Relevant bibliographies by topics / Inverse linear model

Contents

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

Academic literature on the topic 'Inverse linear model'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Inverse linear model"

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BERNARD, James, and Mark PICKELMANN. "An Inverse Linear Model of a Vehicle." Vehicle System Dynamics 15, no. 4 (1986): 179–86. http://dx.doi.org/10.1080/00423118608968850.

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Zhanatauov, S. U. "INVERSE MODEL OF MULTIPLE LINEAR REGRESSION ANALYSIS." Theoretical & Applied Science 60, no. 04 (2018): 201–12. http://dx.doi.org/10.15863/tas.2018.04.60.38.

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Borneman, Joshua, Kuo-Ping Chen, Alex Kildishev, and Vladimir Shalaev. "Simplified model for periodic nanoantennae: linear model and inverse design." Optics Express 17, no. 14 (2009): 11607. http://dx.doi.org/10.1364/oe.17.011607.

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Ayala, A., M. Loewe, and R. Zamora. "Inverse magnetic catalysis in the linear sigma model." Journal of Physics: Conference Series 720 (May 2016): 012026. http://dx.doi.org/10.1088/1742-6596/720/1/012026.

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Fang, Ximing. "A hybrid regularization model for linear inverse problems." Filomat 36, no. 8 (2022): 2739–48. http://dx.doi.org/10.2298/fil2208739f.

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For the ill-posed linear inverse problem, we propose a hybrid regularization model, which possesses the characters of Tikhonov regularization and TV regularization to some extent. Through transformation, the hybrid regularization is reformulated as an equivalent minimization problem. To solve the minimization problem, we present two modified iterative shrinkage-thresholding algorithms (MISTA) based on the fast iterative shrinkage-thresholding algorithm (FISTA) and the iterative shrinkagethresholding algorithm (ISTA). The numerical experiments are performed to show the effectiveness and superio
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Hansen, Thomas Mejer, Andre G. Journel, Albert Tarantola, and Klaus Mosegaard. "Linear inverse Gaussian theory and geostatistics." GEOPHYSICS 71, no. 6 (2006): R101—R111. http://dx.doi.org/10.1190/1.2345195.

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Inverse problems in geophysics require the introduction of complex a priori information and are solved using computationally expensive Monte Carlo techniques (where large portions of the model space are explored). The geostatistical method allows for fast integration of complex a priori information in the form of covariance functions and training images. We combine geostatistical methods and inverse problem theory to generate realizations of the posterior probability density function of any Gaussian linear inverse problem, honoring a priori information in the form of a covariance function desc
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Cho, Jeong-Mok, Bong-Soo Yoo, and Joong-Seon Joh. "A Fuzzy Skyhook Algorithm Using Piecewise Linear Inverse Model." International Journal of Fuzzy Logic and Intelligent Systems 6, no. 3 (2006): 190–96. http://dx.doi.org/10.5391/ijfis.2006.6.3.190.

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Zhou, Huilin, Tao Ouyang, Yadan Li, Jian Liu, and Qiegen Liu. "Linear-Model-Inspired Neural Network for Electromagnetic Inverse Scattering." IEEE Antennas and Wireless Propagation Letters 19, no. 9 (2020): 1536–40. http://dx.doi.org/10.1109/lawp.2020.3008720.

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Penland, Cécile, and Ludmila Matrosova. "Expected and Actual Errors of Linear Inverse Model Forecasts." Monthly Weather Review 129, no. 7 (2001): 1740–45. http://dx.doi.org/10.1175/1520-0493(2001)129<1740:eaaeol>2.0.co;2.

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Jiang, Wen, Yi Xin Su, and Dan Hong Zhang. "Research on Inverse Control of Active Magnetic Bearing Based on Fuzzy Inverse Model." Applied Mechanics and Materials 575 (June 2014): 744–48. http://dx.doi.org/10.4028/www.scientific.net/amm.575.744.

