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Journal articles on the topic 'Computing geometry'

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1

Hanson, Andrew J., Gerardo Ortiz, Amr Sabry, and Yu-Tsung Tai. "Geometry of discrete quantum computing." Journal of Physics A: Mathematical and Theoretical 46, no. 18 (2013): 185301. http://dx.doi.org/10.1088/1751-8113/46/18/185301.

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2

Lloyd, S. "QUANTUM COMPUTING: Computation from Geometry." Science 292, no. 5522 (2001): 1669. http://dx.doi.org/10.1126/science.1062065.

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Hanson, Andrew J., Gerardo Ortiz, Amr Sabry, and Yu-Tsung Tai. "Corrigendum: Geometry of discrete quantum computing." Journal of Physics A: Mathematical and Theoretical 49, no. 3 (2015): 039501. http://dx.doi.org/10.1088/1751-8113/49/3/039501.

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4

PIAO, Y., and J. SATO. "Computing Epipolar Geometry from Unsynchronized Cameras." IEICE Transactions on Information and Systems E91-D, no. 8 (2008): 2171–78. http://dx.doi.org/10.1093/ietisy/e91-d.8.2171.

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Botana, Francisco, and Tomas Recio. "Computing envelopes in dynamic geometry environments." Annals of Mathematics and Artificial Intelligence 80, no. 1 (2016): 3–20. http://dx.doi.org/10.1007/s10472-016-9500-3.

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6

Zeeman, Christopher. "Three-dimensional theorems for schools." Mathematical Gazette 89, S1 (2005): 1–92. http://dx.doi.org/10.1017/s0025557200590421.

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Geometry is gradually coming back into the school syllabus, but so far only 2-dimensional geometry. I would like to make a case for including some 3-dimensional geometry as well, because the latter is vital for describing the world throughout science, engineering and architecture. Higher-dimensional geometry also comprises a major part of modern research within mathematics itself. Also 3-dimensional geometry fosters both our intuitive understanding and our geometric imagination. It teaches us to see things in the round. It also trains us to see all sides of an argument simultaneously, as oppos
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El Khaldi, Khaldoun, and Elias G. Saleeby. "On the density of lines and Santalo’s formula for computing geometric size measures." Monte Carlo Methods and Applications 26, no. 4 (2020): 315–23. http://dx.doi.org/10.1515/mcma-2020-2071.

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AbstractMethods from integral geometry and geometric probability allow us to estimate geometric size measures indirectly. In this article, a Monte Carlo algorithm for simultaneous estimation of hyper-volumes and hyper-surface areas of a class of compact sets in Euclidean space is developed. The algorithm is based on Santalo’s formula and the Hadwiger formula from integral geometry, and employs a comparison principle to assign geometric probabilities. An essential component of the method is to be able to generate uniform sets of random lines on the sphere. We utilize an empirically established
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Lansdown, John. "Not only computing — also art." ITNOW 31, no. 10 (1989): 16–17. https://doi.org/10.1093/combul/31.10.16.

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Abstract It will come as no surprise to regular readers of these columns that I have something of an obsession with geometry. I developed this interest when I was a student in the 1940s and 1950s but, except at the purely practical level of technical drawing, my enthusiasm rarely seemed to be shared by others. Good texts on geometry were hard to come by and, in the eyes of many academics, the subject seemed to be dead or dying. Currently, I am glad to say, this fascinating discipline is enjoying a resurgence.
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Nessel, Michał, and Szymon Filipowski. "EXAMPLES OF GENETIC ALGORITHMS USAGE IN GEOMETRY AND ALGORITHMIC DESIGN." Boletim da Aproged, no. 34 (December 2018): 31–36. http://dx.doi.org/10.24840/2184-4933_2018-0034_0004.

