All Stories

  1. Strong duality of a conic optimization problem with a single hyperplane and two cone constraints
  2. Doubly nonnegative relaxations for quadratic and polynomial optimization problems with binary and box constraints
  3. A Newton-bracketing method for a simple conic optimization problem
  4. Doubly nonnegative relaxations are equivalent to completely positive reformulations of quadratic optimization problems with block-clique graph structures
  5. A Geometrical Analysis on Convex Conic Reformulations of Quadratic and Polynomial Optimization Problems
  6. Algorithm 996
  7. A robust Lagrangian-DNN method for a class of quadratic optimization problems
  8. Extension of Completely Positive Cone Relaxation to Moment Cone Relaxation for Polynomial Optimization
  9. A Lagrangian–DNN relaxation: a fast method for computing tight lower bounds for a class of quadratic optimization problems
  10. Faster, but weaker, relaxations for quadratically constrained quadratic programs
  11. A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming
  12. Exploiting Sparsity in SDP Relaxation of Polynomial Optimization Problems
  13. Semidefinite programming relaxations for sensor network localization
  14. Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion
  15. A numerical algorithm for block-diagonal decomposition of matrix $${*}$$ -algebras with application to semidefinite programming
  16. SDP RELAXATIONS FOR QUADRATIC OPTIMIZATION PROBLEMS DERIVED FROM POLYNOMIAL OPTIMIZATION PROBLEMS
  17. Solving polynomial least squares problems via semidefinite programming relaxations
  18. Exploiting Sparsity in SDP Relaxation for Sensor Network Localization
  19. Algorithm 883
  20. Recognizing underlying sparsity in optimization
  21. EQUALITY BASED CONTRACTION OF SEMIDEFINITE PROGRAMMING RELAXATIONS IN POLYNOMIAL OPTIMIZATION
  22. SPARSE SECOND ORDER CONE PROGRAMMING FORMULATIONS FOR CONVEX OPTIMIZATION PROBLEMS
  23. Correlative Sparsity in Primal-Dual Interior-Point Methods for LP, SDP, and SOCP
  24. A note on sparse SOS and SDP relaxations for polynomial optimization problems over symmetric cones
  25. Dynamic Enumeration of All Mixed Cells
  26. An Extension of Sums of Squares Relaxations to Polynomial Optimization Problems Over Symmetric Cones
  27. Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity
  28. Generalized Lagrangian Duals and Sums of Squares Relaxations of Sparse Polynomial Optimization Problems
  29. Sparsity in sums of squares of polynomials
  30. PHoM ? a Polyhedral Homotopy Continuation Method for Polynomial Systems
  31. SOLVING LARGE SCALE OPTIMIZATION PROBLEMS VIA GRID AND CLUSTER COMPUTING(<Special Issue>Network Design, Control and Optimization)
  32. Second Order Cone Programming Relaxation of a Positive Semidefinite Constraint
  33. Implementation and evaluation of SDPA 6.0 (SemiDefinite Programming Algorithm 6.0)
  34. Implementation and evaluation of SDPA 6.0 (Semidefinite Programming Algorithm 6.0)
  35. The Lagrangian Picture, Part II : Models and Applications of the Lagrangian Approach to Solute Transport
  36. The Lagrangian Picture, Part I : Fundamentals of the Lagrangian Approach to Solute Transport
  37. Computing all nonsingular solutions of cyclic-n polynomial using polyhedral homotopy continuation methods
  38. Exploiting sparsity in semidefinite programming via matrix completion II: implementation and numerical results
  39. A GENERAL FRAMEWORK FOR CONVEX RELAXATION OF POLYNOMIAL OPTIMIZATION PROBLEMS OVER CONES
  40. CMPSM: A CONTINUATION METHOD FOR POLYNOMIAL SYSTEMS (MATLAB VERSION)
  41. PARALLEL IMPLEMENTATION OF POLYHEDRAL CONTINUATION METHODS FOR SYSTEMS OF POLYNOMIAL EQUATIONS
  42. Lagrangian Dual Interior-Point Methods for Semidefinite Programs
  43. ENUMERATION OF ALL SOLUTIONS OF A COMBINATORIAL LINEAR INEQUALITY SYSTEM ARISING FROM THE POLYHEDRAL HOMOTOPY CONTINUATION METHOD
  44. Complexity Analysis of Successive Convex Relaxation Methods for Nonconvex Sets
  45. Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework
  46. Successive Convex Relaxation Approach to Bilevel Quadratic Optimization Problems
  47. Numerical Evaluation of SDPA (Semidefinite Programming Algorithm)
  48. Towards Implementations of Successive Convex Relaxation Methods for Nonconvex Quadratic Optimization Problems
  49. Search directions in the SDP and the monotone SDLCP: generalization and inexact computation
  50. A note on the Nesterov-Todd and the Kojima-Shindoh-hara search directions in semidefinite programming
  51. A Predictor-Corrector Interior-Point Algorithm for the Semidefinite Linear Complementarity Problem Using the Alizadeh--Haeberly--Overton Search Direction
  52. Existence and Uniqueness of Search Directions in Interior-Point Algorithms for the SDP and the Monotone SDLCP
  53. Local convergence of predictor—corrector infeasible-interior-point algorithms for SDPs and SDLCPs
  54. A conjugate direction method for approximating the analytic center of a polytope
  55. Centers of Monotone Generalized Complementarity Problems
  56. Exploiting sparsity in primal-dual interior-point methods for semidefinite programming
  57. Infeasible-Interior-Point Primal-Dual Potential-Reduction Algorithms for Linear Programming
  58. Global convergence in infeasible-interior-point algorithms
  59. A General Framework of Continuation Methods for Complementarity Problems
  60. A primal—dual infeasible-interior-point algorithm for linear programming
  61. Large-Step Interior Point Algorithms for Linear Complementarity Problems
  62. A little theorem of the bigℳ in interior point algorithms
  63. Theoretical convergence of large-step primal—dual interior point algorithms for linear programming
  64. An interior point potential reduction algorithm for the linear complementarity problem
  65. Homotopy Continuation Methods for Nonlinear Complementarity Problems
  66. A unified approach to interior point algorithms for linear complementarity problems: A summary
  67. The relation between the path of centers and Smale's regularization of the linear programming problem
  68. An $$O(\sqrt n L)$$ iteration potential reduction algorithm for linear complementarity problems
  69. A Unified Approach to Interior Point Algorithms for Linear Complementarity Problems
  70. Limiting Behavior of Trajectories Generated by a Continuation Method for Monotone Complementarity Problems
  71. Ellipsoids that contain all the solutions of a positive semi-definite linear complementarity problem
  72. A polynomial-time algorithm for a class of linear complementarity problems
  73. A Primal-Dual Interior Point Algorithm for Linear Programming
  74. A new continuation method for complementarity problems with uniformP-functions
  75. Determining basic variables of optimal solutions in Karmarkar's new LP algorithm
  76. EXTENSION OF NEWTON AND QUASI-NEWTON METHODS TO SYSTEMS OF PC^1 EQUATIONS
  77. Strongly Stable Equilibrium Points of N-Person Noncooperative Games
  78. A unified approach to the implementation of several restart fixed point algorithms and a new variable dimension algorithm
  79. Continuous deformation of nonlinear programs
  80. Computation of all solutions to a system of polynomial equations
  81. Strongly Stable Stationary Solutions in Nonlinear Programs
  82. A PL homotopy for finding all the roots of a polynomial
  83. A modification of todd's triangulationJ 3
  84. On the homotopic approach to systems of equations with separable mappings
  85. On the existence and uniqueness of solutions in nonlinear complementarity theory