4 edition of **Complexity in numerical optimization** found in the catalog.

- 400 Want to read
- 22 Currently reading

Published
**1993**
by World Scientific in Singapore, River Edge, N.J
.

Written in English

- Computational complexity.,
- Mathematical optimization.,
- Numerical analysis.

**Edition Notes**

Includes bibliographical references.

Statement | editor, Panos M. Pardalos. |

Contributions | Pardalos, P. M. 1954- |

Classifications | |
---|---|

LC Classifications | QA267.7 .P37 1993 |

The Physical Object | |

Pagination | xiii, 511 p. : |

Number of Pages | 511 |

ID Numbers | |

Open Library | OL1397330M |

ISBN 10 | 9810214154 |

LC Control Number | 93004827 |

Book Description. For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they must first grasp the analysis of algorithms, computational complexity, and other concepts and modern developments in numerical methods. Books shelved as optimization: Convex Optimization by Stephen Boyd, Introduction to Linear Optimization by Dimitris Bertsimas, Numerical Optimization by.

In mathematical optimization, Dantzig's simplex algorithm (or simplex method) is a popular algorithm for linear programming.. The name of the algorithm is derived from the concept of a simplex and was suggested by T. S. Motzkin. Simplices are not actually used in the method, but one interpretation of it is that it operates on simplicial cones, and these become proper . Dear Gayatri, the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method has complexity O(n 2) where n is the number of variables; the L-BFGS method (see Nocedal, J. and S. J. .

Buy Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science) New edition by Christos H. Papadimitriou, Kenneth Steiglitz (ISBN: ) from Amazon's Book Store. Everyday low /5(31). (This is a live list. Edits and additions welcome) Lecture notes: Highly recommended: video lectures by Prof. S. Boyd at Stanford, this is a rare case where watching live lectures is better than reading a book. * EE Introduction to Linear D.

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Contents. Get this from a library. Complexity in numerical optimization. [P M Pardalos;] -- Computational complexity, originated from the interactions between computer science and numerical optimization, is one of the major theories that have revolutionized the approach to solving.

A conference on Approximation and Complexity in Numerical Optimization: Con tinuous and Discrete Problems was held during February 28 to March 2, at the Center for Applied Optimization of the University of Florida.

A collection of articles on recent complexity developments in numerical optimization. The topics covered include complexity of approximation algorithms, new polynomial time algorithms for convex quadratic minimization and interior point algorithms. Combinatorial Optimization: Algorithms and Complexity (Dover Books Complexity in numerical optimization book Computer Science) - Kindle edition by Papadimitriou, Christos H., Steiglitz, Kenneth.

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