By Evangelos Kranakis, Gonzalo Navarro, Edgar Chávez

This publication constitutes the refereed complaints of the twelfth Latin American Symposium on Theoretical Informatics, LATIN 2016, held in Ensenada, Mexico, in April 2016.

The fifty two papers provided including five abstracts have been rigorously reviewed and chosen from 131 submissions. The papers tackle quite a few themes in theoretical desktop technology with a definite concentrate on algorithms (approximation, on-line, randomized, algorithmic video game thought, etc.), analytic combinatorics and research of algorithms, automata thought and formal languages, coding thought and knowledge compression, combinatorial algorithms, combinatorial optimization, combinatorics and graph idea, complexity concept, computational algebra, computational biology, computational geometry, computational quantity idea, cryptology, databases and data retrieval, info constructions, formal tools and safety, web and the net, parallel and disbursed computing, development matching, programming language conception, and random structures.

**Read or Download LATIN 2016: Theoretical Informatics: 12th Latin American Symposium, Ensenada, Mexico, April 11-15, 2016, Proceedings PDF**

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**Additional info for LATIN 2016: Theoretical Informatics: 12th Latin American Symposium, Ensenada, Mexico, April 11-15, 2016, Proceedings**

**Example text**

We require that the middle curve consists of points of the input curves and that it minimizes the discrete Fr´echet distance to the input curves. We present algorithms for three diﬀerent variants of this problem: computing an ordered middle curve, computing an ordered and restricted middle curve, and computing an unordered middle curve. 1 Introduction Sequential point data, such as time series and trajectories, are ever increasing due to technological advances, and the analysis of these data calls for eﬃcient algorithms.

5 on the competitive ratio of any randomized algorithm is shown for that model [5]. Apart from comparison-based algorithms, the model of a single FIFO queue has been extensively studied. 983-competitive. 419 on the competitive ratio of any deterministic algorithm. Algorithm pg adopts the same preemption strategy of greedy and moreover, upon the arrival of a packet p, it proactively drops the ﬁrst packet in the queue whose value is within a fraction of the value of p. This additional rule makes pg non-comparison-based.

75. In fact, this is the only randomized algorithm known for this model. In a related model with multiple FIFO queues, Azar and Richter [7] give a comparison-based deterministic algorithm with a competitive ratio of 3. In another related model, where the buﬀer is not FIFO and packet values are not known for the online algorithm, Azar et al. 69. 5 on the competitive ratio of any randomized algorithm is shown for that model [5]. Apart from comparison-based algorithms, the model of a single FIFO queue has been extensively studied.