Academic literature on the topic 'Mixed Order'

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Journal articles on the topic "Mixed Order"

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Džurina, Jozef, and Viktor Pirč. "Oscillation of unstable second order neutral differential equations with mixed argument." Mathematica Bohemica 130, no. 3 (2005): 323–33. http://dx.doi.org/10.21136/mb.2005.134096.

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Fečkan, Michal, and JinRong Wang. "Mixed Order Fractional Differential Equations." Mathematics 5, no. 4 (November 7, 2017): 61. http://dx.doi.org/10.3390/math5040061.

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Gershman, Alex B., and Hagit Messer. "Robust mixed-order root-music." Circuits Systems and Signal Processing 19, no. 5 (September 2000): 451–66. http://dx.doi.org/10.1007/bf01196158.

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CAREY, G. F., and W. F. SPOTZ. "Higher-order compact mixed methods." Communications in Numerical Methods in Engineering 13, no. 7 (July 1997): 553–64. http://dx.doi.org/10.1002/(sici)1099-0887(199707)13:7<553::aid-cnm80>3.0.co;2-o.

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Dorjgotov, Enkh-Amgalan, Achintya K. Bhowmik, and Philip J. Bos. "High tunability mixed order photonic crystal." Applied Physics Letters 96, no. 16 (April 19, 2010): 163507. http://dx.doi.org/10.1063/1.3368125.

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Bokov, A. A. "Compositional order-disorder in mixed ferroelectrics." Ferroelectrics 183, no. 1 (July 1996): 65–73. http://dx.doi.org/10.1080/00150199608224092.

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Baran, Ilya, Johannes Schmid, Thomas Siegrist, Markus Gross, and Robert W. Sumner. "Mixed-order compositing for 3D paintings." ACM Transactions on Graphics 30, no. 6 (December 2011): 1–6. http://dx.doi.org/10.1145/2070781.2024166.

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Lie, S., A. R. Leyman, and Y. H. Chew. "Fourth-Order and Weighted Mixed Order Direction-of-Arrival Estimators." IEEE Signal Processing Letters 13, no. 11 (November 2006): 691–94. http://dx.doi.org/10.1109/lsp.2006.879456.

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UYEMATSU, Tomohiko, and Tetsunao MATSUTA. "Second-Order Intrinsic Randomness for Correlated Non-Mixed and Mixed Sources." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A, no. 12 (2017): 2615–28. http://dx.doi.org/10.1587/transfun.e100.a.2615.

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Zhou, Yewang. "Study on the Mixed Prediction Method of Order Quantity Based on Grey Neural Network." International Journal of Computer and Communication Engineering 4, no. 1 (2015): 18–21. http://dx.doi.org/10.7763/ijcce.2015.v4.375.

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Dissertations / Theses on the topic "Mixed Order"

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Alves, Do Nascimento Filho Robson. "Fourth-Order Problems with Mixed Dispersion." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/273266.

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This thesis is devoted to the study the mixed dispersion fourth order nonlinear Schrodinger equations. Our main concern is standing wave solutions. Our approach is based on minimization methods with constraints. Under suitable conditions, we establish existence of minimizers and we investigate their qualitative properties, namely their sign, symmetry and decay at infinity as well as their uniqueness, nondegeneracy and orbital stability.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
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Schwardt, Ludwig. "Efficient Mixed-Order Hidden Markov Model Inference." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/709.

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Garcia, Maxine Patricia. "Collocation methods for mixed order boundary value problems." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322404.

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Crowley, Christopher W. "Mixed order covariant projection finite elements for vector fields." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75691.

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The propagation of electromagnetic fields is described by the vector Helmholtz equation. Finite element analysis of the vector Helmholtz equation involves complications such as spurious modes that do not arise in the scalar Helmholtz equation. Both driven vector field problems as well as vector eigenvalue problems may be corrupted by these divergent, nonphysical fields. Additionally, boundary and interface conditions in vector field problems are more complex than in scalar problems. In this thesis, the cause of spurious modes is analyzed and a condition called the inclusion condition is shown to eliminate the spurious modes. Mixed order covariant projection finite elements are shown to avoid spurious corruptions in both driven and eigenvalue problems. The proposed elements do not involve globally imposed constraints or penalty functions, and boundary and interface conditions are easily imposed.
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Bucalém, Miguel Luiz. "On higher-order mixed-interpolated general shell finite elements." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/60125.

