Academic literature on the topic 'Complex Structural Models'
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Journal articles on the topic "Complex Structural Models"
Dupont, B., E. Pillet, and S. Cogan. "Superelement Verification in Complex Structural Models." Shock and Vibration 15, no. 3-4 (2008): 369–81. http://dx.doi.org/10.1155/2008/237124.
Full textCapiluppi, Marta, and Marcel Staroswiecki. "FROM STRUCTURAL TO FUNCTIONAL MODELS OF COMPLEX SYSTEMS." IFAC Proceedings Volumes 39, no. 13 (2006): 1276–81. http://dx.doi.org/10.3182/20060829-4-cn-2909.00213.
Full textDUCROT, ARNAUD. "STRUCTURAL STABILITY OF COMBUSTION MODELS WITH COMPLEX CHEMISTRY." Mathematical Models and Methods in Applied Sciences 16, no. 06 (June 2006): 793–817. http://dx.doi.org/10.1142/s0218202506001352.
Full textPreacher, Kristopher J. "Testing Complex Correlational Hypotheses With Structural Equation Models." Structural Equation Modeling: A Multidisciplinary Journal 13, no. 4 (December 2006): 520–43. http://dx.doi.org/10.1207/s15328007sem1304_2.
Full textWang, Chao, Li Wan, Tifan Xiong, Yuanlong Xie, Shuting Wang, Jianwan Ding, and Liping Chen. "Hierarchical Structural Analysis Method for Complex Equation-Oriented Models." Mathematics 9, no. 21 (October 21, 2021): 2660. http://dx.doi.org/10.3390/math9212660.
Full textL.V., Ponomarova. "STRUCTURAL MODELS OF COMPLEX TERMS IN INSTITUTIONALLY LEGAL DISCOURSE." South archive (philological sciences), no. 86 (June 29, 2021): 34–37. http://dx.doi.org/10.32999/ksu2663-2691/2021-86-5.
Full textVILLACAMPA, Y., and J. L. USO-DOMENECH. "MATHEMATICAL MODELS OF COMPLEX STRUCTURAL SYSTEMS. A LINGUISTIC VISION." International Journal of General Systems 28, no. 1 (June 1999): 37–52. http://dx.doi.org/10.1080/03081079908935228.
Full textAutin, Ludovic, Mårten Steen, Björn Dahlbäck, and Bruno O. Villoutreix. "Proposed structural models of the prothrombinase (FXa-FVa) complex." Proteins: Structure, Function, and Bioinformatics 63, no. 3 (January 25, 2006): 440–50. http://dx.doi.org/10.1002/prot.20848.
Full textWilson, Sandra Jo, Joshua R. Polanin, and Mark W. Lipsey. "Fitting meta-analytic structural equation models with complex datasets." Research Synthesis Methods 7, no. 2 (June 2016): 121–39. http://dx.doi.org/10.1002/jrsm.1199.
Full textUrbina, Angel, and Thomas Paez. "Probabilistic Numerical Analysis of Large, Complex, Structural Dynamic System Models." Journal of the IEST 46, no. 1 (September 14, 2003): 119–27. http://dx.doi.org/10.17764/jiet.46.1.p3k33743858u56hx.
Full textDissertations / Theses on the topic "Complex Structural Models"
PAFUNDI, PIA CLARA. "SPECIFICATION AND ESTIMATION OF COMPLEX STRUCTURAL MODELS WITH COVARIATE EFFECTS." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/54182.
Full textAbdullah, Aslam. "Quantifying guidelines and criteria for using turbulence models in complex flows." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7454.
Full textChauvet, Jocelyn. "Introducing complex dependency structures into supervised components-based models." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS008/document.
