Relevant bibliographies by topics / Discrete approach

Contents

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

Academic literature on the topic 'Discrete approach'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Discrete approach"

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Khosiyono, Banun Havifah cahyo. "DISCRETE AND INTEGRATED APPROACH AND THE IMPLICATIONS ON LANGUAGE TEACHING LEARNING MANAGEMENT." Prominent 4, no. 1 (2021): 19–29. http://dx.doi.org/10.24176/pro.v4i1.5755.

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This paper describes discrete and integrated approach and the implication on language teaching learning management. Discrete approach emphasizes on the teaching and learning a language discretely, whereas integrated approach emphasizes on the whole language, namely speaking, writing, listening, reading, pronunciation, grammar, and vocabulary. In fact, both are interrelated since discrete learning is the basis for integrated learning. Both should be implemented in the teaching learning process in the classroom so that students are able to use the language well. Therefore, the curriculum or the
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Dias-da-Costa, D., J. Alfaiate, L. J. Sluys, and E. Júlio. "A discrete strong discontinuity approach." Engineering Fracture Mechanics 76, no. 9 (2009): 1176–201. http://dx.doi.org/10.1016/j.engfracmech.2009.01.011.

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Djadja, M., A. Naamane, and N. Giambiasi. "Approach for discrete event simulation." Electronics Letters 34, no. 16 (1998): 1615. http://dx.doi.org/10.1049/el:19981112.

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Kantelhardt, Jan W., H. Eduardo Roman, and Martin Greiner. "Discrete wavelet approach to multifractality." Physica A: Statistical Mechanics and its Applications 220, no. 3-4 (1995): 219–38. http://dx.doi.org/10.1016/0378-4371(95)00267-b.

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do Nascimento, Roberto Quirino, Ana Flávia Uzeda dos Santos Macambira, Lucidio dos Anjos Formiga Cabral, and Renan Vicente Pinto. "The discrete ellipsoid covering problem: A discrete geometric programming approach." Discrete Applied Mathematics 164 (February 2014): 276–85. http://dx.doi.org/10.1016/j.dam.2012.10.016.

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LIU, WEI YI, JIN LI, KUN YUE, NING SONG, and HONG YAO. "AN APPROACH FOR SOLVING FUZZY GAMES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 03 (2006): 277–92. http://dx.doi.org/10.1142/s0218488506004011.

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This paper is to compute a Nash equilibrium in a fuzzy environment, which is represented by a fuzzy approximate Nash equilibrium in a space of discrete mixed strategies. For discrete mixed strategies, the relationship between the discrete degree and the approximate degree is discussed. Based on the fuzzy regret degree, a genetic algorithm for computing a fuzzy Nash equilibrium is given.
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Stefanov, Stefan M. "On the Application of Iterative Methods of Nondifferentiable Optimization to Some Problems of Approximation Theory." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/165701.

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We consider the data fitting problem, that is, the problem of approximating a function of several variables, given by tabulated data, and the corresponding problem for inconsistent (overdetermined) systems of linear algebraic equations. Such problems, connected with measurement of physical quantities, arise, for example, in physics, engineering, and so forth. A traditional approach for solving these two problems is the discrete least squares data fitting method, which is based on discretel2-norm. In this paper, an alternative approach is proposed: with each of these problems, we associate a no
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Zhukovskiy, V., and L. Smirnova. "UNCERTAINTY AND DISCRETE MAXIMIN." TAURIDA JOURNAL OF COMPUTER SCIENCE THEORY AND MATHEMATICS, no. 1 (November 25, 2022): 7–31. http://dx.doi.org/10.29039/1729-3901-2021-20-1-7-31.

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The article consists of two parts. The first part is devoted to general questions that are related to uncertainty: causes and sources of uncertainties appearance, classification of uncertainties in economic systems and approach to their assessment. In the second part the concept of maximin, based on the principle of guaranteed result (Wald’s principle) is considered. In this case, maximin is interpreted from viewpoint of two-level hierarchical game. On the basis of the maximin concept, a guaranteed solution in outcomes for K-stage positional single-criterion linear quadratic problem under uncert
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Patra, Rashmirekha, and Nihar Ranjan Satapathy. "Novel finite difference approach to discretize the symplectic dirac operator." Annals of Mathematics and Computer Science 18 (October 1, 2023): 90–103. http://dx.doi.org/10.56947/amcs.v18.211.

