3 edition of **accelerated interior point method whose running time depends only on A** found in the catalog.

accelerated interior point method whose running time depends only on A

Stephen A. Vavasis

- 172 Want to read
- 6 Currently reading

Published
**1993**
by Cornell Theory Center, Cornell University in Ithaca, N.Y
.

Written in English

**Edition Notes**

Statement | Stephen A. Vavasis, Yinyu Ye. |

Series | Technical report / Cornell Theory Center -- CTC93TR155., Technical report (Cornell Theory Center) -- 155. |

Contributions | Ye, Yinyu., Cornell Theory Center. |

The Physical Object | |
---|---|

Pagination | 68 p. : |

Number of Pages | 68 |

ID Numbers | |

Open Library | OL19646589M |

OCLC/WorldCa | 33926375 |

A train moving at a velocity of 15 m/s is accelerated to 24 m/s over a 12 second period m/s^2 While driving, a person wants to avoid in a deer in the road so they go from a . dual interior point method whose running time depends only on the constraint matrix, Mathematical Programming 74 , [22] S. Wright, Primal-Dual Interior Point Algorithms, SIAM Publications, Philadel-phia, forthcoming. [23] X. Xu, P.-F. Hung, and Y. Ye, A simplified homogeneous and self-dual linear programming algorithm and its.

B–74 Optimization Methods — § ATπ∗ = c if and only if σ∗ = 0, so the complementary slackness conditions become x∗ j = 0 or σ j = 0 (or both). But saying that x j = 0 or σ j = 0 is equivalent to saying that x∗ j σ j = 0. Thus we have the following equivalent statement of the complementary slackness conditions: x∗ and π∗ are optimal provided that they satisfy. This paper studies the boundary behavior of some interior point algorithms for linear programming. The algorithms considered are Karmarkar's projective rescaling algorithm, the linear rescaling algorithm which was proposed as a variation on Karmarkar's algorithm, and the logarithmic barrier technique.

Yet another issue in rst-order methods is the tuning of step size, whose optimal choice depends on the strong convexity parameter and/or smoothness of the underlying problem. For example, consider the problem of optimizing a function of the form x7!g(Ax), where A2Rn d is a \data matrix", and g: Rn!R is a twice-di erentiable function. Here the. He and his co-authors resolved several other significant theoretical open questions in Operations Research and Mathematical Programming, such as developed “A primal-dual interior-point method whose running time depends only on the constraint matrix”, produced the first strongly polynomial-time algorithm for Markov Decision Processes (MDP.

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A primal-dual interior point method is used. The running time of the interior point method can be bounded in terms of a condition number of the coefficient matrix A that has been proposed by Ye. Vavasis and Y. An accelerated interior point method whose running time depends only on A.

Technical ReportDepartment of Computer Science, Cornell University, Ithaca, NY, Google Scholar Digital Library; S. Vavasis and Y. BibTeX @TECHREPORT{Vavasis93anaccelerated, author = {Stephen A. Vavasis and Yinyu Ye}, title = {An Accelerated Interior Point Method Whose Running Time Depends Only on A}, institution = {IN PROCEEDINGS OF 26TH ANNUAL ACM SYMPOSIUM ON THE THEORY OF COMPUTING}, year =.

[Show full abstract] function of This paper represents a simplification of an earlier manuscript "An accelerated interior point method whose running depends only on A" by the same authors.

Second-order cone interior-point method for quasistatic and moderate dynamic cohesive fracture Recovery of a mixture of Gaussians by sum-of-norms clustering Potential-based analyses of first-order methods for constrained and composite optimization.

This paper represents a simplification of an earlier manuscript “An accelerated interior point method whose running time depends only onA” by the same authors. This work is supported in part by the National Science Foundation, the Air Force Office of Scientific Research, and the Office of Naval Research, through NSF grant DMS The LLS steps can be thought of as accelerating a path-following interior point method whenever near-degeneracies occur.

One consequence of the new method is a new characterization of the central path: we show that it composed of at most n-squared alternating straight and curved segments. An Accelerated Interior Point Method Whose Running Time Depends Only on A. The LLS steps can be thought of as accelerating a path-following interior point method whenever near-degeneracies occur.

One consequence of the new method is a new characterization of the central path: we show that it composed of at most n 2 alternating straight and. [C13] ``An accelerated interior-point method whose running time depends only on A,'' (S.

Vavasis and Y. Ye), Proc. of the Twenty-Sixth ACM Symposium on Theory of Computing () CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We propose a primal-dual "layered-step" interior point (LIP) algorithm for linear programming with data given by real numbers.

This algorithm follows the central path, either with short steps or with a new type of step called a "layered least squares" (LLS) step. The algorithm returns an exact optimum after a finite. An accelerated interior point method whose running time depends only on A (SAV, YY), pp. – Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr.

Vadim Zaytsev. An Accelerated Interior Point Method Whose Running Time Depends Only on A, Mathematical Programming (). Received 3 June ; final manuscript accepted 7 June Recommended articles Citing articles (0). A Simplification to “A Primal-Dual Interior Point Method Whose Running Time Depends Only on the Constraint Matrix” Pages Vavasis, Stephen A.

(et al.). Combining interior-point and pivoting algorithms for linear programming (E. Andersen and Y. Ye), Management Scie () A primal-dual interior-point method whose running time depends only on the constraint matrix (S. Vavasis and Y. () A primal-dual interior point method whose running time depends only on the constraint matrix.

Mathematical Programming() New infeasible interior-point algorithm based on monomial method. () A primal-dual interior point method whose running time depends only on the constraint matrix. Mathematical Programming() Application of interior point methods to power flow unsolvability.

Interior-point methods for optimization The culmination of this work was the book (Nesterov and Nemirovski ), whose complexity emphasis contrasted with the classic self-concordance-based theory of polynomial-time interior-point methods de-veloped in Nesterov and Nemirovski (); this theory explained the nature.

S.A. Vavasis and Y. Ye, "An accelerated interior point method whose running time depends only on A", Tech- nical ReportDepartment of Computer Science, Cornell University, Ithaca, NY, [11] Y.

Ye, "Toward probabilistic analysis of interior-point algorithms for linear programming", Math. Oper. Re.~. 19, (). "A simplification to A Primal-Dual Interior Point Method Whose Running Time Depends Only on the Constraint Matrix," Technical Note, Department of Management Science, University of Iowa, Iowa City, January Song Xu.

An accelerated interior point method whose running time depends only on A (SAV, YY), pp. – STOCSantisDFY #how How to share a function securely (ADS, YD, YF. A Primal-Dual Accelerated Interior Point Method Whose Running Time Depends Only on A.

On Effectively Computing the Analytic Center of the Solution Set by Primal-Dual Interior-Point Methods. María D. González-Lima Roos, AND J.-P. VIA, Polynomial-time long-steps algorithms for linear programming based on the use of the logarithmic.Bibliographic content of STOC default search action.

combined dblp search; author search; venue search; A randomized linear-time algorithm for finding minimum spanning trees. view. An accelerated interior point method whose running time depends only on .List of computer science publications by Stephen A.

Vavasis. default search action. combined dblp search; author search A primal-dual interior point method whose running time depends only on the constraint matrix. Math. Program. An accelerated interior point method whose running time depends only on A (extended abstract.