Relevant bibliographies by topics / Linear Dependencies

Contents

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

Academic literature on the topic 'Linear Dependencies'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Linear Dependencies"

1

Chen. "Linear Dependencies in Linear Feedback Shift Registers." IEEE Transactions on Computers C-35, no. 12 (1986): 1086–88. http://dx.doi.org/10.1109/tc.1986.1676718.

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Kagaris, D. "Linear dependencies in extended LFSMs." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 21, no. 7 (2002): 852–59. http://dx.doi.org/10.1109/tcad.2002.1013897.

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Cox, D. R., and Nanny Wermuth. "Linear Dependencies Represented by Chain Graphs." Statistical Science 8, no. 3 (1993): 204–18. http://dx.doi.org/10.1214/ss/1177010887.

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Bobrowski, Leon. "CPL Clustering Based on Linear Dependencies." SNE Simulation Notes Europe 20, no. 3-4 (2010): 43–48. http://dx.doi.org/10.11128/sne.20.tn.09991.

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Knuth, Donald E. "Semi-optimal bases for linear dependencies." Linear and Multilinear Algebra 17, no. 1 (1985): 1–4. http://dx.doi.org/10.1080/03081088508817636.

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Meyer, M. L., O. Liabøtrø, and S. Viefers. "Linear dependencies between composite fermion states." Journal of Physics A: Mathematical and Theoretical 49, no. 39 (2016): 395201. http://dx.doi.org/10.1088/1751-8113/49/39/395201.

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Dang, Hoan Bui, Kate Blanchfield, Ingemar Bengtsson, and D. M. Appleby. "Linear dependencies in Weyl–Heisenberg orbits." Quantum Information Processing 12, no. 11 (2013): 3449–75. http://dx.doi.org/10.1007/s11128-013-0609-6.

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Loperfido, Nicola Maria Rinaldo. "Canonical Correlations and Nonlinear Dependencies." Symmetry 13, no. 7 (2021): 1308. http://dx.doi.org/10.3390/sym13071308.

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Canonical correlation analysis (CCA) is the default method for investigating the linear dependence structure between two random vectors, but it might not detect nonlinear dependencies. This paper models the nonlinear dependencies between two random vectors by the perturbed independence distribution, a multivariate semiparametric model where CCA provides an insight into their nonlinear dependence structure. The paper also investigates some of its probabilistic and inferential properties, including marginal and conditional distributions, nonlinear transformations, maximum likelihood estimation a
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Kane, V. E., R. C. Ward, and G. J. Davis. "Assessment of Linear Dependencies in Multivariate Data." SIAM Journal on Scientific and Statistical Computing 6, no. 4 (1985): 1022–32. http://dx.doi.org/10.1137/0906070.

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Konevtsov, Vladimir Aleksandrovich, and Lilia Motaylenko. "NON-LINEAR TRANSFORMATION OF SIGNALS IN SOFTWARE DESIGN OF DIGITAL CONTROL SYSTEMS COMPLEX." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 15, 2017): 140. http://dx.doi.org/10.17770/etr2017vol3.2537.

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Dependencies between signals and dependence of signals on time are strictly non-linear. Non-linear elements, commonly used in the synthesis of automatic control systems, include: a two-point link, a two-point link with hysteresis, a three-point link, a three-point link with hysteresis, a module, saturation with insensitivity.
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Dissertations / Theses on the topic "Linear Dependencies"

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Kakade, Jayawant S. "Methods to minimize linear dependencies in two-dimensional scan designs /." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1791777661&sid=5&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Thesis (Ph. D.)--Southern Illinois University Carbondale, 2009.<br>"Department of Electrical & Computer Engineering." Keywords: Built-in self test, Design for test, Linear dependencies, Linear finite state machines, Scan chains, VLSI test. Includes bibliographical references (p. 91-93). Also available online.
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Kakade, Jayawant Shridhar. "METHODS TO MINIMIZE LINEAR DEPENDENCIES IN TWO-DIMENSIONAL SCAN DESIGNS." OpenSIUC, 2008. https://opensiuc.lib.siu.edu/dissertations/256.