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For magnetic bearing system with characteristics of zero damping, negative stiffness and nonlinearity, this paper put forward a method of inverse control based on the fuzzy inverse model. The fuzzy system with fuzzifier and defuzzifier was used as an interpolator to approximate the inverse model of magnetic bearing. Then we connected the fuzzy inverse model in series with the magnetic bearing system to form a generalized pseudo linear plant, and selected a PID controller to control the pseudo linear plant. The fuzzy inverse model and the PID controller together formed an inverse controller to
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Dissertations / Theses on the topic "Inverse linear model"

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Somacal, Agustin. "Model reduction for forward simulation and inverse problems : towards non-linear approaches." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS095.

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La réduction de modèle est une technique utilisée pour calculer des approximations rapides et précises des états de systèmes physiques, décrits par des Équations aux Dérivées Partielles (EDP) paramétriques. Dans le cadre classique, un sous-espace linéaire est construit dans une étape offline en utilisant un ensemble de descriptions à haute résolution des états possibles du système d'intérêt. Ensuite, le sous-espace est utilisé pour résoudre rapidement et avec précision des problèmes directes ou inverses. Il est connu que ces stratégies peuvent bien approximer la solution des EDP elliptiques av
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Goudenege, Guillaume. "Développement de modèles d'optimisation de flux en logistique inverse : Applications aux contenants réutilisables." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2013. http://www.theses.fr/2013ECAP0014.

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Dans un monde industriel marqué par un contexte économique difficile, les entreprises se doivent d’étudier toutes les possibilités de réduction de coûts et d’optimisation de leur chaîne logistique. Un des champs récents d’optimisation développé dans la littérature concerne le concept de logistique inverse. Cette logistique représente la gestion des flux traversant une chaîne logistique dans le sens inverse des flux traditionnels. On y retrouve des activités liées au recyclage, à la réparation ou encore à la réutilisation de produits. Au sein de la Chaire Supply Chain, nous nous sommes donc int
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Rivers, Derick Lorenzo. "Dynamic Bayesian Approaches to the Statistical Calibration Problem." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3599.

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The problem of statistical calibration of a measuring instrument can be framed both in a statistical context as well as in an engineering context. In the first, the problem is dealt with by distinguishing between the "classical" approach and the "inverse" regression approach. Both of these models are static models and are used to estimate "exact" measurements from measurements that are affected by error. In the engineering context, the variables of interest are considered to be taken at the time at which you observe the measurement. The Bayesian time series analysis method of Dynamic Linear Mo
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Marchand, Basile. "Assimilation de données et recalage rapide de modèles mécaniques complexes." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLN053/document.

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Depuis plusieurs années, les évolutions considérables survenues au niveau des moyens de calcul à disposition ont entraîné de nouvelles pratiques de simulation des structures mécaniques. Parmi ces nouvelles pratiques celle qui motive ces travaux de thèse est le paradigme Dynamic Data Driven Application Systems (DDDAS). L’idée fondatrice de cette approche est de mettre en place un dialogue entre un système physique et son modèle numérique. L’objectif est alors de (i) permettre un recalage du modèle numérique à l’aide de mesures faites sur le système physique ; (ii) contrôler l’évolution du systè
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Rosecký, Martin. "Aplikace pokročilých regresních modelů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382274.

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This thesis summarizes latest findings about municipal solid waste (MSW) modelling. These are used to solve multivariable version of inverse prediction problem. It is not possible to solve such problem analytically, so heuristic framework using regression models and data reconciliation was developed. As a side product, models for MSW modelling using PCA (Principal Component Analysis) and LM (Linear Model) were created. These were compared with heuristic model called RF (Random Forest). Both of these models were also used for per capita MSW modelling. Theoretical parts about generalized linear
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Granier, Bernard. "Restauration d'images perturbees par la turbulence atmospherique." Paris 11, 1996. http://www.theses.fr/1996PA112496.

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Une image observee est modelisee comme la convolution d'un noyau de flou du a la turbulence atmospherique par une image originale, a laquelle est ajoutee un bruit d'acquisition. L'objectif de notre etude est la mise en uvre d'une methode de restauration dont la complexite numerique est independante de la taille du noyau de perturbation. Nous proposons une methode de restauration en deux etapes: la premiere etant un filtrage de moindres carres faiblement regularise, la seconde un filtrage markovien. Nous etudions les methodes de deconvolution de moindres carres en proposant une technique de com
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Fontinele, Humberto Ãcaro Pinto. "Local models for inverse kinematics approximation of redundant robots: a performance comparison." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16727.