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In this paper, the authors test genetic algorithms as geometric and design issues’ solvers to explain and explore the possibilities of this computing technique in design and research. The tests and explanations are based on three classical geometry problems of the Ancient Greece and on a pattern distribution algorithm, created by the authors and inspired by the definition of Lebesgue covering dimension. The basic tools for research are: Rhinoceros, the Grasshopper plug-in and the Galapagos tool. The tests prove that, as a result based on computing techniques, genetic algorithms can be used to
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Gyulassy, A., P. Bremer, and V. Pascucci. "Computing Morse-Smale Complexes with Accurate Geometry." IEEE Transactions on Visualization and Computer Graphics 18, no. 12 (2012): 2014–22. http://dx.doi.org/10.1109/tvcg.2012.209.

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Botana, Francisco. "Computing bisectors in a dynamic geometry environment." International Journal of Mathematical Education in Science and Technology 44, no. 2 (2013): 299–310. http://dx.doi.org/10.1080/0020739x.2012.690900.

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12

Brumitt, B., J. Krumm, B. Meyers, and S. Shafer. "Ubiquitous computing and the role of geometry." IEEE Personal Communications 7, no. 5 (2000): 41–43. http://dx.doi.org/10.1109/98.878536.

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13

Lowther, John L., and Ching-Kuang Shene. "Computing with geometry as an undergraduate course." ACM SIGCSE Bulletin 33, no. 1 (2001): 119–23. http://dx.doi.org/10.1145/366413.364558.

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14

Boufama, Boubakeur S., and Roger Mohr. "A Stable and Accurate Algorithm for Computing Epipolar Geometry." International Journal of Pattern Recognition and Artificial Intelligence 12, no. 06 (1998): 817–40. http://dx.doi.org/10.1142/s0218001498000452.

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This paper addresses the problem of computing the fundamental matrix which describes a geometric relationship between a pair of stereo images: the epipolar geometry. In the uncalibrated case, epipolar geometry captures all the 3D information available from the scene. It is of central importance for problems such as 3D reconstruction, self-calibration and feature tracking. Hence, the computation of the fundamental matrix is of great interest. The existing classical methods14 use two steps: a linear step followed by a nonlinear one. However, in some cases, the linear step does not yield a close
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15

Li, Xinsheng, and Xuedong Yuan. "Fundamental Matrix Computing Based on 3D Metrical Distance." Algorithms 14, no. 3 (2021): 89. http://dx.doi.org/10.3390/a14030089.

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To reconstruct point geometry from multiple images, computation of the fundamental matrix is always necessary. With a new optimization criterion, i.e., the re-projective 3D metric geometric distance rather than projective space under RANSAC (Random Sample And Consensus) framework, our method can reveal the quality of the fundamental matrix visually through 3D reconstruction. The geometric distance is the projection error of 3D points to the corresponding image pixel coordinates in metric space. The reasonable visual figures of the reconstructed scenes are shown but only some numerical result w
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Du, Bowen. "Understanding Human-building Interactions Using Computing." XRDS: Crossroads, The ACM Magazine for Students 30, no. 3 (2024): 20–25. http://dx.doi.org/10.1145/3652919.

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17

Miki, Mitsunori, and Takahira Koita. "Parallel computing for analysis of variable geometry trusses." AIAA Journal 34, no. 7 (1996): 1468–73. http://dx.doi.org/10.2514/3.13255.

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18

Gordeev, E. N., and M. A. Kalinovskii. "Stability of solutions in problems of computing geometry." Cybernetics and Systems Analysis 35, no. 2 (1999): 175–83. http://dx.doi.org/10.1007/bf02733466.

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19

Nisar, Ali. "Computing the Urban Sprawl Dynamics through Fractal Geometry." Journal of Controller and Converters 4, no. 3 (2019): 22–34. https://doi.org/10.5281/zenodo.3426853.

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<em>Urban sprawl has become a very magnificent topic throughout the world since last decade. Various techniques, methodologies and quantitative approaches are based to measure urban sprawl in previous researches. In this research a different idea of fractal analysis is introduced to analyze the urban sprawl. In addition density gradient and sprawl index techniques have also been used to characterize the urban sprawl in Karachi. In this study, we have discussed the urban sprawl of Karachi from its first census (1951) to 2012. Massive flight of the population is recorded between 1981 and 1998 to
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20

Planat, Michel, Raymond Aschheim, Marcelo M. Amaral, and Klee Irwin. "Group Geometrical Axioms for Magic States of Quantum Computing." Mathematics 7, no. 10 (2019): 948. http://dx.doi.org/10.3390/math7100948.