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Two-dimensional scan design is an effective BIST architecture that uses multiple scan chains in parallel to test the Circuit Under Test (CUT). Linear Finite State Machines (LFSMs) are often used as on-board Pseudo Random Pattern Generators (PRPGs) in two-dimensional scan designs. However, linear dependencies present in the LFSM generated test-bit sequences adversely affect the resultant fault coverage in two-dimensional scan designs. In this work, we present methods that improve the resultant fault coverage in two-dimensional scan designs through the minimization of linear dependencies. Curre
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Karra, Kiran. "Modeling and Analysis of Non-Linear Dependencies using Copulas, with Applications to Machine Learning." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85110.

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Many machine learning (ML) techniques rely on probability, random variables, and stochastic modeling. Although statistics pervades this field, there is a large disconnect between the copula modeling and the machine learning communities. Copulas are stochastic models that capture the full dependence structure between random variables and allow flexible modeling of multivariate joint distributions. Elidan was the first to recognize this disconnect, and introduced copula based models to the ML community that demonstrated magnitudes of order better performance than the non copula-based models Elid
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Majidi, Mohammad Hassan. "Bayesian estimation of discrete signals with local dependencies." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0014/document.

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L'objectif de cette thèse est d'étudier le problème de la détection de données dans le système de communication sans fil, à la fois pour le cas de l'information d'état de canal parfaite et imparfaite au niveau du récepteur. Comme on le sait, la complexité de MLSE est exponentielle en la mémoire de canal et la cardinalité de l'alphabet symbole est rapidement ingérable, ce qui force à recourir à des approches sousoptimales. Par conséquent, en premier lieu, nous proposons une nouvelle égalisation itérative lorsque le canal est inconnu à l'émetteur et parfaitement connu au niveau du récepteur. Ce
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Berberovic, Adnan, and Alexander Eriksson. "A Multi-Factor Stock Market Model with Regime-Switches, Student's T Margins, and Copula Dependencies." Thesis, Linköpings universitet, Produktionsekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143715.

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Investors constantly seek information that provides an edge over the market. One of the conventional methods is to find factors which can predict asset returns. In this study we improve the Fama and French Five-Factor model with Regime-Switches, student's t distributions and copula dependencies. We also add price momentum as a sixth factor and add a one-day lag to the factors. The Regime-Switches are obtained from a Hidden Markov Model with conditional Student's t distributions. For the return process we use factor data as input, Student's t distributed residuals, and Student's t copula depend
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Tian, Chao. "Towards effective analysis of big graphs : from scalability to quality." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/29578.

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This thesis investigates the central issues underlying graph analysis, namely, scalability and quality. We first study the incremental problems for graph queries, which aim to compute the changes to the old query answer, in response to the updates to the input graph. The incremental problem is called bounded if its cost is decided by the sizes of the query and the changes only. No matter how desirable, however, our first results are negative: for common graph queries such as graph traversal, connectivity, keyword search and pattern matching, their incremental problems are unbounded. In light o
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Wang, Changlu. "Monotic dependence in non-linear resistive circuits and applications /." Lausanne, 1994. http://library.epfl.ch/theses/?nr=1231.

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Thawornkaiwong, Supachoke. "Statistical inference on linear and partly linear regression with spatial dependence : parametric and nonparametric approaches." Thesis, London School of Economics and Political Science (University of London), 2012. http://etheses.lse.ac.uk/620/.

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The typical assumption made in regression analysis with cross-sectional data is that of independent observations. However, this assumption can be questionable in some economic applications where spatial dependence of observations may arise, for example, from local shocks in an economy, interaction among economic agents and spillovers. The main focus of this thesis is on regression models under three di§erent models of spatial dependence. First, a multivariate linear regression model with the disturbances following the Spatial Autoregressive process is considered. It is shown that the Gaussian
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Seater, Robert. "Efficient handling of dependence analysis for arrays." Diss., Connect to the thesis, 2002. http://hdl.handle.net/10066/1541.