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nÃo hÃ<br>In this dissertation it is reported the results of a comprehensive comparative study involving six local models applied to the task of learning the inverse kinematics of three redundant robotic arm (planar, PUMA 560 and Motoman HP6). The evaluated algorithms are the following ones: radial basis functions network (RBFN), local model network (LMN), SOMbased local linear mapping (LLM), local linear mapping over k-winners (K-SOM), local weighted regression (LWR) and counter propagation (CP). Each algorithm is evaluated with respect to its accuracy in estimating the joint angles given the
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Heijden, Luuk van der. "Determination of the food sources and of the role of meiofauna in soft-bottom intertidal habitats of the Marennes-Oléron Bay, France, and the Sylt-Rømø Bight, Germany : importance of the microphytobenthos-meiofauna pathway, highlighted by community structure, trophic markers and linear inverse food web models." Thesis, La Rochelle, 2018. http://www.theses.fr/2018LAROS030/document.

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La méiofaune joue un rôle important dans le fonctionnement des habitats benthiques à substrat meuble (ex. flux de matière) en relation avec sa production élevée, sa position trophique intermédiaire et les importants transferts d’énergie vers les niveaux trophiques supérieurs qui y sont lié. Les relations trophiques et les flux de matière organique liés à la méiofaune restent néanmoins mal connus ou peu pris en compte. Afin de mieux appréhender le rôle de la méiofaune, la structure des communautés et les relations trophiques entre les sources de nourriture et ces consommateurs ont été déterminé
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Greiner, Eric. "Mise en oeuvre de méthodes de contrôle optimal pour l'assimilation de données in situ et satellitaires dans les modèles océaniques." Paris 6, 1993. http://www.theses.fr/1993PA066108.

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L'etude porte sur la resolution de problemes de moindres carres non lineaires rencontres dans le domaine des ecoulements oceaniques a grande echelle. L'originalite de ce travail reside dans l'approche qui est faite par la methode du controle optimal plutot que par une technique statistique. Cette methode consiste a minimiser une fonctionnelle correspondant au probleme de moindre carre etudie, le minimum de cette optimisation etant une solution du probleme. Lors des applications numeriques, le gradient de cette fonctionnelle n'est pas calcule par differences finies mais a l'aide du modele adjoi
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Sandberg, Henrik. "Linear Time-Varying Systems: Modeling and Reduction." Licentiate thesis, Lund University, Department of Automatic Control, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-74720.

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Linear time-invariant models are widely used in the control community. They often serve as approximations of nonlinear systems. For control purposes linear approximations are often good enough since feedback control systems are inherently robust to model errors. In this thesis some of the possibilities for linear time-varying modeling are studied. In the thesis it is shown that the balanced truncation procedure can be applied to reduce the order of linear time-varying systems. Many of the attractive properties of balanced truncation for time-invariant systems can be generalized into the time-v
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Books on the topic "Inverse linear model"

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Voronin, Evgeniy, Aleksandr Chibunichev, and Yuriy Blohinov. Reliability of solving inverse problems of analytical photogrammetry. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2010462.

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The monograph is devoted to computational aspects of photogrammetric reconstruction of narrow-angle bundles of projecting beams that existed during the survey. Methods of improving the conditionality of systems of linear equations, ensuring the convergence of iterative refinement of their roots, increasing the stability of calculations in finite precision machine arithmetic are considered. The main efforts are focused on solving the problem of establishing reliable measurement weights within the framework of the least squares method. The criteria for the reliability of the weights are determin
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Mas, André, and Besnik Pumo. Linear Processes for Functional Data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.3.