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Let H be a nontrivial subgroup of index d of a free group G and N be the normal closure of H in G. The coset organization in a subgroup H of G provides a group P of permutation gates whose common eigenstates are either stabilizer states of the Pauli group or magic states for universal quantum computing. A subset of magic states consists of states associated to minimal informationally complete measurements, called MIC states. It is shown that, in most cases, the existence of a MIC state entails the two conditions (i) N = G and (ii) no geometry (a triple of cosets cannot produce equal pairwise s
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Miller, Bailey, Rohan Sawhney, Keenan Crane, and Ioannis Gkioulekas. "Differential Walk on Spheres." ACM Transactions on Graphics 43, no. 6 (2024): 1–18. http://dx.doi.org/10.1145/3687913.

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We introduce a Monte Carlo method for computing derivatives of the solution to a partial differential equation (PDE) with respect to problem parameters (such as domain geometry or boundary conditions). Derivatives can be evaluated at arbitrary points, without performing a global solve or constructing a volumetric grid or mesh. The method is hence well suited to inverse problems with complex geometry, such as PDE-constrained shape optimization. Like other walk on spheres (WoS) algorithms, our method is trivial to parallelize, and is agnostic to boundary representation (meshes, splines, implicit
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22

Espinoza, Jesús F., and Cynthia G. Esquer-Pérez. "Intersection Properties of Finite Disk Collections." Mathematics 12, no. 4 (2024): 547. http://dx.doi.org/10.3390/math12040547.

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In this article, we study the intersection of a finite collection of disks in Euclidean space by examining spheres of various dimensions and their poles (extreme values with respect to canonical projections) contained within the intersection’s boundary. We derive explicit formulae for computing these extreme values and present two applications. The first application involves computing the smallest common rescaling factor for the radii of the disk system, which brings the system to a single point of intersection. This calculation allows us to compute the generalized Čech filtration, a crucial t
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23

Rodriguez, Jose Israel, and Botong Wang. "Computing Euler Obstruction Functions Using Maximum Likelihood Degrees." International Mathematics Research Notices 2020, no. 20 (2020): 6699–712. http://dx.doi.org/10.1093/imrn/rnz243.

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Abstract We give a numerical algorithm computing Euler obstruction functions using maximum likelihood degrees. The maximum likelihood degree is a well-studied property of a variety in algebraic statistics and computational algebraic geometry. In this article we use this degree to give a new way to compute Euler obstruction functions. We define the maximum likelihood obstruction function and show how it coincides with the Euler obstruction function. With this insight, we are able to bring new tools of computational algebraic geometry to study Euler obstruction functions.
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24

Nien, Chia-Hsing, and Frederick J. Wicklin. "An Algorithm for the Computation of Preimages in Noninvertible Mappings." International Journal of Bifurcation and Chaos 08, no. 02 (1998): 415–22. http://dx.doi.org/10.1142/s0218127498000279.

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For discrete dynamical systems generated by iterating a diffeomorphism, every point in the phase space has a unique preimage and it is straightforward to compute geometric structures such as inverse orbits and one-dimensional stable manifolds of periodic points. For noninvertible mappings, however, some points have multiple preimages; others may have no preimages. This makes the computation of inverse orbits difficult, because accurate computations require global knowledge about the way the mapping folds and pleats phase space. In this article we use ideas from singularity theory to examine th
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25

MAIOLI, D. S., C. LAVOR, and D. S. GONÇALVES. "A NOTE ON COMPUTING THE INTERSECTION OF SPHERES IN." ANZIAM Journal 59, no. 2 (2017): 271–79. http://dx.doi.org/10.1017/s1446181117000372.

