Mathematical Programming

Mathematical Programming

数学规划

  • 2区 中科院分区
  • Q1 JCR分区

高引用文章

文章名称 引用次数
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations 71
Data-driven robust optimization 41
Fast convergence of inertial dynamics and algorithms with asymptotic vanishing viscosity 32
DC programming and DCA: thirty years of developments 29
Linear convergence of first order methods for non-strongly convex optimization 22
Stochastic dual dynamic integer programming 18
An optimal randomized incremental gradient method 18
Robust sample average approximation 15
Accelerating the DC algorithm for smooth functions 12
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval 11
Distributed nonconvex constrained optimization over time-varying digraphs 11
Relative-error approximate versions of Douglas-Rachford splitting and special cases of the ADMM 11
Solving monotone stochastic variational inequalities and complementarity problems by progressive hedging 11
Set regularities and feasibility problems 11
Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions 10
Discrete approximation of two-stage stochastic and distributionally robust linear complementarity problems 10
Tensor eigenvalue complementarity problems 10
Convergence of inertial dynamics and proximal algorithms governed by maximally monotone operators 9
Submodular functions: from discrete to continuous domains 8
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models 8
DC formulations and algorithms for sparse optimization problems 8
Learning in games with continuous action sets and unknown payoff functions 8
A simplified view of first order methods for optimization 8
Subdifferential characterization of probability functions under Gaussian distribution 7
Critical multipliers in variational systems via second-order generalized differentiation 7
Polyhedral approximation in mixed-integer convex optimization 7
Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods 6
Stochastic optimization using a trust-region method and random models 6
SOCP reformulation for the generalized trust region subproblem via a canonical form of two symmetric matrices 6
Data-driven inverse optimization with imperfect information 6
Partial facial reduction: simplified, equivalent SDPs via approximations of the PSD cone 6
A general double-proximal gradient algorithm for d.c. programming 6
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights 6
Ambiguous risk constraints with moment and unimodality information 6
Monotone operator theory in convex optimization 6
Least cost influence propagation in (social) networks 6
Sub-sampled Newton methods 6
On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming 5
First-order methods almost always avoid strict saddle points 5
Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization 5
A global MINLP approach to symbolic regression 5
Strong formulations for quadratic optimization with M-matrices and indicator variables 5
Optimal estimation of sensor biases for asynchronous multi-sensor data fusion 5
Approximations and solution estimates in optimization 5
Distributionally robust shortfall risk optimization model and its approximation 5
Binary decision rules for multistage adaptive mixed-integer optimization 5
Near-optimal stochastic approximation for online principal component estimation 5
Wait-and-judge scenario optimization 5
A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications 5
Maximizing monotone submodular functions over the integer lattice 5