Bibliografías temáticas / Numerical implementation

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Literatura académica sobre el tema "Numerical implementation"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 8 de junio de 2024

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Artículos de revistas sobre el tema "Numerical implementation"

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Mikeš, Karel y Milan Jirásek. "Free Warping Analysis and Numerical Implementation". Applied Mechanics and Materials 825 (febrero de 2016): 141–48. http://dx.doi.org/10.4028/www.scientific.net/amm.825.141.

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This article deals with the mathematical description and numerical implementation of the free warping problem. The solution of the warping problem is given by a warping function obtained by solving the Laplace equation with a corresponding boundary condition. An analytical solution is available only for a limited number of specific cross-sectional shapes such as ellipse or rectangle. For the solution of a general cross section, the Laplace equation must be solved numerically by the finite element method. From a mathematical point of view, the free warping problem can be described in the same way as the heat transfer phenomena, but in the numerical implementation, there are several features specific to warping analysis.The solution algorithm has been implemented in the OOFEM open-source finite element code [1] and verification has been done on several examples with known analytical solutions.
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Nairn, John A. "Numerical implementation of imperfect interfaces". Computational Materials Science 40, n.º 4 (octubre de 2007): 525–36. http://dx.doi.org/10.1016/j.commatsci.2007.02.010.

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Lee, Chun Jin. "The numerical implementation of risk". Korean Journal of Computational & Applied Mathematics 2, n.º 2 (septiembre de 1995): 53–61. http://dx.doi.org/10.1007/bf03008963.

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Linderberg, Jan, So/ren B. Padkjær, Yngve Öhrn y Behnam Vessal. "Numerical implementation of reactive scattering theory". Journal of Chemical Physics 90, n.º 11 (junio de 1989): 6254–65. http://dx.doi.org/10.1063/1.456342.

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Doong, T. y I. Mayergoyz. "On numerical implementation of hysteresis models". IEEE Transactions on Magnetics 21, n.º 5 (septiembre de 1985): 1853–55. http://dx.doi.org/10.1109/tmag.1985.1063923.

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JAUSLIN, H. R. "NUMERICAL IMPLEMENTATION OF A K.A.M. ALGORITHM". International Journal of Modern Physics C 04, n.º 02 (abril de 1993): 317–22. http://dx.doi.org/10.1142/s0129183193000331.

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We discuss a numerical implementation of a K.A.M. algorithm to determine invariant tori, for systems that are quadratic in the action variables. The method has the advantage that the iteration procedure does not produce higher order terms in the actions, allowing thus a systematic control of the convergence.
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Einziger, P. D. "Numerical implementation of the Gabor representation". Electronics Letters 24, n.º 13 (1988): 810. http://dx.doi.org/10.1049/el:19880551.

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Cardelli, E., E. Della Torre y A. Faba. "Numerical Implementation of the DPC Model". IEEE Transactions on Magnetics 45, n.º 3 (marzo de 2009): 1186–89. http://dx.doi.org/10.1109/tmag.2009.2012549.

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Low, K. H. "Numerical implementation of structural dynamics analysis". Computers & Structures 65, n.º 1 (octubre de 1997): 109–25. http://dx.doi.org/10.1016/s0045-7949(95)00338-x.

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Babolian, E. y A. Davari. "Numerical implementation of Adomian decomposition method". Applied Mathematics and Computation 153, n.º 1 (mayo de 2004): 301–5. http://dx.doi.org/10.1016/s0096-3003(03)00646-5.

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Tesis sobre el tema "Numerical implementation"

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Vinikoff, Nicolas. "Numerical Control: Performance Analysis and Implementation Issues". Thesis, KTH, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101797.

