Relevant bibliographies by topics / Linear mathematical model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Linear mathematical model'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Linear mathematical model"

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Komogortsev, Oleg, Corey Holland, Sampath Jayarathna, and Alex Karpov. "2D Linear oculomotor plant mathematical model." ACM Transactions on Applied Perception 10, no. 4 (2013): 1–18. http://dx.doi.org/10.1145/2536764.2536774.

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Wu, Liqing, Naijie Qi, Chengcheng Chang, et al. "Linear mathematical model for the unique solution of 3D ptychographic iterative engine." Chinese Optics Letters 22, no. 5 (2024): 050501. http://dx.doi.org/10.3788/col202422.050501.

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Okhrimenko, Viacheslav, and Maiia Zbіtnieva. "Mathematical Model of Tubular Linear Induction Motor." Mathematical Modelling of Engineering Problems 8, no. 1 (2021): 103–9. http://dx.doi.org/10.18280/mmep.080113.

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Problem of calculation of distribution of magnetic field induction in clearance of tubular linear induction motor (TLIM) is considered. Mathematical model is represented by Fredholm integral equations of second kind for complexes of electric field strength and density of coupled magnetization currents at interface of environments. Algorithm of calculation of distribution of magnetic field induction in TLIM clearance has been developed. Dependence of magnetic field induction in motor clearance on value of pole division is investigated. There is area of optimum pole pitch. Reliability of results
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Osipov, S. P., E. Yu Usachev, S. V. Chakhlov, et al. "A Mathematical Model of Digital Linear Tomography." Russian Journal of Nondestructive Testing 55, no. 5 (2019): 407–17. http://dx.doi.org/10.1134/s1061830919050085.

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Neamah, Kawther Abood. "Mathematical Model for Handling Unstable Time Series by Using a Linear Approximation Technique." Webology 19, no. 1 (2022): 2835–52. http://dx.doi.org/10.14704/web/v19i1/web19189.

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Time series are typically built on basic assumptions that include stationarity, linearity and normality. The three characteristics are crucial for estimating and building time series models. Studies on time series include these assumptions. To deal with unstable time series that are based on its basis, mathematical models that are suitable for such series are adopted in this study. A nonlinear self-regression model, called the rational model, is proposed. This model is a fraction in which the numerator is the complete sine function and the denominator is an exponential self-regression model. T
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KANEKO, Satoshi, Ryuta SATO, and Masaomi TSUTSUMI. "Mathematical Model of Linear Motor Stage with Non-linear Friction Characteristics." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2007.4 (2007): 8D414. http://dx.doi.org/10.1299/jsmelem.2007.4.8d414.

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KANEKO, Satoshi, Ryuta SATO, and Masaomi TSUTSUMI. "Mathematical Model of Linear Motor Stage with Non-Linear Friction Characteristics." Journal of Advanced Mechanical Design, Systems, and Manufacturing 2, no. 4 (2008): 675–84. http://dx.doi.org/10.1299/jamdsm.2.675.

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Swaminathan, B., G. Komahan, and A. Venkatesh. "Linear and non-linear mathematical model of the physiological behavior of diabetes." Scientific Temper 15, spl-1 (2025): 389–94. https://doi.org/10.58414/scientifictemper.2024.15.spl.45.

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This paper’s goals center on understanding the physiological behavior of diabetes, specifically type 2 diabetes, through mathematical modeling and in order to assess the health of diabetic patients and identify the most effective and practical blood glucose control strategies. Additionally, research on diabetes patients, both those with and without complications, is the main objective. Either a new model can be built or an existing model can be improved in order to develop a mathematical model for diabetes mellitus.
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Zhuzhgov, Nikita, and Anatoly Klyuchnikov. "Mathematical Model for Studying a Linear Synchronous Motor." Известия высших учебных заведений. Электромеханика 64, no. 6 (2021): 22–28. http://dx.doi.org/10.17213/0136-3360-2021-6-22-28.

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In the presented article, synchronous electric motors of reciprocating motion of a linear structure and a typical rotational motion are considered. As a rule, such electric motors are two-phase, one winding is supplied with constant voltage, and the other with alternating voltage. To study transient processes in linear synchronous motors (SM), the equations of Park-Gorev SD of rotary action were taken as a basis, but they were transformed taking into account the necessary additions. As a result of the work, a mathematical model of linear SD is shown, which allows one to study the reciprocating
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M. "Mathematical Analysis of the Non Linear Epidemic Model." Journal of Mathematics and Statistics 8, no. 2 (2012): 258–63. http://dx.doi.org/10.3844/jmssp.2012.258.263.

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Dissertations / Theses on the topic "Linear mathematical model"

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Tonner, Jaromír. "Overcomplete Mathematical Models with Applications." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-233893.

