Download PDF by David Peleg (auth.), Rossella Petreschi, Giuseppe Persiano,: Algorithms and Complexity: 5th Italian Conference, CIAC

By David Peleg (auth.), Rossella Petreschi, Giuseppe Persiano, Riccardo Silvestri (eds.)

ISBN-10: 3540401768

ISBN-13: 9783540401766

ISBN-10: 3540448497

ISBN-13: 9783540448495

This ebook constitutes the refereed court cases of the fifth Italian convention on Algorithms and Computation, CIAC 2003, held in Rome, Italy in may well 2003.

The 23 revised complete papers offered have been conscientiously reviewed and chosen from fifty seven submissions. one of the issues addressed are complexity, complexity concept, geometric computing, matching, on-line algorithms, combinatorial optimization, computational graph thought, approximation algorithms, community algorithms, routing, and scheduling.

Show description

Read Online or Download Algorithms and Complexity: 5th Italian Conference, CIAC 2003, Rome, Italy, May 28–30, 2003. Proceedings PDF

Best algorithms books

Encyclopedia of Algorithms - download pdf or read online

"The Encyclopedia of Algorithms" will offer a complete set of strategies to big algorithmic difficulties for college kids and researchers drawn to speedy finding beneficial details. the 1st variation of the reference will specialise in high-impact recommendations from the newest decade; later variations will widen the scope of the paintings.

Download PDF by Werner Peeters (auth.), Robert Lowen, Alain Verschoren: Foundations of Generic Optimization: Volume 2: Applications

It is a accomplished review of the fundamentals of fuzzy keep an eye on, which additionally brings jointly a few contemporary examine ends up in tender computing, specifically fuzzy good judgment utilizing genetic algorithms and neural networks. This publication deals researchers not just a great heritage but in addition a photograph of the present cutting-edge during this box.

New PDF release: Introduction to Parallel Algorithms and Architectures:

This seminal paintings provides the single entire integration of important issues in computing device structure and parallel algorithms. The textual content is written for designers, programmers, and engineers who have to comprehend those concerns at a basic point with the intention to make the most of the complete strength afforded by means of parallel computation.

Get The CS Detective: An Algorithmic Tale of Crime, Conspiracy, PDF

Meet Frank Runtime. Disgraced ex-detective. Hard-boiled inner most eye. seek specialist. whilst a theft hits police headquarters, it truly is as much as Frank Runtime and his large seek talents to seize the culprits. during this detective tale, you are going to how you can use algorithmic instruments to unravel the case. Runtime scours smugglers' boats with binary seek, tails spies with a seek tree, escapes a jail with depth-first seek, and choices locks with precedence queues.

Extra resources for Algorithms and Complexity: 5th Italian Conference, CIAC 2003, Rome, Italy, May 28–30, 2003. Proceedings

Example text

We anchor the line segment q1 q2 with the line segment pi pj with q1 anchored at pi , (if it fails we would anchor q2 with pi ) and search in Si (data structure corresponding to pi in S) to identify the presence of a match. For each point qα ∈ Q, the tuple ( qα q1 q2 , δ(q1 qα )) is searched in Si . , the triangle ∆p pi pj in P is congruent with the triangle ∆qα q1 q2 in Q), p matches with qα . If all the points in Q are matched with k points of P , then Q matches with P (see Figure 1 for an illustration).

The time reported is averaged over a number of experiments for different values of K. The drastic improvement in the execution time, as reported in the last column of Table 1, is due to the fact that, in general, the maximum An Improved Algorithm for Point Set Pattern Matching under Rigid Motion 41 Table 1. Comparative results with respect to CPU Time CPU Time in µ sec. 35 number of equidistant pair of points is very small compared to its theoretical upper bound (see Table 2). Table 2. 2 Experiment with Real Fingerprint Minutiae The proposed algorithm is also tested using real fingerprint minutiae, extracted from fingerprints in the NIST 14 sdb [10,26].

1 Preprocessing The T data structure for this problem is an AVL-tree containing the length of the line segments in the sample set P . The members in T are all distinct. If more than one line segment are of the same length δ, then they are stored in the structure χδ attached to the corresponding node of T . Each entry of χδ corresponds to a line segment = pi pm ∈ P ; it contains a 4-tuple {pi , pm , ptr1 , ptr2 }, where ptr1 and ptr2 point to two AVL-trees Si and Sm corresponding to the points pi and pm respectively.

Download PDF sample

Algorithms and Complexity: 5th Italian Conference, CIAC 2003, Rome, Italy, May 28–30, 2003. Proceedings by David Peleg (auth.), Rossella Petreschi, Giuseppe Persiano, Riccardo Silvestri (eds.)

by Richard

Rated 4.81 of 5 – based on 17 votes