Relevant bibliographies by topics / Forward approximation

Contents

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

Academic literature on the topic 'Forward approximation'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Forward approximation"

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Hao, Qi, and Alexey Stovas. "Analytic calculation of phase and group velocities of P-waves in orthorhombic media." GEOPHYSICS 81, no. 3 (2016): C79—C97. http://dx.doi.org/10.1190/geo2015-0156.1.

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We have developed an approximate method to calculate the P-wave phase and group velocities for orthorhombic media. Two forms of analytic approximations for P-wave velocities in orthorhombic media were built by analogy with the five-parameter moveout approximation and the four-parameter velocity approximation for transversely isotropic media, respectively. They are called the generalized moveout approximation (GMA)-type approximation and the Fomel approximation, respectively. We have developed approximations for elastic and acoustic orthorhombic media. We have characterized the elastic orthorho
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Nguyen, Thi Ngoc Minh, Sylvain Le Corff, and Eric Moulines. "On the two-filter approximations of marginal smoothing distributions in general state-space models." Advances in Applied Probability 50, no. 01 (2018): 154–77. http://dx.doi.org/10.1017/apr.2018.8.

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AbstractA prevalent problem in general state-space models is the approximation of the smoothing distribution of a state conditional on the observations from the past, the present, and the future. The aim of this paper is to provide a rigorous analysis of such approximations of smoothed distributions provided by the two-filter algorithms. We extend the results available for the approximation of smoothing distributions to these two-filter approaches which combine a forward filter approximating the filtering distributions with a backward information filter approximating a quantity proportional to
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He, Chuanlin, Yi Zheng, Xu Xiang, and Yuanliang Ma. "Kirchhoff Approximations for the Forward-Scattering Target Strength of Underwater Objects." Journal of Theoretical and Computational Acoustics 28, no. 01 (2019): 1950008. http://dx.doi.org/10.1142/s2591728519500087.

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Kirchhoff approximations for the forward-scattering target strength of underwater objects are developed by combining Babinet’s principle and the Kirchhoff integral, where theoretical formulations and a numerical implementation are given in detail. The Kirchhoff approximation is found to be a high-frequency physical acoustic approximation. The forward-scattering target strength versus frequency and the spatial angles for spherical objects, prolate spheroids and the Benchmark Target Strength Simulation Submarine (BeTSSi-Sub) model are obtained by the Kirchhoff approximation and compared with res
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Cheng, Yi. "Forward approximation and backward approximation in fuzzy rough sets." Neurocomputing 148 (January 2015): 340–53. http://dx.doi.org/10.1016/j.neucom.2014.06.062.

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Kratsios, Anastasis. "The Universal Approximation Property." Annals of Mathematics and Artificial Intelligence 89, no. 5-6 (2021): 435–69. http://dx.doi.org/10.1007/s10472-020-09723-1.

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AbstractThe universal approximation property of various machine learning models is currently only understood on a case-by-case basis, limiting the rapid development of new theoretically justified neural network architectures and blurring our understanding of our current models’ potential. This paper works towards overcoming these challenges by presenting a characterization, a representation, a construction method, and an existence result, each of which applies to any universal approximator on most function spaces of practical interest. Our characterization result is used to describe which acti
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Paronetto, Fabio. "Elliptic approximation of forward-backward parabolic equations." Communications on Pure & Applied Analysis 19, no. 2 (2020): 1017–36. http://dx.doi.org/10.3934/cpaa.2020047.

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Momoniat, E. "Matrix Exponentiation and the Frank-Kamenetskii Equation." Mathematical Problems in Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/713798.

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Long time solutions to the Frank-Kamenetskii partial differential equation modelling a thermal explosion in a vessel are obtained using matrix exponentiation. Spatial derivatives are approximated by high-order finite difference approximations. A forward difference approximation to the time derivative leads to a Lawson-Euler scheme. Computations performed with a BDF approximation to the time derivative and a fourth-order Runge-Kutta approximation to the time derivative are compared to results obtained with the Lawson-Euler scheme. Variation in the central temperature of the vessel corresponding
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Jetta, Mahipal. "A highly stable explicit scheme for a fourth-order nonlinear diffusion filter." International Journal of Modeling, Simulation, and Scientific Computing 11, no. 04 (2020): 2050030. http://dx.doi.org/10.1142/s1793962320500300.

