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We introduce a definition of the volume for a general rectangular matrix, which for square matrices is equivalent to the absolute value of the determinant. We generalize results for square maximum-volume submatrices to the case of…

Numerical Analysis · Mathematics 2017-11-28 A. Mikhalev , I. V. Oseledets

We study the probability distribution P(M) of the order parameter (average magnetization) M, for the finite-size systems at the critical point. The systems under consideration are the 3-dimensional Ising model on a simple cubic lattice, and…

Statistical Mechanics · Physics 2009-10-31 M. M. Tsypin , H. W. J. Blöte

Penetration depth (PD) is essential for robotics due to its extensive applications in dynamic simulation, motion planning, haptic rendering, etc. The Expanding Polytope Algorithm (EPA) is the de facto standard for this problem, which…

Robotics · Computer Science 2024-09-06 Wei Gao

By fitting the classical Rotating Vector Model (RVM) to high quality polarization data for selected radio pulsars, we find the inclination of the magnetic axis to the spin axis, alpha, as well as the minimum angle between the line of sight…

Astrophysics · Physics 2009-10-31 J. E. Everett , J. M. Weisberg

We present an alternative procedure to eliminate irregular contributions in the perturbation expansion of c=0-matrix models representing the sum over triangulations of random surfaces, thereby reproducing the results of Tutte [1] and Brezin…

High Energy Physics - Lattice · Physics 2011-09-13 Antje Schneider , Thomas Filk

In the last decade, the perfectly matched layer (PML) approach has proved a flexible and accurate method for the simulation of waves in unbounded media. Most PML formulations, however, usually require wave equations stated in their standard…

Numerical Analysis · Mathematics 2010-01-05 Marcus J. Grote , Imbo Sim

In this paper, a novel linear formulation for power system state estimation that simultaneously treats conventional and synchrophasor measurements is proposed. A linear circuit model for conventional measurements is introduced to enable a…

Signal Processing · Electrical Eng. & Systems 2018-12-04 Aleksandar Jovicic , Marko Jereminov , Larry Pileggi , Gabriela Hug

We endeavour to estimate numerous multi-dimensional means of various probability distributions on a common space based on independent samples. Our approach involves forming estimators through convex combinations of empirical means derived…

Machine Learning · Statistics 2025-03-11 Gilles Blanchard , Jean-Baptiste Fermanian , Hannah Marienwald

We consider orthogonal polynomials with respect to the weight $|z^2+a^2|^{cN}e^{-N|z|^2}$ in the whole complex plane. We obtain strong asymptotics and the limiting normalized zero counting measure (mother body) of the orthogonal polynomials…

Classical Analysis and ODEs · Mathematics 2026-03-24 Mario Kieburg , Arno B. J. Kuijlaars , Sampad Lahiry

In this paper we give a new and simple algorithm to put any multivariate polynomial into a normal determinant form in which each entry has the form , and in each column the same variable appears. We also apply the algorithm to obtain a…

Numerical Analysis · Mathematics 2019-03-21 Massimo Salvi

The matrix $p \rightarrow q$ norm is a fundamental quantity appearing in a variety of areas of mathematics. This quantity is known to be efficiently computable in only a few special cases. The best known algorithms for approximately…

Data Structures and Algorithms · Computer Science 2023-11-15 Larry Guth , Dominique Maldague , John Urschel

Several novel wind energy systems produce wakes with annular cross-sections, which are qualitatively different from the wakes with circular cross-sections commonly generated by conventional horizontal-axis wind turbines and by compact…

Fluid Dynamics · Physics 2021-09-27 Sam Kaufman-Martin , Nicholas Naclerio , Pedro May , Paolo Luzzatto-Fegiz

We establish annealed and quenched invariance principles for random walks in random conductances lifted to the p-variation rough path topology, allowing for degenerate environments and long-range jumps. Our proof is based on a unified…

Probability · Mathematics 2026-04-17 Johannes Bäumler , Noam Berger , Tal Orenshtein , Martin Slowik

When a convex perfectly conducting inclusion is closely spaced to the boundary of the matrix domain, a bigger convex domain containing the inclusion, the electric field can be arbitrary large. We establish both the pointwise upper bound and…

Analysis of PDEs · Mathematics 2017-05-15 Haigang Li , Longjuan Xu

We develop a new interior-point method (IPM) for symmetric-cone optimization, a common generalization of linear, second-order-cone, and semidefinite programming. In contrast to classical IPMs, we update iterates with a geodesic of the cone…

Optimization and Control · Mathematics 2023-01-18 Frank Permenter

Rotne-Prager-Yamakawa approximation is one of the most commonly used methods of including hydrodynamic interactions in modelling of colloidal suspensions and polymer solutions. The two main merits of this approximation is that it includes…

Fluid Dynamics · Physics 2015-06-16 Eligiusz Wajnryb , Krzysztof A. Mizerski , Pawel J. Zuk , Piotr Szymczak

Representing a polygon using a set of simple shapes has numerous applications in different use-case scenarios. We consider the problem of covering the interior of a rectilinear polygon with holes by a set of area-weighted, axis-aligned…

Computational Geometry · Computer Science 2023-12-15 Kathrin Hanauer , Martin P. Seybold , Julian Unterweger

Wind turbines are often controlled to harvest the maximum power from the wind, which corresponds to the operation at the top of the bell-shaped power coefficient graph. Such a mode of operation may be achieved implementing an extremum…

Systems and Control · Electrical Eng. & Systems 2021-12-21 Alexey Bobtsov , Romeo Ortega , Stanislav Aranovskiy , Rafael Cisneros

Suppose that a mobile sensor describes a Markovian trajectory in the ambient space. At each time the sensor measures an attribute of interest, e.g., the temperature. Using only the location history of the sensor and the associated…

Statistics Theory · Mathematics 2017-10-02 Romain Azaïs , Bernard Delyon , François Portier

We propose a rectangular rotational invariant estimator to recover a real matrix from noisy matrix observations coming from an arbitrary additive rotational invariant perturbation, in the large dimension limit. Using the Bayes-optimality of…

Information Theory · Computer Science 2023-04-25 Farzad Pourkamali , Nicolas Macris