Relevant bibliographies by topics / Distributed computation systems

Contents

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

Academic literature on the topic 'Distributed computation systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Distributed computation systems"

1

Wang, Jinchang, and Thomas Kaempke. "Shortest route computation in distributed systems." Computers & Operations Research 31, no. 10 (2004): 1621–33. http://dx.doi.org/10.1016/s0305-0548(03)00111-4.

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Wang, Qing, Shengyi Ji, Peng Peng, Mingdao Li, Ping Huang, and Zheng Qin. "Optimizing Distance Computation in Distributed Graph Systems." IEEE Access 8 (2020): 191673–82. http://dx.doi.org/10.1109/access.2020.3032727.

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Ahuja, Mohan, and Shivakant Mishra. "Units of Computation in Fault-Tolerant Distributed Systems." Journal of Parallel and Distributed Computing 40, no. 2 (1997): 194–209. http://dx.doi.org/10.1006/jpdc.1996.1277.

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Evtushenko, Yuri. "Computation of exact gradients in distributed dynamic systems." Optimization Methods and Software 9, no. 1-3 (1998): 45–75. http://dx.doi.org/10.1080/10556789808805686.

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CAMPBELL, EARL T., and JOSEPH FITZSIMONS. "AN INTRODUCTION TO ONE-WAY QUANTUM COMPUTING IN DISTRIBUTED ARCHITECTURES." International Journal of Quantum Information 08, no. 01n02 (2010): 219–58. http://dx.doi.org/10.1142/s0219749910006198.

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This review provides a gentle introduction to one-way quantum computing in distributed architectures. One-way quantum computation shows significant promise as a computational model for distributed systems, particularly those architectures which rely on probabilistic entangling operations. We review the theoretical underpinnings of one-way quantum computation and discuss the practical issues related to exploiting the one-way model in distributed architectures.
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Huberman, Bernardo A., and Tad Hogg. "Distributed Computation as an Economic System." Journal of Economic Perspectives 9, no. 1 (1995): 141–52. http://dx.doi.org/10.1257/jep.9.1.141.

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As computer networks grow and blanket the planet, they become a community of concurrent processes, which, in their interactions, strategies, and lack of perfect knowledge, become analogous to human market economies. Economics may thus offer new ways of designing and understanding the behavior of distributed computer systems.
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Chiang, Chia-Chu, and Roger Lee. "Coordination Languages and Models for Open Distributed Systems." International Journal of Software Innovation 1, no. 1 (2013): 1–13. http://dx.doi.org/10.4018/ijsi.2013010101.

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Programming open distributed systems will be of rapidly growing importance in the coming decades to the scientists and engineers that will be using these techniques to solve society’s most pressing problems. Even today, the authors see a growing number of critical applications such as MRI spin relaxometry, gene sequence analysis, climate modeling, and molecular modeling of potential bioactive compounds that require massive amounts of computation. The demands for intensive computational power will only grow in the future, as society tackles more complex problems. Existing concurrent programming
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Boldrin, Fabio, Chiara Taddia, and Gianluca Mazzini. "Web Distributed Computing Systems Implementation and Modeling." International Journal of Adaptive, Resilient and Autonomic Systems 1, no. 1 (2010): 75–91. http://dx.doi.org/10.4018/jaras.2010071705.

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This article proposes a new approach for distributed computing. The main novelty consists in the exploitation of Web browsers as clients, thanks to the availability of JavaScript, AJAX and Flex. The described solution has two main advantages: it is client-free, so no additional programs have to be installed to perform the computation, and it requires low CPU usage, so client-side computation is no invasive for users. The solution is developed using both AJAX and Adobe®Flex® technologies embedding a pseudo-client into a Web page that hosts the computation. While users browse the hosting Web pag
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Oh, HyungSeon. "Distributed optimal power flow." PLOS ONE 16, no. 6 (2021): e0251948. http://dx.doi.org/10.1371/journal.pone.0251948.

