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This work extends weak KAM theory to the case of a nonsmooth Lagrangian satisfying a superlinear growth condition. Using the solution of a weak KAM equation that is a stationary Hamilton-Jacobi equation and the proximal aiming method, we…

Optimization and Control · Mathematics 2025-12-01 Yurii Averboukh

A reduced-order model algorithm, called ALP, is proposed to solve nonlinear evolution partial differential equations. It is based on approximations of generalized Lax pairs. Contrary to other reduced-order methods, like Proper Orthogonal…

Numerical Analysis · Mathematics 2014-03-04 Jean-Frédéric Gerbeau , Damiano Lombardi

We present a numerical method for the minimization of constrained optimization problems where the objective is augmented with large quadratic penalties of inconsistent equality constraints. Such objectives arise from quadratic integral…

Optimization and Control · Mathematics 2021-08-16 Martin Neuenhofen , Eric Kerrigan

The log-homotopy particle flow filter resolves the Bayesian update by transporting particles along a continuous trajectory in pseudo-time. However, the governing partial differential equation for the flow velocity is fundamentally…

Systems and Control · Electrical Eng. & Systems 2026-05-18 Olivér Törő , Domonkos Csuzdi , Tamás Bécsi

The hierarchical equations of motion (HEOM) approach is an accurate method to simulate open system quantum dynamics, which allows for systematic convergence to numerically exact results. To represent the effects of the bath, the reservoir…

Strongly Correlated Electrons · Physics 2023-05-31 Xiaohan Dan , Meng Xu , J. T. Stockburger , J. Ankerhold , Qiang Shi

We propose an inexact proximal augmented Lagrangian method (P-ALM) for nonconvex structured optimization problems. The proposed method features an easily implementable rule not only for updating the penalty parameters, but also for…

Optimization and Control · Mathematics 2025-09-04 Adeyemi D. Adeoye , Puya Latafat , Alberto Bemporad

Nonlinear partial differential equations (PDEs) are crucial for modeling complex fluid dynamics and are foundational to many computational fluid dynamics (CFD) applications. However, solving these nonlinear PDEs is challenging due to the…

Recent matrix completion based methods have not been able to properly model the Haplotype Assembly Problem (HAP) for noisy observations. To cope with such a case, in this letter we propose a new Minimum Error Correction (MEC) based matrix…

Optimization and Control · Mathematics 2019-04-16 Mohamad Mahdi Mohades , Sina Majidian , Mohammad Hossein Kahaei

A Hamiltonian algorithm, both theoretical and numerical, to obtain the reduced equations implementing Pontryagine's Maximum Principle for singular linear-quadratic optimal control problems is presented. This algorithm is inspired on the…

Optimization and Control · Mathematics 2012-04-13 M. Delgado-Tellez , A. Ibort

We consider the numerical construction of minimal Lagrangian graphs, which is related to recent applications in materials science, molecular engineering, and theoretical physics. It is known that this problem can be formulated as an…

Numerical Analysis · Mathematics 2021-07-01 Brittany Froese Hamfeldt , Jacob Lesniewski

The non-linear collision-induced breakage equation has significant applications in particulate processes. Two semi-analytical techniques, namely homotopy analysis method (HAM) and accelerated homotopy perturbation method (AHPM) are…

Numerical Analysis · Mathematics 2024-03-14 Sanjiv Kumar Bariwal , Saddam Hussain , Rajesh Kumar

The paper begins with a novel variational formulation of Duffing equation using the extended framework of Hamilton's principle (EHP). This formulation properly accounts for initial conditions, and it recovers all the governing differential…

Numerical Analysis · Computer Science 2019-03-18 Jinkyu Kim , Hyeonseok Lee , Jinwon Shin

In a recent article \cite{manimegalai2019}, Aboodh transform based homotopy perturbation method ($AT$) has been found to produce approximate analytical solutions in a simple way but with better accuracy in comparison to those obtained from…

Computational Engineering, Finance, and Science · Computer Science 2020-10-05 C. F. Sagar Zephania , Tapas Sil

To construct a parallel approach for solving optimization problems with orthogonality constraints is usually regarded as an extremely difficult mission, due to the low scalability of the orthonormalization procedure. However, such demand is…

Optimization and Control · Mathematics 2021-11-16 Bin Gao , Xin Liu , Ya-xiang Yuan

In this study, a thorough investigation was conducted into the Homotopy Perturbation Method (HPM) and its application to solve the Burger and Blasius equations. The HPM is a mathematical technique that combines aspects of homotopy and…

Mathematical Physics · Physics 2023-10-31 Gbenga Onifade Ebenezer

We study the convergence rate of the proximal-gradient homotopy algorithm applied to norm-regularized linear least squares problems, for a general class of norms. The homotopy algorithm reduces the regularization parameter in a series of…

Optimization and Control · Mathematics 2016-09-28 Reza Eghbali , Maryam Fazel

A simple procedure is presented to study the conservation of energy equation with dissipation in continuum mechanics in 1D. This procedure is used to transform this nonlinear evolution-diffusion equation into a hyperbolic PDE; specifically,…

Classical Physics · Physics 2020-08-13 Hamid A Said

In this paper a new approach is proposed to quantize mechanical systems whose equations of motion can not be put into Hamiltonian form. This approach is based on a new type of variational principle, which is adopted to a describe a…

Mathematical Physics · Physics 2011-04-04 Tianshu Luo , Yimu Guo

The homotopy analysis method is studied in the present paper. The question of convergence of the homotopy analysis method is resolved. It is proven that under a special constraint the homotopy analysis method does converge to the exact…

Mathematical Physics · Physics 2010-06-24 Mustafa Turkyilmazoglu

Nonlinear programming (NLP) plays a critical role in domains such as power energy systems, chemical engineering, communication networks, and financial engineering. However, solving large-scale, nonconvex NLP problems remains a significant…

Optimization and Control · Mathematics 2025-08-06 Mingze Li , Lei Fan , Zhu Han