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This article provides an overview of the basic theory and applications of linear processes for functional data, with particular emphasis on results published from 2000 to 2008. It first considers centered processes with values in a Hilbert space of functions before proposing some statistical models that mimic or adapt the scalar or finite-dimensional approaches for time series. It then discusses general linear processes, focusing on the invertibility and convergence of the estimated moments and a general method for proving asymptotic results for linear processes. It also describes autoregressi
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Friel, Susan N., Glenda Lappan, James T. Fey, William M. Fitzgerald, and Elizabeth Difanis Phillips. Thinking with Mathematical Models: Linear and Inverse Variation (Connected Mathematics 2). Pearson Prentice Hall, 2006.

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Friel, Susan N., Glenda Lappan, James T. Fey, William M. Fitzgerald, and Elizabeth Difanis Phillips. Thinking with Mathematical Models: Linear and Inverse Variation (Connected Mathematics 2). Pearson Prentice Hall, 2006.

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Connected Mathematics 2 thinking with mathematical models: Linear and inverse variation. pearson prentice hall, 2007.

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Fey, Fitzgerald Friel &. Phillips Lappan. Thinking with Mathematical Models (Linear & Inverse Variation) Teacher's Guide, Connected Mathematics 2. Pearson Prentice Hall, 2006.

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PUBLISHER, PRENTICE HALL. CONNECTED MATHEMATICS 3 STUDENT EDITION GRADE 8 : THINKING with MATHEMATICAL MODELS: LINEAR and INVERSE VARIATION COPYRIGHT 2018. Savvas Learning Company, 2017.

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Connected Mathematics 3 Student Edition Grade 8 : Thinking with Mathematical Models: Linear and Inverse Variation Copyright 2014. Savvas Learning Company, 2013.

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PUBLISHER, PRENTICE HALL. CONNECTED MATHEMATICS 3 SPANISH STUDENT EDITION GRADE 8 : THINKING with MATHEMATICAL MODELS: LINEAR and INVERSE VARIATION COPYRIGHT 2018. Savvas Learning Company, 2017.

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PUBLISHER, PRENTICE HALL. Connected Mathematics 3 Spanish Student Edition Grade 8 : Thinking with Mathematical Models: Linear and Inverse Variation Copyright 2014. Savvas Learning Company, 2014.

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Book chapters on the topic "Inverse linear model"

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Choze, Sergio B., Rogerio R. Santos, Ariosto B. Jorge, and Guilherme F. Gomes. "An overview of Linear and Non-linear Programming methods for Structural Optimization." In Model-based and Signal-Based Inverse Methods. Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-71-5.c03.

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Evensen, Geir, Femke C. Vossepoel, and Peter Jan van Leeuwen. "Linear EnKF Update." In Springer Textbooks in Earth Sciences, Geography and Environment. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_13.

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AbstractThe Kalman filter or its ensemble version, the ensemble Kalman filter, is optimal for a linear model and -measurement operator. This chapter will comprehensively discuss the EnKF analysis scheme and its properties, focusing on an ensemble-subspace computation of the inverse.
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Vardi, Y. "Applications of the EM Algorithm to Linear Inverse Problems with Positivity Constraints." In Image Models (and their Speech Model Cousins). Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4056-3_11.

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Trajkovska, Vera, Paul Swoboda, Freddie Åström, and Stefania Petra. "Graphical Model Parameter Learning by Inverse Linear Programming." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58771-4_26.

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Martínez, I., I. Ortiz, and C. Rodríguez. "Optimum Experimental Designs for a Modified Inverse Linear Model." In mODa 6 — Advances in Model-Oriented Design and Analysis. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57576-1_19.

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Nguyen, Ngoc Anh, Sorin Olaru, Pedro Rodriguez-Ayerbe, Morten Hovd, and Ion Necoara. "Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings." In Developments in Model-Based Optimization and Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26687-9_2.

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Eyheramendy, Susana, and David Madigan. "A flexible Bayesian generalized linear model for dichotomous response data with an application to text categorization." In Complex Datasets and Inverse Problems. Institute of Mathematical Statistics, 2007. http://dx.doi.org/10.1214/074921707000000067.

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. "Regularization for Linear System Identification." In Regularized System Identification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_5.