Full textHigh redundancy of explanatory variables results in identification troubles and a severe lack of stability of regression model estimates. Even when estimation is possible, a consequence is the near-impossibility to interpret the results. It is then necessary to combine its likelihood with an extra-criterion regularising the estimates. In the wake of PLS regression, the regularising strategy considered in this thesis is based on extracting supervised components. Such orthogonal components must not only capture the structural information of the explanatory variables, but also predict as well as possible the response variables, which can be of various types (continuous or discrete, quantitative, ordinal or nominal). Regression on supervised components was developed for multivariate GLMs, but so far concerned models with independent observations.However, in many situations, the observations are grouped. We propose an extension of the method to multivariate GLMMs, in which within-group correlations are modelled with random effects. At each step of Schall's algorithm for GLMM estimation, we regularise the model by extracting components that maximise a trade-off between goodness-of-fit and structural relevance. Compared to penalty-based regularisation methods such as ridge or LASSO, we show on simulated data that our method not only reveals the important explanatory dimensions for all responses, but often gives a better prediction too. The method is also assessed on real data.We finally develop regularisation methods in the specific context of panel data (involving repeated measures on several individuals at the same time-points). Two random effects are introduced: the first one models the dependence of measures related to the same individual, while the second one models a time-specific effect (thus having a certain inertia) shared by all the individuals. For Gaussian responses, we first propose an EM algorithm to maximise the likelihood penalised by the L2-norm of the regression coefficients. Then, we propose an alternative which rather gives a bonus to the "strongest" directions in the explanatory subspace. An extension of these approaches is also proposed for non-Gaussian data, and comparative tests are carried out on Poisson data
Hang, Huajiang Engineering & Information Technology Australian Defence Force Academy UNSW. "Prediction of the effects of distributed structural modification on the dynamic response of structures." Awarded by:University of New South Wales - Australian Defence Force Academy. Engineering & Information Technology, 2009. http://handle.unsw.edu.au/1959.4/44275.
Full textHinojosa-Prieto, Hector R. "Tectonothermal history of the La Noria-Las Calaveras region, Acatlán Complex, southern Mexico implications for Paleozoic tectonic models /." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1151434573.
Full textGrundmeier, Alexander Peter [Verfasser]. "The water-oxidizing manganese complex of oxygenic photosynthesis : structural models based on X-ray absorption spectroscopy / Alexander Peter Grundmeier." Berlin : Freie Universität Berlin, 2012. http://d-nb.info/1026883717/34.
Full textAmeen, Masood, and Mini Jacob. "Complexity in Projects : A Study of Practitioners’ Understanding of Complexity in Relation to ExistingTheoretical Models." Thesis, Umeå University, Umeå School of Business, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-18376.
Full textIn the last three decades, complexity theory has gained a lot of importance in several scientific disciplines like astronomy, geology, chemistry etc. It has slowly extended its usage in the field of project management. While trying to understand the managerial demands of modern day projects and the different situations faced in projects, the term ‘complexity’ is progressively becoming a benchmark term. In the recent past some of the challenging projects that have been completed are the Heathrow Terminal 5 and the construction of venues for the Beijing Olympics. But can we call these projects complex?It is probably too simplistic to classify projects as complex or non-complex. What is particularly important is to identify the source of the complexity, the level and also the implications of the complexity. Several academicians have studied the different dimensions and established different classifications of complexity. These are put together into models of complexity.But is this classification well-grounded in reality? This is what we aim to explore through this research. The specific questions that we wish to explore by conducting this research are:
- How does the understanding of project complexity in actuality conform to the theoretical complexity models?
In an effort to answer the primary question, our study will also throw some light on factors of complexity across different sectors. We hope that this distinction will pave way for further research within these sectors. This now brings us to our sub-question:- How do the factors that contribute to complexity compare across different sectors?At the outset of this research, the literature on complexity was reviewed. An attempt was made to understand what complexity means with a focus on the field of project management.It was observed that there is a new wave of thinking in this field and a camp which believes that regular project management tools and techniques cannot be used for complex projects.
This has drawn several academicians to generate models of complexity based on various factors. In this research we have focused on some important models like that of Turner and Cochrane, Ralph Stacey, Terry Williams, Kahane and Remington and Pollack. We have tried to see if any of these models fit in with how practitioners understand complexity.To find out how practitioners comprehend complexity, we followed a grounded theory approach and also used quantitative methods to supplement the results in accordance in a mixed methodology. Semi-structured interviews were carried out with nine project managers from different sectors and different geographical locations. The interviews were analyzed and the data was broken down to different categories referred to as open coding where labelling was done. This was followed by Axial coding where we describe the properties and build relations between these categories. The final stage is selective coding where the emerged theory is integrated and refined.Quantitative data was collected through a short questionnaire which listed out some factors which could cause or lead to complexity in projects. A total of 29 responses were obtained for the questionnaires. By analyzing this data we were able to determine the factors that project managers thought caused complexity in projects. A new dimension was also added by analyzing it sector-wise. Since we collected data from two different sources, via interviews and through questionnaires, it gave us the opportunity to triangulate the findings. Wesincerely hope that this piece of work will pave way for future research on similar areas like models of complexity and perception of complexity in project management
Estienne, Jacques. "Des halogènes dans les édifices moléculaires étioniques : études cristallographiques, corrélations structure-réactivité, structure-conductivité, modèles structuraux." Aix-Marseille 1, 1986. http://www.theses.fr/1986AIX11001.
Full textSun, Daning. "Structured policies for complex production and inventory models." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/31002.
