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We propose an inertial forward-backward splitting algorithm to compute the zero of a sum of two monotone operators allowing for stochastic errors in the computation of the operators. More precisely, we establish almost sure convergence in…

Optimization and Control · Mathematics 2015-07-06 Lorenzo Rosasco , Silvia Villa , Bang Cong Vu

We consider a second order differential operator $A(\msx) = -\:\sum_{i,j=1}^d \partial_i a_{ij}(\msx) \partial_j \:+\: \sum_{j=1}^d \partial_j \big(b_j(\msx) \cdot \big)\:+\: c(\msx)$ on ${\bbR}^d$, on a bounded domain $D$ with Dirichlet…

Analysis of PDEs · Mathematics 2007-12-24 Nedzad Limić , Mladen Rogina

We study the properties of the logarithm of the derivative operator and show that its action on a constant is not zero, but yields the sum of the logarithmic function and the Euler-Mascheroni constant. We discuss more general aspects…

Classical Analysis and ODEs · Mathematics 2012-09-12 D. Babusci , G. Dattoli

We present a unified treatment of the abstract problem of finding the best approximation between a cone and spheres in the image of affine transformations. Prominent instances of this problem are phase retrieval and source localization. The…

Optimization and Control · Mathematics 2020-03-26 D. Russell Luke , Shoham Sabach , Marc Teboulle

Algorithms for the computation of the real zeros of hypergeometric functions which are solutions of second order ODEs are described. The algorithms are based on global fixed point iterations which apply to families of functions satisfying…

Numerical Analysis · Mathematics 2025-10-20 Amparo Gil , Wolfram Koepf , Javier Segura

This work proposes a conformable fractional predictor-corrector algorithm for solving conformable fractional differential equations. Fractional calculus is finding applications in various scientific fields, but existing numerical methods…

Numerical Analysis · Mathematics 2024-06-25 Mohamed Echchehira , Youness Assebbane , Mustapha Atraoui , Mohamed Bouaouid

A zero-finding technique for solving nonlinear equations more efficiently than they usually are with traditional iterative methods in which the order of convergence is improved is presented. The key idea in deriving this procedure is to…

Numerical Analysis · Mathematics 2011-06-07 Miquel Grau-Sánchez , José Luis Díaz-Barrero

We provide new insight into the convergence properties of the Douglas-Rachford algorithm for the problem $\min_x \{f(x)+g(x)\}$, where $f$ and $g$ are convex functions. Our approach relies on and highlights the natural primal-dual symmetry…

Optimization and Control · Mathematics 2021-11-12 Javier Peña , Juan C. Vera , Luis F. Zuluaga

We present modifications of the second-order Douglas stabilizing corrections method, which is a splitting method based on the implicit trapezoidal rule. Inclusion of an explicit term in a forward Euler way is straightforward, but this will…

Numerical Analysis · Mathematics 2015-12-07 A. Arraras , K. J. in't Hout , W. Hundsdorfer , L. Portero

In this paper, we approach the problem of finding the zeros of the sum of a maximally monotone operator and a monotone and Lipschitz continuous one in a real Hilbert space via an implicit forward-backward-forward dynamical system with…

Optimization and Control · Mathematics 2015-04-23 Sebastian Banert , Radu Ioan Bot

We begin by considering second order dynamical systems of the from $\ddot x(t) + \gamma(t)\dot x(t) + \lambda(t)B(x(t))=0$, where $B: {\cal H}\rightarrow{\cal H}$ is a cocoercive operator defined on a real Hilbert space ${\cal H}$,…

Optimization and Control · Mathematics 2016-03-10 Radu Ioan Bot , Ernö Robert Csetnek

We introduce regularity notions for averaged nonexpansive operators. Combined with regularity notions of their fixed point sets, we obtain linear and strong convergence results for quasicyclic, cyclic, and random iterations. New convergence…

Optimization and Control · Mathematics 2014-02-25 Heinz H. Bauschke , Dominikus Noll , Hung M. Phan

Several aspects of the interplay between monotone operator theory and convex optimization are presented. The crucial role played by monotone operators in the analysis and the numerical solution of convex minimization problems is emphasized.…

Optimization and Control · Mathematics 2018-06-05 Patrick L. Combettes

We consider the application of the Douglas-Rachford (DR) algorithm to solve linear-quadratic (LQ) control problems with box constraints on the state and control variables. We split the constraints of the optimal control problem into two…

Optimization and Control · Mathematics 2024-01-17 Regina S. Burachik , Bethany I. Caldwell , C. Yalçın Kaya

The Douglas' majorization and factorization theorem characterizes the inclusion of operator ranges in Hilbert spaces. Notably, it reinforces the well-established connections between the inclusion of kernels of operators in Hilbert spaces…

Functional Analysis · Mathematics 2024-11-15 Pierre Lissy

In this paper, we present a scheme for uncovering hidden chaotic attrac- tors in nonlinear autonomous systems of fractional order. The stability of equilibria of fractional-order systems is analyzed. The underlying initial value problem is…

Chaotic Dynamics · Physics 2018-05-01 Marius-F. Danca

All Rota-Baxter operators of weight zero on split octonion algebra over a~field of characteristic not 2 are classified up to conjugation by automorphisms and antiautomorphisms. Thus, the classification of Rota-Baxter operators on…

Rings and Algebras · Mathematics 2024-06-25 A. S. Panasenko

The splitting algorithms of monotone operator theory find zeros of sums of relations. This corresponds to solving series or parallel one-port electrical circuits, or the negative feedback interconnection of two subsystems. One-port circuits…

Optimization and Control · Mathematics 2022-08-10 Thomas Chaffey , Amritam Das , Rodolphe Sepulchre

While global convergence of the Douglas-Rachford iteration is often observed in applications, proving it is still limited to convex and a handful of other special cases. Lyapunov functions for difference inclusions provide not only global…

Optimization and Control · Mathematics 2018-10-17 Ohad Giladi , Björn S. Rüffer

In this paper the degenerate preconditioned proximal point algorithm will be combined with the idea of varying preconditioners leading to the degenerate variable metric proximal point algorithm. The weak convergence of the resulting…

Optimization and Control · Mathematics 2023-02-28 Dirk A. Lorenz , Jannis Marquardt , Emanuele Naldi
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