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Relevant bibliographies by topics / Problem-solving space

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Academic literature on the topic 'Problem-solving space'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Problem-solving space"

1

Glazkov, V. V., O. A. Sinkevich, and G. B. Shmelkov. "Universal Rocket Space Engine and solving the problem of space debris." Journal of Physics: Conference Series 1370 (November 2019): 012036. http://dx.doi.org/10.1088/1742-6596/1370/1/012036.

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Appleton, Ken. "Problem solving in science lessons: How students explore the problem space." Research in Science Education 25, no. 4 (1995): 383–93. http://dx.doi.org/10.1007/bf02357384.

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Polat, Faruk, and Reda Alhajj. "A multi-agent tuple-space based problem solving framework." Journal of Systems and Software 47, no. 1 (1999): 11–17. http://dx.doi.org/10.1016/s0164-1212(99)00019-9.

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Cybulski, Jacob L., Susan Keller, Lemai Nguyen, and Dilal Saundage. "Creative problem solving in digital space using visual analytics." Computers in Human Behavior 42 (January 2015): 20–35. http://dx.doi.org/10.1016/j.chb.2013.10.061.

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Inc, Mustafa, Ali Akgül, and Fazhan Geng. "Reproducing Kernel Hilbert Space Method for Solving Bratu’s Problem." Bulletin of the Malaysian Mathematical Sciences Society 38, no. 1 (2014): 271–87. http://dx.doi.org/10.1007/s40840-014-0018-8.

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Glushkov, Vitaly N., and Xavier Assfeld. "Multireference space without first solving the configuration interaction problem." Journal of Computational Chemistry 35, no. 4 (2013): 313–23. http://dx.doi.org/10.1002/jcc.23502.

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Balanev, D. J. "Space Modeling of Problem Solving Strategies of “Prisoner's Dilemma”." Sibirskiy Psikhologicheskiy Zhurnal, no. 78 (2021): 99–116. http://dx.doi.org/10.17223/17267080/78/6.

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An iterated version of the game "Prisoner's Dilemma" is used as a model of cooperation largely due to the wide range of strategies that the subjects can use. The problem of the effec-tiveness of strategies for solving the Iterated Prisoner's Dilemma (IPD) is most often considered from the point of view of information models, where strategies do not take into account the relationship that arise when real people play. Some of these strategies are obvious, others depend upon social context. In our paper, we use one of the promising directions in the development of studying IPD strategies – the us

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Margaça, F. M. A., A. N. Falcão, J. F. Salgado, and F. G. Carvalho. "Solving the problem of SANS instrument optimization." Journal of Applied Crystallography 24, no. 6 (1991): 994–98. http://dx.doi.org/10.1107/s0021889891006672.

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The problem of the optimization of small-angle neutron scattering instruments installed at steady neutron sources is discussed. The optimum solution is shown to be that in which full use is made of either the available luminous area of the source or the available hall space and not necessarily that corresponding to the equal-flight-paths design. Design criteria and their implementation are discussed taking into account space constraints on the instrument's layout. It is shown that the performance of currently operating SANS facilities can be substantially improved by following the optimization

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Cox, Sherry L. "MATHCOUNTS: The Ultimate in Problem Solving." Arithmetic Teacher 36, no. 2 (1988): 20–26. http://dx.doi.org/10.5951/at.36.2.0020.

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Mathcounts is a mathematics competition for seventh and eighth graders sponsored in part by the National Council of Teachers of Mathematics, the CNA Insurance Compani es, the Nationa l Society of Professional Engineers, the National Aeronautics and Space Administration, the General Motors Foundation, and the Cray Research Foundation. It offers students an opportunity to expand the ir appreciation of mathematics and to improve their problemsolving abi lities.

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WANG, PEI. "PROBLEM SOLVING WITH INSUFFICIENT RESOURCES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no. 05 (2004): 673–700. http://dx.doi.org/10.1142/s0218488504003144.

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A new approach, "controlled concurrency," is introduced for inference control in an adaptive reasoning system working with insufficient knowledge and resources. With this method, a problem-solving process is constructed from atomic steps in run time, according to the system's past experience and the current context. The system carries out many such processes in parallel by distributing its resources among them, and dynamically adjusting the distribution according to feedback. A data structure, "bag," is designed to support this dynamic time-space allocation, and is a kind of probabilistic prio

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Dissertations / Theses on the topic "Problem-solving space"

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Spinelli, Gabriella. "Distributed cognition : artefacts and computational space for collaborative problem-solving." Thesis, Brunel University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408926.

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Raggi, Daniel. "Searching the space of representations : reasoning through transformations for mathematical problem solving." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22936.

