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Relevant bibliographies by topics / Complex problems

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Academic literature on the topic 'Complex problems'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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Journal articles on the topic "Complex problems"

1

Elser, Arthur G. "Complex problems." ACM SIGDOC Asterisk Journal of Computer Documentation 21, no. 1 (February 15, 1997): 19–22. http://dx.doi.org/10.1145/250982.250988.

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Modi, Simon, and Allan C. Skanes. "Complex problems require complex solutions … but may result in other complex problems." Heart Rhythm 8, no. 11 (November 2011): 1667–68. http://dx.doi.org/10.1016/j.hrthm.2011.06.015.

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Hodges, K. V. "Solving Complex Problems." Science 338, no. 6111 (November 29, 2012): 1164–65. http://dx.doi.org/10.1126/science.1215228.

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Dufresne, Craig R., Benjamin S. Carson, and S. James Zinreich. "Complex Craniofacial Problems." Annals of Plastic Surgery 30, no. 6 (June 1993): A—7. http://dx.doi.org/10.1097/00000637-199306000-00029.

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Habal, Mutaz B. "Complex Craniofacial Problems." Plastic and Reconstructive Surgery 92, no. 4 (September 1993): 759–60. http://dx.doi.org/10.1097/00006534-199309001-00036.

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Hamby, Anne, Meghan Pierce, and David Brinberg. "Solving Complex Problems." Journal of Macromarketing 37, no. 4 (August 12, 2016): 369–80. http://dx.doi.org/10.1177/0276146716663797.

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Three distinct literatures address social change: social entrepreneurship, community action research, and social marketing. While these activities have a shared goal to create social change, each orientation approaches their activities from a different perspective. The current work explores how macro-social marketing efforts can benefit from alternative orientations to enhance enduring social change. Social entrepreneurship highlights the importance of enduring resources and considering scalability. Community action highlights the importance of obtaining legitimacy and buy-in from multiple entities in the social change system. Social marketing highlights the importance of an end-user perspective and the application of behavioral theories to create systematic change. This work describes a case study in the Kenyan education context to highlight the value of this approach.

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Mumford, E. "Problems, knowledge, solutions: solving complex problems." Journal of Strategic Information Systems 7, no. 4 (December 1998): 255–69. http://dx.doi.org/10.1016/s0963-8687(99)00003-7.

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Bjerge, Bagga, Louise Christensen, and Jeppe Oute. "Complex cases – Complex representations of problems." International Journal of Drug Policy 80 (June 2020): 102563. http://dx.doi.org/10.1016/j.drugpo.2019.09.011.

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Salagre, Estela, and Eduard Vieta. "Precision psychiatry: Complex problems require complex solutions." European Neuropsychopharmacology 52 (November 2021): 94–95. http://dx.doi.org/10.1016/j.euroneuro.2021.07.003.

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Bienenfeld, Sheila, and Joan Busfield. "Complex Problems, Simple Solutions." Women's Review of Books 14, no. 5 (February 1997): 11. http://dx.doi.org/10.2307/4022534.

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Dissertations / Theses on the topic "Complex problems"

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Bukhkalo, S. I., and A. O. Ageicheva. "Complex projects development problems." Thesis, National Technical University "Kharkiv Polytechnic Institute", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/41490.

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Whitmer, Brian C. "Improving Spreadsheets for Complex Problems." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2361.pdf.

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Pérez, Foguet Agustí. "Numerical modelling of complex geomechanical problems." Doctoral thesis, Universitat Politècnica de Catalunya, 2000. http://hdl.handle.net/10803/6703.