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Swingler, Kevin. "Mixed order hyper-networks for function approximation and optimisation." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/25349.

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Many systems take inputs, which can be measured and sometimes controlled, and outputs, which can also be measured and which depend on the inputs. Taking numerous measurements from such systems produces data, which may be used to either model the system with the goal of predicting the output associated with a given input (function approximation, or regression) or of finding the input settings required to produce a desired output (optimisation, or search). Approximating or optimising a function is central to the field of computational intelligence. There are many existing methods for performing regression and optimisation based on samples of data but they all have limitations. Multi layer perceptrons (MLPs) are universal approximators, but they suffer from the black box problem, which means their structure and the function they implement is opaque to the user. They also suffer from a propensity to become trapped in local minima or large plateaux in the error function during learning. A regression method with a structure that allows models to be compared, human knowledge to be extracted, optimisation searches to be guided and model complexity to be controlled is desirable. This thesis presents such as method. This thesis presents a single framework for both regression and optimisation: the mixed order hyper network (MOHN). A MOHN implements a function f:{-1,1}^n →R to arbitrary precision. The structure of a MOHN makes the ways in which input variables interact to determine the function output explicit, which allows human insights and complexity control that are very difficult in neural networks with hidden units. The explicit structure representation also allows efficient algorithms for searching for an input pattern that leads to a desired output. A number of learning rules for estimating the weights based on a sample of data are presented along with a heuristic method for choosing which connections to include in a model. Several methods for searching a MOHN for inputs that lead to a desired output are compared. Experiments compare a MOHN to an MLP on regression tasks. The MOHN is found to achieve a comparable level of accuracy to an MLP but suffers less from local minima in the error function and shows less variance across multiple training trials. It is also easier to interpret and combine from an ensemble. The trade-off between the fit of a model to its training data and that to an independent set of test data is shown to be easier to control in a MOHN than an MLP. A MOHN is also compared to a number of existing optimisation methods including those using estimation of distribution algorithms, genetic algorithms and simulated annealing. The MOHN is able to find optimal solutions in far fewer function evaluations than these methods on tasks selected from the literature.
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Sun, David. "Generation and perception of three-dimensional sound fields using Higher Order Ambisonics." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9885.

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This thesis presents an investigation into the generation and perception of three-dimensional sound fields using Higher Order Ambisonics. The first part involves the design, construction and characterisation of a hemi-anechoic chamber, as well as the design, construction, calibration and characterisation of a three-dimensional sound field reproduction system. The reproduction system is capable of rendering fourth-order 3D HOA sound scenes. Objective measurements revealed that the system achieves an almost perfect reconstruction of the ITD cues, reasonable reconstruction of the ILD cues, and inaccurate reconstruction of the monaural cues. Sound localisation testing conducted showed reasonable lateral sound localisation was not severely affected, while elevation sound localisation was poor. The second part of the investigation focuses on the perception of the sound field generated using HOA. The measured limitations of the fourth-order system motivated an investigation into the Ambisonic order required to achieve perceptually accurate sound field reconstruction. Three methods for binaurally rendering HOA signals were studied and evaluated. Of the three methods examined, the Magnitude Optimised Reconstruction technique was rated consistently better. A discrimination test showed that the sensory threshold for perceptually accurate reconstruction was order-12 for sound sources located on the horizon and order-14 for sound sources located across the full sphere of space. The perceptual fidelity of mixed-order HOA signal encoding (Mixed Order Ambisonics or MOA) was investigated by conducting listening tests using headphones and loudspeakers. Complex sound scenes were encoded using both full HOA and MOA up to fourth order. Results from both evaluations showed that the perceived fidelity of the sounds improved with increasing order. Also, the addition of harmonic components on top of 2D HOA showed greater improvement in fidelity for scenes with sound sources in elevation.
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He, Yi. "Evaluating equating properties for mixed-format tests." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/981.

