Yinyu Ye

Affiliations:
  • Stanford University, Institute for Computational and Mathematical Engineering, CA, USA (PhD 1988)
  • University of Iowa, Iowa City, IA, USA (former)


According to our database1, Yinyu Ye authored at least 249 papers between 1987 and 2024.

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Bibliography

2024
Efficient Reinforcement Learning With Impaired Observability: Learning to Act With Delayed and Missing State Observations.
IEEE Trans. Inf. Theory, October, 2024

A Riemannian Dimension-Reduced Second-Order Method with Application in Sensor Network Localization.
SIAM J. Sci. Comput., 2024

Technical Note - An Improved Analysis of LP-Based Control for Revenue Management.
Oper. Res., 2024

Online Linear Programming with Batching.
CoRR, 2024

Adam-mini: Use Fewer Learning Rates To Gain More.
CoRR, 2024

Diffusion Model for Data-Driven Black-Box Optimization.
CoRR, 2024

Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process.
CoRR, 2024

Decoupling Learning and Decision-Making: Breaking the O(√T) Barrier in Online Resource Allocation with First-Order Methods.
CoRR, 2024

A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decoupling Learning and Decision-Making: Breaking the O(T) Barrier in Online Resource Allocation with First-Order Methods.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sketched Newton Value Iteration for Large-Scale Markov Decision Processes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning to Pivot as a Smart Expert.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms.
Games Econ. Behav., September, 2023

Simple and fast algorithm for binary integer and online linear programming.
Math. Program., July, 2023

Scalable Approximate Optimal Diagonal Preconditioning.
CoRR, 2023

Data-driven aerodynamic shape design with distributionally robust optimization approaches.
CoRR, 2023

Minimizing Sensor Allocation Cost for Crowdsensing On-street Parking Availability.
CoRR, 2023

A Homogenization Approach for Gradient-Dominated Stochastic Optimization.
CoRR, 2023

Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching.
CoRR, 2023

A gradient descent akin method for constrained optimization: algorithms and applications.
CoRR, 2023

Stochastic Dimension-reduced Second-order Methods for Policy Optimization.
CoRR, 2023

Solving Linear Programs with Fast Online Learning Algorithms.
Proceedings of the International Conference on Machine Learning, 2023

2022
High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks.
Oper. Res., November, 2022

Distributed Stochastic Optimization with Large Delays.
Math. Oper. Res., 2022

Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds.
Oper. Res., 2022

Optimal Diagonal Preconditioning: Theory and Practice.
CoRR, 2022

Cardinal Optimizer (COPT) User Guide.
CoRR, 2022

DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses.
CoRR, 2022

HDSDP: Software for Semidefinite Programming.
CoRR, 2022

Online Learning in Fisher Markets with Unknown Agent Preferences.
CoRR, 2022

2021
An ADMM-based interior-point method for large-scale linear programming.
Optim. Methods Softw., 2021

Managing randomization in the multi-block alternating direction method of multipliers for quadratic optimization.
Math. Program. Comput., 2021

Worst-case complexity of cyclic coordinate descent: O(n<sup>2)</sup> gap with randomized version.
Math. Program., 2021

On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.
Math. Program., 2021

Correction to: Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs.
Math. Program., 2021

Fairer LP-based Online Allocation.
CoRR, 2021

An Adaptive State Aggregation Algorithm for Markov Decision Processes.
CoRR, 2021

Boosting Method in Approximately Solving Linear Programming with Fast Online Algorithm.
CoRR, 2021

The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Erratum/Correction to "On the complexity of an expanded Tarski's fixed point problem under the componentwise ordering" [Theor. Comput. Sci. 732 (2018) 26-45].
Theor. Comput. Sci., 2020

A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid.
IEEE Trans. Big Data, 2020

Towards solving 2-TBSG efficiently.
Optim. Methods Softw., 2020

Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs.
Math. Program., 2020

On the Efficiency of Random Permutation for ADMM and Coordinate Descent.
Math. Oper. Res., 2020