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Ramnarayan, Kalind. "Level Dependence in Volatility in Linear-Rational Term Structure Models." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/31207.

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The degree of level dependence in interest rate volatility is analysed in the linearrational term structure model. The linear-rational square-root (LRSQ) model, where level dependence is set a priori, is compared to a specification where the factor process follows CEV-type dynamics which allows a more flexible degree of level dependence. Parameters are estimated using an unscented Kalman filter in conjunction with quasi-maximum likelihood. An extended specification for the state price density process is required to ensure reliable parameter estimates. The empirical analysis indicates that the
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Books on the topic "Linear Dependencies"

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Afriat, S. N. Linear Dependence. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4273-5.

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Linear dependence: Theory and computation. Kluwer Academic/Plenum Publishers, 2000.

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Multivariate models and dependence concepts. Chapman & Hall, 1997.

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Waldschmidt, Michel. Linear independence of logarithms of algebraic numbers. Institute of Mathematical Sciences, 1992.

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Mahmood, Wan Mansor. Linear and non-linear dependence between returns and trading volume in the currency futures market. School of Accounting, Banking and Economics, University of Wales, 1998.

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McMillan, David G. Non-linear dependence in inter-war exchange rates: Some further evidence. St. Salvator's College, 1999.

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Rosen, I. G. On the continuous dependence with respect to sampling of the linear quadratic regulator problem for distributed parameter systems. Institute for Computer Applications in Science and Engineering, 1990.

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Rosen, I. Gary. On the continuous dependence with respect to sampling of the linear quadratic regulator problem for distributed parameter systems. National Aeronautics and Space Administration, Langley Research Center, 1990.

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Vallejo Maldonado, Pablo Ramon, and Nikolay Chaynov. Kinematics and dynamics of automobile piston engines. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/989072.

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The fundamentals of kinematics and dynamics of transport piston internal combustion engines made using different layout schemes are presented. Along with the traditional in-line, V-shaped, including oppositional, arrangement of cylinders, schemes with "staggered" arrangement of cylinders in the block at the displaced connecting rod necks of the crankshaft of the engine are considered. The kinematics of the coaxial crank mechanism is considered in detail. The questions of dynamics with reduction of calculated dependences of forces, moments, a choice of a rational order of work of cylinders in r
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Fonseca, Carlos M. da. A panorama of mathematics: Pure and applied : Conference on Mathematics and Its Applications, November 14-17, 2014, Kuwait University, Safat, Kuwait. American Mathematical Society, 2016.

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Book chapters on the topic "Linear Dependencies"

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Greenberg, Harvey J. "Dependencies." In Modeling by Object-Driven Linear Elemental Relations. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3168-5_7.

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McKay, John. "Linear dependencies among completely replicable functions." In CRM Proceedings and Lecture Notes. American Mathematical Society, 2001. http://dx.doi.org/10.1090/crmp/030/10.

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Bárány, Imre. "On the Power of Linear Dependencies." In Bolyai Society Mathematical Studies. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85221-6_1.

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Slivovsky, Friedrich, and Stefan Szeider. "Computing Resolution-Path Dependencies in Linear Time ,." In Theory and Applications of Satisfiability Testing – SAT 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31612-8_6.

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Ziarko, Wojciech. "Probabilistic Dependencies in Linear Hierarchies of Decision Tables." In Transactions on Rough Sets IX. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89876-4_24.

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Gregorová, Magda, Alexandros Kalousis, and Stéphane Marchand-Maillet. "Forecasting and Granger Modelling with Non-linear Dynamical Dependencies." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71246-8_33.

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Feige, Uriel. "Small Linear Dependencies for Binary Vectors of Low Weight." In Bolyai Society Mathematical Studies. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85221-6_9.

