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We introduce a randomized algorithm for computing the minimal-norm solution to an underdetermined system of linear equations. Given an arbitrary full-rank m x n matrix A with m<n, any m x 1 vector b, and any positive real number epsilon…

Numerical Analysis · Computer Science 2009-09-08 Mark Tygert

In the present work, firstly, we use a minimax equality to prove the existence of a solution of certain system of varitional equations and we provide a numerical approximation of such a solution. Then, we propose a numerical method to solve…

Numerical Analysis · Mathematics 2021-05-19 Ana Isabel Garralda-Guillem , Pablo Montiel López

We give a simple proof of the existence of a minimizer for the Sobolev inequality. Our proof is based on a representation formula via a cut-off fundamental solution.

Functional Analysis · Mathematics 2024-09-26 Megumi Sano

Dantzig and Eaves claimed that fundamental duality theorems of linear programming were a trivial consequence of Fourier elimination. Another property of Fourier elimination is considered here, regarding the existence of implicit equalities…

Discrete Mathematics · Computer Science 2019-08-23 Jean-Louis Lassez

We give a new proof for an equality of certain max-min and min-max approximation problems involving normal matrices. The previously published proofs of this equality apply tools from matrix theory, (analytic) optimization theory and…

Numerical Analysis · Mathematics 2013-10-23 Jörg Liesen , Petr Tichý

The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a diverse set of fields including system…

Optimization and Control · Mathematics 2010-08-09 Benjamin Recht , Maryam Fazel , Pablo A. Parrilo

When a physical system is modeled by a nonlinear function, the unknown parameters can be estimated by fitting experimental observations by a least-squares approach. Newton's method and its variants are often used to solve problems of this…

Numerical Analysis · Mathematics 2021-09-20 Federica Pes , Giuseppe Rodriguez

We present an optimization problem emerging from optimal control theory and situated at the intersection of fractional programming and linear max-min programming on polytopes. A na\"ive solution would require solving four nested, possibly…

Optimization and Control · Mathematics 2021-11-19 Jean-Baptiste Bouvier , Melkior Ornik

A simple method has been introduced to furnish the equilibrium solution of the Wigner equation for all order of the quantum correction. This process builds up a recursion relation involving the coefficients of the different power of the…

Statistical Mechanics · Physics 2015-06-19 Anirban Bose , M. S. Janaki

In this paper, we establish a priori estimates for a class of fully nonlinear equations with Neumann boundary conditions. By the continuity method, we have obtained the existence theorem for the Neumann problem.

Analysis of PDEs · Mathematics 2021-01-19 Chuan-Qiang Chen , Li Chen , Ni Xiang

Given $n \times n$ real symmetric matrices $A_1, \dots, A_m$, the following {\it spectral minimax} property holds: $$\min_{X \in \mathbf{\Delta}_n} \max_{y \in S_m} \sum_{i=1}^m y_iA_i \bullet X=\max_{y \in S_m} \min_{X \in…

Optimization and Control · Mathematics 2019-05-24 Bahman Kalantari

Convergence of the classical Newton's method and its DSM version for solving operator equations $F(u)=h$ is proved without any smoothness assumptions on $F'(u)$. It is proved that every solvable equation $F(u)=f$ can be solved by Newton's…

Functional Analysis · Mathematics 2009-11-04 A. G. Ramm

We provide a simple and short proof of the Karush-Kuhn-Tucker theorem with finite number of equality and inequality constraints. The proof relies on an elementary linear algebra lemma and the local inverse theorem.

Optimization and Control · Mathematics 2020-07-27 Ramzi May

We are concerned with the tensor equation with an M-tensor or Z-tensor, which we call the M- tensor equation or Z-tensor equation respectively. We derive a necessary and sufficient condition for a Z (or M)-tensor equation to have…

Optimization and Control · Mathematics 2018-12-27 Dong-Hui Li , Hong-Bo Guan , Xiao-Zhou Wang

Existence of solutions to doubly nonlinear equations in reflexive Banach spaces is established by resorting to a global-in-time variational approach inspired by De Giorgi's principle, which characterizes the associated flows as…

Analysis of PDEs · Mathematics 2026-03-03 Alessandro Pinzi , Filippo Riva , Giuseppe Savaré

In this article we consider a method for proving a class of analytical inequalities via minimax rational approximations. All numerical calculations in this paper are given by Maple computer program.

Classical Analysis and ODEs · Mathematics 2007-05-23 Branko J. Malesevic

In order to nd a non-negative solution to a system of inequalities, the corresponding dual problem is composed, which has a suitable unity basic matrix. In such a formulation, the objective function is replaced by set of constraints based…

Optimization and Control · Mathematics 2023-05-09 Jaan Übi , Evald Übi

We use the work of Milton, Seppecher, and Bouchitt\'{e} on variational principles for waves in lossy media to formulate a finite element method for solving the complex Helmholtz equation that is based entirely on minimization. In…

Numerical Analysis · Mathematics 2010-08-02 Russell B. Richins , David C. Dobson

We propose a novel proof technique that can be applied to attack a broad class of problems in computational complexity, when switching the order of universal and existential quantifiers is helpful. Our approach combines the standard min-max…

Cryptography and Security · Computer Science 2015-06-23 Maciej Skorski

We prove an easy version of the minimax theorem with no topological assumption. We deduce from it some domination criteria as well as an application to $p$-summing operators.

Functional Analysis · Mathematics 2022-08-25 Gianluca Cassese