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La tesis se centra en el desarrollo de técnicas numéricas específicas para la resolución de problemas de mecánica de sólidos, tomando como referencia aquellos que involucran geomateriales (suelos, rocas, materiales granulares,...). Concretamente, se tratan los siguientes puntos: 1) formulaciones Arbitrariamente Lagrangianas Eulerianas (ALE) para problemas con grandes desplazamientos del contorno; 2) métodos de resolución para problemas no lineales en el campo de la mecánica de sólidos y 3) modelización del comportamiento mecánico de materiales granulares mediante leyes constitutivas elastoplásticas.
Las principales aportaciones de la tesis son: el desarrollo de una formulación ALE para modelos hyperelastoplásticos y el cálculo de operadores tangentes para distintas leyes constitutivas y esquemas de integración temporal no triviales (uso de esquemas de derivación numérica, técnicas de subincrementación y modelos elastoplásticos con endurecimiento y/o reblandecimiento dependientes del trabajo plástico o la densidad). Se presentan diversas aplicaciones que muestran las principales características de los desarrollos presentados (análisis del ensayo del molinete para arcillas blandas, del ensayo triaxial para arenas, de la rotura bajo una cimentación, del proceso de estricción de una barra metálica circular y de un proceso de estampación en frío), dedicando una especial atención a los aspectos computacionales de la resolución de dichos problemas. Por último, se dedica un capítulo específico a la modelización y la simulación numérica de procesos de compactación fría de polvos metálicos y cerámicos.
Numerical modelling of problems involving geomaterials (i.e. soils, rocks, concrete and ceramics) has been an area of active research over the past few decades. This fact is probably due to three main causes: the increasing interest of predicting the material behaviour in practical engineering situations, the great change of computer capabilities and resources, and the growing interaction between computational mechanics, applied mathematics and different engineering fields (concrete, soil mechanics...). This thesis fits within this last multidisciplinary approach. Based on constitutive modelling and applied mathematics and using both languages the numerical simulation of some complex geomechanical problems has been studied.

The state of the art regarding experiments, constitutive modelling, and numerical simulations involving geomaterials is very extensive. The thesis focuses in three of the most important and actual ongoing research topics within this framework: 1) the treatment of large boundary displacements by means of Arbitrary Lagrangian-Eulerian (ALE) formulations; 2) the numerical solution of highly nonlinear systems of equations in solid mechanics; and 3) the constitutive modelling of the nonlinear mechanical behaviour of granular materials. The three topics have been analysed and different contributions for each one of them have been developed. Moreover, some of the new developments have been applied to the numerical modelling of cold compaction processes of powders. The process consists in transforming a loose powder into a compacted sample through a large volume reduction. This problem has been chosen as a reference application of the thesis because it involves large boundary displacements, finite deformations and highly nonlinear material behaviour. Therefore, it is a challenging geomechanical problem from a numerical modelling point of view.

The most relevant contributions of the thesis are the following: 1) with respect to the treatment of large boundary displacements: quasistatic and dynamic analyses of the vane test for soft materials using a fluid-based ALE formulation and different non-newtonian constitutive laws, and the development of a solid-based ALE formulation for finite strain hyperelastic-plastic models, with applications to isochoric and non-isochoric cases; 2) referent to the solution of nonlinear systems of equations in solid mechanics: the use of simple and robust numerical differentiation schemes for the computation of tangent operators, including examples with several non-trivial elastoplastic constitutive laws, and the development of consistent tangent operators for different substepping time-integration rules, with the application to an adaptive time-integration scheme; and 3) in the field of constitutive modelling of granular materials: the efficient numerical modelling of different problems involving elastoplastic models, including work hardening-softening models for small strain problems and density-dependent hyperelastic-plastic models in a large strain context, and robust and accurate simulations of several powder compaction processes, with detailed analysis of spatial density distributions and verification of the mass conservation principle.

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Mohammed, Alip. "Boundary value problems of complex variables." [S.l. : s.n.], 2002. http://www.diss.fu-berlin.de/2003/23/index.html.

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Kytmanov, Aleksandr, Simona Myslivets, Bert-Wolfgang Schulze, and Nikolai Tarkhanov. "Elliptic problems for the Dolbeault complex." Universität Potsdam, 2001. http://opus.kobv.de/ubp/volltexte/2008/2597/.

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The inhomogeneous ∂-equations is an inexhaustible source of locally unsolvable equations, subelliptic estimates and other phenomena in partial differential equations. Loosely speaking, for the anaysis on complex manifolds with boundary nonelliptic problems are typical rather than elliptic ones. Using explicit integral representations we assign a Fredholm complex to the Dolbeault complex over an arbitrary bounded domain in C up(n).

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Mitchell, Helen Margaret. "Index policies for complex scheduling problems." Thesis, University of Newcastle Upon Tyne, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397534.

