:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jaiswal, Shiv Krishna, Gurumoorthy, Karthik S., Agarwal, Etika, Manchenahally, Shantala
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2310.04305
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

JD.com Improves Fulfillment Efficiency with Data-driven Integrated Assortment Planning and Inventory Allocation
by: Shen, Zuo-Jun Max, et al.
Published: (2025)

Dynamic Factor Models with Forward-Looking Views
by: Abdelhakmi, Anas, et al.
Published: (2025)

Flow Matching for Measure Transport and Feedback Stabilization of Control-Affine Systems
by: Elamvazhuthi, Karthik
Published: (2025)

Benamou-Brenier Formulation of Optimal Transport for Nonlinear Control Systems on Rd
by: Elamvazhuthi, Karthik
Published: (2024)

An Inventory System with Two Supply Modes and Lévy Demand
by: Pérez, José Luis, et al.
Published: (2025)

Existence Conditions for Functional ODE Observer Design of Descriptor Systems Revisited
by: Jaiswal, Juhi, et al.
Published: (2023)

A Linear Test for Global Nonlinear Controllability
by: Elamvazhuthi, Karthik
Published: (2024)

Convergence and Inference of Stream SGD, with Applications to Queueing Systems and Inventory Control
by: Li, Xiang, et al.
Published: (2023)

Social Optima of Linear Forward-Backward Stochastic System
by: Wang, Guangchen, et al.
Published: (2024)

A Production Routing Problem with Mobile Inventories
by: Lefgoum, Raian, et al.
Published: (2025)

Two-Product Make-to-Stock System: Strategic Joining and Optimal Inventory Levels
by: Kanavetas, Odysseas, et al.
Published: (2026)

Partial Backorder Inventory System: Asymptotic Optimality and Demand Learning
by: Lim, Andrew E. B., et al.
Published: (2024)

Forward Invariance in Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)

Online Policy Selection for Inventory Problems
by: Hihat, Massil, et al.
Published: (2024)

A System-Dynamic Based Simulation and Bayesian Optimization for Inventory Management
by: Maitra, Sarit
Published: (2024)

The Distributionally Robust Cyclic Inventory Routing Problem
by: Jia, Menglei, et al.
Published: (2026)

Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
by: Shah, Vade, et al.
Published: (2025)

Forward Reachability for Discrete-Time Nonlinear Stochastic Systems via Mixed-Monotonicity and Stochastic Order
by: Sivaramakrishnan, Vignesh, et al.
Published: (2024)

A Budget-Adaptive Allocation Rule for Optimal Computing Budget Allocation
by: Cao, Zirui, et al.
Published: (2023)

Inventory Management Under Stochastic Demand: A Simulation-Optimization Approach
by: Maitra, Sarit
Published: (2024)

Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing
by: Greif, Toni, et al.
Published: (2024)

Green Inventory Management: Leveraging Multiobjective Reverse Logistics
by: Rizvi, M. M., et al.
Published: (2025)

Distributed partial state estimation for linear state-space systems
by: Jaiswal, Juhi, et al.
Published: (2026)

Density Stabilization Strategies for Nonholonomic Agents on Compact Manifolds
by: Elamvazhuthi, Karthik, et al.
Published: (2023)

Uniform Sampling from the Reachable Set Using Optimal Transport
by: Elamvazhuthi, Karthik, et al.
Published: (2025)

The Price of Simplicity: Analyzing Decoupled Policies for Multi-Location Inventory Control
by: John, Yohan, et al.
Published: (2025)

Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
by: Böttcher, Lucas, et al.
Published: (2022)

A Global Stochastic Maximum Principle for Mean-Field Forward-Backward Stochastic Control Systems with Quadratic Generators
by: Buckdahn, Rainer, et al.
Published: (2024)

Denoising Diffusion-Based Control of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2024)

Quantitative Flow Approximation Properties of Narrow Neural ODEs
by: Elamvazhuthi, Karthik
Published: (2025)

Learning Large Neighborhood Search for Maritime Inventory Routing Optimization
by: Chen, Rui, et al.
Published: (2025)

Scenario Predict-then-Optimize for Data-Driven Online Inventory Routing
by: Jia, Menglei, et al.
Published: (2024)

Nagumo-Type Characterization of Forward Invariance for Constrained Systems
by: Reynaud, Olayo, et al.
Published: (2025)

Stochastic Reachability of Uncontrolled Systems via Probability Measures: Approximation via Deep Neural Networks
by: Sivaramakrishnan, Karthik, et al.
Published: (2023)

Fast-Forwarding Stalling in Dykstra's Algorithm
by: Vestini, Claudio, et al.
Published: (2025)

A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy
by: Lyu, Jiameng, et al.
Published: (2024)

A Novel Mixed-Integer Linear Programming Formulation for Continuous-Time Inventory Routing
by: Wang, Akang, et al.
Published: (2023)

Stochastic Cyclic Inventory Routing with Supply Uncertainty: A Case in Green-Hydrogen Logistics
by: Hasturk, Umur, et al.
Published: (2022)

Extracting Koopman Operators for Prediction and Control of Non-linear Dynamics Using Two-stage Learning and Oblique Projections
by: Uchida, Daisuke, et al.
Published: (2023)

Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2025)