A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions.
CoRR, 2020

Markets for Efficient Public Good Allocation.
CoRR, 2020

Computations and Complexities of Tarski's Fixed Points and Supermodular Games.
CoRR, 2020

Sequential Batch Learning in Finite-Action Linear Contextual Bandits.
CoRR, 2020

Diagonal Preconditioning: Theory and Algorithms.
CoRR, 2020

Markets for Efficient Public Good Allocation with Social Distancing.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Adaptive Discrete Phase Retrieval.
Proceedings of the 3rd Symposium on Simplicity in Algorithms, 2020

Distributionally Robust Local Non-parametric Conditional Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming.
Math. Program., 2019

Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary.
Math. Program., 2019

Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights.
Math. Program., 2019

Approximation Hardness for A Class of Sparse Optimization Problems.
J. Mach. Learn. Res., 2019

On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems.
CoRR, 2019

Toward Solving 2-TBSG Efficiently.
CoRR, 2019

Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Assessing the System Value of Optimal Load Shifting.
IEEE Trans. Smart Grid, 2018

On the complexity of an expanded Tarski's fixed point problem under the componentwise ordering.
Theor. Comput. Sci., 2018

A computation study on an integrated alternating direction method of multipliers for large scale optimization.
Optim. Lett., 2018

A polynomial time log barrier method for problems with nonconvex constraints.
CoRR, 2018

Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Learning in Games with Lossy Feedback.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions.
Math. Program., 2017

Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Leontief Economy Equilibrium.
Encyclopedia of Algorithms, 2016

Hidden-City Ticketing: The Cause and Impact.
Transp. Sci., 2016

On a New SDP-SOCP Method for Acoustic Source Localization Problem.
ACM Trans. Sens. Networks, 2016

The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent.
Math. Program., 2016

Low-Rank Semidefinite Programming: Theory and Applications.
Found. Trends Optim., 2016

Worst-case Complexity of Cyclic Coordinate Descent: $O(n^2)$ Gap with Randomized Version.
CoRR, 2016

Likelihood robust optimization for data-driven problems.
Comput. Manag. Sci., 2016

2015
A homogeneous interior-point algorithm for nonsymmetric convex conic optimization.
Math. Program., 2015

Complexity analysis of interior point algorithms for non-Lipschitz and nonconvex minimization.
Math. Program., 2015

The Simplex Method is Strongly Polynomial for Deterministic Markov Decision Processes.
Math. Oper. Res., 2015

Strong NP-Hardness Result for Regularized $L_q$-Minimization Problems with Concave Penalty Functions.
CoRR, 2015

2014
Complexity of unconstrained $$L_2-L_p$$ minimization.
Math. Program., 2014

Close the Gaps: A Learning-While-Doing Algorithm for Single-Product Revenue Management Problems.
Oper. Res., 2014

The Value of Stochastic Modeling in Two-Stage Stochastic Programs with Cost Uncertainty.
Oper. Res., 2014

Analytical Results and Efficient Algorithm for Optimal Portfolio Deleveraging with Market Impact.
Oper. Res., 2014

A Dynamic Near-Optimal Algorithm for Online Linear Programming.
Oper. Res., 2014

Space tensor conic programming.
Comput. Optim. Appl., 2014

A Levenberg-Marquardt method with approximate projections.
Comput. Optim. Appl., 2014

2013
A Dynamic Algorithm for Facilitated Charging of Plug-In Electric Vehicles.
IEEE Trans. Smart Grid, 2013

Newsvendor optimization with limited distribution information.
Optim. Methods Softw., 2013

Warmstarting the homogeneous and self-dual interior point method for linear and conic quadratic problems.
Math. Program. Comput., 2013

On stress matrices of (d + 1)-lateration frameworks in general position.
Math. Program., 2013

Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012
A FPTAS for computing a symmetric Leontief competitive economy equilibrium.
Math. Program., 2012