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AbstractRegularization has been intensively used in statistics and numerical analysis to stabilize the solution of ill-posed inverse problems. Its use in System Identification, instead, has been less systematic until very recently. This chapter provides an overview of the main motivations for using regularization in system identification from a “classical” (Mean Square Error) statistical perspective, also discussing how structural properties of dynamical models such as stability can be controlled via regularization. A Bayesian perspective is also provided, and the language of maximum entropy priors is exploited to connect different form of regularization with time-domain and frequency-domain properties of dynamical systems. Some numerical examples illustrate the role of hyper parameters in controlling model complexity, for instance, quantified by the notion of Degrees of Freedom. A brief outlook on more advanced topics such as the connection with (orthogonal) basis expansion, McMillan degree, Hankel norms is also provided. The chapter is concluded with an historical overview on the early developments of the use of regularization in System Identification.
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Campos, Damián, Andrés Ajras, Lucas Goytiño, and Marcelo Piovan. "Bayesian Inversion of a Non-linear Dynamic Model for Stockbridge Dampers." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_1.

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AbstractStockbridge dampers are the most widely used in wind induced vibration control of overhead power transmission lines. This dynamic absorber comprises a carrier cable with a mass at each end and a bolted clamp that can be attached to a conductor or a guard wire, with the purpose of supplementing the energy dissipated by the cable related to its self-damping. The maximum response of this type of absorber is associated with the frequencies of its different oscillation modes. The masses are designed in such a way to obtain moments of inertia and location of their center of gravity such that, with the vibration of the clamp, their various characteristic bending and torsional modes are excited. In this work, the calibration of a nonlinear finite element model using Bayesian inference is presented to evaluate the dynamic behavior of the damper for all excitation frequencies and displacement amplitudes. To this end, an inverse problem was posed in which the probability distributions of the parameters of interest are obtained from backward uncertainty propagation of experimental measurements performed in laboratory tests. Finally, the uncertainty of the calibrated model was propagated and contrasted with the experimental data. The developed model is a powerful tool when defining the quantity and distribution of dampers in the span of a line.
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Bapat, R. B. "Generalized Inverses." In Linear Algebra and Linear Models. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2739-0_4.

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Conference papers on the topic "Inverse linear model"

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Tan, Jian, Senping Tian, Jiaqi Xin, and Xiangyang Li. "A Hybrid Inverse Model Algorithm for Linear Discrete Iterative Learning Control." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11066010.

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Greiser, Steffen, and Wolfgang Grünhagen. "Improving System Identification Results: Combining a Physics-Based Stitched Model with Transfer Function Models Obtained Through Inverse Simulation." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11497.

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It is state-of-the-art to model helicopter dynamics by low-order equivalent linear systems at certain speed-dependent operating points for the flight envelope of interest. These models are obtained from flight test data by system identification. Based on the linear models, it is desired to simulate maneuvering flight such as acceleration and deceleration between hover and high forward-speed. Additionally, the identified operating point model should consist of a high modeling accuracy. Thus, the two modeling and simulation goals are: generation of a full-envelope simulation by embedding all lin
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Wang, Jiannan, Jingtao Ma, Penghui Huang, et al. "Linear-Geometry Distortion Correction for Bistatic Inverse Synthetic Aperture Radar Imaging Based on Deep Learning Model." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640941.

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Spires, J., and Joseph Horn. "Multi-Input Multi-Output Model-Following Control Design Methods for Rotorcraft." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10168.

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We compare two MIMO model-following control design methods for rotorcraft flight control. The first, Explicit Model Following (EMF), employs SISO inverse plants with a dynamic decoupling matrix, which is a purely feed-forward approach to inverting the plant. The second is Dynamic Inversion (DI), which involves both feed-forward and feedback path elements to invert the plant. The EMF design is purely linear, while our DI has some nonlinear elements in vertical rate control. For each of these methods, an architecture is presented that provides angular rate model-following with selectable vertica
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Mazzella, Joseph, Len Krissa, Thomas Hayden, and Haralampos Tsaprailis. "Estimating Corrosion Growth Rate for Underground Pipeline: A Machine Learning Based Approach." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13456.

