PERL

Programming Perl. Perl is a language for easily manipulating text, files, and processes. Perl provides a more concise and readable way to do many jobs that were formerly accomplished (with difficulty) by programming in the C language or one of the shells. While this book is primarily intended for users of the UNIX operating system, Perl runs on several other operating systems, and provides a portable model of computing across diverse architectures. (wikipedia)


References in zbMATH (referenced in 260 articles , 3 standard articles )

Showing results 1 to 20 of 260.
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  1. Pinto, Bruno Q.; Ribeiro, Celso C.; Rosseti, Isabel; Noronha, Thiago F.: A biased random-key genetic algorithm for routing and wavelength assignment under a sliding scheduled traffic model (2020)
  2. Sverdlov, Oleksandr; Ryeznik, Yevgen; Wong, Weng Kee: On optimal designs for clinical trials: an updated review (2020)
  3. Dos Reis, Daniel Morais; Goulart, Natã; Noronha, Thiago F.; De Souza, Sérgio Ricardo: On the problem of minimizing the cost with optical devices in wavelength division multiplexing optical networks: complexity analysis, mathematical formulation and improved heuristics (2019)
  4. Freydenberger, Dominik D.; Schmid, Markus L.: Deterministic regular expressions with back-references (2019)
  5. Napoletano, Antonio; Martínez-Gavara, Anna; Festa, Paola; Pastore, Tommaso; Martí, Rafael: Heuristics for the constrained incremental graph drawing problem (2019)
  6. Stefanello, Fernando; Aggarwal, Vaneet; Buriol, Luciana S.; Resende, Mauricio G. C.: Hybrid algorithms for placement of virtual machines across geo-separated data centers (2019)
  7. Zhou, Qing; Benlic, Una; Wu, Qinghua; Hao, Jin-Kao: Heuristic search to the capacitated clustering problem (2019)
  8. Berglund, Martin; Bester, Willem; van der Merwe, Brink: Formalising Boost POSIX regular expression matching (2018)
  9. de Holanda Maia, Marcelo Rodrigues; Plastino, Alexandre; Penna, Puca Huachi Vaz: Hybrid data mining heuristics for the heterogeneous fleet vehicle routing problem (2018)
  10. Martins, Daniel; Vianna, Gabriel M.; Rosseti, Isabel; Martins, Simone L.; Plastino, Alexandre: Making a state-of-the-art heuristic faster with data mining (2018)
  11. Pinto, Bruno Q.; Ribeiro, Celso C.; Rosseti, Isabel; Plastino, Alexandre: A biased random-key genetic algorithm for the maximum quasi-clique problem (2018)
  12. Reyes, Alberto; Ribeiro, Celso C.: Extending time-to-target plots to multiple instances (2018)
  13. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  14. Tunga, Burcu: A hybrid algorithm with cluster analysis in modelling high dimensional data (2018)
  15. Wicke, Kristina; Fischer, Mareike: Phylogenetic diversity and biodiversity indices on phylogenetic networks (2018)
  16. Berglund, Martin; van der Merwe, Brink; Watson, Bruce; Weideman, Nicolaas: On the semantics of atomic subgroups in practical regular expressions (2017)
  17. Berman, Abraham (ed.); Bomze, Immanuel M. (ed.); Dür, Mirjam (ed.); Shaked-Monderer, Naomi (ed.): Copositivity and complete positivity. Abstracts from the workshop held October 29 -- Novermber 4, 2017 (2017)
  18. Groz, B.; Maneth, S.: Efficient testing and matching of deterministic regular expressions (2017)
  19. Levorato, Mario; Figueiredo, Rosa; Frota, Yuri; Drummond, Lúcia: Evaluating balancing on social networks through the efficient solution of correlation clustering problems (2017)
  20. Máximo, Vinícius R.; Nascimento, Mariá C. V.; Carvalho, André C. P. L. F.: Intelligent-guided adaptive search for the maximum covering location problem (2017)

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