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Finding the intersection of $n$-dimensional spheres in $\mathbb{R}^{n}$ is an interesting problem with applications in trilateration, global positioning systems, multidimensional scaling and distance geometry. In this paper, we generalize some known results on finding the intersection of spheres, based on QR decomposition. Our main result describes the intersection of any number of $n$-dimensional spheres without the assumption that the centres of the spheres are affinely independent. A possible application in the interval distance geometry problem is also briefly discussed.
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26

BAUTISTA JACOBO, JUANA LILIA, HUGO JIMENEZ HERNANDEZ, JOSE JULIAN MONTES RODRIGUEZ, ESPERANZA RODRIGUEZ MORALES, and HUGO GUAMEZ CUATZIN. "AUTOMATED AIRFOIL CONSTRUCTION: A SOLUTION USING EVOLUTIONARY COMPUTING." DYNA 97, no. 6 (2022): 578. http://dx.doi.org/10.6036/10678.

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27

Hindmarsh, Richard C. A., Gwendolyn J. M. C. Leysinger Vieli, and Frédéric Parrenin. "A large-scale numerical model for computing isochrone geometry." Annals of Glaciology 50, no. 51 (2009): 130–40. http://dx.doi.org/10.3189/172756409789097450.

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AbstractA finite-difference model for the calculation of radar layer geometries in large ice masses is presented. Balance velocities are used as coefficients in the age equation and in the heat equation. Solution of the heat equation allows prediction of sliding areas and computation of basal melt rates. Vertical distributions of velocity are parameterized using shape functions. These can be set uniformly, or allowed to vary in space according to the distribution of sliding. The vertical coordinate can either be uniformly distributed within the thickness of the ice, or be uniformly distributed
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28

Shene, Ching-Kuang, and John Lowther. "Computing with geometry as an undergraduate course (poster session)." ACM SIGCSE Bulletin 32, no. 3 (2000): 193. http://dx.doi.org/10.1145/353519.343237.

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29

Luo, Xiaonan. "A Progressive Geometry Simplification Method for Mobile Computing Terminal." Journal of Computer Research and Development 44, no. 6 (2007): 1038. http://dx.doi.org/10.1360/crad20070617.

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30

Pourmand, Saeid, Wyatt D. Whiting, Alireza Aghasi, and Nicholas F. Marshall. "Laplace-HDC: Understanding the Geometry of Binary Hyperdimensional Computing." Journal of Artificial Intelligence Research 82 (March 12, 2025): 1293–323. https://doi.org/10.1613/jair.1.17688.

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This paper studies the geometry of binary hyperdimensional computing (HDC), a computational scheme in which data are encoded using high-dimensional binary vectors. We establish a result about the similarity structure induced by the HDC binding operator and show that the Laplace kernel naturally arises in this setting, motivating our new encoding method Laplace-HDC, which improves upon previous methods. We describe how our results indicate limitations of binary HDC in encoding spatial information from images and discuss potential solutions, including using Haar convolutional features and the de
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BOKKA, V., H. GURLA, S. OLARIU, J. L. SCHWING, and I. STOJMENOVIĆ. "TIME-OPTIMAL DIGITAL GEOMETRY ALGORITHMS ON MESHES WITH MULTIPLE BROADCASTING." International Journal of Pattern Recognition and Artificial Intelligence 09, no. 04 (1995): 601–13. http://dx.doi.org/10.1142/s0218001495000225.

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The main contribution of this work is to show that a number of digital geometry problems can be solved elegantly on meshes with multiple broadcasting by using a time-optimal solution to the leftmost one problem as a basic subroutine. Consider a binary image pretiled onto a mesh with multiple broadcasting of size [Formula: see text] one pixel per processor. Our first contribution is to prove an Ω(n1/6) time lower bound for the problem of deciding whether the image contains at least one black pixel. We then obtain time lower bounds for many other digital geometry problems by reducing this fundam
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32

Zbiek, Rose Mary. "The Pentagon Problem: Geometric Reasoning with Technology." Mathematics Teacher 89, no. 2 (1996): 86–90. http://dx.doi.org/10.5951/mt.89.2.0086.