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Mixed-format tests containing both multiple-choice (MC) items and constructed-response (CR) items are used in many testing programs. The use of multiple formats presents a number of measurement challenges, one of which is how to adequately equate mixed-format tests under the common-item nonequivalent groups (CINEG) design, especially when, due to practical constraints, the common-item set contains only MC items. The purpose of this dissertation was to evaluate how equating properties were preserved for mixed-format tests under the CINEG design. Real data analyses were conducted on 22 equating linkages of 39 mixed-format tests from the Advanced Placement (AP) Examination program. Four equating methods were used: the frequency estimation (FE) method, the chained equipercentile (CE) method, item response theory (IRT) true score equating, and IRT observed score equating. In addition, cubic spline postsmoothing was used with the FE and CE methods. The factors of investigation were the correlation between MC and CR scores, the proportion of common items, the proportion of MC-item score points, and the similarity between alternate forms. Results were evaluated using three equating properties: first-order equity, second-order equity, and the same distributions property. The main findings from this dissertation were as follows: (1) Between the two IRT equating methods, true score equating better preserved first-order equity than observed score equating, and observed score equating better preserved second-order equity and the same distributions property than true score equating. (2) Between the two traditional methods, CE better preserved first-order equity than FE, but in terms of preserving second-order equity and the same distributions property, CE and FE produced similar results. (3) Smoothing helped to improve the preservation of second-order equity and the same distributions property. (4) A higher MC-CR correlation was associated with better preservation of first-order equity for both IRT methods. (5) A higher MC-CR correlation was associated with better preservation of second-order equity for IRT true score equating. (6) A higher MC-CR correlation was associated with better preservation of the same distributions property for IRT observed score equating. (7) The proportion of common items, the proportion of MC score points, and the similarity between forms were not found to be associated with the preservation of the equating properties. These results are interpreted in the context of research literature in this area and suggestions for future research are provided.
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Caplan, Philip Claude Delhaye. "An adaptive framework for high-order, mixed-element numerical simulations." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90654.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 99-103).
This work builds upon an adaptive simulation framework to allow for mixed-element meshes in two dimensions. Contributions are focused in the area of mesh generation which employs the Lk norm to produce various mesh types. Mixed-element meshes are obtained by first using the L[alpha] norm to create a right-triangulation which is then combined to form quadrilaterals through a graph-matching approach. The resulting straight-sided mesh is then curved using a nonlinear elasticity analogy. Since the element sizes and orientations are prescribed to the mesh generator through a field of Riemannian metric tensors, the adaptation algorithm used to compute this field is also discussed. The algorithm is first tested through the L² error control of isotropic and anisotropic problems and shows that optimal mesh gradings can be obtained. Problems drawn from aerodynamics are then used to demonstrate the ability of the algorithm in practical applications. With mixed element meshes, the adaptation algorithm works well in practice, however, improvements can be made in the cost and error models. In fact, using the L[alpha]-generated meshes inherits the same properties of traditional triangulations while adding structure to the mesh. The use of the L[alpha]-norm in generating tetrahedral meshes is worth pursuing in the future.
by Philip Claude Delhaye Caplan.
S.M.
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Chapman, Alex J. (Alex Jacob). "Biomass characterization and reduced order modeling of mixed-feedstock gasification." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67611.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 88-90).
There has been much effort to characterize and model coal for use in combustion and gasification. This work seeks to delineate the differences and similarities between biomass and coal, with emphasis on the state of the art in biomass pyrolysis/devolatilization modeling. An existing coal Entrained Flow Gasification (EFG) Reduced Order Model (ROM) was expanded to more accurately simulate the gasification of a mixed feedstock of biomass and coal. The GE 2700tpd gasifier was used because it is a widely used technology. The characteristics and state of the art in biomass conversion models were applied in the expanded ROM to model coal-biomass mixture gasification. Biomass has higher oxygen content and lower fixed carbon content than coal. Therefore, as results show, increasing the mass fraction of wood leads to a rise in temperature and drop in syngas heating value and Cold Gas Efficiency (CGE). The oxygen feed stream must be adjusted downward to maintain a constant temperature. Temperature change has the strongest effect on ash slag (lesser viscosity and thickness) while ash composition has a very small effect (greater viscosity and thickness).
by Alex J. Chapman.
S.M.
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Books on the topic "Mixed Order"

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Moore, Elaine. Mixed-up Sam. St. Louis, MO: Milliken Pub. Co., 1989.

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Moore, Elaine. Mixed-up Sam. St. Louis, Mo: Milliken Pub. Co., 1989.

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Denk, Robert, and Mario Kaip. General Parabolic Mixed Order Systems in Lp and Applications. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02000-6.

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Harald, Buschek, Calise Anthony J, and United States. National Aeronautics and Space Administration., eds. Homotopy algorithm for fixed order mixed H₂/H[infinity] design. [Washington, DC: National Aeronautics and Space Administration, 1996.

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Order and discipline in China: The Shanghai Mixed Court, 1911-27. Seattle: University of Washington Press, 1992.