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In this thesis, a digitalization method with nite word-length (resolu- tion N ) of a given stable analog controller guaranteeing the minimum dierence in terms of frequency responses is treated. The challenge has consisted in nding a relevant frequency responses mismatch met- ric and in relating it to the word niteness issue. The analog con- troller is represented in modal state-space form and digitalized with a stability-maintaining approximation (ramp invariance) for dierent sampling periods. It results in digital controllers with block diago- nal transition matrices whose coecients (poles) are inside the unit circle. The format is chosen to match the poles dynamical range. The matrix is then coded and the mismatch measure allows for the selection of the "best" poles coded controllers. The remaining ma- trices are then scaled and coded for these selected controllers. The measure is computed for each of them. The procedure nally gives the "optimal" coded controller. This algorithm is shown to perform well and better that a simple rounding after the analog controller discretization phase. iii
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Schwarz, Cornelia. "Numerical implementation of continuum dislocation-based plasticity". kostenfrei, 2007. http://mediatum2.ub.tum.de/doc/618976/document.pdf.

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CASTAGNOLI, JOAO PAULO. "NUMERICAL IMPLEMENTATION OF ACOPPLING SURFACE WATER: GROUNDWATER". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11037@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A relação entre os processos hidrológicos de escoamento superficial e subterrâneo apresenta uma grande variabilidade espacial e temporal. Podendo ser representado de forma qualitativa como parte sequêncial do ciclo hidrológico, estes processos, demostram sua grande dependência e importância nos estudos de balanços hídricos. Visando uma representação quantitativa, este trabalho faz o acoplamento, entre os modelos numéricos de escoamento superficial e de fluxo em meios porosos. Para o meio poroso adotou-se o modelo numérico SWMS_3D (Simunek et al, 1995), o qual resolve a equação de Richards, para fluxo em meios porosos saturados e não saturados nas três dimensões. Na simulação da dinâmica superficial, foram desenvolvidos dois modelos derivados das equações de Saint- Venant: o modelo da Onda Cinemática e o modelo de Difusão. Para a solução numérica foi empregado o método dos elementos finitos através da formulaçao de Galerkin, adotando uma malha tridimensional de elementos tetraédricos, formando uma sub-malha de elementos triangulares na superfície. O modelo de escoamento superficial emprega a malha triangular e interage com o programa SWMS_3D modificado (que utiliza a malha de tetraédros) através das imposições das condições de contorno transientes. Este, responderá com uma parcela de fluxo correspondente à recarga ou descarga no contorno a cada passo de tempo. Com isso, o modelo gerado é capaz de quantificar espacialmente e temporalmente as cargas de pressão em todos os pontos do domínio de estudo.
While analyzing the interaction between the hydrological processes of surface and groundwater flow, it is seen that there is a big difference in its interaction in the space and time. These processes can be represented in a qualitative form as part of the hydrological cycle, demonstrating its dependences and importance in the hydrological balance. This work does the numerical coupling of the surface and groundwater flow. This work adopted the SWMS_3D numerical model (Simunek et. al., 1995), which resolves the Richards equation for saturated and non saturated porous media flow in 3D. In order to simulate the superficial dynamic flow, two models from Saint-Vennat equation were developed, these models are: the cinematic wave model and the diffusion model. These two models consider the average outflow in sections in a 2D scenario. For the numerical solution the finite element method was adopted through the Galerkin formulation. Adopting a 3D domain mesh of tetrahedral elements, seen from above, in 2D, we can see a triangular element mesh. The superficial flow model uses the triangular mesh and iterates with the SWMS_3D modified software, which uses the tetrahedral elements mesh. This was done by changes in the boundary conditions to the models. The SWMS_3D will answer with a flow portion corresponding to a sink or source action in the surface, in each time step. Finally the generated model is able to quantify in space and in time the pressure head in the study domain.
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Herdiana, Ratna. "Numerical methods for SDEs - with variable stepsize implementation /". [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17638.pdf.

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Fooladi, Samaneh y Samaneh Fooladi. "Numerical Implementation of Elastodynamic Green's Function for Anisotropic Media". Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/623144.