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Objective The objectives of this paper are to 1) construct a new network model compatible with distributed computation, 2) construct the full optimal power flow (OPF) in a distributed fashion so that an effective, non-inferior solution can be found, and 3) develop a scalable algorithm that guarantees the convergence to a local minimum. Existing challenges Due to the nonconvexity of the problem, the search for a solution to OPF problems is not scalable, which makes the OPF highly limited for the system operation of large-scale real-world power grids—“the curse of dimensionality”. The recent att
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Hendrickx, Julien M., Alex Olshevsky, and John N. Tsitsiklis. "Distributed Anonymous Discrete Function Computation." IEEE Transactions on Automatic Control 56, no. 10 (2011): 2276–89. http://dx.doi.org/10.1109/tac.2011.2163874.

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Dissertations / Theses on the topic "Distributed computation systems"

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Costello, Zachary Kohl. "Distributed computation in networked systems." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54924.

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The objective of this thesis is to develop a theoretical understanding of computation in networked dynamical systems and demonstrate practical applications supported by the theory. We are interested in understanding how networks of locally interacting agents can be controlled to compute arbitrary functions of the initial node states. In other words, can a dynamical networked system be made to behave like a computer? In this thesis, we take steps towards answering this question with a particular model class for distributed, networked systems which can be made to compute linear transformations.
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Yao, Lisha. "Distributed Consensus, Optimization and Computation in Networked Systems." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404555/.

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In the first part of this thesis, we propose a distributed consensus algorithm under multi-layer multi-group structure with communication time delays. It is proven that the consensus will be achieved in both time-varying and fixed communication delays. In the second part, we study the distributed optimization problem with a finite-time mechanism. It is shown that our distributed proportional-integral algorithm can exponentially converge to the unique global minimizer when the gain parameters satisfy the sufficient conditions. Moreover, we equip the proposed algorithm with a decentralized algor
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Hsieh, Wilson Cheng-Yi. "Dynamic computation migration in distributed shared memory systems." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36635.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Vita.<br>Includes bibliographical references (p. 123-131).<br>by Wilson Cheng-Yi Hsieh.<br>Ph.D.
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Wang, Zhaohong. "Information-Theoretic Secure Outsourced Computation in Distributed Systems." UKnowledge, 2016. http://uknowledge.uky.edu/ece_etds/88.

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Secure multi-party computation (secure MPC) has been established as the de facto paradigm for protecting privacy in distributed computation. One of the earliest secure MPC primitives is the Shamir's secret sharing (SSS) scheme. SSS has many advantages over other popular secure MPC primitives like garbled circuits (GC) -- it provides information-theoretic security guarantee, requires no complex long-integer operations, and often leads to more efficient protocols. Nonetheless, SSS receives less attention in the signal processing community because SSS requires a larger number of honest participan
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Knight, Jon. "Supporting distributed computation over wide area gigabit networks." Thesis, Loughborough University, 1995. https://dspace.lboro.ac.uk/2134/7329.

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The advent of high bandwidth fibre optic links that may be used over very large distances has lead to much research and development in the field of wide area gigabit networking. One problem that needs to be addressed is how loosely coupled distributed systems may be built over these links, allowing many computers worldwide to take part in complex calculations in order to solve "Grand Challenge" problems. The research conducted as part of this PhD has looked at the practicality of implementing a communication mechanism proposed by Craig Partridge called Late-binding Remote Procedure Calls (LbRP
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Dong, Renren. "Secure multiparty computation." Bowling Green, Ohio : Bowling Green State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1241807339.

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Park, Young-Saeng. "Automatic schedule computation for distributed real-time systems using timed automata." Thesis, Northumbria University, 2008. http://nrl.northumbria.ac.uk/745/.

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The time-triggered architecture is becoming accepted as a means of implementing scalable, safer and more reliable solutions for distributed real-time systems. In such systems, the execution of distributed software components and the communication of messages between them take place in a fixed pattern and are scheduled in advance within a given scheduling round by a global scheduling policy. The principal obstacle in the design of time-triggered systems is the difficulty of finding the static schedule for all resources which satisfies constraints on the activities within the scheduling round, s
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Beattie, Bridget Joan Healy. "The use of libraries for numerical computation in distributed memory MIMD systems." Thesis, University of Liverpool, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266172.

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Bedasse, Dwight Samuel. "An Efficient Computation of Convex Closure on Abstract Events." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/807.

