Results 11 to 20 of about 607,453 (284)
Shenzhen Daxue xuebao. Ligong banTo solve the problem of slow generation of multiple viewpoint projection hologram, a novel method for synthesizing Fresnel holograms based on graphics processing unit (GPU) is proposed with multiple angular orthogonal projection images. Firstly, multiple
CAO Xuemei +6 more
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Point Orthogonal Projection onto a Spatial Algebraic Curve
Mathematics, 2020 Point orthogonal projection onto a spatial algebraic curve plays an important role in computer graphics, computer-aided geometric design, etc. We propose an algorithm for point orthogonal projection onto a spatial algebraic curve based on Newton’s ...
Taixia Cheng +3 more
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On the Orthogonal Projection of a Belief Function [PDF]
, 2007 In this paper we study a new probability associated with any given belief function b, i.e. the orthogonal projection π[b] of b onto the probability simplex P. We provide an interpretation of π[b] in terms of a redistribution process in which the mass of each focal element is equally distributed among its subsets, establishing an interesting analogy ...
Cuzzolin, Fabio, Fabio Cuzzolin
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COMPUTER GRAPHICAL REPRESENTATION, IN TREBLE ORTHOGONAL PROJECTION, OF A POINT
Journal of Industrial Design and Engineering Graphics, 2017 In the stages of understanding and study, by students, of descriptive geometry, the treble orthogonal projection of a point, creates problems in the situations in that one or more descriptive coordinates are zero.
Andrei Slonovschi, Liviu Pruna
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On orthogonal polynomials and related discrete integrable systems [PDF]
, 2006 Orthogonal polynomials arise in many areas of mathematics and have been the subject of interest by many mathematicians. In recent years this interest has often arisen from outside the orthogonal polynomial community after their connection with ...
Spicer, Paul Edward
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Kaczmarz method with oblique projection
Results in Applied Mathematics, 2022 The popular randomized Kaczmarz method is a single random orthogonal projection method. In this paper, a single randomized Kaczmarz method with oblique projection is discussed.
Weiguo Li +3 more
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Performance Analysis of Oblique Projection Filtering Based on Polarization Sensitive Array
Leida xuebao, 2013 The output SINR (Signal to Interference and Noise Ratio) of oblique projection and orthogonal projection filtering based on polarization sensitive array is investigated.
Tian Jing, Liao Gui-sheng, Yang Zhi-wei
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Orthogonal random projection for tensor completion
IET Computer Vision, 2020 The low‐rank tensor completion problem, which aims to recover the missing data from partially observable data. However, most of the existing tensor completion algorithms based on Tucker decomposition cannot avoid using singular value decomposition (SVD ...
Yali Feng, Guoxu Zhou
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Orthogonal distance fitting of precision free form surfaces based on l1 norm [PDF]
, 2008 Precision free-form surfaces are widely used in advanced optical and mechanical devices. In order to evaluate the form quality of a free-form surface, it is required to fit the measurement data with the design template and compare the relative deviation ...
Zhang, Xiangchao +2 more
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Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
Yuanzineng kexue jishu, 2023 In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
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