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Surface parameterizations and registrations are important in computer graphics and imaging, where 1-1 correspondences between meshes are computed. In practice, surface maps are usually represented and stored as 3D coordinates each vertex is…

Multimedia · Computer Science 2012-10-31 Lok Ming Lui , Ka Chun Lam , Tsz Wai Wong , XianFeng Gu

Surface mapping plays an important role in geometric processing. They induce both area and angular distortions. If the angular distortion is bounded, the mapping is called a {\it quasi-conformal} map. Many surface maps in our physical world…

Numerical Analysis · Mathematics 2024-07-29 W. Zeng , L. M. Lui , F. Luo , J. S. Liu , T. F. Chan , S. T. Yau , X. F. Gu

Matrix representations are a powerful tool for designing efficient algorithms for combinatorial optimization problems such as matching, and linear matroid intersection and parity. In this paper, we initiate the study of matrix…

Optimization and Control · Mathematics 2024-10-18 Taihei Oki , Tasuku Soma

We propose a method to compute the numerical solutions of a polynomial system in complete intersection. This algorithm makes use of Bezout matrices and need only linear algebra computations. All the calculations can be done in floating…

Commutative Algebra · Mathematics 2016-10-03 Jean-Paul Cardinal

New algorithms are presented for numerical conformal mapping based on rational approximations and the solution of Dirichlet problems by least-squares fitting on the boundary. The methods are targeted at regions with corners, where the…

Complex Variables · Mathematics 2019-11-12 Lloyd N. Trefethen

A fast and accurate algorithm for solving a Bernstein-Vandermonde linear system is presented. The algorithm is derived by using results related to the bidiagonal decomposition of the inverse of a totally positive matrix by means of Neville…

Numerical Analysis · Mathematics 2007-05-23 A. Marco , J. J. Martinez

Many practical problems involve the recovery of a binary matrix from partial information, which makes the binary matrix completion (BMC) technique received increasing attention in machine learning. In particular, we consider a special case…

Machine Learning · Computer Science 2019-04-09 Chunsheng Liu

We study the problem of hierarchical clustering on planar graphs. We formulate this in terms of an LP relaxation of ultrametric rounding. To solve this LP efficiently we introduce a dual cutting plane scheme that uses minimum cost perfect…

Data Structures and Algorithms · Computer Science 2015-09-11 Julian Yarkony , Charless C. Fowlkes

We present a systematic technique to find explicit solutions of birational maps, provided that these solutions are given in terms of elliptic functions. The two main ingredients are: (i) application of classical addition theorems for…

Exactly Solvable and Integrable Systems · Physics 2019-11-11 Matteo Petrera , Andreas Pfadler , Yuri B. Suris

This paper introduces bootstrap multigrid methods for solving eigenvalue problems arising from the discretization of partial differential equations. Inspired by the full bootstrap algebraic multigrid (BAMG) setup algorithm that includes an…

Numerical Analysis · Mathematics 2023-01-11 James Brannick , Shuhao Cao

This paper is a survey on universal algorithms for solving the matrix Bellman equations over semirings and especially tropical and idempotent semirings. However, original algorithms are also presented. Some applications and software…

Rings and Algebras · Mathematics 2014-01-20 Grigory L. Litvinov , Anatoly Ya. Rodionov , Sergei N. Sergeev , Andrei N. Sobolevski

One of the two existing strategies of resolving singularities of multifold Mellin-Barnes integrals in the dimensional regularization parameter, or a parameter of the analytic regularization, is formulated in a modified form. The…

High Energy Physics - Phenomenology · Physics 2009-07-24 A. V. Smirnov , V. A. Smirnov

The linearly constrained matrix rank minimization problem is widely applicable in many fields such as control, signal processing and system identification. The tightest convex relaxation of this problem is the linearly constrained nuclear…

Optimization and Control · Mathematics 2009-05-12 Shiqian Ma , Donald Goldfarb , Lifeng Chen

In order to perform numerical studies of long-term stability in nonlinear Hamiltonian systems, one needs a numerical integration algorithm which is symplectic. Further, this algorithm should be fast and accurate. In this paper, we propose…

Exactly Solvable and Integrable Systems · Physics 2009-11-07 Govindan Rangarajan

Subject of this paper is an implementation of a well-known Motzkin-Burger algorithm, which solves the problem of finding the full set of solutions of a system of linear homogeneous inequalities. There exist a number of implementations of…

Computational Geometry · Computer Science 2007-05-23 P. A. Burovsky

The inversion problem for rational B\'ezier curves is addressed by using resultant matrices for polynomials expressed in the Bernstein basis. The aim of the work is not to construct an inversion formula but finding the corresponding value…

Numerical Analysis · Mathematics 2010-07-19 Ana Marco , José-Javier Martinez

In this article a modified Levenberg-Marquardt method coupled with a Kaczmarz strategy for obtaining stable solutions of nonlinear systems of ill-posed operator equations is investigated. We show that the proposed method is a convergent…

Numerical Analysis · Mathematics 2020-11-20 J. Baumeister , B. Kaltenbacher , A. Leitao

Computing the real solutions to a system of polynomial equations is a challenging problem, particularly verifying that all solutions have been computed. We describe an approach that combines numerical algebraic geometry and sums of squares…

Numerical Analysis · Mathematics 2016-02-03 Daniel A. Brake , Jonathan D. Hauenstein , Alan C. Liddell

An efficient geometric integrator is proposed for solving the perturbed Kepler motion. This method is stable and accurate over long integration time, which makes it appropriate for treating problems in astrophysics, like solar system…

Computational Physics · Physics 2009-11-13 G. S. Balaraman , D. Vrinceanu

The capability of discretization of matrix elements in the problem of quadratic functional minimization with linear member built on matrix in N-dimensional configuration space with discrete coordinates is researched. It is shown, that…

Neural and Evolutionary Computing · Computer Science 2012-05-04 Boris Kryzhanovsky , Mikhail Kryzhanovsky , Magomed Malsagov