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The behaviour of distributed applications can be modeled as the occurrence of events and how these events relate to each other. Event data collected according to this event model can be visualized using process-time diagrams that are constructed from a collection of traces and events. One of the main characteristics of a distributed system is the large number of events that are involved, especially in practical situations. This large number of events, and hence large process-time diagrams, make distributed-system observation difficult for the user. However, event-predicate detection, a
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Hong, Chao, and 洪潮. "Parallel processing in power systems computation on a distributed memory message passing multicomputer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3124032X.

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Books on the topic "Distributed computation systems"

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Actors: A model of concurrent computation in distributed systems. MIT Press, 1986.

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Lizier, Joseph T. The Local Information Dynamics of Distributed Computation in Complex Systems. Springer Berlin Heidelberg, 2013.

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Lizier, Joseph T. The Local Information Dynamics of Distributed Computation in Complex Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32952-4.

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1962-, Yao Xin, ed. Parallel problem solving from nature--PPSN VIII: 8th international conference, Birmingham, UK, September 18-22, 2004 : proceedings. Springer, 2004.

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Balakrishnan, A. V. Application of optical distributed sensing and computation to control of large space structures: Final technical report on NASA grant, NAG 11-1074. National Aeronautics and Space Administration, 1992.

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Olariu, Stephan, G. Conte, Denis Caromel, et al. Parallel and Distributed Processing: 11th IPPS/SPDP99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing San Juan, Puerto Rico, USA, April 1216, 1999 Proceedings. Springer-Verlag, 1999.

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Tomasz, Szepieniec, Wiatr Kazimierz, and SpringerLink (Online service), eds. Building a National Distributed e-Infrastructure–PL-Grid: Scientific and Technical Achievements. Springer Berlin Heidelberg, 2012.

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Nicola, Rocco. Coordination Models and Languages: 15th International Conference, COORDINATION 2013, Held as Part of the 8th International Federated Conference on Distributed Computing Techniques, DisCoTec 2013, Florence, Italy, June 3-5, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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Burns, John A. Computational methods for control of distributed parameter systems. ICASE, 1986.

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Mota, Gilberto Ferreira. Radar data processing using a distributed computational system. Naval Postgraduate School, 1992.

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Book chapters on the topic "Distributed computation systems"

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Garg, Vijay K. "Computation." In Principles of Distributed Systems. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1321-2_11.

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Gifford, David K. "Communication Models for Distributed Computation." In Distributed Operating Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-46604-5_5.

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Sijstermans, Frans. "Backpropagation on Distributed Memory Systems." In Software for Parallel Computation. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-58049-9_17.

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Bellatreche, Ladjel, and Ana Simonet. "Horizontal fragmentation in distributed object database systems." In Parallel Computation. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61695-0_22.

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Chapman, Barbara M., and Heinz M. Herbeck. "Knowledge-based parallelization for distributed memory systems." In Parallel Computation. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55437-8_72.

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Willems, Jan C., and Harish K. Pillai. "Dissipative Distributed Systems." In Mathematical Systems Theory in Biology, Communications, Computation, and Finance. Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21696-6_17.

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Horváth, Zoltán, Zoltán Hernyák, Tamás Kozsik, Máté Tejfel, and Attila Ulbert. "A Data Intensive Computation on a Cluster." In Distributed and Parallel Systems. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1167-0_6.

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Rozoy, Brigitte. "On distributed languages and models for distributed computation." In Semantics of Systems of Concurrent Processes. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-53479-2_19.

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Štula, Maja, Darko Stipaničev, and Ljiljana Šerić. "Multi-Agent Systems in Distributed Computation." In Agent and Multi-Agent Systems. Technologies and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30947-2_68.

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Lizier, Joseph T. "Computation in Complex Systems." In The Local Information Dynamics of Distributed Computation in Complex Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32952-4_2.

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Conference papers on the topic "Distributed computation systems"

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Brun, Yuriy, George Edwards, Jae Young Bang, and Nenad Medvidovic. "Smart Redundancy for Distributed Computation." In 2011 31st International Conference on Distributed Computing Systems (ICDCS). IEEE, 2011. http://dx.doi.org/10.1109/icdcs.2011.25.

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Kredel, Heinz. "Distributed Parallel Groebner Bases Computation." In 2009 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS). IEEE, 2009. http://dx.doi.org/10.1109/cisis.2009.109.

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Aikebaier, Ailixier, Yan Yang, Tomoya Enokido, and Makoto Takizawa. "Energy-Efficient Computation Models for Distributed Systems." In 2009 International Conference on Network-Based Information Systems (NBIS). IEEE, 2009. http://dx.doi.org/10.1109/nbis.2009.61.