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Chen, Donoho a Saunders (1998) studují problematiku hledání řídké reprezentace vektorů (signálů) s použitím speciálních přeurčených systémů vektorů vyplňujících prostor signálu. Takovéto systémy (někdy jsou také nazývány frejmy) jsou typicky vytvořeny buď rozšířením existující báze, nebo sloučením různých bazí. Narozdíl od vektorů, které tvoří konečně rozměrné prostory, může být problém formulován i obecněji v rámci nekonečně rozměrných separabilních Hilbertových prostorů (Veselý, 2002b; Christensen, 2003). Tento funkcionální přístup nám umožňuje nacházet v těchto prostorech přesnější reprezen
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Goldin, Graham Mark. "A linear eddy model for steady-state turbulent combustion." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/12547.

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Mi, Wen. "System identification and model reduction with adaptive rational orthogonal basis." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2581511.

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Chen, Fei, and 陳飛. "Linear programming techniques for algorithms with applications in economics." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206329.

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We study algorithms and models for several economics-related problems from the perspective of linear programming. In network bargaining games, stable and balanced outcomes have been investigated in previous work. However, existence of such outcomes requires that the linear program relaxation of a certain maximum matching problem has integral optimal solution. We propose an alternative model for network bargaining games in which each edge acts as a player, who proposes how to split the weight of the edge among the two incident nodes. We show that the distributed protocol by Kanoria et. al ca
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Omari, Mohamed. "Analysis of the effects of growth-fragmentation-coagulation in phytoplankton dynamics." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17793.

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Thesis (MSc)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: An integro-differential equation describing the dynamical behaviour of phytoplankton cells is considered in which the effects of cell division and aggregation are incorporated by coupling the coagulation-fragmentation equation with growth, and the McKendrick-von Foerster renewal model of an age-structured population. Under appropriate conditions on the model parameters, the associated initial-boundary value problem is shown to be well posed in a physically relevant Banach space using the theory of strongly continuous semig
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Abeykoon, Mahinda. "Stepwise application of unconstrained linear mixture model for classification of urban land cover." Virtual Press, 2004. http://liblink.bsu.edu/uhtbin/catkey/1306381.

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This study involves stepwise application of Unconstrained Linear Mixer Model (ULMM) for sub-pixel classification of residential areas using Land sat 7 TM image. The image was geometrically and radiometrically corrected and spectral enhancement and classifications were done to determine the possible number of target classes. In the first step, five end-members were used as inputs and the pixels which were considered as well fit to ULMM were identified as outputs. The unidentified pixels were separated and taken to the second step with new end members. This method identified 52% of the mixed pix
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Loik, V. B., V. Havrysh, and L. Kolyasa. "Non-linear mathematical 3D model of determination of temperature field in elements of microelectronic devices (Scopus)." Thesis, XIІI International Scientific and Technical Conference “Computer Sciences and Information Technologies” CSIT 2018, 2018. http://hdl.handle.net/123456789/5324.

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Wang, Qing, and 王卿. "Model reduction for dynamic systems with time delays: a linear matrix inequality approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38645439.

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Marx, Brian D. "Ill-conditioned information matrices and the generalized linear model: an asymptotically biased estimation approach." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53584.

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In the regression framework of the generalized linear model (Nelder and Wedderburn (1972)), interative maximum likelihood parameter estimation is employed via the method of scoring. This iterative procedure involves a key matrix, the information matrix. Ill-conditioning of the information matrix can be responsible for making many desirable properties of the parameter estimates unattainable. Some asymptotically biased alternatives to maximum likelihood estimation are put forth which alleviate the detrimental effects of near singular information. Notions of ridge estimation (Hoerl and Kennard (1
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Carman, Benjamin Andrew. "Repairing Redistricting: Using an Integer Linear Programming Model to Optimize Fairness in Congressional Districts." Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1619177994406176.

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Books on the topic "Linear mathematical model"

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Geological Survey (U.S.), ed. Linear Q model calculations. U.S. Dept. of the Interior, Geological Survey, 1985.

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Williams, H. P. Model building in mathematical programming. 5th ed. Wiley, 2013.

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Duke, Eugene L. Derivation and definition of a linear aircraft model. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Jaromír, Antoch, and Summer School on "Computational Aspects of Model Choice" (1991 : Prague, Czech Republic), eds. Computational aspects of model choice. Physica-Verlag, 1993.

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Enderle, John D. Models of horizontal eye movements: A 3rd order linear saccade model. Morgan & Claypool, 2010.

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Driscoll, M. J. The linear reactivity model for nuclear fuel management. American Nuclear Society, 1990.

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Kallio, Markku. A model for the forest sector. International Institute for Applied Systems Analysis, 1985.