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We value the use of technology in mathematics learning and teaching, and we want students to reason and to explore mathematical ideas in their mathematics courses. In recent years, such computing tools as The Geometer's Sketchpad (1991) and Cabri Geometry II (1994) allow us to devise and operate on geometric figures similarly as symbolic manipulators allow us to work with algebraic expressions. In this article, we call these tools figure manipulators. These tools make it possible for students to explore and connect geometric ideas from synthetic, analytic, and transformational perspectives. Ye
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Nielsen, Frank. "The Siegel–Klein Disk: Hilbert Geometry of the Siegel Disk Domain." Entropy 22, no. 9 (2020): 1019. http://dx.doi.org/10.3390/e22091019.

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We study the Hilbert geometry induced by the Siegel disk domain, an open-bounded convex set of complex square matrices of operator norm strictly less than one. This Hilbert geometry yields a generalization of the Klein disk model of hyperbolic geometry, henceforth called the Siegel–Klein disk model to differentiate it from the classical Siegel upper plane and disk domains. In the Siegel–Klein disk, geodesics are by construction always unique and Euclidean straight, allowing one to design efficient geometric algorithms and data structures from computational geometry. For example, we show how to
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34

Salzburger, A., J. Niermann, B. Yeo, and A. Krasznahorkay. "Detray: a compile time polymorphic tracking geometry description." Journal of Physics: Conference Series 2438, no. 1 (2023): 012026. http://dx.doi.org/10.1088/1742-6596/2438/1/012026.

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Abstract A detailed geometry description is essential to any high quality track reconstruction application. In current C++ based track reconstruction software libraries this is often achieved by an object oriented, polymorphic geometry description that implements different shapes and objects by extending a common base class. Such a design, however, has been shown to be problematic when attempting to adapt these applications to run on heterogeneous computing hardware, particularly on hardware accelerators. We present detray, a compile time polymorphic and yet accurate track reconstruction geome
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JIANG, D., and N. F. STEWART. "FLOATING-POINT ARITHMETIC FOR COMPUTATIONAL GEOMETRY PROBLEMS WITH UNCERTAIN DATA." International Journal of Computational Geometry & Applications 19, no. 04 (2009): 371–85. http://dx.doi.org/10.1142/s0218195909003015.

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It has been suggested in the literature that ordinary finite-precision floating-point arithmetic is inadequate for geometric computation, and that researchers in numerical analysis may believe that the difficulties of error in geometric computation can be overcome by simple approaches. It is the purpose of this paper to show that these suggestions, based on an example showing failure of a certain algorithm for computing planar convex hulls, are misleading, and why this is so. It is first shown how the now-classical backward error analysis can be applied in the area of computational geometry. T
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Lyu, Zhengyu, Wulamu Aziguli, and Dezheng Zhang. "Geometry-V-Sub: An Efficient Graph Attention Network Struct Based Model for Node Classification." Applied Sciences 12, no. 14 (2022): 7246. http://dx.doi.org/10.3390/app12147246.

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With the development of deep learning and graph deep learning, the network structure is more and more complex, and the parameters in the network model and the computing resources and storage resources required are increasing. The lightweight design and optimization of the network structure is conducive to reducing the required computing resources and storage resources, reducing the requirements of the network model on the computing environment, increasing its scope of application, reducing the consumption of energy in computing, and is conducive to environmental protection. The contribution of
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37

Vasilakos, Dr Thanos, and Dr Marco Painho. "Soft Computing." Soft Computing 7, no. 7 (2003): 489. http://dx.doi.org/10.1007/s00500-003-0300-4.

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38

Datta, Sambit, and David Beynon. "A Computational Approach to the Reconstruction of Surface Geometry from Early Temple Superstructures." International Journal of Architectural Computing 3, no. 4 (2005): 471–86. http://dx.doi.org/10.1260/147807705777781068.