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Displacement Green's function is the building block for some semi-analytical methods like Boundary Element Method (BEM), Distributed Point Source Method (DPCM), etc. In this thesis, the displacement Green`s function in anisotropic media due to a time harmonic point force is studied. Unlike the isotropic media, the Green's function in anisotropic media does not have a closed form solution. The dynamic Green's function for an anisotropic medium can be written as a summation of singular and non-singular or regular parts. The singular part, being similar to the result of static Green's function, is in the form of an integral over an oblique circular path in 3D. This integral can be evaluated either by a numerical integration technique or can be converted to a summation of algebraic terms via the calculus of residue. The other part, which is the regular part, is in the form of an integral over the surface of a unit sphere. This integral needs to be evaluated numerically and its evaluation is considerably more time consuming than the singular part. Obtaining dynamic Green's function and its spatial derivatives involves calculation of these two types of integrals. The spatial derivatives of Green's function are important in calculating quantities like stress and stain tensors. The contribution of this thesis can be divided into two parts. In the first part, different integration techniques including Gauss Quadrature, Simpson's, Chebyshev, and Lebedev integration techniques are tried out and compared for evaluation of dynamic Green’s function. In addition the solution from the residue theorem is included for the singular part. The accuracy and performance of numerical implementation is studied in detail via different numerical examples. Convergence plots are used to analyze the numerical error for both Green's function and its derivatives. The second part of contribution of this thesis relates to the mathematical derivations. As mentioned above, the regular part of dynamic Green's function, being an integral over the surface of a unit sphere, is responsible for the majority of computational time. From symmetry properties, this integration domain can be reduced to a hemisphere, but no more simplification seems to be possible for a general anisotropic medium. In this thesis, the integration domain for regular part is further reduced to a quarter of a sphere for the particular case of transversely isotropic material. This reduction proposed for the first time in this thesis nearly halves the number of integration points for the evaluation of regular part of dynamic Green's function. It significantly reduces the computational time.
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Sotolongo, Wilfredo. "On the numerical implementation of cyclic elasto-plastic material models". Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/17594.

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QUISPE, ROBERTO JUAN QUEVEDO. "NUMERICAL IMPLEMENTATION FOR 3D ANALYSIS OF TRANSIENT FLOW IN DAMS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12189@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Esta dissertação tem por objetivo a implementação de uma ferramenta numérica para avaliação do fluxo transiente 3D saturado-não saturado em barragens de terra e enrocamento, baseado no método dos elementos finitos e no programa GEOFLUX implementado por Machado Jr. (2000) para análise de problemas 2D. Nesta nova versão, foram incluídos elementos triangulares de 3 nós para análises 2D e elementos tetraédricos de 4 nós para análises 3D. Implementam-se também subrotinas que oferecem a possibilidade de variação das condições de contorno com o tempo. A equação de Richards é solucionada considerando a formulação mista e o método iterativo de Picard Modificado para solução do sistema de equações não- lineares. Para a solução do sistema de equações utiliza-se um armazenamento especial para matrizes esparsas associado com o método do gradiente bi-conjugado, tornando o processo muito rápido, mesmo em sistemas de grande porte. Utilizam- se dois modelos para representar as curvas características: o modelo exponencial proposto por Srivastava e Yeh (1991) e o modelo proposto por van Genuchten (1980). O programa computacional desenvolvido (GEOFLUX3D) foi aplicado na análise de fluxo na barragem de enrocamento de Gouhou, China, e na barragem de terra Macusani, Peru. Os resultados numéricos indicam a necessidade de análises numéricas 3D em barragens situadas em vales estreitos, onde os efeitos de geometria nas condições de fluxo são significativos e não podem ser ignorados.
The main objective of this thesis is to implement a numerical tool for the evaluation of 3D saturated / unsaturated transient flow through earth and rockfill dams with basis on the finite element method and a computer program written by Machado Jr. (2000) for analysis of similar 2D flow problems. In the 3D version, developed in this thesis, four-nodes tetrahedral elements were implement as well as special subroutines that make possible to vary in time the boundary conditions. The Richards` equation is solved through a mixed formulation, for the solution of the non-linear system of equations a Modified Picard`s method is employed. A special algorithm is used to store the sparse matrices which, in association with the bi-conjugated gradient method, rend the solver computationally very efficient, even for a large number of equations. Two different models were used to represent the characteristic curves: the exponential curve proposed by Srivastava and Yeh (1991) and the formulation suggested by van Genuchten (1980). The improved computer program, thereafter named GEOFLUX3D, was then applied for flow analysis of the Gouhou rockfill dam (China) and the Macusani earth dam (Peru). Numerical results point out that 3D numerical analyses are necessary for dams situated in narrow valleys, where the influence of the terrain geometry on the flow conditions are quite significant and cannot be just ignored.
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Mashalaba, Qaphela. "Implementation of numerical Fourier method for second order Taylor schemes". Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/30978.