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The role of representation in reasoning has been long and widely regarded as crucial. It has remained one of the fundamental considerations in the design of information-processing systems and, in particular, for computer systems that reason. However, the process of change and choice of representation has struggled to achieve a status as a task for the systems themselves. Instead, it has mostly remained a responsibility for the human designers and programmers. Many mathematical problems have the characteristic of being easy to solve only after a unique choice of representation has been made. In

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DeJongh, Matthew. "Causal processes in the Problem Space Computational Model : integrating multiple representations of causal processes in abductive problem solving /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487687959968505.

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Cornett, Annette P. "Multigrid approach to solving the long transportation problem on a regular grid in cost space." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA272323.

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Gürol, Selime. "Solving regularized nonlinear least-squares problem in dual space with application to variational data assimilation." Thesis, Toulouse, INPT, 2013. http://www.theses.fr/2013INPT0040/document.

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Cette thèse étudie la méthode du gradient conjugué et la méthode de Lanczos pour la résolution de problèmes aux moindres carrés non-linéaires sous déterminés et régularisés par un terme de pénalisation quadratique. Ces problèmes résultent souvent d'une approche du maximum de vraisemblance, et impliquent un ensemble de m observations physiques et n inconnues estimées par régression non linéaire. Nous supposons ici que n est grand par rapport à m. Un tel cas se présente lorsque des champs tridimensionnels sont estimés à partir d'observations physiques, par exemple dans l'assimilation de données

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Hsu, Carolyn P. "Interactions between physical and virtual space : the influence of game environments on graphic design problem solving /." Online version of thesis, 2007. http://hdl.handle.net/1850/4843.

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Linkins, Kathy L. "Modeling the Role of Boundary Spanners-in-Practice in the Nondeterministic Model of Engineering Design Activity." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc848187/.

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Boundary spanners-in-practice are individuals who inhabit more than one social world and bring overlapping place perspectives to bear on the function(s) performed within and across each world. Different from nominated boundary spanners, they are practitioners responsible for the 'translation' of each small world's perspectives thereby increasing collaboration effectiveness to permit the small worlds to work synergistically. The literature on Knowledge Management (KM) has emphasized the organizational importance of individuals performing boundary spanning roles by resolving cross-cultural and c

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Rogers, Judith Ann. "Understanding spatial intelligence through problem-solving in art: An analysis of behaviors, processes, and products." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186422.

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Gardner (1985) defines intelligence broadly as the ability to solve problems and create products as well as to find or create new problems. He also suggests that every normal individual has the capacity to develop abilities in seven different areas or types of intelligence. Maker (1992, in press) hypothesizes that gifted individuals competently solve problems of all types, that is, problems ranging from well-defined to ill-defined. In this study of spatial intelligence, the theories of both researchers were tested. The primary purpose of the study was to describe behaviors that could be observ

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Koh, Chong Hin 1975. "Advanced aircraft seat design : solving the problem of rearward space intrusion with a sliding-out seat back." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9484.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1999.<br>Includes bibliographical references (p. 73-77).<br>An aircraft economy-class seat that reclines via a sliding-out backrest was designed, fabricated and tested for comparison with a baseline aircraft seat. The goal was to design a seat that was at least as comfortable as the baseline seat so as to demonstrate the viability of replacing the usual backwards recline feature with a sliding-out mechanism. This would solve the problems of space intrusion associated with seat recline. Three addition

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Barnholdt, Jacob, and Filip Carlsson. "Convergence Properties for Different Null Space Bases When Solving the Initial Margin Optimization Problem Using CMA-ES." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273628.

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This thesis evaluates how the evolutionary algorithm CMA-ES (Covariance Matrix Adaption Evolution Strategy) can be used for optimizing the total initial margin for a network of banks trading bilateral OTC derivatives. The algorithm is a stochastic method for optimization of non-linear and, but not limited to, non-convex functions. The algorithm searches for an optimum by generating normally distributed samples and iteratively updating the mean and covariance matrix of the search distribution using the best candidate solutions in the sampled population. In this thesis, feasible solutions are re

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Books on the topic "Problem-solving space"

1

Davidson, Patricia S. Spatial problem solving with Cuisenaire rods. ETA Cuisenaire, 2002.

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Carter, Richard G. Numerical optimization in Hilbert space using inexact function and gradient evaluations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1989.

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Space word problems starring ratios and proportions: Math word problems solved. Enslow Elementary, 2009.

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Charles, Williams. Development and qualification of alternate blowing agents for Space Shuttle External Tank Thermal Protection System. National Aeronautics and Space Administration, 1994.

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Kelvin, George V. Illustrating for science: A problem solving approach to rendering subjects in biology, chemistry, physics, astronomy, space technology, medicine, geology and architecture. Watson-Guptill, 1992.

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Perry, John G. Reusable rocket engine turbopump health management system. Rockwell International, Rocketdyne Division, 1989.

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Scandora, Julie Moss. Rules are rules. Book Publishers Network, 2008.

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Williams, L. E. Island Rose. Magic Attic Press, 1998.