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Maidstone, Robert. "Efficient analysis of complex changepoint problems." Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/83055/.

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Many time series experience abrupt changes in structure. Detecting where these changes in structure, or changepoints, occur is required for effective modelling of the data. In this thesis we explore the common approaches used for detecting changepoints. We focus in particular on techniques which can be formulated in terms of minimising a cost over segmentations and solved exactly using a class of dynamic programming algorithms. Often implementations of these dynamic programming methods have a computational cost which scales poorly with the length of the time series. Recently pruning ideas have been suggested that can speed up the dynamic programming algorithms, whilst still being guaranteed to be optimal. In this thesis we extend these methods. First we develop two new algorithms for segmenting piecewise constant data: FPOP and SNIP. We evaluate them against other methods in the literature. We then move on to develop the method OPPL for detecting changes in data subject to fitting a continuous piecewise linear model. We evaluate it against similar methods. We finally extend the OPPL method to deal with penalties that depend on the segment length.

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Hanna, S. "Addressing complex design problems through inductive learning." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1353781/.

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Optimisation and related techniques are well suited to clearly defined problems involving systems that can be accurately simulated, but not to tasks in which the phenomena in question are highly complex or the problem ill-defined. These latter are typical of architecture and particularly creative design tasks, which therefore currently lack viable computational tools. It is argued that as design teams and construction projects of unprecedented scale are increasingly frequent, this is just where such optimisation and communication tools are most needed. This research develops a method by which to address complex design problems, by using inductive machine learning from example precedents either to approximate the behaviour of a complex system or to define objectives for its optimisation. Two design domains are explored. A structural problem of the optimisation of stiffness and mass of fine scale, modular space frames has relatively clearly defined goals, but a highly complex geometry of many interconnected members. A spatial problem of the layout of desks in the workplace addresses the social relationships supported by the pattern of their arrangement, and presents a design situation in which even the problem objectives are not known. These problems are chosen to represent a range of scales, types and sources of complexity against which the methods can be tested. The research tests two hypotheses in the context of these domains, relating to the simulation of a system and to communication between the designer and the machine. The first hypothesis is that the underlying structure and causes of a system’s behaviour must be understood to effectively predict or simulate its behaviour. This hypothesis is typical of modelling approaches in engineering. It is falsified by demonstrating that a function can be learned that models the system in question—either optimising of structural stiffness or determining desirable spatial patterns—without recourse to a bottom up simulation of that system. The second hypothesis is that communication of the behaviour of these systems to the machine requires explicit, a priori definitions and agreed upon conventions of meaning. This is typical of classical, symbolic approaches in artificial intelligence and still implicitly underlies computer aided design tools. It is falsified by a test equivalent to a test of linguistic competence, showing that the computer can form a concept of, and satisfy, a particular requirement that is implied only by ostensive communication by examples. Complex, ill-defined problems are handled in practice by hermeneutic, reflective processes, criticism and discussion. Both hypotheses involve discerning patterns caused by the complex structure from the higher level behaviour only, forming a predictive approximation of this, and using it to produce new designs. It is argued that as these abilities are the input and output requirements for a human designer to engage in the reflective design process, the machine can thus be provided with the appropriate interface to do so, resulting in a novel means of interaction with the computer in a design context. It is demonstrated that the designs output by the computer display both novelty and utility, and are therefore a potentially valuable contribution to collective creativity.

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Harper, Courtney Christine. "Complex problems in peroxisome matrix protein import." Available to US Hopkins community, 2003. http://wwwlib.umi.com/dissertations/dlnow/3080674.

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Viaud, Quentin. "Mathematical programming methods for complex cutting problems." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0350.