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Symplectic Dirac operator is an intertwining differential operator. Discretising symplectic Dirac operator gives a new direction to study the quantum space. The construction of discrete symplectic Dirac operator requires the theory of discrete symplectic Clifford analysis or the concept of discrete symplectic connections, which are not explained in literature. In this work, a discretization approach for symplectic Dirac operator is suggested by considering the forward and backward basis vectors on symplectic Clifford algebra. The suggested discrete symplectic Dirac operator is Ds=Ds++Ds- where
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Blachowski, Bartlomiej, and Witold Gutkowski. "A hybrid continuous-discrete approach to large discrete structural optimization problems." Structural and Multidisciplinary Optimization 41, no. 6 (2009): 965–77. http://dx.doi.org/10.1007/s00158-009-0466-1.

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Dissertations / Theses on the topic "Discrete approach"

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Graham, Justin W. "School choice : a discrete optimization approach." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127294.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, May, 2020<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 32-34).<br>An equitable and flexible mechanism for assigning students to schools is a major concern for many school districts. The school a student attends dramatically impacts the quality of education, access to resources, family and neighborhood cohesion, and transportation costs. Facing this intricate optimization problem, school districts often utilize to stable-matching techniques which
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Villa, Cristiano. "An objective Bayesian approach for discrete scenarios." Thesis, University of Kent, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633699.

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Objective prior distributions represent a fundamental part of Bayesian inference. Although several approaches for continuous parameter spaces have been developed, Bayesian theory lacks of a general method that allows to obtain priors for the discrete case. In the present work we propose a novel idea, based on losses, to derive objective priors for discrete parameter spaces. We objectively measure the worth of each parameter values, and link it to the prior probability by means of the self information loss function. The worth is measured by taking into consideration the surroundings of each ele
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Pillay, Samara. "Modelling angiogenesis : a discrete to continuum approach." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:a6f3f5a2-5f47-480d-8500-e560d46d9157.

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Angiogenesis is the process by which new blood vessels develop from existing vessels. Angiogenesis is important in a number of conditions such as embryogenesis, wound healing and cancer. It has been modelled phenomenologically at the macroscale, using the well-known 'snail-trail' approach in which trailing endothelial cells follow the paths of other, leading endothelial cells. In this thesis, we systematically determine the collective behaviour of endothelial cells from their behaviour at the cell-level during corneal angiogenesis. We formulate an agent-based model, based on the snail-trail pr
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Simpson, Andrew E. "A Discrete Model Approach to Biofilm Growth." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1342790784.

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Logue, James K. "The discrete, orthogonal wavelet transform, a projective approach." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304330.

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Ren, Mingming. "An incremental approach for hardware discrete controller synthesis." Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00679296.

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The Discrete Controller Synthesis (DCS) technique is used for automatic generation of correct-by-construction hardware controllers. For a given plant (a state-based model), and an associated control specification (a behavioral requirement), DCS generates a controller which, composed with the plant, guarantees the satisfaction of the specification. The DCS technique used relies on binary decision diagrams (BDDs). The controllers generated must be compliant with standard RTL hardware synthesis tools. Two main issues have been investigated: the combinational explosion, and the actual generation o
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Ahlbach, Connor Thomas. "A Discrete Approach to the Poincare-Miranda Theorem." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/hmc_theses/47.

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The Poincare-Miranda Theorem is a topological result about the existence of a zero of a function under particular boundary conditions. In this thesis, we explore proofs of the Poincare-Miranda Theorem that are discrete in nature - that is, they prove a continuous result using an intermediate lemma about discrete objects. We explain a proof by Tkacz and Turzanski that proves the Poincare-Miranda theorem via the Steinhaus Chessboard Theorem, involving colorings of partitions of n-dimensional cubes. Then, we develop a new proof of the Poincare-Miranda Theorem that relies on a polytopal generaliza
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Liu, Xuecheng 1963. "Nonparametric estimation with censored data : a discrete approach." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85570.

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This dissertation principally addresses nonparametric maximal likelihood (NPML) estimation of the cumulative distribution function (CDF) given multivariate (arbitrarily) censored data (herein abbreviated MCD).<br>The CDF nonparametric maximal likelihood estimate (NPMLE) given MCD has support on the union of all maximal intersections of the data. The CDF NPMLE can be computed numerically using the clique matrix of the intersection graph of the data; these NPMLEs can be nonunique in both a representational and a mixture sense (see Peto 1973, Turnbull 1976, Gentleman & Vandal 2001 and Gentl
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Sze, Chuen-kan, and 施泉根. "On framelets and their applications: a discrete approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29803937.