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The standard finite difference scheme (forward difference approximation for time derivative and central difference approximations for spatial derivatives) for fourth-order nonlinear diffusion filter allows very small time-step size to obtain stable results. The alternating directional implicit (ADI) splitting scheme such as Douglas method is highly stable but compromises accuracy for a relatively larger time-step size. In this paper, we develop [Formula: see text] stencils for the approximation of second-order spatial derivatives based on the finite pointset method. We then make use of these s
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Lakshmanan, Valliappa, Robert Rabin, Jason Otkin, John S. Kain, and Scott Dembek. "Visualizing Model Data Using a Fast Approximation of a Radiative Transfer Model." Journal of Atmospheric and Oceanic Technology 29, no. 5 (2012): 745–54. http://dx.doi.org/10.1175/jtech-d-11-00007.1.

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Abstract Visualizing model forecasts using simulated satellite imagery has proven very useful because the depiction of forecasts using cloud imagery can provide inferences about meteorological scenarios and physical processes that are not characterized well by depictions of those forecasts using radar reflectivity. A forward radiative transfer model is capable of providing such a visible-channel depiction of numerical weather prediction model output, but present-day forward models are too slow to run routinely on operational model forecasts. It is demonstrated that it is possible to approximat
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Allen, K. Radway, and W. S. Hearn. "Some Procedures for use in Cohort Analysis and Other Population Simulations." Canadian Journal of Fisheries and Aquatic Sciences 46, no. 3 (1989): 483–88. http://dx.doi.org/10.1139/f89-064.

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The catch equation [Formula: see text] must often be solved either forwards or backwards. Because Ft is an implicit function of catch, population size, and M, the solution must be either iterative or approximate. In this paper an improved approximation to Nt+1 is developed of the form[Formula: see text]for the forward solution and a corresponding equation for backward solution. Appropriate values of A are presented for a range of combinations of M and F; and A = 0.585 gives approximations to Nt+1 with an error of less than 1% provided that (Ft + M) is less than about 1.5. Much closer approxima
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Dissertations / Theses on the topic "Forward approximation"

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Garcia, Andrew Michael. "Feed-Forward Air-Fuel Ratio Control during Transient Operation of an Alternative Fueled Engine." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366034780.

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Bourgey, Florian. "Stochastic approximations for financial risk computations." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX052.

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Dans cette thèse, nous examinons plusieurs méthodes d'approximations stochastiques à la fois pour le calcul de mesures de risques financiers et pour le pricing de produits dérivés.Comme les formules explicites sont rarement disponibles pour de telles quantités, le besoin d'approximations analytiques rapides,efficaces et fiables est d'une importance capitale pour les institutions financières.Nous visons ainsi à donner un large aperçu de ces méthodes d'approximation et nous nous concentrons sur trois approches distinctes.Dans la première partie, nous étudions plusieurs méthodes d'approximation M
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Carcuz, Jerez Juan Ramon de Jesus. "An AVO method toward direct detection of lithologies combining P-P and P-S reflection data." Texas A&M University, 2003. http://hdl.handle.net/1969/38.

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Brideson, Michael. "Electromagnetic induction tomography : a feasibility study." Thesis, Queensland University of Technology, 2000.

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Manai, Arij. "Some contributions to backward stochastic differential equations and applications." Thesis, Le Mans, 2019. http://www.theses.fr/2019LEMA1022.

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Cette thèse est consacrée à l'étude des équations différentielles stochastiques rétrogrades (EDSR) et leurs applications. Dans le chapitre 1, on étudie le problème de maximisation de l'utilité de la richesse terminale où le prix de l'actif peut être discontinue sous des contraintes sur les stratégies de l'agent. Nous nous concentrons sur l'EDSR dont la solution représente l'utilité maximale, ce qui permet de transférer des résultats sur les EDSR quadratiques, en particulier les résultats de stabilité, au problème de maximisation d'utilité. Dans le chapitre 2, nous considèrons le problème de va
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Ould, Aly Sidi Mohamed. "Modélisation de la courbe de variance et modèles à volatilité stochastique." Phd thesis, Université Paris-Est, 2011. http://tel.archives-ouvertes.fr/tel-00604530.

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La première partie de cette thèse est consacrée aux problématiques liées à la modélisation markovienne de la courbe de variance forward. Elle est divisée en 3 chapitres. Dans le premier chapitre, nous présentons le cadre général de la modélisation de type HJM-Markov pour la courbe de variance forward. Nous revisitons le cadre affine-markovien modélisation et nous l'illustrons par l'exemple du modèle de Bühler. Dans le deuxième chapitre, nous proposons un nouveau modèle pour la courbe de variance forward qui combine les caractéristiques des deux versions (continue et discrète) du modèle de Berg
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Ren, Huiying. "Experimental Studies of Turbulent Boundary Layers Over a Rough Forward-facing Step and its Coarse Scale Resolution Approximations." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1292449621.

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Iben, Taarit Marouan. "Valorisation des ajustements Xva : de l’exposition espérée aux risques adverses de corrélation." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1059/document.