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Bergstrom, A. R. Gaussian estimation of mixed order continuous time dynamic models with unobservable stochastic trends from mixed stock and flow data. [Colchester]: University of Essex, Department of Economics, 1995.

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Whorton, M. Development of homotopy algorithms for fixed-order mixed H2/H controller synthesis. Huntsville, Ala: George C. Marshall Space Flight Center, 1994.

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H, Buschek, Calise Anthony J, and George C. Marshall Space Flight Center., eds. Development of homotopy algorithms for fixed-order mixed H₂/H [infinity] controller synthesis. MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1994.

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Godin, Paul. Long time existence of solutions to Cauchy and mixed problems for second order quasilinear hyperbolic equations. Recife, Brasil: Universidade Federal de Pernambuco, Departamento de Matemática, 1989.

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Bergstrom, A. R. The estimation of open higher order continuous time dynamic models with mixed stock and flow data. [Colchester]: University of Essex, Dept. of Economics, 1986.

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Book chapters on the topic "Mixed Order"

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Karman, Steve L., Kristen Karman-Shoemake, and Carolyn D. Woeber. "Mixed Order Mesh Curving." In Mesh Generation and Adaptation, 1–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92540-6_1.

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Thomopoulos, Nick T. "Mixed Model Make-to-Order Assembly." In Assembly Line Planning and Control, 69–87. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01399-2_8.

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Drewes, Sarah, and Stefan Ulbrich. "Subgradient Based Outer Approximation for Mixed Integer Second Order Cone Programming." In Mixed Integer Nonlinear Programming, 41–59. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1927-3_2.

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Meng, Deyuan, Mingjun Du, and Yuxin Wu. "Behavior Analysis of Mixed-Order Signed Networks." In Disagreement Behavior Analysis of Signed Networks, 235–55. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5530-3_12.

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Rosbrook-Thompson, James, and Gary Armstrong. "Custodians of (Dis)order: The Pusher, the Publican and the Matriarch." In Mixed-Occupancy Housing in London, 91–119. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74678-4_4.

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Messer, Kirsten. "Second Order Self-Adjoint Equations with Mixed Derivatives." In Advances in Dynamic Equations on Time Scales, 85–116. Boston, MA: Birkhäuser Boston, 2003. http://dx.doi.org/10.1007/978-0-8176-8230-9_4.

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Denk, Robert, and Mario Kaip. "The Newton polygon approach for mixed-order systems." In General Parabolic Mixed Order Systems in Lp and Applications, 69–141. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02000-6_3.

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Cangiani, Andrea, Zhaonan Dong, Emmanuil H. Georgoulis, and Paul Houston. "DGFEMs for Second-Order PDEs of Mixed-Type." In hp-Version Discontinuous Galerkin Methods on Polygonal and Polyhedral Meshes, 57–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67673-9_5.

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Li, Wanai. "Mixed Element and Curved Boundary Treatment." In Efficient Implementation of High-Order Accurate Numerical Methods on Unstructured Grids, 93–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43432-1_4.

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Hryniv, R., A. Shkalikov, and A. Vladimirov. "Differential Operator Matrices of Mixed Order with Periodic Coefficients." In Differential Operators and Related Topics, 155–64. Basel: Birkhäuser Basel, 2000. http://dx.doi.org/10.1007/978-3-0348-8403-7_13.

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Conference papers on the topic "Mixed Order"

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Hacker, Patrick, and Bin Yang. "Mixed-order and higher-order ambiguity functions." In 2011 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2011. http://dx.doi.org/10.1109/ivs.2011.5940578.

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Satakshi, S. Mukherjee, and R. C. Mittal. "Order reduction using mixed method." In IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics. IEEE, 2012. http://dx.doi.org/10.1109/iecon.2012.6388870.

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Karman, Steve L. "Mixed-Order Curving for Viscous Meshes." In AIAA Aviation 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-3317.

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Baran, Ilya, Johannes Schmid, Thomas Siegrist, Markus Gross, and Robert W. Sumner. "Mixed-order compositing for 3D paintings." In the 2011 SIGGRAPH Asia Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2024156.2024166.

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Verma, Preeti, Pradeep Kr Juneja, and Mayank Chaturvedi. "Various Mixed Approaches of Model Order Reduction." In 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2016. http://dx.doi.org/10.1109/cicn.2016.138.

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Schwardt, Ludwig, and Johan du Preez. "Efficient mixed-order hidden Markov model inference." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA: ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-253.

