Výsledky vyhledávání - "Lambert Meertens"

Autor: Lambert Meertens

Publikováno v: Inference: International Review of Science. 7

Python is arguably the most popular programming language worldwide. Since its debut in 1991, Python’s accessibility and rich functionality has helped it gather a huge userbase. Its design was influenced by creator Guido van Rossum’s involvement w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a87643d261e1cbb9dc118ab23095c739
https://doi.org/10.37282/991819.22.56

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An Early Experiment in Algorithmic Composition

Autor: Lambert Meertens

Publikováno v: History of Computing ISBN: 9783031130328

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::efb61529e1a3e7788fe376adead740fb
https://doi.org/10.1007/978-3-031-13033-5_8

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Algorithmics

Autor: Richard Bird, Jeremy Gibbons, Ralf Hinze, Peter Höfner, Johan Jeuring, Lambert Meertens, Bernhard Möller, Carroll Morgan, Tom Schrijvers, Wouter Swierstra, Nicolas Wu

Publikováno v: Advancing Research in Information and Communication Technology
Advancing Research in Information and Communication Technology, AICT-600, pp.59-98, 2021, ⟨10.1007/978-3-030-81701-5_3⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030817008

TC 2: Software: Theory and Practice; International audience; Algorithmics is the study and practice of taking a high-level description of a program’s purpose and, from it, producing an executable program of acceptable efficiency. Each step in that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3956660967d810a18e7fa6c99ee9c78c
https://hal.inria.fr/hal-03325977

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FUNCTIONAL PEARL Calculating the Sieve of Eratosthenes

Autor: Lambert Meertens

Publikováno v: Journal of Functional Programming. 14:759-763

The Sieve of Eratosthenes is an efficient algorithm for computing the successive primes. Rendered informally, it is as follows:1. Write down the successive “plurals”: 2, 3, 4, …2. Repeat:(a) Take the first number that is not circled or crossed

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https://doi.org/10.1017/s0956796804005210

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Paramorphisms

Autor: Lambert Meertens

Publikováno v: Formal Aspects of Computing. 4:413-424

“Catamorphisms” are functions on an initial data type (an inductively defined domain) whose inductive definitional pattern mimics that of the type. These functions have powerful calculation properties by which inductive reasoning can be replaced

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3839d13328b50bf4b395e7be56db5f79
https://doi.org/10.1007/bf01211391

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Node density independent localization

Autor: Miklós Maróti, Lambert Meertens, Branislav Kusy, Akos Ledeczi

Publikováno v: IPSN

This paper presents an enhanced version of a novel radio interferometric positioning technique for node localization in wireless sensor networks that provides both high accuracy and long range simultaneously. The ranging method utilizes two transmitt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::40bf6e7b6d6f73cf50c14da48713220c
https://doi.org/10.1145/1127777.1127844

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Distributed Coordination through Anarchic Optimization

Autor: Lambert Meertens, Stephen Fitzpatrick

Publikováno v: Multiagent Systems, Artificial Societies, and Simulated Organizations ISBN: 9781461350392

In this chapter, a peer-to-peer algorithm is described for approximately solving distributed, real-time, constraint optimization problems. The ANTS challenge problem is formulated as a distributed constraint optimization problem; an approximation ver

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https://doi.org/10.1007/978-1-4615-0363-7_11

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An Experimental Assessment of a Stochastic, Anytime, Decentralized, Soft Colourer for Sparse Graphs

Autor: Lambert Meertens, Stephen Fitzpatrick

Publikováno v: Stochastic Algorithms: Foundations and Applications ISBN: 9783540430254
SAGA

This paper reports on a simple, decentralized, anytime, stochastic, soft graph-colouring algorithm. The algorithm is designed to quickly reduce the number of colour conflicts in large, sparse graphs in a scalable, robust, low-cost manner. The algorit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ceabfd471f933773d40a131ab17a2f6
https://doi.org/10.1007/3-540-45322-9_3

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