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Lindstadt, Gregory L. Comparison of linear and non-linear hydrologic flood routing models on four California rivers and relationship of model parameters to channel physical characteristics. Hydraulic Engineering Laboratory and Water Resources Center Archives, University of California, 1986.

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Benigno, Pierpaolo. Optimal taxation in an RBC model: A linear-quadratic approach. National Bureau of Economic Research, 2005.

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Benigno, Pierpaolo. Optimal taxation in an RBC model: A linear-quadratic approach. National Bureau of Economic Research, 2005.

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Book chapters on the topic "Linear mathematical model"

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Williams, H. P. "Model Building in Linear and Integer Programming." In Computational Mathematical Programming. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82450-0_2.

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Bucalem, Miguel Luiz, and Klaus-Jürgen Bathe. "The linear 3-D elasticity mathematical model." In Computational Fluid and Solid Mechanics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-26400-2_3.

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Dhaene, Geert. "Encompassing tests for the linear model." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-46832-2_5.

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Tanizaki, Hisashi. "State-Space Model in Linear Case." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-22237-9_2.

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Murray, Walter. "Methods for Large-Scale Linear Programming." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_5.

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van de Panne, Cornelis. "Decentralized Optimization for Structured Linear Programming Models." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_26.

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Wolkowicz, Henry, and Adi Ben-Israel. "Computational Geometry and Low Dimensional Linear Programs." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_33.

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Gassmann, Gus. "Multiperiod Linear Stochastic Programming and a Forestry Application." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_13.

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Shevchenko, R. I. "Stabilization of the Two Degree of Freedom Linear Milling Model." In Mathematical Analysis With Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42176-2_15.

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Johnson, Ellis L. "Modeling and Strong Linear Programs for Mixed Integer Programming." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_1.

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Conference papers on the topic "Linear mathematical model"

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Algareeb, Eman Talib, and Valeriy Osipovich Osipyan. "A Mathematical Model of Asymmetric Encryption Based on Linear Diophantine Equations." In 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2024. http://dx.doi.org/10.1109/icecet61485.2024.10697990.

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Ait-Essi, Oumaima, Joseph J. Yamé, Hicham Jamouli, and Frédéric Hamelin. "Reinforcement Learning for Model-Free Linear Quadratic Control of Building HVAC Systems." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803868.

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Hirayama, Tadashi. "Reciprocating Drive of Position Sensorless Linear Switched Reluctance Motor Based on Mathematical Model of Magnetization Curves." In 2024 27th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2024. https://doi.org/10.23919/icems60997.2024.10921310.

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Macko, Dávid, Jozef Hrbček, Mário Michálik, Jakub Krško, Patrik Kovačovič, and L̆ubomír Hrmo. "Design and Simulation of a Mathematical Model for Virtual Mechanical Systems with Non-Linear Dynamics and Friction Modelling." In 2025 26th International Carpathian Control Conference (ICCC). IEEE, 2025. https://doi.org/10.1109/iccc65605.2025.11022929.

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Alexander, Shmelev, and Yasoveev Vasih. "Mathematical model of magnetostrictive linear displacement transducer." In 2019 International Conference on Electrotechnical Complexes and Systems (ICOECS). IEEE, 2019. http://dx.doi.org/10.1109/icoecs46375.2019.8949885.

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Rotaru, Constantin, Simona Roateşi, and Ionică Cîrciu. "Aircraft engine mathematical model – linear system approach." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015). Author(s), 2016. http://dx.doi.org/10.1063/1.4952084.

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Henzel, M., K. Falkowski, and P. Mazurek. "Mathematical model of linear electric nacelle actuation system." In 2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM). IEEE, 2013. http://dx.doi.org/10.1109/selm.2013.6562958.

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Teriaiev, Vitalii, Anton Dovbyk, Vladislav Kornienko, Mykola Pechenik, and Sergey Buryan. "Generalized Mathematical Model of a Linear Induction Motor." In 2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO). IEEE, 2022. http://dx.doi.org/10.1109/elnano54667.2022.9927095.

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Schieber, Jay D., Renat N. Khaliullin, Albert Co, Gary L. Leal, Ralph H. Colby, and A. Jeffrey Giacomin. "Unified Mathematical Model for Linear Viscoelastic Predictions of Linear and Branched Polymers." In THE XV INTERNATIONAL CONGRESS ON RHEOLOGY: The Society of Rheology 80th Annual Meeting. AIP, 2008. http://dx.doi.org/10.1063/1.2964683.

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Ramli, Rozita, and Jeyaraj Vadiveloo. "Generalized linear model approach to adjusting expected assumptions." In 5TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES (ICMS5). AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0229587.

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Reports on the topic "Linear mathematical model"

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Lovianova, Iryna V., Dmytro Ye Bobyliev, and Aleksandr D. Uchitel. Cloud calculations within the optional course Optimization Problems for 10th-11th graders. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3267.