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Recovering the control or implicit geometry underlying temple architecture requires bringing together fragments of evidence from field measurements, relating these to mathematical and geometric descriptions in canonical texts and proposing “best-fit” constructive models. While scholars in the field have traditionally used manual methods, the innovative application of niche computational techniques can help extend the study of artefact geometry. This paper demonstrates the application of a hybrid computational approach to the problem of recovering the surface geometry of early temple superstruc
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39

Berardini, Elena, Alain Couvreur, and Grégoire Lecerf. "A Proof of the Brill-Noether Method from Scratch." ACM Communications in Computer Algebra 57, no. 4 (2023): 200–229. http://dx.doi.org/10.1145/3653002.3653004.

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In 1874 Brill and Noether designed a seminal geometric method for computing bases of Riemann-Roch spaces. From then, their method has led to several algorithms, some of them being implemented in computer algebra systems. The usual proofs often rely on abstract concepts of algebraic geometry and commutative algebra. In this paper we present a short self-contained and elementary proof that mostly needs Newton polygons, Hensel lifting, bivariate resultants, and Chinese remaindering.
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Petre, Ivona Camelia, Alin Pohoata, Carmen Popa, and Carmen Adriana Cîrstoiu. "Technical Applications of the Descriptive Geometry and the Numerical Methods." Applied Mechanics and Materials 659 (October 2014): 565–70. http://dx.doi.org/10.4028/www.scientific.net/amm.659.565.

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Many problems of graphic building encountered in engineering are in fact problems of geometry. The continuous development of the modern technology and the appearance of the drawing and computing software solutions, allows the solving problems in several ways: using descriptive geometry or numerical methods. This paper proposes to establish a pipeline unfolding first using descriptive geometry then giving an easy programmable algorithm based on geometrical and numerical analysis considerations.
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Gupta, B. B., Dharma P. Agrawal, Shingo Yamaguchi, and Michael Sheng. "Soft computing techniques for big data and cloud computing." Soft Computing 24, no. 8 (2020): 5483–84. http://dx.doi.org/10.1007/s00500-020-04766-2.

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42

Yu, Shangshu, Xiaotian Sun, Wen Li, et al. "STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 9 (2025): 9644–52. https://doi.org/10.1609/aaai.v39i9.33045.

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While Neural Radiance Fields (NeRFs) have advanced the frontiers of novel view synthesis (NVS) using LiDAR data, they still struggle in dynamic scenes. Due to the low frequency and sparsity characteristics of LiDAR point clouds, it is challenging to spontaneously learn a dynamic and consistent scene representation from posed scans. In this paper, we propose STGC-NeRF, a novel LiDAR NeRF method that combines spatial-temporal geometry consistency to enhance the reconstruction of dynamic scenes. First, we propose a temporal geometry consistency regularization to enhance the regression of time-var
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Ou, Yuan Han, Di Liu, Zhen Tian Hu, and Ying Tan. "Photo Viewer Using Geometry Method." Applied Mechanics and Materials 241-244 (December 2012): 2915–20. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2915.

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Traditional photo viewer can not provide 3D relationships of geometry scene between two photos. This paper presents a novel photo viewer using geometry method, and the only preparation work of our method is computing photos’ geometry information in advance. Our method first computed morphing matrixes from geometry information. We then constructed a camera motion using cosine function. Next, the morphing matrixes and camera motion were combined to draw a double-layer transition between two photos. Lastly, we demonstrated our photo viewer on a series of photos in campus. The results of a user st
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Waterman, David G., Graeme Winter, Richard J. Gildea, et al. "Diffraction-geometry refinement in theDIALSframework." Acta Crystallographica Section D Structural Biology 72, no. 4 (2016): 558–75. http://dx.doi.org/10.1107/s2059798316002187.