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The problem of pricing contingent claims in a complete market has received a significant amount of attention in literature since the seminal work of Black, Fischer and Scholes, Myron (1973). It was also in 1973 that the theory of backward stochastic differential equations (BSDEs) was developed by Bismut, Jean-Michel (1973), but it was much later in the literature that BSDEs developed links to contingent claim pricing. This dissertation is a thorough exposition of the survey paper Ruijter, Marjon J and Oosterlee, Cornelis W (2016) in which a highly accurate and efficient Fourier pricing technique compatible with BSDEs is developed and implemented. We prove our understanding of this technique by reproducing some of the numerical experiments and results in Ruijter, Marjon J and Oosterlee, Cornelis W (2016), and outlining some key implementationl considerations.
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Chun, Byung Kwan. "Study on hardening models and numerical implementation for springback prediction /". The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486397841222103.

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He, Ting. "[pi]Mesh : practical implementation of a low-cost wireless mesh for indoor networking /". View abstract or full-text, 2010. http://library.ust.hk/cgi/db/thesis.pl?CSED%202010%20HE.

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Libros sobre el tema "Numerical implementation"

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Tijhuis, A. G. Electromagnetic inverse profiling: Theory and numerical implementation. Utrecht, The Netherlands: VNU Science Press, 1987.

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M, Rajendran A. y Batra R. C, eds. Constitutive laws: Theory, experiments and numerical implementation. Barcelona: International Center for Numerical Methods in Engineering, 1995.

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Center, Ames Research, ed. Parallel implementation of an algorithm for Delaunay triangulation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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1969-, Chartier Timothy P., ed. Numerical methods: Design, analysis, and computer implementation of algorithms. Princeton, NJ: Princeton University Press, 2012.

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Center, Langley Research, ed. Implementation of an ADI method on parallel computers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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Linear systems: A state variable approach with numerical implementation. Englewood Cliffs, N.J: Prentice Hall, 1989.

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Overby, Alan. CNC machining handbook: Building, programming, and implementation. New York, NY: McGraw-Hill/TAB Electronics, 2010.

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J, Bockelie Michael y Langley Research Center, eds. A comparison of using APPL and PVM for a parallel implementation of an unstructured grid generation problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Stanley, Osher y Langley Research Center, eds. Efficient implementation of essentially non-oscillatory shock capturing schemes. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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Li, Wanai. Efficient Implementation of High-Order Accurate Numerical Methods on Unstructured Grids. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43432-1.

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Capítulos de libros sobre el tema "Numerical implementation"

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Turek, Ilja, Václav Drchal, Josef Kudrnovský, Mojmír Šob y Peter Weinberger. "Numerical Implementation". En Electronic Structure of Disordered Alloys, Surfaces and Interfaces, 287–309. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6255-9_10.

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Kitagawa, Koichi. "Numerical Implementation". En Boundary Element Analysis of Viscous Flow, 42–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84029-6_3.

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Naomis, Steve y Paul C. M. Lau. "Numerical Implementation". En Lecture Notes in Engineering, 101–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84243-6_4.

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Madenci, Erdogan, Atila Barut y Mehmet Dorduncu. "Numerical Implementation". En Peridynamic Differential Operator for Numerical Analysis, 39–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02647-9_3.

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Martínez Pañeda, Emilio. "Numerical Implementation". En Springer Theses, 33–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63384-8_3.

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Sanz-Serna, J. M. y M. P. Calvo. "Implementation". En Numerical Hamiltonian Problems, 53–68. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3093-4_5.

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Boudreau, Bernard P. "Numerical Methods". En Diagenetic Models and Their Implementation, 297–360. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60421-8_8.

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Seifi, Hossein y Hamed Delkhosh. "Implementation and Numerical Results". En Model Validation for Power System Frequency Analysis, 37–57. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2980-7_4.