Full textBusiness, Sauder School of
Graduate
Sele, Céleste. "Caractérisation structurale des interactions moléculaires au sein du complexe de réplication du virus de la vaccine." Thesis, Grenoble, 2011. http://www.theses.fr/2011GRENV085.
Full textVaccinia virus (VACV) is a large DNA virus, prototypic virus of the orthopoxvirus genus, and shows over 97% amino acid sequence identity with the variola virus (VARV), a major human pathogene eradicated in 1977 thanks to the universal vaccination program with VACV. As this vaccination was halted in the 1980s, a significant percentage of the world population is now immunologically naïve, which makes the VARV a potent bioterrorist agent. Vaccination against smallpox may result in a variety of complications, particularly in immunologically depressed patients, and the available antiviral therapeutics are rare, which enhance the need of new molecules. The replication complex appears as an ideal target because of its importance in the viral cycle and its cytoplasmic localization, more accessible for the molecules. We have focused our study on 4 essential proteins of this complex: the DNA polymerase E9, the processivity factor composed by the A20 protein and the uracil DNA glycosylase D4 and the helicase-primase D5. We could express these recombinant proteins, alone and in complex, and characterize them biochemically and biophysically. Using the SAXS technic, we finally reached a low resolution model of the A20D4E9 complex which allow us to propose the first structural model of the vaccinia virus replication fork
Books on the topic "Complex Structural Models"
Simple models of complex nuclei: The shell model and interacting boson model. Chur, Switzerland: Harwood Academic Publishers, 1993.
Find full textG, Chen. Fundamentals of complex networks: Models, structures, and dynamics. Singapore: John Wiley & Sons Inc., 2015.
Find full textLaeven, Luc. Complex ownership structures and corporate valuations. Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textLaeven, Luc. Complex ownership structures and corporate valuations. [Washington, D.C.]: International Monetary Fund, Research Dept., 2007.
Find full textPierre, Antoine Jean, and Workshop on Geometric Methods in Physics (13th : 1994 : Białowieża, Województwo Podlaskie, Poland), eds. Quantization, coherent states, and complex structures. New York: Plenum, 1996.
Find full textComplex manifolds and deformation of complex structures. New York: Springer-Verlag, 1986.
Find full textComplex manifolds and deformation of complex structures. New York: Springer-Verlag, 1986.
Find full text1946-, Eve Raymond A., Horsfall Sara, and Lee Mary E, eds. Chaos, complexity, and sociology: Myths, models, and theories. Thousand Oaks, Calif: Sage Publications, 1997.
Find full textKuijlaars, Arno B. J., 1963- and Mo Man Yue, eds. The Hermitian two matrix model with an even quartic potential. Providence, R.I: American Mathematical Society, 2011.
Find full textBasic structures of function field arithmetic. Berlin: Springer, 1996.
Find full textBook chapters on the topic "Complex Structural Models"
Stronge, William James, and Tongxi Yu. "More Complex Configurations." In Dynamic Models for Structural Plasticity, 191–258. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-0397-4_6.
Full textBelov, Mikhail V., and Dmitry A. Novikov. "Structural Models of Complex Activity." In Studies in Systems, Decision and Control, 61–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48610-5_3.
Full textWu, Pan, and Xin M. Tu. "Structural Functional Response Models for Complex Intervention Trials." In Statistical Causal Inferences and Their Applications in Public Health Research, 217–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41259-7_12.
Full textUrbina, Angel, and Sankaran Mahadevan. "Quantification of Aleatoric and Epistemic Uncertainty in Computational Models of Complex Systems." In Structural Dynamics, Volume 3, 519–35. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9834-7_47.
Full textKimberlain, Jon, Valerie Hayez, Jie Feng, and Mark Mirgon. "Material Models for Structural Silicone Sealant in Complex Loading." In Durability of Building and Construction Sealants and Adhesives: 7th Volume, 76–95. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2022. http://dx.doi.org/10.1520/stp163320200073.
Full textOuisse, M., and E. Foltête. "Identification of Reduced Models from Optimal Complex Eigenvectors in Structural Dynamics and Vibroacoustics." In Vibration and Structural Acoustics Analysis, 303–27. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1703-9_11.
Full textLauro, C., D. Nappo, M. G. Grassia, and R. Miele. "Method of Quantification for Qualitative Variables and their Use in the Structural Equations Models." In Classification and Multivariate Analysis for Complex Data Structures, 325–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13312-1_34.
Full textAllen, David T., and Dimitris Liguras. "Structural Models of Catalytic Cracking Chemistry: A Case Study of a Group Contribution Approach to Lumped Kinetic Modeling." In Chemical Reactions in Complex Mixtures, 101–25. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6530-3_6.