The cubic spherical optimization problems.
Math. Comput., 2012

Price of Correlations in Stochastic Optimization.
Oper. Res., 2012

2011
Statistical ranking and combinatorial Hodge theory.
Math. Program., 2011

A note on the complexity of <i>L</i><sub><i>p</i></sub> minimization.
Math. Program., 2011

The Simplex and Policy-Iteration Methods Are Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate.
Math. Oper. Res., 2011

Geometric rounding: a dependent randomized rounding scheme.
J. Comb. Optim., 2011

A Unified Framework for Dynamic Prediction Market Design.
Oper. Res., 2011

Close the Gaps: A Learning-while-Doing Algorithm for a Class of Single-Product Revenue Management Problems
CoRR, 2011

An interior-point path-following algorithm for computing a Leontief economy equilibrium.
Comput. Optim. Appl., 2011

An Optimization Approach to Improving Collections of Shape Maps.
Comput. Graph. Forum, 2011

2010
Dynamic spectrum management with the competitive market model.
IEEE Trans. Signal Process., 2010

Finding equitable convex partitions of points in a polygon efficiently.
ACM Trans. Algorithms, 2010

Semidefinite Relaxation of Quadratic Optimization Problems.
IEEE Signal Process. Mag., 2010

Lower Bound Theory of Nonzero Entries in Solutions of ℓ<sub>2</sub>-ℓ<sub>p</sub> Minimization.
SIAM J. Sci. Comput., 2010

Universal Rigidity and Edge Sparsification for Sensor Network Localization.
SIAM J. Optim., 2010

Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems.
Oper. Res., 2010

On Sensor Network Localization Using SDP Relaxation
CoRR, 2010

The Complexity of Determining the Uniqueness of Tarski's Fixed Point under the Lexicographic Ordering.
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Correlation Robust Stochastic Optimization.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Universal Rigidity: Towards Accurate and Efficient Localization of Wireless Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Probabilistic analysis of SDR detectors for MIMO systems.
Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009
Solving Large Scale and Sparse Semidefinite Programs.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Quadratic Programming over an Ellipsoid.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Potential Reduction Methods for Linear Programming.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Graph Realization via Semidefinite Programming.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Semidefinite Programming and the Sensor Network Localization Problem, SNLP.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Biquadratic Optimization Over Unit Spheres and Semidefinite Programming Relaxations.
SIAM J. Optim., 2009

An edge-reduction algorithm for the vertex cover problem.
Oper. Res. Lett., 2009

Stochastic Combinatorial Optimization with Controllable Risk Aversion Level.
Math. Oper. Res., 2009

Budget Allocation in a Competitive Communication Spectrum Economy.
EURASIP J. Adv. Signal Process., 2009

Fast and Near-Optimal Matrix Completion via Randomized Basis Pursuit
CoRR, 2009

Distributionally Robust Stochastic Programming with Binary Random Variables
CoRR, 2009

A unified framework for dynamic pari-mutuel information market design.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

2008
Leontief Economy Equilibrium.
Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Algorithm 875: DSDP5 - software for semidefinite programming.
ACM Trans. Math. Softw., 2008

The complexity of equilibria: Hardness results for economies via a correspondence with games.
Theor. Comput. Sci., 2008

A Distributed SDP Approach for Large-Scale Noisy Anchor-Free Graph Realization with Applications to Molecular Conformation.
SIAM J. Sci. Comput., 2008

Further Relaxations of the Semidefinite Programming Approach to Sensor Network Localization.
SIAM J. Optim., 2008

A path to the Arrow-Debreu competitive market equilibrium.
Math. Program., 2008

A Unified Theorem on SDP Rank Reduction.
Math. Oper. Res., 2008

Learning to rank with combinatorial Hodge theory
CoRR, 2008

Stochastic Combinatorial Optimization under Probabilistic Constraints
CoRR, 2008

Preface.
Algorithmica, 2008

Computational Economy Equilibrium and Application.
Proceedings of the Internet and Network Economics, 4th International Workshop, 2008