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CARVALHO, LUCIANA CRUZ ALVES DE. "A DISCRETE TIME APPROACH OF REAL OPTIONS THEORY." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7829@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Os métodos tradicionais de avaliação de projetos vem sendo questionados por não considerarem possíveis incertezas associadas ao investimento. Neste contexto, a Teoria das Opções Reais busca aplicar o conceito de opções a ativos reais, com a finalidade de agregar o valor da flexibilidade gerencial aos métodos tradicionais de avaliação de investimentos. A avaliação por Opções Reais é considerada complexa devido à difícil modelagem de incertezas e das flexibilidades, além da necessidade de se ter mercados completos. Este estudo busca in
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Books on the topic "Discrete approach"

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Acharjya, D. P. Fundamental approach to discrete mathematics. 2nd ed. New Age International (P) Ltd., Publishers, 2009.

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Acharjya, D. P. Fundamental Approach to Discrete Mathematics. New Age International Pvt. Ltd., Publishers, 2005.

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Wiitala, Stephen A. Discrete mathematics: A unified approach. McGraw Hill, 1987.

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Y, Liu Regina, ed. Asset pricing: Discrete time approach. Kluwer Academic Publishers, 2003.

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Gries, David, and Fred B. Schneider. A Logical Approach to Discrete Math. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4757-3837-7.

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Pooch, Udo W. Discrete event simulation: A practical approach. CRC Press, 1993.

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B, Schneider Fred, ed. A logical approach to discrete math. Springer-Verlag, 1993.

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David, Gries. A logical approach to discrete math. 3rd ed. Springer-Verlag, 1995.

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Rice, Michael. Digital communications: A discrete-time approach. Prentice Hall, 2009.

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Rice, Michael. Digital communications: A discrete-time approach. Pearson/Prentice Hall, 2009.

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Book chapters on the topic "Discrete approach"

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Borre, Kai. "Discrete Approach." In Plane Networks and their Applications. Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0165-6_2.

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Tasgetiren, Fatih, Yun-Chia Liang, Quan-Ke Pan, and Ponnuthurai Suganthan. "Discrete/Binary Approach." In Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92151-6_6.

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Khrennikov, Andrei. "Discrete Time Dynamics." In Contextual Approach to Quantum Formalism. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9593-1_12.

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Guex, Jean, Federico Galster, and Øyvind Hammer. "Graph Theoretical Approach." In Discrete Biochronological Time Scales. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21326-2_2.

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Lomax, H., Thomas H. Pulliam, and David W. Zingg. "The Semi-Discrete Approach." In Fundamentals of Computational Fluid Dynamics. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04654-8_4.

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Sundararajan, D. "The Discrete Fourier Transform." In Fourier Analysis—A Signal Processing Approach. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1693-7_2.

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Sundararajan, D. "The Discrete Fourier Transform." In Fourier Analysis—A Signal Processing Approach. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-96-1078-5_2.

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Osyczka, Andrzej, and Jerzy Montusiewicz. "A Random-Search Approach to Multicriterion Discrete Optimization." In Discrete Structural Optimization. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85095-0_8.

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Mockus, Jonas, William Eddy, Audris Mockus, Linas Mockus, and Gintaras Reklaitis. "Bayesian Approach to Discrete Optimization." In Nonconvex Optimization and Its Applications. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2627-5_11.

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Latecki, Longin Jan, and Rolf Lakämper. "Discrete Approach to Curve Evolution." In Mustererkennung 1998. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72282-0_7.

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Conference papers on the topic "Discrete approach"

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Jiang, Xinran, Daiwei Li, Haiqing Zhang, Ying Zhou, Jialing Liu, and Xiaoming Xiang. "Weighted Strategy Optimization Approach for Discrete Sequence Generation." In 2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM). IEEE, 2024. https://doi.org/10.1109/aiim64537.2024.10934534.

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Isaacson, Susana I., Susana C. Gabbanelli, and Jorge R. Busch. "Discrete wavelet approach to multifractality." In International Symposium on Optical Science and Technology, edited by Akram Aldroubi, Andrew F. Laine, and Michael A. Unser. SPIE, 2000. http://dx.doi.org/10.1117/12.408593.

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Trautner, Andreas. "Anatomy of a top-down approach to discrete and modular flavor symmetry." In 7th Symposium on Prospects in the Physics of Discrete Symmetries, DISCRETE 2020-2021. Sissa Medialab, 2022. http://dx.doi.org/10.22323/1.405.0074.

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Fang, Woon Siew, Sharmila Karim, and Mohd Saiful Adli Mohamad. "A variational discrete filled function approach in discrete global optimization." In INNOVATION AND ANALYTICS CONFERENCE AND EXHIBITION (IACE 2015): Proceedings of the 2nd Innovation and Analytics Conference & Exhibition. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4937077.

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Drakunov, S., and R. DeCarlo. "Discrete-time/discrete-event sliding mode design via Lyapunov approach." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.610878.

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Seleznev, Igor, Evgeniy Konopatskiy, Olga Voronova, Oksana Shevchuk, and Andrey Bezditnyi. "An Approach to Comparing Multidimensional Geometric Objects." In 31th International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/graphicon-2021-3027-682-688.