Full textHair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. "An Introduction to Structural Equation Modeling." In Classroom Companion: Business, 1–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7_1.
Full textGrundmeier, Alexander, Paola Loja, Michael Haumann, and Holger Dau. "The Manganese Complex of Photosystem II: Extended-Range EXAFS Data and Specific Structural Models for Four S-States." In Photosynthesis. Energy from the Sun, 405–8. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6709-9_91.
Full textConference papers on the topic "Complex Structural Models"
Mikheev, M. Yu, T. V. Zhashkova, A. B. Shcherban, A. K. Grishko, and I. M. Rybakov. "Generalized structural models of complex distributed objects." In 2016 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2016. http://dx.doi.org/10.1109/ewdts.2016.7807742.
Full textGordon, Robert, and Joseph Hollkamp. "Coupled Structural-Acoustic Response Prediction with Complex Modal Models." In 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-2307.
Full textWang, X. Q., Ricardo A. Perez, and Marc P. Mignolet. "Nonlinear Reduced Order Modeling of Complex Wing Models." In 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-1520.
Full textRussell, Steven G. "Complex Potential Stress Field Models for Damage Evaluation in Composites." In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1472.
Full textSouche, L., F. Lepage, and G. Iskenova. "Volume Based Modeling - Automated Construction of Complex Structural Models." In 75th EAGE Conference and Exhibition incorporating SPE EUROPEC 2013. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20130037.
Full textGorbachov, Valeriy, Abdulrahman Kataeba Batiaa, Olha Ponomarenko, and Yuri Romanenkov. "Formal transformations of structural models of complex network systems." In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2018. http://dx.doi.org/10.1109/dessert.2018.8409175.
Full textHollkamp, Joseph J., and Patrick J. O'Hara. "Using Complex Variables to Estimate the Derivatives of Nonlinear Reduced-Order Models." In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1707.
Full textCapra, Lorenzo. "Applying Structural Techniques for Efficient Analysis of Complex SWN Models." In Proceedings. Eighth International Workshop on Discrete Event Systems. IEEE, 2006. http://dx.doi.org/10.1109/wodes.2006.382529.
Full textJensen, H. A., A. Muñoz, and E. Millas. "THE USE OF MODEL REDUCTION TECHNIQUES IN COMPLEX SIMULATION-BASED PROBLEMS INVOLVING FINITE ELEMENT MODELS." In 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2015. http://dx.doi.org/10.7712/120115.3376.1367.
Full textNazarevich, S. A. "BIHEVIORISTIC MODELS OF ORGANIZATIONAL AND TECHNOLOGICAL RELIABILITY." In MODELING AND SITUATIONAL MANAGEMENT THE QUALITY OF COMPLEX SYSTEMS. Saint Petersburg State University of Aerospace Instrumentation, 2021. http://dx.doi.org/10.31799/978-5-8088-1558-2-2021-2-143-145.
Full textReports on the topic "Complex Structural Models"
Wozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging, British Columbia and Alberta. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328850.
Full textRiveros, Guillermo, Felipe Acosta, Reena Patel, and Wayne Hodo. Computational mechanics of the paddlefish rostrum. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41860.
Full textAnsari, S. M., E. M. Schetselaar, and J. A. Craven. Three-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328003.
Full textNechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.
Full textMakarenko, S. I., and K. V. Ushanev. Program imitating model of formation of a traffic of complex structure. Science and Innovation Center Publishing House, 2017. http://dx.doi.org/10.12731/ofernio.2014.20514.
Full textMontville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.
Full textBaader, Franz, and Felix Distel. A finite basis for the set of EL-implications holding in a finite model. Technische Universität Dresden, 2007. http://dx.doi.org/10.25368/2022.160.
Full textRadnell, David. A Complex Structure on the Moduli Space of Rigged Riemann Surfaces. Journal of Geometry and Symmetry in Physics, 2012. http://dx.doi.org/10.7546/jgsp-5-2006-82-94.
Full textBalat, Jorge, Juan Esteban Carranza, Juan David Martin, and Álvaro Riascos. El efecto de cambios en la regulación del mercado mayorista de electricidad en Colombia en un modelo estructural de subastas complejas. Banco de la República, October 2022. http://dx.doi.org/10.32468/be.1211.
Full textBaumann, William T., Richard L. Moose, Hugh F. VanLandigham, Mauro J. Caputi, Stephen H. Jones, and Bhaskar Gorti. Active Control of Generalized Complex Modal Structures in a Stochastic Environment. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada251910.
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