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Cette thèse s’intéresse à un problème de bin-packing en deux dimensions avec des défauts sur les bins rencontré dans l’industrie verrière. Les plans de découpe sont guillotine 4-stage exact, les objets à couper sans défauts.Une possible résolution utilise la décomposition de Dantzig-Wolfe puis une génération de colonnes et un branch-and-price. Cela est impossible dans notre cas du fait d’instances de trop grande taille. Nous résolvons d’abord le problème de pricing sans défauts par un algorithme incrémental de labelling basé sur un programme dynamique (DP), représenté par un problème de flot dans un hypergraphe. Notre méthode est générique pour les problèmes de sac-à-dos guillotine mais ne résout pas de larges instances en un temps de calcul raisonnable. Nous résolvons alors le problème de bin-packing sans défauts grâce à un DP et une heuristique de diving. Le DP génère des colonnes “non propres”,ne pouvant pas participer à une solution entière. Nous adaptons le diving pour ce cas sans perte d’efficacité. Nous l’étendons alors au cas avec défauts. Nous réparons d’abord heuristiquement une solution du problème sans défauts. La fixation des colonnes dans le diving sans-défaut est ensuite modifiée pour gérer les défauts. Les résultats industriels valident nos méthodes
This thesis deals with a two-dimensional bin-packing problem with defects on bins from the glass industry. Cutting patterns have to be exact 4-stage guillotine and items defect-free. A standard way to solve it isto use Dantzig-Wolfe reformulation with column generation and branch-and price.This is impossible in our case due to large instance size. We first study and solve the defect-free pricing problem with an incremental labelling algorithm based on a dynamic program (DP), represented as a flow problem in a hypergraph. Our method is generic for guillotine knapsack problems but fails to solve large instance in a short amount of time. Instead we solve the defect freebin-packing problem with a DP and a diving heuristic. This DP generatesnon-proper columns, cutting patterns that cannot be in an integer solution.We adapt standard diving heuristic to this “non-proper” case while keeping itseffectiveness. We then extend the diving heuristic to deal with defects. Ourfirst proposal heuristically repairs a given defect-free solution. Secondly the defect-free diving heuristic is adjusted to handle defects during column fixing.Our industrial results outline the effectiveness of our methods

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Books on the topic "Complex problems"

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Grünig, Rudolf, and Richard Kühn. Solving Complex Decision Problems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53814-2.

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Grines, Cindy, Dayi Hu, Thach Nguyen, Shao Liang Chen, and Kim Moo-Hyun. Management of complex cardiovascular problems. Chichester, West Sussex, UK: John Wiley & Sons Inc., 2016.

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Nguyen, Thach N., Dayi Hu, Moo-Hyun Kim, and Cindy L. Grines, eds. Management of Complex Cardiovascular Problems. Malden, Massachusetts, USA: Blackwell Publishing, 2007. http://dx.doi.org/10.1002/9780470750858.

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Nguyen, Thach, Dayi Hu, Shao Liang Chen, Moo-Hyun Kim, and Cindy Grines, eds. Management of Complex Cardiovascular Problems. Oxford, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118965061.

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Gelbaum, Bernard R. Problems inreal and complex analysis. New York: Springer-Verlag, 1992.

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author, Conrad Brian 1970, and Oort Frans 1935 author, eds. Complex multiplication and lifting problems. Providence, Rhode Island: American Mathematical Society, 2014.

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Gelbaum, Bernard R. Problems in real and complex analysis. New York: Springer-Verlag, 1992.

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Enrique, Alba, ed. Optimization techniques for solving complex problems. Hoboken, N.J: John Wiley, 2009.

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1936-, Lehr Jay H., ed. Handbook of complex environmental remediation problems. New York: McGraw-Hill, 2002.

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Shakarchi, Rami. Problems and solutions for Complex analysis. New York: Springer, 1999.

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Book chapters on the topic "Complex problems"

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de Souza, Paulo Ney, and Jorge-Nuno Silva. "Complex Analysis." In Berkeley Problems in Mathematics, 283–390. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4684-9294-1_12.

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de Souza, Paulo Ney, and Jorge-Nuno Silva. "Complex Analysis." In Berkeley Problems in Mathematics, 59–88. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4684-9294-1_5.

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de Souza, Paulo Ney, and Jorge-Nuno Silva. "Complex Analysis." In Berkeley Problems in Mathematics, 305–421. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21825-0_12.

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de Souza, Paulo Ney, and Jorge-Nuno Silva. "Complex Analysis." In Berkeley Problems in Mathematics, 65–96. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21825-0_5.

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de Souza, Paulo Ney, and Jorge-Nuno Silva. "Complex Analysis." In Berkeley Problems in Mathematics, 249–334. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4615-6520-8_12.