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The paper proposes an approach to the comparison of multidimensional geometric objects, which is used to assess the variational geometric models of multifactor processes and phenomena obtained using the geometric theory of multidimensional interpolation. The proposed approach consists of two stages, the first of which consists in the discretization of multidimensional geometric objects in the form of a set of discretely given points, and the second is in comparing the obtained discrete point sets using a criterion that is essentially similar to the coefficient of determination. In this case, o
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Roy, Ankur, and Sivaji Lahiri. "Quantifying Connectivity of Fracture Networks: A Lacunarity Approach." In 3rd International Discrete Fracture Network Engineering Conference. ARMA, 2022. http://dx.doi.org/10.56952/arma-dfne-22-0049.

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Abstract Connectivity estimated by simply considering the relative number of nodes in fracture networks, i.e., cross-cutting (X), abutting (Y), and isolated (I), without regard to their spatial distributions, is often not a unique identifier of fracture geometry. This research proposes a modified, lacunarity based estimate of connectivity which considers both the spatial distribution of such nodes in a network and also their abundance. We compare three pairs of natural fracture maps from different sources, each pair with the same connectivity but very different visual appearances. A study of t
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Chmaj, Grzegorz, and Dawid Zydek. "Software Development Approach for Discrete Simulators." In 2011 21st International Conference on Systems Engineering (ICSEng). IEEE, 2011. http://dx.doi.org/10.1109/icseng.2011.56.

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Prüll, Alexander. "Hole burning: A discrete kinetic approach." In RAREFIED GAS DYNAMICS: 22nd International Symposium. AIP, 2001. http://dx.doi.org/10.1063/1.1407543.

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Bombelli, L. "A combinatorial approach to discrete geometry." In A CENTURY OF RELATIVITY PHYSICS: ERE 2005; XXVIII Spanish Relativity Meeting. AIP, 2006. http://dx.doi.org/10.1063/1.2218222.

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Reports on the topic "Discrete approach"

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Dershowitz, William S., and Trenton Cladouhos. Discrete Feature Approach for Heterogeneous Reservoir Production Enhancement. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/785909.

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Dershowitz, William S., Brendan Curran, Herbert Einstein, Paul LaPointe, Dawn Shuttle, and Kate Klise. Discrete Feature Approach for Heterogeneous Reservoir Production Enhancement. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/797644.

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Adda, Jerome, and Russell Cooper. The Dynamics of Car Sales: A Discrete Choice Approach. National Bureau of Economic Research, 2000. http://dx.doi.org/10.3386/w7785.

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Nechyba, Thomas, and Robert Strauss. Community Choice and Local Public Services: A Discrete Choice Approach. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w5966.

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Hitt, Darren L., and Walter J. Varhue. DEPSCOR06: A Dispersed Monopropellant Microslug Approach for Discrete Satellite Micropropulsion. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada564650.

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Mersch, John, Paul Miles, Deborah Fowler, Christopher Laursen, and Brian Fuchs. Uncertainty Quantification for Component Modeling Using the Discrete-Direct Approach. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2430390.

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Riesenfeld, Richard F., and Elaine Cohen. Discrete B-Splines as an Approach to Computer Aided Geometric Design. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161445.

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Etherington, David W., David Joslin, and George L. Nemhauser. Search Strategies in Large-Scale Discrete Optimization: A Joint AI/OR Approach. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada341379.

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Sadoune, Igor, Marcelin Joanis, and Andrea Lodi. Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. CIRANO, 2023. http://dx.doi.org/10.54932/lqog8430.

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We present a deep learning solution to address the challenges of simulating realistic synthetic first-price sealed-bid auction data. The complexities encountered in this type of auction data include high-cardinality discrete feature spaces and a multilevel structure arising from multiple bids associated with a single auction instance. Our methodology combines deep generative modeling (DGM) with an artificial learner that predicts the conditional bid distribution based on auction characteristics, contributing to advancements in simulation-based research. This approach lays the groundwork for cr
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Eslami, Keyvan, and Thomas M. Phelan. The Art of Temporal Approximation: An Investigation into Numerical Solutions to Discrete and Continuous-Time Problems in Economics. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202310.

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A recent literature within quantitative macroeconomics has advocated the use of continuous-time methods for dynamic programming problems. In this paper we explore the relative merits of continuous-time and discrete-time methods within the context of stationary and nonstationary income fluctuation problems. For stationary problems in two dimensions, the continuous-time approach is both more stable and typically faster than the discrete-time approach for any given level of accuracy. In contrast, for convex lifecycle problems (in which age or time enters explicitly), simply iterating backwards fr
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