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Chen, Chuchu, Jialin Hong y Lihai Ji. "Implementation of Numerical Experiments". En Lecture Notes in Mathematics, 215–44. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6686-8_6.

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Liseikin, Vladimir D. "Numerical Implementation of Grid Generator". En Scientific Computation, 241–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05415-4_9.

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Actas de conferencias sobre el tema "Numerical implementation"

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Singh, Gagandeep, Markus Püschel y Martin Vechev. "Making numerical program analysis fast". En PLDI '15: ACM SIGPLAN Conference on Programming Language Design and Implementation. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2737924.2738000.

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Alfalou, A., C. Brosseau, B. E. Benkelfat, S. Qasmi y I. Léonard. "Towards all-numerical implementation of correlation". En SPIE Defense, Security, and Sensing, editado por David P. Casasent y Tien-Hsin Chao. SPIE, 2012. http://dx.doi.org/10.1117/12.919378.

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Zhao, Yidi. "Numerical Implementation of Gauge-Fixed FourierAcceleration". En The 36th Annual International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.334.0026.

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Cavalcanti, C., H. Correia, A. Castro y J. L. Alves. "Constituive modelling of the annulus fibrosus: Numerical implementation and numerical analysis". En 2013 IEEE 3rd Portuguese Meeting in Bioengineering (ENBENG). IEEE, 2013. http://dx.doi.org/10.1109/enbeng.2013.6518408.

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Brugnano, Luigi, Felice Iavernaro, Tiziana Susca, Theodore E. Simos, George Psihoyios y Ch Tsitouras. "Hamiltonian BVMs (HBVMs): Implementation Details and Applications". En NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241568.

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He, Jingxuan, Gagandeep Singh, Markus Püschel y Martin Vechev. "Learning fast and precise numerical analysis". En PLDI '20: 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3385412.3386016.

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Foote, W., J. Kraemer y G. Foster. "APL2 implementation of numerical asset pricing models". En the international conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/55626.55643.

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Panahi, Ashkan, Mats Viberg y Babak Hassibi. "A numerical implementation of gridless compressed sensing". En ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178590.

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van Stralen, Mattheus J. N., Maarten V. de Hoop y Hans Blok. "Numerical Implementation of the Bremmer Coupling Series". En Integrated Photonics Research. Washington, D.C.: OSA, 1996. http://dx.doi.org/10.1364/ipr.1996.imb4.

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Lebrun, M., J. Darbon y J. M. Morel. "A Numerical Implementation of Landscape Evolution Models". En Second Conference on Forward Modelling of Sedimentary Systems. Netherlands: EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201600381.

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Informes sobre el tema "Numerical implementation"

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Weinacht, Daniel J. Coupled elastic-plastic thermomechanically assisted diffusion: Theory development, numerical implementation, and application. Office of Scientific and Technical Information (OSTI), diciembre de 1995. http://dx.doi.org/10.2172/176804.

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Herrmann, Leonard R., Victor Kaliakin y C. K. Shen. Improved Numerical Implementation of the Bounding Surface Plasticity Model for Cohesive Soils. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1985. http://dx.doi.org/10.21236/ada163572.

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Baczewski, Andrew David, Luke Shulenburger, Michael Paul Desjarlais y Rudolph J. Magyar. Numerical implementation of time-dependent density functional theory for extended systems in extreme environments. Office of Scientific and Technical Information (OSTI), febrero de 2014. http://dx.doi.org/10.2172/1204090.

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Ding, Yan, Q. Chen, Ling Zhu, Julie Rosati y Bradley Johnson. Implementation of flexible vegetation into CSHORE for modeling wave attenuation. Engineer Research and Development Center (U.S.), febrero de 2022. http://dx.doi.org/10.21079/11681/43220.