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Nous entamons ce rapport de thèse par l’évaluation de l’espérance espérée qui représente une des composantes majeures des ajustements XVA. Sous l’hypothèse d’indépendance entre l’exposition et les coûts de financement et de crédit, nous dérivons dans le chapitre 3 une représentation nouvelle de l’exposition espérée comme la solution d’une équation différentielle ordinaire par rapport au temps d’observation du défaut. Nous nous basons, pour le cas unidimensionnel, sur des arguments similaires à ceux de la volatilité locale de Dupire. Et pour le cas multidimensionnel, nous nous référons à la for
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Romero, Merino Enrique. "Learning with Feed-forward Neural Networks: Three Schemes to Deal with the Bias/Variance Trade-off." Doctoral thesis, Universitat Politècnica de Catalunya, 2004. http://hdl.handle.net/10803/6644.

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In terms of the Bias/Variance decomposition, very flexible (i.e., complex) Supervised Machine Learning systems may lead to unbiased estimators but with high variance. A rigid model, in contrast, may lead to small variance but high bias. There is a trade-off between the bias and variance contributions to the error, where the optimal performance is achieved.<br/><br/>In this work we present three schemes related to the control of the Bias/Variance decomposition for Feed-forward Neural Networks (FNNs) with the (sometimes modified) quadratic loss function:<br/><br/>1. An algorithm for sequential a
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Duan, Junbo. "Restauration et séparation de signaux polynômiaux par morceaux. Application à la microscopie de force atomique." Thesis, Nancy 1, 2010. http://www.theses.fr/2010NAN10082/document.

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Cette thèse s'inscrit dans le domaine des problèmes inverses en traitement du signal. Elle est consacrée à la conception d'algorithmes de restauration et de séparation de signaux parcimonieux et à leur application à l'approximation de courbes de forces en microscopie de force atomique (AFM), où la notion de parcimonie est liée au nombre de points de discontinuité dans le signal (sauts, changements de pente, changements de courbure). Du point de vue méthodologique, des algorithmes sous-optimaux sont proposés pour le problème de l'approximation parcimonieuse basée sur la pseudo-norme l0 : l'algo
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Books on the topic "Forward approximation"

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Biolley, Serge de. Approximation of substantive criminal law in the EU: The way forward. Editions de l'Université de Bruxelles, 2013.

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S, Subramanian, Chunduru Srinivas, and United States. National Aeronautics and Space Administration., eds. Sensitivity of lag-damping correlations to structural and aerodynamic approximations of isolated experimental rotors in forward flight: Interim technical report under NASA-Ames Research grant no. NAG-2-797 (August 1, 1992 - December 21, 1993). Florida Atlantic University, Dept. of Mechanical Engineering, College of Engineering, 1994.

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GALLI/WEYEMBERG. Approximation of substantive criminal law in the EU the way forward. UNIV BRUXELLES, 2013.

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Epstein, Richard A. The Basic Structure of Intellectual Property Law. Edited by Rochelle Dreyfuss and Justine Pila. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758457.013.7.

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This chapter puts forward a comprehensive framework for evaluating property regimes for both physical and intellectual property resources. It starts with an account of the trade-off between common and private property regimes, noting that the former is appropriate, as a first approximation for resources that facilitate communication and transportation, where holdout problems dominate externality constraints. But where high levels of investment are needed, and coordination problems are low, private property, as bounded by laws of trespass, nuisance and infringement now tend to dominate. There a
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National Aeronautics and Space Administration (NASA) Staff. Sensitivity of Lag-Damping Correlations to Structural and Aerodynamic Approximations of Isolated Experimental Rotors in Forward Flight. Independently Published, 2018.

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Book chapters on the topic "Forward approximation"

1

Furutsu, Koichi. "Forward Scattering Approximation." In Springer Series on Wave Phenomena. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84807-0_7.

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Chassagneux, Jean-François, Hinesh Chotai, and Mirabelle Muûls. "Numerical Approximation of FBSDEs." In A Forward-Backward SDEs Approach to Pricing in Carbon Markets. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63115-8_4.

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Anastassiou, George A., and Razvan A. Mezei. "Reverse and Forward Fractional Integral Inequalities." In Advances in Applied Mathematics and Approximation Theory. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6393-1_29.

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Chung, In-Hwan, Tim Dun, and Erik Schlögl. "Lognormal Forward Market Model (LFM) Volatility Function Approximation." In Contemporary Quantitative Finance. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03479-4_19.

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Wen, Yunqing, Guoqiang Li, and Shoji Yuen. "An Over-Approximation Forward Analysis for Nested Timed Automata." In Structured Object-Oriented Formal Language and Method. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17404-4_5.

