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Related papers: A Randomized Version of the Collatz $3x + 1$ Probl…

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We prove the law of the iterated logarithm for discrepancies of the sequence $\{(3/2)^kx\}$.

Number Theory · Mathematics 2018-04-03 Katusi Fukuyama

We give a representation of the solution for a stochastic linear equation of the form $X_t=Y_t+\int_{(0,t]}X_{s-} \mathrm {d}{Z}_s$ where $Z$ is a c\'adl\'ag semimartingale and $Y$ is a c\'adl\'ag adapted process with bounded variation on…

Probability · Mathematics 2016-09-09 Offer Kella , Marc Yor

We propose a new algorithm solving the extended gcd problem, which provides a solution minimizing one of the two coordinates. The algorithm relies on elementary arithmetic properties.

Data Structures and Algorithms · Computer Science 2018-09-24 Marc Wolf , François Wolf , Corentin Le Coz

This paper provides a numerical approach for solving the linear stochastic Volterra integral equation using Walsh function approximation and the corresponding operational matrix of integration. A convergence analysis and error analysis of…

Numerical Analysis · Mathematics 2024-09-02 Prit Pritam Paikaray , Sanghamitra Beuria , Nigam Chandra Parida

The first numerical solution of the 3-D travel time tomography problem is presented. The globally convergent convexification numerical method is applied.

Numerical Analysis · Mathematics 2022-09-21 Michael V. Klibanova Jingzhi Li , Wenlong Zhang

We consider chance-constrained problems with discrete random distribution. We aim for problems with a large number of scenarios. We propose a novel method based on the stochastic gradient descent method which performs updates of the…

Optimization and Control · Mathematics 2019-05-28 Lukáš Adam , Martin Branda

We consider the population Wasserstein barycenter problem for random probability measures supported on a finite set of points and generated by an online stream of data. This leads to a complicated stochastic optimization problem where the…

Optimization and Control · Mathematics 2021-12-06 Daniil Tiapkin , Alexander Gasnikov , Pavel Dvurechensky

In this paper, we present approximation algorithms for combinatorial optimization problems under probabilistic constraints. Specifically, we focus on stochastic variants of two important combinatorial optimization problems: the k-center…

Data Structures and Algorithms · Computer Science 2008-09-03 Shipra Agrawal , Amin Saberi , Yinyu Ye

In this paper, we propose a stochastic method for solving equality constrained optimization problems that utilizes predictive variance reduction. Specifically, we develop a method based on the sequential quadratic programming paradigm that…

Optimization and Control · Mathematics 2023-03-28 Albert S. Berahas , Jiahao Shi , Zihong Yi , Baoyu Zhou

We study a class of random 3-SAT instances having exactly one solution. The properties of this ensemble considerably differ from those of a random 3-SAT ensemble. It is numerically shown that the running time of several complete and…

Artificial Intelligence · Computer Science 2007-05-23 Marko Znidaric

The LATIN method has been developed and successfully applied to a variety of deterministic problems, but few work has been developed for nonlinear stochastic problems. This paper presents a stochastic LATIN method to solve stochastic and/or…

Numerical Analysis · Mathematics 2023-09-06 Zhibao Zheng , David Néron , Udo Nackenhorst

In this paper three unrelated problems will be discussed. What connects them is the rich methodology of classical probability theory. In the first two problems we have a complete answer to the problems raised; in the third case, what we…

Probability · Mathematics 2024-06-28 Tamás F. Móri , Gábor J. Székely

We study the problem of sampling weighted partial triangulations of a convex polygon. We consider the distribution where each partial triangulation $\sigma$ is chosen with probability proportional to $\lambda^{|\sigma|}$, where $\lambda>0$…

Discrete Mathematics · Computer Science 2026-05-22 Antonio Blanca , Alexandre Stauffer , Izabella Stuhl

The Kaczmarz method is an iterative projection scheme for solving con-sistent system $Ax = b$. It is later extended to the inconsistent and ill-posed linear problems. But the classical Kaczmarz method is sensitive to the correlation of the…

Numerical Analysis · Mathematics 2022-10-04 Chuan-gang Kang , Heng Zhou

The randomized Kaczmarz (RK) method is an iterative method for approximating the least-squares solution of large linear systems of equations. The standard RK method uses sequential updates, making parallel computation difficult. Here, we…

Numerical Analysis · Mathematics 2020-02-12 Jacob D. Moorman , Thomas K. Tu , Denali Molitor , Deanna Needell

This paper gives an heuristic lower bound for the number of integers connected to 1 and less than $x$, $\theta(x) > 0.9x,$ in the context of the $3n+1$ problem.

Number Theory · Mathematics 2020-04-24 Jean-Jacques Daudin

We present a formulation of the Collatz conjecture that is potentially more amenable to modeling and analysis by automated termination checking tools.

Logic in Computer Science · Computer Science 2021-08-17 Ashish Tiwari

For some $\epsilon > 10^{-36}$ we give a randomized $3/2-\epsilon$ approximation algorithm for metric TSP.

Data Structures and Algorithms · Computer Science 2023-10-26 Anna R. Karlin , Nathan Klein , Shayan Oveis Gharan

We investigate constrained optimal control problems for linear stochastic dynamical systems evolving in discrete time. We consider minimization of an expected value cost over a finite horizon. Hard constraints are introduced first, and then…

Optimization and Control · Mathematics 2011-07-07 Eugenio Cinquemani , Mayank Agarwal , Debasish Chatterjee , John Lygeros

Under the 3x+1 problem, classified the number into four kind by mod 4. The four kind number can form a cycle base on 3x+b1 problem. Base on this cycle, if the number of kind number is zero the 3x+1 will be proofed.

General Mathematics · Mathematics 2015-06-09 Yanlong Zhou