3

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Hwang, M. J., C. I. Chiang, and Y. H. Liu. "Solving a fuzzy set-covering problem." Mathematical and Computer Modelling 40, no. 7-8 (2004): 861–65. http://dx.doi.org/10.1016/j.mcm.2004.10.015.

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Kornilov, Viktor S. "Development of students’ scientific knowledge on computer modeling while teaching inverse problems for differential equations." RUDN Journal of Informatization in Education 19, no. 1 (2022): 54–61. http://dx.doi.org/10.22363/2312-8631-2022-19-1-54-61.

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Problem statement. Currently, the higher school provides students of physical and mathematical training areas with fundamental subject knowledge, forms professional competencies, develops creative abilities and creativity, teaches them to use modern computer technologies to solve applied problems. One of such academic disciplines, in which students are taught to use computer technologies in solving applied mathematical problems, is a training course called Inverse problems for differential equations. Such an academic discipline has been taught in some Russian universities in the form of electi

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Sabelfeld, Karl K., and Nikita Popov. "Monte Carlo tracking drift-diffusion trajectories algorithm for solving narrow escape problems." Monte Carlo Methods and Applications 26, no. 3 (2020): 177–91. http://dx.doi.org/10.1515/mcma-2020-2073.

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AbstractThis study deals with a narrow escape problem, a well-know difficult problem of evaluating the probability for a diffusing particle to reach a small part of a boundary far away from the starting position of the particle. A direct simulation of the diffusion trajectories would take an enormous computer simulation time. Instead, we use a different approach which drastically improves the efficiency of the diffusion trajectory tracking algorithm by introducing an artificial drift velocity directed to the target position. The method can be efficiently applied to solve narrow escape problems

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Rodríguez, Alejandro, and James A. Reggia. "Extending Self-Organizing Particle Systems to Problem Solving." Artificial Life 10, no. 4 (2004): 379–95. http://dx.doi.org/10.1162/1064546041766424.

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Self-organizing particle systems consist of numerous autonomous, purely reflexive agents (“particles”) whose collective movements through space are determined primarily by local influences they exert upon one another. Inspired by biological phenomena (bird flocking, fish schooling, etc.), particle systems have been used not only for biological modeling, but also increasingly for applications requiring the simulation of collective movements such as computer-generated animation. In this research, we take some first steps in extending particle systems so that they not only move collectively, but

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SADAOUI, SAMIRA, MALEK MOUHOUB, and BO CHEN. "AN EFFICIENT LOTOS-BASED FRAMEWORK FOR DESCRIBING AND SOLVING (TEMPORAL) CSPs." International Journal of Software Engineering and Knowledge Engineering 19, no. 06 (2009): 765–89. http://dx.doi.org/10.1142/s0218194009004416.

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Simulation of complex Lotos specifications is not always efficient due to the space explosion problem of their corresponding transition systems. To overcome this difficulty in practice, we present in this paper a novel approach which integrates constraint propagation techniques into the Lotos specifications. These solving techniques are used to reduce the size of the search space before and during the search for a solution to a given combinatorial problem under constraints. In order to do that, we first tackle the challenging task of describing combinatorial problems in Lotos using the Constra

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