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Abstract Estimating corrosion growth rate for underground pipelines is a non-linear, multivariate problem. There are many potential confounding variables such as soil parameters, cathodic protection, AC/DC interference, seasonal / climate conditions, and proximity to unique geographic features such as wetlands or polluted environments. The work presented provides an approach for estimating underground corrosion growth rates using a dataset of observations from a North American pipeline operator. Extensive geospatial data is utilized that has been obtained from public and private sources and ex
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Mendoza, Diego, Ramiro Pérez, and Andrés Aguilar. "Cathodic Protection Behavior of API X-52 and API X-65 Steels Buried in Natural Soil." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11052.

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Abstract The goal of this work is the evaluation of the cathodic protection in API X-52 and API X-65 steel specimens buried in natural soil, using two distinct cathodic protection potentials (-850 mV and -1100 mV vs. CSE). The first protection potential is recommended by the NACE SP01691 standard and the second potential was chosen because it is considered that a pipe is overprotected if the protection potential is more negative than -1100 mV vs. CSE.2 Soil samples from two villages localized in Veracruz, Mexico, along a pipeline right of way, were used during the experiments in the laboratory
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Drouard, Vincent, Sileye Ba, and Radu Horaud. "Switching Linear Inverse-Regression Model for Tracking Head Pose." In 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2017. http://dx.doi.org/10.1109/wacv.2017.142.

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Jasinska, Elzbieta. "ESTIMATION LINEAR MODEL USING BLOCK GENERALIZED INVERSE OF A MATRIX." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v2/s09.022.

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Sun, Shilong, Bert Jan Kooij, and Alexander G. Yarovoy. "Solving the PEC inverse scattering problem with a linear model." In 2016 URSI International Symposium on Electromagnetic Theory (EMTS). IEEE, 2016. http://dx.doi.org/10.1109/ursi-emts.2016.7571336.

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Aldrian, Oswald, and William A. P. Smith. "Inverse rendering in SUV space with a linear texture model." In 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, 2011. http://dx.doi.org/10.1109/iccvw.2011.6130337.

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Reports on the topic "Inverse linear model"

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Yu, Guoshen, Guillermo Sapiro, and Stephane Mallat. Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada540722.

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Poppeliers, Christian, Katherine Anderson Aur, and Leiph Preston. The use of atmospheric prediction models to invert infrasound for linear-equivalent time domain moment tensors: Source Physics Experiment Phase 1. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1468382.

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Krause, Thomas, Mehrdad Keshefi, Ross Underhill, and Lynann Clapham. PR652-203801-R02 Magnetic Object Model for Large Standoff Magnetometry Measurement. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012151.

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Ferromagnetic pipeline steel may exhibit magnetization, even in the absence of applied magnetic fields, due to remnant fields or the presence of pipe wall stress. Remnant magnetization may be present from previous or existing exposure to a magnetic field, while pipe wall stress induced magnetization can result from line pressure, environmental stresses due to settling or geohazard conditions, and residual stresses due to nonuniform plastic deformation caused by manufacturing processes, installation or operating conditions. The local stress state of the pipeline may also be altered by corrosion
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Dashtey, Ahmed, Patrick Mormile, Sandra Pedre, Stephany Valdaliso, and Walter Tang. Prediction of PFOA and PFOS Toxicity through Log P and Number of Carbon with CompTox and Machine Learning Tools. Florida International University, 2024. http://dx.doi.org/10.25148/ceefac.2024.00202400.

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Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) are two major groups of PFAS will be subjected to the Maximal Contamination Concentration (MCL) of 4 ng/l in drinking water to be implemented by the U.S. EPA by 2025. How to accurately predict toxicity of PFAS with varied carbon chain length is important for treatment and sequential removal from drinking water. This study presents Quantitative Structure and Activity Relationship (QSAR) models developed through both linear regression and two order regression. Log P is compiled from reference and carbon content is counted as
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Jury, William A., and David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568772.bard.

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This report describes activity conducted in several lines of research associated with field-scale water and solute processes. A major effort was put forth developing a stochastic continuum analysis for an important class of problems involving flow of reactive and non reactive chemicals under steady unsaturated flow. The field-scale velocity covariance tensor has been derived from local soil properties and their variability, producing a large-scale description of the medium that embodies all of the local variability in a statistical sense. Special cases of anisotropic medium properties not alig
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