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This technical report presents the new numerical modeling capabilities for simulating wave attenuation and mean water level changes through flexible vegetation such as smooth cordgrass in coastal and marine wetlands. These capabilities were implemented into the Cross-SHORE (CSHORE) numerical model. The biomechanical properties of vegetation such as dimensions, flexibility, and bending strength are parameterized in terms of the scaling law. Correspondingly, a new formulation of the vegetation drag coefficient, CD, is developed using field data from a salt marsh in Terrebonne Bay, LA, by considering spatially varying effective stem and blade heights of species. This report also presents a general procedure for using the model to simulate hydrodynamic variables (i.e., waves, currents, mean water levels) at vegetated coasts, which are used to quantify the effects of wave attenuation and reduction of surge and runup due to vegetation. Preliminary model validation was conducted by simulating a set of laboratory experiments on synthetic vegetation, which mimicked the flexibility of Spartina alterniflora. The validation results indicate that the newly developed vegetation capabilities enable CSHORE to predict changes of wave heights and water levels through marshes by considering species-specific biomechanical features. The model is also applicable to assess vegetation effectiveness against waves and surges.
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Warne, Larry y William Johnson. Capacitive/Inductive Corrections for Numerical Implementation of Thin-Slot Transmission Line Models and Other Useful Formulas. Office of Scientific and Technical Information (OSTI), octubre de 2022. http://dx.doi.org/10.2172/1891445.

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Michaels, Michelle, Theodore Letcher, Sandra LeGrand, Nicholas Webb y Justin Putnam. Implementation of an albedo-based drag partition into the WRF-Chem v4.1 AFWA dust emission module. Engineer Research and Development Center (U.S.), enero de 2021. http://dx.doi.org/10.21079/11681/42782.

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Employing numerical prediction models can be a powerful tool for forecasting air quality and visibility hazards related to dust events. However, these numerical models are sensitive to surface conditions. Roughness features (e.g., rocks, vegetation, furrows, etc.) that shelter or attenuate wind flow over the soil surface affect the magnitude and spatial distribution of dust emission. To aide in simulating the emission phase of dust transport, we used a previously published albedo-based drag partition parameterization to better represent the component of wind friction speed affecting the immediate soil sur-face. This report serves as a guide for integrating this parameterization into the Weather Research and Forecasting with Chemistry (WRF-Chem) model. We include the procedure for preprocessing the required input data, as well as the code modifications for the Air Force Weather Agency (AFWA) dust emission module. In addition, we provide an example demonstration of output data from a simulation of a dust event that occurred in the Southwestern United States, which incorporates use of the drag partition.
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Lewis, Matthew W. Numerical Implementation of an Invariant-Based Model for Foamed Elastomers with Strain Softening and Nonlinear Time Dependent Response. Office of Scientific and Technical Information (OSTI), septiembre de 2018. http://dx.doi.org/10.2172/1469496.

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Paschen, Marius, Felix Meier y Wilfried Rickels. Working paper on the numerical modelling framework to compare different accounting schemes. OceanNets, agosto de 2023. http://dx.doi.org/10.3289/oceannets_d1.1_v3.

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Any integration of extra carbon dioxide removal (CDR) via terrestrial or marine sink enhancement into climate policies requires accounting for their effectiveness in reducing atmospheric carbon concentration. Different accounting methods have been introduced to quantify the impacts of sink enhancements. Here, we provide a manual for the different accounting methods, accompanying the implementation of the accounting methods in a R-file which is free for download. Hence, the material allows applying the different accounting ethods and for demonstration purposes we provide a numerical example.
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Savant, Gaurav, Rutherford Berger, Corey Trahan y Gary Brown. Theory, formulation, and implementation of the Cartesian and spherical coordinate two-dimensional depth-averaged module of the Adaptive Hydraulics (AdH) finite element numerical code. Engineer Research and Development Center (U.S.), junio de 2020. http://dx.doi.org/10.21079/11681/36993.

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Ter-Minassian, Teresa. Preconditions for a Successful Introduction of Structural Fiscal Balance-based Rules in Latin America and the Caribbean: A Framework Paper. Inter-American Development Bank, octubre de 2010. http://dx.doi.org/10.18235/0006940.

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This paper explores the design of sound fiscal rules and their effective implementation and enforcement in the light of the existing literature and of available empirical evidence. It focuses in particular on the potential advantages and requirements for the effective operation of fiscal rules based on structural budget balances (i.e. balances adjusted for the output cycle and other relevant exogenous influences, such as commodity price developments). It also discusses the potential use of structural budget balances as indicators of the fiscal policy stance, rather than as numerical policy targets.
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