Parimutuel Betting on Permutations.
Proceedings of the Internet and Network Economics, 4th International Workshop, 2008

2007
Greedy Algorithms for Metric Facility Location Problems.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

On Analyzing Semidefinite Programming Relaxations of Complex Quadratic Optimization Problems.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

Exchange market equilibria with Leontief's utility: Freedom of pricing leads to rationality.
Theor. Comput. Sci., 2007

Approximating the Radii of Point Sets.
SIAM J. Comput., 2007

On approximating complex quadratic optimization problems via semidefinite programming relaxations.
Math. Program., 2007

Theory of semidefinite programming for Sensor Network Localization.
Math. Program., 2007

A polynomial time $\frac 3 2$ -approximation algorithm for the vertex cover problem on a class of graphs
CoRR, 2007

Pari-Mutuel Markets: Mechanisms and Performance.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

A Note on Equilibrium Pricing as Convex Optimization.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

2006
Semidefinite programming based algorithms for sensor network localization.
ACM Trans. Sens. Networks, 2006

Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements.
IEEE Trans Autom. Sci. Eng., 2006

SpaseLoc: An Adaptive Subproblem Algorithm for Scalable Wireless Sensor Network Localization.
SIAM J. Optim., 2006

Approximation Algorithms for Metric Facility Location Problems.
SIAM J. Comput., 2006

Lot-sizing scheduling with batch setup times.
J. Sched., 2006

Improved complexity results on solving real-number linear feasibility problems.
Math. Program., 2006

A semidefinite programming approach to tensegrity theory and realizability of graphs.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

2005
A Multiexchange Local Search Algorithm for the Capacitated Facility Location Problem.
Math. Oper. Res., 2005

A New Complexity Result on Solving the Markov Decision Problem.
Math. Oper. Res., 2005

On solving univariate sparse polynomials in logarithmic time.
J. Complex., 2005

Leontief Economies Encode Nonzero Sum Two-Player Games
Electron. Colloquium Comput. Complex., 2005

On Solving Coverage Problems in a Wireless Sensor Network Using Voronoi Diagrams.
Proceedings of the Internet and Network Economics, First International Workshop, 2005

Market equilibria for homothetic, quasi-concave utilities and economies of scale in production.
Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Computing the Arrow-Debreu Competitive Market Equilibrium and Its Extensions.
Proceedings of the Algorithmic Applications in Management, First International Conference, 2005

2004
Improved Combinatorial Approximation Algorithms for the <i>k</i>-Level Facility Location Problem.
SIAM J. Discret. Math., 2004

Improved approximations for max set splitting and max NAE SAT.
Discret. Appl. Math., 2004

Semidefinite programming for ad hoc wireless sensor network localization.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

A Multi-exchange Local Search Algorithm for the Capacitated Facility Location Problem: (Extended Abstract).
Proceedings of the Integer Programming and Combinatorial Optimization, 2004

An approximation algorithm for scheduling aircraft with holding time.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
New Results on Quadratic Minimization.
SIAM J. Optim., 2003

Approximating the 2-catalog segmentation problem using semidefinite programming relaxations.
Optim. Methods Softw., 2003

Approximation of Dense-<i>n</i>/2-Subgraph and the Complement of Min-Bisection.
J. Glob. Optim., 2003

An approximation algorithm for scheduling two parallel machines with capacity constraints.
Discret. Appl. Math., 2003

Improved Combinatorial Approximation Algorithms for the k-Level Facility Location Problem.
Proceedings of the Automata, Languages and Programming, 30th International Colloquium, 2003

MILP formulation and polynomial time algorithm for an aircraft scheduling problem.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Optimization with few violated constraints for linear bounded error parameter estimation.
IEEE Trans. Autom. Control., 2002

A note on the maximization version of the multi-level facility location problem.
Oper. Res. Lett., 2002