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Gaya, Muhammad Sani, Norhaliza Abdul Wahab, Yahya Md Sam, and Sharatul Izah Samsuddin. "Feed-Forward Neural Network Approximation Applied to Activated Sludge System." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45037-2_63.

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Zhou, Zhenghua, and Jianwei Zhao. "Approximation of Curves Contained on the Surface by Freed-Forward Neural Networks." In Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23896-3_34.

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Zhang, Weixiong. "Forward Pruning for Approximation and Flexible Computation, Part II: Multiagent Game Playing." In State-Space Search. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1538-7_9.

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Lima, P. M., M. F. Teodoro, N. J. Ford, and P. M. Lumb. "Analysis and Computational Approximation of a Forward–Backward Equation Arising in Nerve Conduction." In Differential and Difference Equations with Applications. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7333-6_42.

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Zhang, Weixiong. "Forward Pruning for Approximation and Flexible Computation, Part I: Single-Agent Combinatorial Optimization." In State-Space Search. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1538-7_8.

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Conference papers on the topic "Forward approximation"

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Dockhorn, Alexander, Tim Tippelt, and Rudolf Kruse. "Model Decomposition for Forward Model Approximation." In 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2018. http://dx.doi.org/10.1109/ssci.2018.8628624.

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Barton, Russell R., Martin Meckesheimer, and Timothy W. Simpson. "Experimental Design Issues for Simultaneous Fitting of Forward and Inverse Metamodels." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14282.

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Abstract In engineering design, approximations to engineering simulation or analysis models can provide quick, approximate predictions of system or part performance as a function of system/part design parameters. There are often preliminary requirements for performance, which can be mapped to specific values of design parameters via an inverse model. Typically, only forward models exist explicitly, but an inverse approximation can be fitted. The quality of an approximation depends on the set of runs (the experiment design) used to fit the approximation. This paper examines experiment design co
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Virmont, Jean, and Guy Ledanois. "Near-Infrared Medical Imaging: Improved Approximations for the Forward and Inverse Problems." In Advances in Optical Imaging and Photon Migration. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/aoipm.1996.ria307.

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We consider imaging of objects hidden in a scattering and absorbing medium, thick enough for the diffusion approximation to be valid, e.g. mammography or brain activity studies. We propose approximate models improving over Born to calculate the image: the electrostatic approximation if the object is small, plus a renormalization transform if it is larger. Using an exact solution of the ‘sphere in slab’ problem for comparison, and a Bayesian simplified inverse code, we demonstrate that these approximations improve the reconstruction.
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Dockhorn, Alexander, and Daan Apeldoorn. "Forward Model Approximation for General Video Game Learning." In 2018 IEEE Conference on Computational Intelligence and Games (CIG). IEEE, 2018. http://dx.doi.org/10.1109/cig.2018.8490411.

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Kim and Adali. "Universal approximation of fully complex feed-forward neural networks." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005904.

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Kim, Taehwan, and Tulay Adali. "Universal approximation of fully complex feed-forward neural networks." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743956.

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Gryazin, Yury A. "High-order approximation compact schemes for forward subsurface scattering problems." In SPIE Defense + Security, edited by Kenneth I. Ranney and Armin Doerry. SPIE, 2014. http://dx.doi.org/10.1117/12.2050189.

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Bandyk, Piotr J., and George S. Hazen. "A Forward-Speed Body-Exact Strip Theory." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41656.

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This paper develops an extension to the body-exact strip theory of Bandyk, Beck, and Zhang [1–8], focused on improved prediction of forward-speed effects. One of the known limitations of standard strip theory is the treatment of forward speed terms. The free surface boundary conditions completely neglect the forward speed, which is usually justified by the argument of high-frequency oscillations. The pressure equation on the body includes a speed-dependent term that must computed, most commonly using the Ogilvie-Tuck theorem or numerical approximations. The strip theory variation described her
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Zhao, Jian-wei, and Fei-long Cao. "Lp Error Estimate of Approximation by a Feed-Forward Neural Network." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.46.

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Wang, Liping, and Kristy Gau. "Automatic Step-Size Procedure in Forward-Difference for Reliability and Design Optimization." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8603.

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Abstract In this paper, an improved automatic step-size procedure in forward-difference approximation for reliability analysis and optimization design is proposed. Traditionally, the step-size is pre-selected and does not change during optimization / reliability design process. This fixed step-size procedure may provide “poor” derivative approximations for highly nonlinear problems or the problems having insufficient digits of the outputs. The proposed method computes the optimum step size for each design variable by minimizing the truncation and condition errors. The condition error is focuse
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Reports on the topic "Forward approximation"

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automati
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