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Perev, Kamen. "Gramians Computation for Parabolic Distributed Parameter Systems." In 2020 International Conference Automatics and Informatics (ICAI). IEEE, 2020. http://dx.doi.org/10.1109/icai50593.2020.9311323.

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Williams, Keith A. "Dynamic System Simulation Using Distributed Computation Hardware." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9212.

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The availability of low-cost, readily programmable digital hardware offers numerous opportunities for novel modeling and control approaches. One such opportunity is the realization of hardware modeling of distributed dynamic systems. Such models could be useful for control algorithms that require high-fidelity models operating in real-time. The ultimate goal is to utilize digital systems with programmable hardware. As a proof-of-concept, multiple discrete microcontrollers have been used to emulate how programmable hardware devices may be used to simulate a distributed vibrating system. Specifi
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Ochoa, Daniel E., Jorge I. Poveda, and César A. Uribe. "Computation-aware distributed optimization over networks." In CPS-IoT Week '21: Cyber-Physical Systems and Internet of Things Week 2021. ACM, 2021. http://dx.doi.org/10.1145/3457335.3461710.

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Tsuchiya, Takeshi, Hiroaki Sawano, Hirokazu Yoshinaga, and Keiichi Koyanagi. "Streaming Management Platform for Distributed Camera Systems." In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (COMPUTATIONWORLD). IEEE, 2009. http://dx.doi.org/10.1109/computationworld.2009.64.

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Ashokkumar, C. R., Will Curtis, and Robert Murphey. "Formation Control of Distributed Systems: Computation Versus Cooperation." In 2nd AIAA "Unmanned Unlimited" Conf. and Workshop & Exhibit. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-6621.

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Yang, Qi. "Computation of chain queries in distributed database systems." In the 22nd annual ACM computer science conference. ACM Press, 1994. http://dx.doi.org/10.1145/197530.197650.

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Leonardos, Spyridon, Victor Preciado, and Kostas Daniilidis. "A dynamical systems approach to distributed eigenvector computation." In 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, 2017. http://dx.doi.org/10.1109/cdc.2017.8263972.

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Reports on the topic "Distributed computation systems"

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Smith, Bradley W. Distributed Computing for Signal Processing: Modeling of Asynchronous Parallel Computation. Appendix G. On the Design and Modeling of Special Purpose Parallel Processing Systems. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada167622.

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Banks, H. T. Computational Methods for Control and Estimation of Distributed System. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada204640.

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Kevrekidis, Ioannis G. Enabling-Dynamic Simulators: Stability, Bifurcation and Control Computations for Distributed Parameter Systems. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405411.

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Lasiecka, I., and R. Triggiani. Control and Stabilization of Distributed Parameter Systems; Theoretical and Computational Aspects. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada277239.

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Rosen, I. G. Approximation Theory and Computational Methods for the Identification and Control of Distributed Parameter Systems. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada277335.

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Riveros, Guillermo, Felipe Acosta, Reena Patel, and Wayne Hodo. Computational mechanics of the paddlefish rostrum. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41860.

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Purpose – The rostrum of a paddlefish provides hydrodynamic stability during feeding process in addition to detect the food using receptors that are randomly distributed in the rostrum. The exterior tissue of the rostrum covers the cartilage that surrounds the bones forming interlocking star shaped bones. Design/methodology/approach – The aim of this work is to assess the mechanical behavior of four finite element models varying the type of formulation as follows: linear-reduced integration, linear-full integration, quadratic-reduced integration and quadratic-full integration. Also presented i
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Patel, Reena, David Thompson, Guillermo Riveros, Wayne Hodo, John Peters, and Felipe Acosta. Dimensional analysis of structural response in complex biological structures. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41082.

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The solution to many engineering problems is obtained through the combination of analytical, computational and experimental methods. In many cases, cost or size constraints limit testing of full-scale articles. Similitude allows observations made in the laboratory to be used to extrapolate the behavior to full-scale system by establishing relationships between the results obtained in a scaled experiment and those anticipated for the full-scale prototype. This paper describes the application of the Buckingham Pi theorem to develop a set of non-dimensional parameters that are appropriate for des
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