On some interior-point algorithms for nonconvex quadratic optimization.
Math. Program., 2002

An improved rounding method and semidefinite programming relaxation for graph partition.
Math. Program., 2002

On approximation of max-vertex-cover.
Eur. J. Oper. Res., 2002

Improved Approximation Algorithms for Metric Facility Location Problems.
Proceedings of the Approximation Algorithms for Combinatorial Optimization, 2002

2001
Blind channel equalization and ϵ-approximation algorithms.
IEEE Trans. Signal Process., 2001

A .699-approximation algorithm for Max-Bisection.
Math. Program., 2001

Characterizations, bounds, and probabilistic analysis of two complexity measures for linear programming problems.
Math. Program., 2001

2000
Convergence results of the analytic center estimator.
IEEE Trans. Autom. Control., 2000

An Efficient Algorithm for Minimizing a Sum of p-Norms.
SIAM J. Optim., 2000

On Smoothing Methods for the P[sub 0] Matrix Linear Complementarity Problem.
SIAM J. Optim., 2000

Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization.
SIAM J. Optim., 2000

1999
Bounded error parameter estimation: a sequential analytic center approach.
IEEE Trans. Autom. Control., 1999

Constrained logarithmic least squares in parameter estimation.
IEEE Trans. Autom. Control., 1999

Approximating quadratic programming with bound and quadratic constraints.
Math. Program., 1999

Infeasible-start primal-dual methods and infeasibility detectors for nonlinear programming problems.
Math. Program., 1999

On a homogeneous algorithm for the monotone complementarity problem.
Math. Program., 1999

Probabilistic Analysis of an Infeasible-Interior-Point Algorithm for Linear Programming.
Math. Oper. Res., 1999

Approximating Global Quadratic Optimization with Convex Quadratic Constraints.
J. Glob. Optim., 1999

On quadratic convergence of the O(√nK)-iteration homogeneous and self‐duallinear programming algorithm.
Ann. Oper. Res., 1999

1998
On the complexity of approximating a KKT point of quadratic programming.
Math. Program., 1998

Approximate Farkas lemmas and stopping rules for iterative infeasible-point algorithms for linear programming.
Math. Program., 1998

Approximation Algorithms for Quadratic Programming.
J. Comb. Optim., 1998

A Computational Study of the Homogeneous Algorithm for Large-scale Convex Optimization.
Comput. Optim. Appl., 1998

Analytic center approach to parameter estimation: convergence analysis.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Interior point algorithms - theory and analysis.
Wiley-Interscience series in discrete mathematics and optimization, Wiley, ISBN: 978-0-471-17420-2, 1998

1997
An Efficient Algorithm for Minimizing a Sum of Euclidean Norms with Applications.
SIAM J. Optim., 1997

Complexity analysis of the analytic center cutting plane method that uses multiple cuts.
Math. Program., 1997

1996
An Asymptotical O(√(n) L)-Iteration Path-Following Linear Programming Algorithm That Uses Wide Neighborhoods.
SIAM J. Optim., 1996

Complexity Analysis of an Interior Cutting Plane Method for Convex Feasibility Problems.
SIAM J. Optim., 1996

On homogeneous and self-dual algorithms for LCP.
Math. Program., 1996

A primal-dual interior point method whose running time depends only on the constraint matrix.
Math. Program., 1996

An infeasible interior-point algorithm for solving primal and dual geometric programs.
Math. Program., 1996

Improved complexity using higher-order correctors for primal-dual Dikin affine scaling.
Math. Program., 1996

How Partial Knowledge Helps to Solve Linear Programs.
J. Complex., 1996

A simplified homogeneous and self-dual linear programming algorithm and its implementation.
Ann. Oper. Res., 1996

Identifying an optimal basis in linear programming.
Ann. Oper. Res., 1996

A lower bound on the number of iterations of long-step primal-dual linear programming algorithms.
Ann. Oper. Res., 1996

