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We present guidelines for deriving new Nitsche Finite Element Methods to enforce equality and inequality constraints that act on the value of the unknown mechanical quantity. We first formulate the problem as a stabilized finite element…

Numerical Analysis · Mathematics 2026-05-01 Tom Gustafsson , Antti Hannukainen , Vili Kohonen , Juha Videman

Lagrangian relaxation is a versatile mathematical technique employed to relax constraints in an optimization problem, enabling the generation of dual bounds to prove the optimality of feasible solutions and the design of efficient…

Artificial Intelligence · Computer Science 2023-12-25 Augustin Parjadis , Quentin Cappart , Bistra Dilkina , Aaron Ferber , Louis-Martin Rousseau

Polynomial algebra offers a standard approach to handle several problems in geometric modeling. A key tool is the discriminant of a univariate polynomial, or of a well-constrained system of polynomial equations, which expresses the…

Algebraic Geometry · Mathematics 2013-04-23 Alicia Dickenstein , Ioannis Emiris , Anna Karasoulou

A stochastic differential equation with infinite memory is considered. The drift coefficient of the equation is a nonlinear functional of the past history of the solution. Sufficient conditions for existence and uniqueness of stationary…

Probability · Mathematics 2007-05-23 Yuri Bakhtin

The theory of boundary regularity for $p$-harmonic functions is extended to unbounded open sets in complete metric spaces with a doubling measure supporting a $p$-Poincar\'e inequality, $1<p<\infty$. The barrier classification of regular…

Analysis of PDEs · Mathematics 2020-01-07 Anders Björn , Daniel Hansevi

We propose a new approach to the combinatorial interpretations of linearization coefficient problem of orthogonal polynomials. We first establish a difference system and then solve it combinatorially and analytically using the method of…

Classical Analysis and ODEs · Mathematics 2012-11-20 Mourad E. H. Ismail , Anisse Kasraoui , Jiang Zeng

Sequential quadratic optimization algorithms are proposed for solving smooth nonlinear optimization problems with equality constraints. The main focus is an algorithm proposed for the case when the constraint functions are deterministic,…

Optimization and Control · Mathematics 2020-07-22 Albert Berahas , Frank E. Curtis , Daniel P. Robinson , Baoyu Zhou

Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering applications, the objective function is typically calculated with a numerically costly black-box…

Optimization and Control · Mathematics 2022-05-04 Jhouben Cuesta-Ramirez , Rodolphe Le Riche , Olivier Roustant , Guillaume Perrin , Cedric Durantin , Alain Gliere

A mechanical covariant equation is introduced which retains all the effectingness of the Lagrange equation while being able to describe in a unified way other phenomena including friction, non-holonomic constraints and energy radiation…

Mathematical Physics · Physics 2015-10-26 E. Minguzzi

We consider optimization problems with a disjunctive structure of the constraints. Prominent examples of such problems are mathematical programs with equilibrium constraints or vanishing constraints. Based on the concepts of directional…

Optimization and Control · Mathematics 2016-11-28 Helmut Gfrerer

It is shown that, by imposing reparametrization invariance, one may derive a variety of stochastic equations describing the dynamics of surface growth and identify the physical processes responsible for the various terms. This approach…

Condensed Matter · Physics 2009-10-28 M. Marsili , A. Maritan , F. Toigo , J. R. Banavar

We consider certain analytical features of a stochastic model that can explain among other things competition among species and simultaneous predation on the competing species from a geometric perspective which allows for a systematic…

Populations and Evolution · Quantitative Biology 2021-01-28 Sudip Garai , A Ghose-Choudhury , Partha Guha

Integer programming with block structures has received considerable attention recently and is widely used in many practical applications such as train timetabling and vehicle routing problems. It is known to be NP-hard due to the presence…

Optimization and Control · Mathematics 2024-07-01 Rui Wang , Chuwen Zhang , Shanwen Pu , Jianjun Gao , Zaiwen Wen

We study the conjugate gradient method for solving s system of linear equations with coefficients which are measurable functions and establish the rate of convergence of this method.

Number Theory · Mathematics 2014-09-08 King-Fai Lai

We characterize the existence of the $L^1$ solutions of the truncated moments problem in several real variables on unbounded supports by the existence of the maximum of certain concave Lagrangian functions. A natural regularity assumption…

Functional Analysis · Mathematics 2012-09-04 Calin-Grigore Ambrozie

In this paper, we present a new set-valued Lagrange multiplier theorem for constrained convex set-valued optimization problems. We introduce the novel concept of Lagrange process. This concept is a natural extension of the classical concept…

Optimization and Control · Mathematics 2024-01-19 Fernando García-Castaño , M. A. Melguizo Padial

In this paper we consider feedback stabilization for parabolic variational inequalities of obstacle type with time and space depending reaction and convection coefficients and show exponential stabilization to nonstationary trajectories.…

Optimization and Control · Mathematics 2021-04-06 Axel Kröner , Carlos N. Rautenberg , Sérgio S. Rodrigues

In this paper we discuss mechanical systems with inequality constraints. We demonstrate how such constraints can be taken into account by proper modification of the action which describes the original unconstrained dynamics. To illustrate…

Classical Physics · Physics 2023-04-25 Andrei V. Frolov , Valeri P. Frolov

We propose a model for the coupling between free fluid and a linearized poro-hyperelastic body. In this model, the Brinkman equation is employed for fluid flow in the porous medium, incorporating inertial effects into the fluid dynamics. A…

Numerical Analysis · Mathematics 2024-07-19 Aparna Bansal , Nicolás A. Barnafi , Dwijendra Narain Pandey , Ricardo Ruiz-Baier

We consider the problem of minimizing a function, which is the sum of a linear function and a composition of a strongly convex function with a linear transformation, over a compact polyhedral set. Jaggi and Lacoste-Julien [14] showed that…

Optimization and Control · Mathematics 2015-04-21 Amir Beck , Shimrit Shtern
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