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Ibrir, Salim. "The mixed H2/H∞ model-order reduction." In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2017. http://dx.doi.org/10.1109/iecon.2017.8216861.

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Maghari, N., S. Kwon, G. C. Temes, and U. Moon. "Mixed-Order Sturdy MASH Δ-Σ Modulator." In 2007 IEEE International Symposium on Circuits and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iscas.2007.378384.

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Nomura, Ryo, and Te Sun Han. "Second-order Slepian-Wolf coding theorems for non-mixed and mixed sources." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620571.

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Kartci, Aslihan, Agamyrat Agambayev, Norbert Herencsar, and Khaled N. Salama. "Analysis and Verification of Identical-Order Mixed-Matrix Fractional-Order Capacitor Networks." In 2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME). IEEE, 2018. http://dx.doi.org/10.1109/prime.2018.8430316.

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Reports on the topic "Mixed Order"

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Messer, Kirsten R. The Second-Order Self-Adjoint Equation With Mixed Derivatives. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada406708.

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White, D., M. Stowell, J. Koning, R. Rieben, A. Fisher, N. Champagne, and N. Madsen. Higher-Order Mixed Finite Element Methods for Time Domain Electromagnetics. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/15014733.

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Iaroshenko, Oleksandr, Vitaliy Gyrya, and Gianmarco Manzini. Arbitrary Order Mixed Mimetic Finite Differences Method with Nodal Degrees of Freedom. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1321697.

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Cendes, Z. J., D. Hudak, and D. Sun. Mixed-Order Finite Elements for the Solution of Three-Dimensional Electromagnetic Fields. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada164786.

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Spillman, Mark S., and D. B. Ridgely. A Fixed-Order, Mixed H2/L1 Control Synthesis Method for Continuous Linear Systems,. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada320240.

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Scholnik, Dan P., and Jeffrey O. Coleman. Second-Order Cone Formulations of Mixed-Norm Error Constraints for FIR Filter Optimization. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada523252.

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Sutton, Michael A., Xiaomin Deng, and Anthony Reynolds. Crack Growth and Stress Intensity Prediction Techniques. Delivery Order 0027-1: Mixed Mode Failure Criteria. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada460082.

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Cobb, J. W. Third-order-accurate numerical methods for efficient, large time-step solutions of mixed linear and nonlinear problems. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/29360.

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Kholoshyn, Ihor, Svitlana Mantulenko, Accola Sharon Joyce, Daniel Sherick, Talgat Uvaliev, and Victoria Vedmitska. Geography of agricultural exports from Ukraine. EDP Sciences, June 2021. http://dx.doi.org/10.31812/123456789/4618.

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Based on the generalization and systematization of scientific and accounting data, the article considers agriculture as one of the leading sectors of the Ukrainian economy, providing 50% of foreign exchange earnings from exports of all goods from the country. The structure and geography of agricultural exports from Ukraine are analyzed. The existing export potential of the studied sector of the national economy and the level of self-sufficiency of Ukraine in agri-food products are revealed. Four specialization types of agricultural exports from Ukrainian regions are established: areas with dominance in export of animal origin products; areas with a dominance in the export of plant products; areas with a predominance in the export of animal or vegetable origin fats and oils; area, with mixed export specialization. Recommendations for the re-profiling of agricultural production in a number of the country’s regions in order to increase exports of this product type.
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Kholoshyn, Ihor, Svitlana Mantulenko, Accola Sharon Joyce, Daniel Sherick, Talgat Uvaliev, and Victoria Vedmitska. Geography of agricultural exports from Ukraine. EDP Sciences, June 2021. http://dx.doi.org/10.31812/123456789/4618.

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Based on the generalization and systematization of scientific and accounting data, the article considers agriculture as one of the leading sectors of the Ukrainian economy, providing 50% of foreign exchange earnings from exports of all goods from the country. The structure and geography of agricultural exports from Ukraine are analyzed. The existing export potential of the studied sector of the national economy and the level of self-sufficiency of Ukraine in agri-food products are revealed. Four specialization types of agricultural exports from Ukrainian regions are established: areas with dominance in export of animal origin products; areas with a dominance in the export of plant products; areas with a predominance in the export of animal or vegetable origin fats and oils; area, with mixed export specialization. Recommendations for the re-profiling of agricultural production in a number of the country’s regions in order to increase exports of this product type.
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