Cover Image

Stochastic Finite Volume Method for Uncertainty Management in Gas Pipeline Network Flows

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kazi, Saif R., Misra, Sidhant, Tokareva, Svetlana, Sundar, Kaarthik, Zlotnik, Anatoly
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Computation 65Kxx, 90C35, 90C15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Locational Marginal Pricing of Energy in Pipeline Transport of Natural Gas and Hydrogen with Carbon Offset Incentives
by: Sodwatana, Mo, et al.
Published: (2023)

A Barrier Method for Contact Avoiding Particles in Stokes Flow
by: Broms, Anna, et al.
Published: (2023)

Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
by: Hellmuth, Kathrin, et al.
Published: (2025)

Sparse additive function decompositions facing basis transforms
by: Ba, Fatima Antarou, et al.
Published: (2024)

General Revenue Adequacy Conditions for Energy Transport Networks
by: Misra, Sidhant, et al.
Published: (2026)

Equitable Routing--Rethinking the Multiple Traveling Salesman Problem
by: Bhadoriya, Abhay Singh, et al.
Published: (2024)

Kinetic description and convergence analysis of genetic algorithms for global optimization
by: Borghi, Giacomo, et al.
Published: (2023)

On the Global Convergence of Particle Swarm Optimization Methods
by: Huang, Hui, et al.
Published: (2022)

Uniform-in-time mean-field limit estimate for the Consensus-Based Optimization
by: Huang, Hui, et al.
Published: (2024)

A Bregman ADMM for Bethe variational problem
by: Khoo, Yuehaw, et al.
Published: (2025)

Identification of Active Subfunctions in Finite-Max Minimisation via a Smooth Reformulation
by: Ras, Charl, et al.
Published: (2024)

Gaussian smoothing gradient descent for minimizing functions (GSmoothGD)
by: Starnes, Andrew, et al.
Published: (2023)

Adjustable Robust Nonlinear Network Design Without Controllable Elements under Load Scenario Uncertainties
by: Thürauf, Johannes, et al.
Published: (2024)

A particle consensus approach to solving nonconvex-nonconcave min-max problems
by: Borghi, Giacomo, et al.
Published: (2024)

Well-posedness and mean-field limit estimate of a consensus-based algorithm for min-max problems
by: Huang, Hui, et al.
Published: (2026)

Stochastic Approach for Price Optimization Problems with Decision-dependent Uncertainty
by: Hikima, Yuya, et al.
Published: (2023)

Stochastic Control Methods for Optimization
by: Qiu, Jinniao
Published: (2026)

A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization
by: Song, Yongcun, et al.
Published: (2024)

Solving Min-Cost Concave Generalized Dynamic Flows and Approximating Dynamic Optimal Power Flows
by: Rothschild, Jacob H.
Published: (2024)

Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
by: Berahas, Albert S., et al.
Published: (2025)

A Sequential Quadratic Programming Method for Optimization with Stochastic Objective Functions, Deterministic Inequality Constraints and Robust Subproblems
by: Qiu, Songqiang, et al.
Published: (2023)

Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis
by: Borghi, Giacomo, et al.
Published: (2025)

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)

A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub
by: Xie, Pengcheng, et al.
Published: (2023)

A Unified Analysis on the Subgradient Upper Bounds for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions
by: Zhu, Daoli, et al.
Published: (2023)

A Regression-Based Prediction-Correction Method for Stochastic Time-Varying Optimization Problems
by: Kamijima, Tomoya, et al.
Published: (2025)

Bregman Stochastic Proximal Point Algorithm with Variance Reduction
by: Traoré, Cheik, et al.
Published: (2025)

Consensus-Based Optimization Methods Converge Globally
by: Fornasier, Massimo, et al.
Published: (2021)

Constrained Consensus-Based Optimization and Numerical Heuristics for the Few Particle Regime
by: Beddrich, Jonas, et al.
Published: (2024)

Stochastic Algorithms for Large-Scale Composite Optimization: the Case of Single-Shot X-FEL Imaging
by: Luke, D. Russell, et al.
Published: (2024)

Macroscopic Traffic Flow Network Modeling For Wildfire Evacuation: A Game-Theoretic Junction Optimization Approach with Application to Lahaina Fire
by: Lu, Annie, et al.
Published: (2026)

Adaptive Inertial Method
by: Long, Han, et al.
Published: (2025)

A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
by: O'Neill, Michael J.
Published: (2024)

A Matrix Optimization Method for Blind Extraction of External Equitable Partitions from Low Pass Graph Signals
by: Teng, Wenshun, et al.
Published: (2025)

On the Finiteness Property of the Polynomial Complementarity Problem
by: Sharma, Sonali, et al.
Published: (2025)

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)

Bounding-Focused Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs
by: Turan, Evren M., et al.
Published: (2023)

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)

MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization
by: Li, Luxuan, et al.
Published: (2026)

A structured L-BFGS method and its application to inverse problems
by: Mannel, Florian, et al.
Published: (2023)