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[PDF] Top 20 Geometric Discretization through Primal Dual Meshes

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Geometric Discretization through Primal Dual Meshes

Geometric Discretization through Primal Dual Meshes

... Implementation. Our implementation makes use of the CGAL library [CGA14] to construct power diagrams in 2D and 3D. For the clipping procedure, we used a mirroring strategy that first detects dual facets ... See full document

101

Geometric discretization of Lagrangian mechanics and field theories

Geometric discretization of Lagrangian mechanics and field theories

... a primal mesh K , the dual mesh ∗ K is defined as the Voronoi dual of K restricted to K ...the dual cells extending outside of K ; compare Figure  ...a dual vertex at the circumcenter ... See full document

117

Theory and algorithms for cubic L1 splines

Theory and algorithms for cubic L1 splines

... the geometric programming frame- ...the geometric dual that we obtain, common optimization techniques [11, 30] need to solve a series of linear programming sub-problems ...the discretization ... See full document

139

Design of dynamic algorithms via primal dual method

Design of dynamic algorithms via primal dual method

... a primal constraint becomes tight, stop the growth of all the primal variables involved in that constraint, and update accordingly the corresponding dual ...This primal growth process is used ... See full document

13

Duality in linear programming

Duality in linear programming

... If only the i-th restriction varies, it is deduced that the i-th dual variable (in the optimal point) can be considered the marginal value of the problem modifying the i-th restriction. In typical economic ... See full document

10

Necessary and sufficient quantum information characterization of Einstein-Podolsky-Rosen steering

Necessary and sufficient quantum information characterization of Einstein-Podolsky-Rosen steering

... the dual of Φ with respect to the Hilbert- Schmidt inner product, and Y is another matrix ...the primal and dual problems ...the primal and dual problems are both feasible, and moreover ... See full document

5

A primal dual algorithm framework for convex saddle point optimization

A primal dual algorithm framework for convex saddle point optimization

... a primal-dual-based contraction framework in the prediction-correction ...linearized primal-dual method, SIU, Breg- man operator splitting method, and split Bregman method can be considered as ... See full document

16

Common Space Embedding of Primal Dual Relation Semantic Spaces

Common Space Embedding of Primal Dual Relation Semantic Spaces

... semantic space and common space embedding approach can be viewed as extensions of their work by introducing feature spaces as characterizations. This extension enables to utilize each space’s character- izations and ... See full document

12

FESOM-C v.2: coastal dynamics on hybrid unstructured meshes

FESOM-C v.2: coastal dynamics on hybrid unstructured meshes

... Code and data availability. The version of FESOM-C v.2 used to carry out simulations reported here can be accessed from https://doi.org/10.5281/zenodo.2085177. The General Ocean Tur- bulence Model (GOTM) (Burchard et ... See full document

20

A Primal Dual Simplex Algorithm for Solving Linear Programming Problems with Symmetric Trapezoidal Fuzzy Numbers

A Primal Dual Simplex Algorithm for Solving Linear Programming Problems with Symmetric Trapezoidal Fuzzy Numbers

... the dual of FNLP problem as a similar problem that lead to an efficient algorithm called the dual simplex algorithm [16] for solving FNLP ...fuzzy primal simplex me- thod to solve the flexible linear ... See full document

9

Eigenvalue extraction from time domain computations

Eigenvalue extraction from time domain computations

... hexahedron discretization mesh in time domain is carried out with the transient solver from CST MWS and it detects and records the electric field intensity at specific field detection probes placed at various ... See full document

7

Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization

Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization

... The mini-batch SPDC method in Algorithm 2 is a natural extension of Algorithm 1. The difference between these two algorithms is that, the mini-batch SPDC method may simultaneously select more than one dual ... See full document

42

Construction and Application of 3 Point Tensor Product Scheme

Construction and Application of 3 Point Tensor Product Scheme

... In this paper, we employ Laurent polynomial method to analyze the continuity of the proposed scheme. The mo- tivation behind our work was to provide users with a simple smoothing tool for polygonal meshes. The ... See full document

9

State Estimation of the Tanzanian Power System Network Using Non-Quadratic Criterion and MATLAB Environment

State Estimation of the Tanzanian Power System Network Using Non-Quadratic Criterion and MATLAB Environment

... In this paper, the problem is set up as an optimization problem with a linear objective function subject to a set of non-linear constraints resulting from the measurement errors. Primal-dual logarithmic ... See full document

11

Factorizable inverse monoids

Factorizable inverse monoids

... and dual) restriction monoids are then the factorizable parts of the inverse monoids of partial automorphisms and of bicongruences on A: The partial automorphism monoid PA (A) on a universal algebra A is ... See full document

27

Primal and Dual Algorithms for Optimization over the Efficient Set

Primal and Dual Algorithms for Optimization over the Efficient Set

... Optimisation over the efficient set of a multi-objective optimisation problem is a mathematical model for the problem of selecting a most preferred solution that arises in multiple criteria decision making to account for ... See full document

27

Coupled-decompositions: exploiting primal–dual interactions in convex optimization problems

Coupled-decompositions: exploiting primal–dual interactions in convex optimization problems

... optimization, primal variables are inter- preted as resources and dual variables as prices to be paid for ...the primal projection corrects the allocation in order to distribute all the available ... See full document

18

Performance of Three Preconditioners for Image Deblurring Problem in Primal-Dual Formulation

Performance of Three Preconditioners for Image Deblurring Problem in Primal-Dual Formulation

... The first preconditioner is based on approximating the product of the BTTB matrix and its transpose by a symmetric BTTB matrix while in the second one, we approximate the BTTB matrix by [r] ... See full document

6

A Comparative study on Algorithms for Shortest-Route Problem and Some Extensions

A Comparative study on Algorithms for Shortest-Route Problem and Some Extensions

... the dual of the formulated linear programming problem [3] and determined the shortest ...the primal problem from the solution of the dual problem and determined the shortest distance as well as the ... See full document

11

Discrete-Time Constrained Portfolio Optimization: Strong Duality Analysis

Discrete-Time Constrained Portfolio Optimization: Strong Duality Analysis

... A crucial question is the existence guarantee of such a  ˆ for achieving strong duality. Pliska states the following in [1]: The obvious candidate for such a  ˆ is  * , the solution of the dual problem (D). ... See full document

8

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