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de Souza, Paulo Ney, and Jorge-Nuno Silva. "Complex Analysis." In Berkeley Problems in Mathematics, 59–86. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4615-6520-8_5.

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Posthoff, Christian, and Bernd Steinbach. "Extremely Complex Problems." In Logic Functions and Equations, 339–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02420-8_8.

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DeTombe, Dorien. "Complex Societal Problems." In Handling Societal Complexity, 35–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43917-3_3.

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Hurink, Johann. "Complex Sequencing Problems." In Operations Research Proceedings 1993, 504. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78910-6_163.

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Steinbach, Bernd, and Christian Posthoff. "Extremely Complex Problems." In Logic Functions and Equations, 543–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88945-6_10.

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Conference papers on the topic "Complex problems"

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Kasser, Joseph, and Yang-Yang Zhao. "Simplifying solving complex problems." In 2016 11th System of Systems Engineering Conference (SoSE). IEEE, 2016. http://dx.doi.org/10.1109/sysose.2016.7542903.

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Zeitlin, M. "Multiscale analysis of nonlinear accelerator beam physics problems." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386875.

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Sciabin, Mike, Stephen Bisanz, Geoffrey Lakeman, and Sandy Place. "Symbiotic systems for complex problems." In the first international conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/51909.51936.

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Muñoz, Miguel A. "Sandpiles and absorbing-state phase transitions: Recent results and open problems." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386824.

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Kozyr, V. S. "Dairy complex in the desert." In Current problems of modern animal husbandry. �� "��-��" - �� -�� , 2021. http://dx.doi.org/10.33694/978-966-1550-33-8-2021-0-0-41-50.

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Wu, Peng, Yuehui Chen, Tao Xu, and Haokui Tang. "Evolving Complex Network for Classification Problems." In 2009 International Conference on Computational Intelligence and Natural Computing (CINC). IEEE, 2009. http://dx.doi.org/10.1109/cinc.2009.171.

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Nikolic, Igor, Pieter Beers, and Gerard Dijkema. "Facilitating Interdisciplinary Modelling of Complex Problems." In 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07). IEEE, 2007. http://dx.doi.org/10.1109/hicss.2007.224.

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Heywood, Malcolm I., and Krzysztof Krawiec. "Solving Complex Problems with Coevolutionary Algorithms." In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739482.2756580.

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Krawiec, Krzysztof, and Malcolm Heywood. "Solving complex problems with coevolutionary algorithms." In GECCO '19: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3319619.3323384.

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Krawiec, Krzysztof, and Malcolm Heywood. "Solving complex problems with coevolutionary algorithms." In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3389874.

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Reports on the topic "Complex problems"

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Lee, John B., and Duncan J. Watts. The Structure of Complex Problems. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada477475.

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Murthy, P. K., Kuei-Chien C. Shill, and Gary A. Thiele. A Hybrid-Iterative Technique for Complex Scattering Problems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada165233.

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Mifflin, Robert B. Exploiting Explicit and Implicit Structure in Complex Optimization Problems. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada610910.

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Grome, Anna, Beth Crandall, Kimberly A. Metcalf, Dawn Laufersweiler, and Robert Strouse. Making Sense of Complex Problems: A Resource for Teams. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ad1003300.

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Mifflin, Robert B. Exploiting Explicit and Implicit Structure in Complex Optimization Problems. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada563754.

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Powell, Warren. Optimizing Simulators: An Intelligent Analysis Tool for Complex Operational Problems. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada405535.

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Erickson, Donald B. Operational Reconnaissance: Identifying the Right Problems in a Complex World. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ad1001280.

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Schultz, W. W., and S. W. Hong. Solution of Potential Problems Using an Overdetermined Complex Boundary Integral Method. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada250816.

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Hong, S. W., W. W. Schultz, and W. P. Graebel. An Alternative Complex Boundary Element Method for Nonlinear Free Surface Problems. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada250817.

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Butenko, Sergiy, Vladimir Boginski, and Oleg Prokopyev. Optimization Techniques for Clustering,Connectivity, and Flow Problems in Complex Networks. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada564206.

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