1995
A generalized homogeneous and self-dual algorithm for linear programming.
Oper. Res. Lett., 1995

Condition numbers for polyhedra with real number data.
Oper. Res. Lett., 1995

On the convergence of the iteration sequence in primal-dual interior-point methods.
Math. Program., 1995

On the Von Neumann Economic Growth Problem.
Math. Oper. Res., 1995

A Surface of Analytic Centers and Primal-Dual Infeasible-Interior-Point Algorithms for Linear Programming.
Math. Oper. Res., 1995

Specially Structured Uncapacitated Facility Location Problems.
Oper. Res., 1995

1994
Interior-Point Polynomial Algorithms in Convex Programming (Y. Nesterov and A. Nemirovskii).
SIAM Rev., 1994

A Complexity Analysis for Interior-Point Algorithms Based on Karmarkar's Potential Function.
SIAM J. Optim., 1994

An O(√nL)-Iteration Homogeneous and Self-Dual Linear Programming Algorithm.
Math. Oper. Res., 1994

Toward Probabilistic Analysis of Interior-Point Algorithms for Linear Programming.
Math. Oper. Res., 1994

Combining Binary Search and Newton's Method to Compute Real Roots for a Class of Real Functions.
J. Complex., 1994

An accelerated interior point method whose running time depends only on A (extended abstract).
Proceedings of the Twenty-Sixth Annual ACM Symposium on Theory of Computing, 1994

1993
Solution of $P_0 $-Matrix Linear Complementarity Problems Using a potential Reduction Algorithm.
SIAM J. Matrix Anal. Appl., October, 1993

A Quadratically Convergent Polynomial Algorithm for Solving Entropy Optimization Problems.
SIAM J. Optim., 1993

Near boundary behavior of primal-dual potential reduction algorithms for linear programming.
Math. Program., 1993

A quadratically convergent O(qudra root(n)*L)-iteration algorithm for linear programming.
Math. Program., 1993

On quadratic and O(qudar root(n) * L) convergence of a predictor-corrector algorithm for LCP.
Math. Program., 1993

Finding an interior point in the optimal face of linear programs.
Math. Program., 1993

Convergence behavior of interior-point algorithms.
Math. Program., 1993

A Fully Polynomial-Time Approximation Algorithm for Computing a Stationary Point of the General Linear Complementarity Problem.
Math. Oper. Res., 1993

On Adaptive-Step Primal-Dual Interior-Point Algorithms for Linear Programming.
Math. Oper. Res., 1993

1992
A Potential Reduction Algorithm Allowing Column Generation.
SIAM J. Optim., 1992

On the finite convergence of interior-point algorithms for linear programming.
Math. Program., 1992

On affine scaling algorithms for nonconvex quadratic programming.
Math. Program., 1992

An interior point potential reduction algorithm for the linear complementarity problem.
Math. Program., 1992

1991
Convergence behavior of Karmarkar's projective algorithm for solving a simple linear program.
Oper. Res. Lett., 1991

Comparative analysis of affine scaling algorithms based on simplifying assumptions.
Math. Program., 1991

An O(n<sup>3</sup>L) potential reduction algorithm for linear programming.
Math. Program., 1991

1990
A Class of Projective Transformations for Linear Programming.
SIAM J. Comput., 1990

Containing and Shrinking Ellipsoids in the Path-Following Algorithm.
Math. Program., 1990

A "Build-Down" Scheme for Linear Programming.
Math. Program., 1990

Recovering Optimal Basic Variables in Karmarkar's Polynomial Algorithm for Linear Programming.
Math. Oper. Res., 1990

A Centered Projective Algorithm for Linear Programming.
Math. Oper. Res., 1990

1989
An extension of Karmarkar's projective algorithm for convex quadratic programming.
Math. Program., 1989

1987
Recovering optimal dual solutions in Karmarkar's polynomial algorithm for linear programming.
Math. Program., 1987


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