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Perry, John G. Reusable rocket engine turbopump health management system. Rockwell International, Rocketdyne Division, 1989.

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Maths Problem Solving: Space. Hachette Children's Group, 2020.

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Book chapters on the topic "Problem-solving space"

1

Freksa, Christian, Maria Vasardani, and Felix Kroll. "Dynamic Problem Solving in Space." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57983-8_2.

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Zhang, Weixiong. "State-Space Search for Problem Solving." In State-Space Search. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1538-7_1.

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Sloman, Aaron. "Interacting Trajectories in Design Space and Niche Space: A Philosopher Speculates About Evolution." In Parallel Problem Solving from Nature PPSN VI. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45356-3_1.

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Christakos, George. "Space–Time and Uncertainty." In Integrative Problem-Solving in a Time of Decadence. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9890-0_4.

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Schütze, Oliver, Massimiliano Vasile, and Carlos A. Coello Coello. "Approximate Solutions in Space Mission Design." In Parallel Problem Solving from Nature – PPSN X. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87700-4_80.

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Cropley, David H. "The Space Age (1950–1981): The Science of Creativity." In Homo Problematis Solvendis–Problem-solving Man. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3101-5_11.

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Murakami, Tomoko, Ryohei Orihara, and Takehiko Yokota. "Friendly Information Retrieval through Adaptive Restructuring of Information Space." In Intelligent Problem Solving. Methodologies and Approaches. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45049-1_77.

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Greene, Kshanti A., Joe M. Kniss, and Steven S. Garcia. "Creating a Space for Collective Problem-Solving." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_102001.

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Greene, Kshanti A., Joe M. Kniss, and Steven S. Garcia. "Creating a Space for Collective Problem-Solving." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_102001.

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Greene, Kshanti A., Joe M. Kniss, and Steven S. Garcia. "Creating a Space for Collective Problem-Solving." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_102001-1.

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Conference papers on the topic "Problem-solving space"

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Huan, Xia, and Huo YongQing. "High dynamic range image fusion in HSV space." In 2016 International Conference On Communication Problem-Solving (ICCP). IEEE, 2016. http://dx.doi.org/10.1109/iccps.2016.7751115.

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Xue-zhou, Yang, and Guo Wei. "Cooperative spectrum sensing with space-time coding and relay diversity." In 2011 International Conference on Computational Problem-Solving (ICCP). IEEE, 2011. http://dx.doi.org/10.1109/iccps.2011.6089793.

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Wang, L., W. Q. Wang, Z. H. Shao, and J. Y. Cai. "A transponder-based motion compensation approach for near-space passive radars." In 2011 International Conference on Computational Problem-Solving (ICCP). IEEE, 2011. http://dx.doi.org/10.1109/iccps.2011.6092268.

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Liu, Jun-Ying, Jingye Cai, Xueyong Zhu, and Wen-Qin Wang. "On the inverse matrix of near-space elevation multi-aperture SAR imaging." In 2011 International Conference on Computational Problem-Solving (ICCP). IEEE, 2011. http://dx.doi.org/10.1109/iccps.2011.6092275.

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Cook, Rosemary, and Scott Jones. "Establishing criteria for evaluating a problem solving system." In AIAA Space 2001 Conference and Exposition. American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-4608.

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Fangzhou Guo, Lei Xia, and Ruimin Xu. "Modeling of LTCC microstrip to stripline vertical via transition exploiting space mapping technique." In 2014 IEEE International Conference on Communication Problem-Solving (ICCP). IEEE, 2014. http://dx.doi.org/10.1109/iccps.2014.7062294.

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Korff, Joshua Von, Dehui Hu, N. Sanjay Rebello, N. Sanjay Rebello, Paula V. Engelhardt, and Chandralekha Singh. "Assessment of vertical transfer in problem solving: Mapping the problem design space." In 2011 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2012. http://dx.doi.org/10.1063/1.3680074.

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Zhou, Renjie, Taewoo Kim, Lynford L. Goddard, and Gabriel Popescu. "Solving the Scattering Inverse Problem in the Wavevector Space." In Biomedical Optics. OSA, 2014. http://dx.doi.org/10.1364/biomed.2014.bs3a.77.

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Runnels, Joel, and Demoz Gebre-egziabher. "Pulsars as Accelerometers in Space–Towards Solving the “Lost in Space” Problem." In AIAA Scitech 2020 Forum. American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-1594.

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O'Leary, S. J., M. Couch, and R. Kay. "Solving the Long-term Support Problem - Migrating Operational Mission Control Systems to SCOS-2000." In Space OPS 2004 Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-511-306.

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Reports on the topic "Problem-solving space"

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Lincoln, Patrick, and Charles J. Pedersen. A Problem-Solving Environment for Biological Network Informatics: Bio-Spice. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada471395.

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