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Every paper Pith has read. Search by title, abstract, or pith.
2292 papers in math.OC · page 18
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Small delays permit consensus and flocking in multi-agent systems
Consensus and flocking with transmission and reaction delays
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Arc-based and path-based solvers compared for satellite servicing routes
Formulation and Analysis for Integrated Spacecraft Routing and Trajectory Design Problem
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Low-rank factorization recovers ecological networks from imperfect counts
Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
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Target correction unifies mirror descent for monotone inequalities
Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities
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Trajectory method yields converging lower bounds for N-body control
Tropical low-rank approximation and application to optimal control of N-body systems
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DMD recovers unknown parameters from nonlinear system data
A Dynamic Mode Decomposition Approach to Parameter Identification
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New solver speeds MPCC problems by up to 10x
CCOpt: an Open-Source Solver for Large-Scale Mathematical Programs with Complementarity Constraints
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Explicit solution derived for minimax dual control Bellman inequality
Minimax optimal dual control -- The single input case
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Affine estimators minimizing worst-case CVaR of squared error over a Wasserstein ball are…
Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
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Duality characterizes subdifferential of adversarial total variation
Duality for the Adversarial Total Variation
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Adaptive discretization reaches ε-optimal designs with smaller subproblems
An adaptive discretization algorithm for locally optimal experimental design with constraints
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Learned operator replaces repeated Riccati solves in time-varying LQR
Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks
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NLP model generates feasible TRACON arrivals via path stretching
Geometric Trajectory Optimization for TRACON Arrivals: An NLP Approach with ATC Vectoring Maneuver Modeling
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Quadratic regularization in data-driven LQR mapped to system costs
On the Effect of Quadratic Regularization in Direct Data-Driven LQR
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Real-time MPC approximates hybrid feedback by solving QP with complementarity constraints
Real-Time Algorithms for Model Predictive Control of Hybrid Dynamical Systems
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μ below 1 guarantees convergence in stochastic reconfiguration
Momentum Stability and Adaptive Control in Stochastic Reconfiguration
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Smoothing algorithm delivers first complexity bound for non-Lipschitz manifold opt
An Adaptive Smoothing Algorithm for Non-Lipschitz Optimization on Manifolds with Complexity Guarantees
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Three-average averaging accelerates optimality certificates
Accuracy Certificates for Convex Optimization at Accelerated Rates via Primal-Dual Averaging
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SQPCC locally converges to S-stationary points of MPCCs
Local Convergence Results for Sequential Quadratic Programming with Complementarity Constraints
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Magnitude of dominated sets is strictly Pareto compliant
The Magnitude of Dominated Sets: A Pareto Compliant Indicator Grounded in Metric Geometry
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Exact algorithm plans transit lines while dropping unattractive routes
An Exact Algorithm for Public Transport Line Planning Considering Passenger and Operational Costs and Lost Demand
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Reentrant flow shops reduce exactly to parallel machines with arrivals
Flow Shop Scheduling with Stochastic Reentry
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Conditions ensure absolute continuity for graph Wasserstein barycenters
Wasserstein barycenters on metric graphs
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Guidance laws maximize kill probability rather than minimizing miss distance
Kill-Probability-Maximization Guidance: Breaking from the Miss-Distance-Minimization Paradigm
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Trajectory optimization cuts TMA arrival delays and fuel use
Trajectory-Based Optimization for Air Traffic Control in the Terminal Maneuvering Area
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Semi-DCNLP matches shooting method in spacecraft pursuit-evasion
A Numerical Analysis for Pursuit-Evasion Games under the Stackelberg Eqilibrium
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Wasserstein shadow projection is bi-Hölder continuous
Quantitative Stability of the Shadow for Wasserstein Projections and Sample Complexity
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Online control algorithm reaches square-root regret vs affine benchmarks
Steady-state Based Approach to Online Non-stochastic Control
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SDP hyperplane sampling hits 0.878 ratio for max-cut and fractional covers
Maximum Cuts and Fractional Cut Covers: A Computational Study of a Randomized Semidefinite Programming Approach
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Optimization follows natural laws from control transversality
On The Mathematics of the Natural Physics of Optimization
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Potential MFGs converge to stationary equilibria without monotonicity
Convergence of Potential Mean-Field Games via Lyapunov Methods
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Algebraic criteria decentralize stability in inverter OPF
Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
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Quantile Kelly bets for finite horizons reduce to shadow one-period problems
Exact Finite-Horizon Quantile Kelly for Repeated Multi-Outcome Events
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Two lifted SOS hierarchies certify bounds on 1000-variable polynomial problems
Composition and tensor train structure in polynomial optimization
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BDC class yields polynomial decompositions where DC needs exponential size
The Multi-Block DC Function Class: Theory, Algorithms, and Applications
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On-trip matching boosts shared-ride profits and cuts prices
On-Trip Matching and Pricing for Shared Rides
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Value iteration locks in optimal policies before reaching Q*
Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
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Crouzeix-Raviart elements deliver optimal control error bounds
Crouzeix-Raviart Finite Element Approximation of Dirichlet Boundary Control Problems with Piecewise Constant Controls
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Generalized relaxed projection algorithm converges for convex intersections
Generalized Composed Alternating Relaxed Projection Algorithm for Two-Set Feasibility Problem
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Hybrid method yields tightening lower bounds on stochastic satisfaction
Solving Stochastic Constraints by Oracle-based Gradient Descent and Interval Arithmetic
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Recurrence in Hamiltonians decouples reachability data from state dimension
Symplectic Inductive Bias for Data-Driven Target Reachability in Hamiltonian Systems
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Abstractions align AI intent with safe spacecraft trajectories
Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
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WRSMs gain optimal current references via rotor-current degree of freedom
On the Unification of Optimal Current Reference Theory for Wound Rotor Synchronous Machines
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Negative momentum converges convex-concave min-max problems
Negative Momentum for Convex-Concave Optimization
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Bucket brigade fixed point is always unique
Bucket Brigades: Uniqueness of the Fixed Point and Three-Worker Asymptotics
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Planar branched transport always admits an anisotropic minimizer
A model of anisotropic branched optimal transport
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Linear map condenses MPC preview into single setpoint
Reference Condensation for Model Predictive Control with Preview
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Linear Boţ-Nguyen acceleration equals weighted ergodic iteration
Bo\c{t}-Nguyen Acceleration, Weighted Mean Ergodic Iteration, and the Beta-Binomial Distribution
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Local geometry governs linear convergence rates
Trajectory-Restricted Optimization Conditions and Geometry-Aware Linear Convergence
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Subgradient descent gains explicit rates on semialgebraic functions
On convergence rates of subgradient descent on semialgebraic functions