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Rapid data collection and modern computing resources provide the opportunity to revisit the task of optimizing the model of diffraction geometry prior to integration. A comprehensive description is given of new software that builds upon established methods by performing a single global refinement procedure, utilizing a smoothly varying model of the crystal lattice where appropriate. This global refinement technique extends to multiple data sets, providing useful constraints to handle the problem of correlated parameters, particularly for small wedges of data. Examples of advanced uses of the s
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BRANDENBURSKY, MICHAEL, ŚWIATOSŁAW R. GAL, JAREK KĘDRA, and MICHAŁ MARCINKOWSKI. "THE CANCELLATION NORM AND THE GEOMETRY OF BI-INVARIANT WORD METRICS." Glasgow Mathematical Journal 58, no. 1 (2015): 153–76. http://dx.doi.org/10.1017/s0017089515000129.

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AbstractWe study bi-invariant word metrics on groups. We provide an efficient algorithm for computing the bi-invariant word norm on a finitely generated free group and we construct an isometric embedding of a locally compact tree into the bi-invariant Cayley graph of a nonabelian free group. We investigate the geometry of cyclic subgroups. We observe that in many classes of groups, cyclic subgroups are either bounded or detected by homogeneous quasimorphisms. We call this property the bq-dichotomy and we prove it for many classes of groups of geometric origin.
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Zhanabayev, Zhaksylyk, Nurlan Umbetov, and Adil Zhakash. "On the place of the subject «Descriptive geometry» in the subject «Applied Geometry»." Рroblems of engineering and professional education 77, no. 2 (2025): 69–78. https://doi.org/10.32523/2220-685x-2025-77-2-69-78.

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The article comprehensively considers the importance of the subject «Descriptive geometry» as a component of vocational education in technical higher educational institutions. This subject serves as the basis for the development of students' spatial thinking, mastering the skills of graphical representation of geometric figures, as well as the formation of the ability to transform two-dimensional and three-dimensional models of technical objects. Descriptive geometry is not only a theoretical subject in the engineering education system, but also an important tool aimed at solving engineering p
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BREEN, DAVID, PARAS WADEKAR, CHELSEA AMANATIDES, GENEVIEVE DION, and RANDALL KAMIEN. "GEOMETRIC AND MECHANICAL MODELING OF WEFTKNITTED FABRICS USING HELICOID SCAFFOLDS." Fibres and Textiles 32, no. 1 (2025): 5–12. https://doi.org/10.15240/tul/008/2025-1-001.

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We present a bicontinuous, minimal surface (the helicoid) as a scaffold on which to define the topology and geometry of yarns in a weft-knitted fabric. Modeling with helicoids offers a geometric approach to simulating a physical manufacturing process, which should generate geometric models suitable for downstream analyses. The centerline of a yarn in a knitted fabric is specified as a geodesic path, with constrained boundary conditions, running along a helicoid at a fixed distance. The shape of the yarn’s centerline is produced via an optimization process over a polyline. The distances between
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48

Feng, Sheng, Xiaoqiang Hua, Yongxian Wang, Qiang Lan, and Xiaoqian Zhu. "Matrix Information Geometry for Signal Detection via Hybrid MPI/OpenMP." Entropy 21, no. 12 (2019): 1184. http://dx.doi.org/10.3390/e21121184.

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The matrix information geometric signal detection (MIGSD) method has achieved satisfactory performance in many contexts of signal processing. However, this method involves many matrix exponential, logarithmic, and inverse operations, which result in high computational cost and limits in analyzing the detection performance in the case of a high-dimensional matrix. To address these problems, in this paper, a high-performance computing (HPC)-based MIGSD method is proposed, which is implemented using the hybrid message passing interface (MPI) and open multiple processing (OpenMP) techniques. Speci
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49

Song, Fangying, Chuanju Xu, and George Em Karniadakis. "Computing Fractional Laplacians on Complex-Geometry Domains: Algorithms and Simulations." SIAM Journal on Scientific Computing 39, no. 4 (2017): A1320—A1344. http://dx.doi.org/10.1137/16m1078197.

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Luo, Y. "The analysis and computing of geometry object in information integration." International Journal of Computer Aided Engineering and Technology 4, no. 5 (2012): 465. http://dx.doi.org/10.1504/ijcaet.2012.048842.

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