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Karimi, Arash, and Jia-Huai You. "Distributed Reasoning for Restricted Weakly-Linear Disjunctive Tuple-Generating Dependencies." In Rules and Reasoning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57977-7_10.

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Rajopadhye, Sanjay V., S. Purushothaman, and Richard M. Fujimoto. "On synthesizing systolic arrays from Recurrence Equations with Linear Dependencies." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/3-540-17179-7_30.

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Kreinovich, Vladik. "Linear Neural Networks Revisited: From PageRank to Family Happiness." In How Uncertainty-Related Ideas Can Provide Theoretical Explanation For Empirical Dependencies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65324-8_13.

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Conference papers on the topic "Linear Dependencies"

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Zniyed, Yassine, Sebastian Miron, Remy Boyer, and David Brie. "Uniqueness of Tensor Train Decomposition with Linear Dependencies." In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2019. http://dx.doi.org/10.1109/camsap45676.2019.9022651.

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Attardi, Giuseppe, Daniele Sartiano, and Maria Simi. "Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies." In Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.iwpt-1.21.

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Dang, Xuan-Hong, Syed Yousaf Shah, and Petros Zerfos. "seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006103.

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Zhang, Liang, Gang Wang, and Georgios B. Giannakis. "Going beyond linear dependencies to unveil connectivity of meshed grids." In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2017. http://dx.doi.org/10.1109/camsap.2017.8313078.

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Caban, J. J., U. Bagci, A. Mehari, et al. "Characterizing non-linear dependencies among pairs of clinical variables and imaging data." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346521.

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Mörbitz, Richard, and Thomas Ruprecht. "Lexicalization of Probabilistic Linear Context-free Rewriting Systems." In Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.iwpt-1.10.

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Giryes, Raja, and Michael Elad. "Can we allow linear dependencies in the dictionary in the sparse synthesis framework?" In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638707.

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Abousamra, Ahmed, Rami Melhem, and Daniel Mosse. "Minimizing expected energy consumption for streaming applications with linear dependencies on chip multiprocessors." In 2009 IEEE International Symposium on Industrial Embedded Systems (SIES). IEEE, 2009. http://dx.doi.org/10.1109/sies.2009.5196201.

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Takeuchi, J., O. Shouno, and H. Tsujino. "Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations." In The 2006 IEEE International Joint Conference on Neural Network Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/ijcnn.2006.246659.

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Blaise, J. Harry, and Taikang Ning. "Application of independent component analysis to remove linear dependencies in EEG recorded in hippocampus." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591402.

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Reports on the topic "Linear Dependencies"

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Rizzo, Thomas G. Contact Interaction Searches at the Linear Collider: Energy, Luminosity and Positron Polarization Dependencies. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/812949.

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Tukey, John W. Graphical Displays of: Are the (x, y) Pairs Compatible with a Linear Dependence. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada238687.

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Hsu, L., E. E. Haller, and A. K. Ramdas. Pressure dependence of Se absorption lines in AlSb. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/414370.

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Maidanik, G., and K. J. Becker. Dependence of the Induced Loss Factor on the Coupling Forms and Coupling Strengths: Linear Analysis. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389640.

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Brannon, P., E. Patterson, and G. Samlin. Parametric dependences of the 2. 63 and 2. 65. mu. m laser lines of atomic xenon. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7188435.

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Johnson, Mark A., and Paul J. Cote. Determing the Time Dependence of Electrical Gradients in Railguns using the Transmission Line. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada591196.

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Whangbo, Myung-Hwan, M. Evain, E. Canadell, and J. M. Williams. Linear electron-hole-electron pair model of high-temperature superconductivity in La sub 2-x M sub x CuO sub 4 and YBa sub 2 Cu sub 3 O sub 7-y : 2, Dependence of the superconducting transition temperatures on pressure and on hole concentration. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5469409.

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