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The article deals with the problem of introducing cloud calculations into 10th-11th graders’ training to solve optimization problems in the context of the STEM-education concept. After analyzing existing programmes of optional courses on optimization problems, the programme of the optional course Optimization Problems has been developed and substantiated implying solution of problems by the cloud environment CoCalc. It is a routine calculating operation and not a mathematical model that is accentuated in the programme. It allows considering more problems which are close to reality without adap
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Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo, and Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2648.

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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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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Elias Ioup, et al. KANICE : Kolmogorov-Arnold networks with interactive convolutional elements. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49791.

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We introduce KANICE, a novel neural architecture that combines Convolutional Neural Networks (CNNs) with Kolmogorov-Arnold Network (KAN) principles. KANICE integrates Interactive Convolutional Blocks (ICBs) and KAN linear layers into a CNN framework. This leverages KANs’ universal approximation capabilities and ICBs’ adaptive feature learning. KANICE captures complex, non-linear data relationships while enabling dynamic, context-dependent feature extraction based on the Kolmogorov-Arnold representation theorem. We evaluated KANICE on four datasets: MNIST, Fashion-MNIST, EMNIST, and SVHN, compa
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Jääskeläinen, Emmihenna. Construction of reliable albedo time series. Finnish Meteorological Institute, 2023. http://dx.doi.org/10.35614/isbn.9789523361782.

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A reliable satellite-based black-sky albedo time series is a crucial part of detecting changes in the climate. This thesis studies the solutions to several uncertainties impairing the quality of the black-sky albedo time series. These solutions include creating a long dynamic aerosol optical depth time series for enhancing the removal of atmospheric effects, a method to fill missing data to improve spatial and temporal coverage, and creating a function to correctly model the diurnal variation of melting snow albedo. Mathematical methods are the center pieces of the solutions found in this thes
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Levi, Mark. Mathematical Models of Non-Linear Mechanical and Electrical Systems and Their Qualitative Behavior. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada248847.

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Trefethen, L. N. Linear non-modal phenomena in numerical analysis and applied mathematics. First annual performance report, February 15, 1994--November 15, 1994. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10114048.

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Song, Frank, and Narasi Sridhar. DTRS56-04-T-0002 Determining Reassessment Intervals Through Corrosion. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0011958.

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The objectives of this program are to develop methods based on sound fundamental principles to estimate: (1) external corrosion rates, especially in CP shielded areas, and (2) internal corrosion rates by considering pipeline-relevant factors for gas and liquid lines. Mathematical models will be developed to achieve the above goal. The models will be compared with field and laboratory data for validity and the models will be simplified to a format that is applicable to pipeline operators to estimate pipeline external or/and internal corrosion rate. It is recognized that the development of funda
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Zhu, Minjie, and Michael Scott. Fluid-Structure Interaction and Python-Scripting Capabilities in OpenSees. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/vdix3057.

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Building upon recent advances in OpenSees, the goals of this project are to expand the framework’s Python scripting capabilities and to further develop its fluid–structure interaction (FSI) simulation capabilities, which are based on the particle finite-element method (PFEM). At its inception, the FSI modules in OpenSees were based on Python scripting. To accomplish FSI simulations in OpenSees, Python commands have been added for a limited number of pre-existing element and material commands, e.g., linear-elastic triangle elements and beam–column elements with Concrete01/Steel01 fiber sections
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Hopper. L30500 Analysis of the Effects of High-Voltage Direct-Current Transmission Systems on Buried Pipelines. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0010196.

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The economics of high voltage direct current for long-distance transmission of electrical energy have been reported as very attractive, to the extent that several projects are in the making. Several reasons other than the savings in transmission costs, for example the exchange of peak power between time zones and seasonal zones, would permit utilities to save on plant investment for generating capacity while maintaining a high level of service. This report summarizes work on the initial phase of a study to determine the effects of high-voltage direct-current (H.V.D.C.) electric transmission li
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ANALYSIS OF TRANSIENT STRUCTURAL RESPONSES OF STEEL FRAMES WITH NONSYMMETRIC SECTIONS UNDER EARTHQUAKE MOTION. The Hong Kong Institute of Steel Construction, 2022. http://dx.doi.org/10.18057/icass2020.p.347.

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An accurate structural analysis is a fundamental requirement for modern design. Nevertheless, this is often difficult for systems comprised of nonsymmetric members, primarily because of their complicated cross-section shapes with non-coincidence of shear center and centroid and complex buckling modes. Recent research using efficient line-finite-element formulations has made significant progress in simulating the buckling behavior of arbitrary open-section members for static loads. This paper extends this method by providing for second-order dynamic analysis of nonsymmetric sectional members. T
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