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 267 articles , 3 standard articles )

Showing results 1 to 20 of 267.
Sorted by year (citations)

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  1. Berglund, Martin; Bester, Willem; van der Merwe, Brink: Formalising and implementing boost POSIX regular expression matching (2021)
  2. Rolf Bork, Jonathan Hanks, David Barker, Joseph Betzwieser, Jameson Rollins, Keith Thorne, Erik von Reis: advligorts: The Advanced LIGO real-time digital control and data acquisition system (2021) not zbMATH
  3. Taylor Griswold; Curtis Kapsak; Jessica C. Chen; Henk C. den Bakker; Grant Williams; Alyssa Kelley; Eshaw Vidyaprakash; Lee S. Katz: SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data (2021) not zbMATH
  4. 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)
  5. Rodrigues de Holanda Maia, Marcelo; Plastino, Alexandre; Penna, Puca Huachi Vaz: MineReduce: an approach based on data mining for problem size reduction (2020)
  6. Sverdlov, Oleksandr; Ryeznik, Yevgen; Wong, Weng Kee: On optimal designs for clinical trials: an updated review (2020)
  7. 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)
  8. Freydenberger, Dominik D.; Schmid, Markus L.: Deterministic regular expressions with back-references (2019)
  9. Gusfield, Dan: Integer linear programming in computational and systems biology. An entry-level text and course (2019)
  10. Napoletano, Antonio; Martínez-Gavara, Anna; Festa, Paola; Pastore, Tommaso; Martí, Rafael: Heuristics for the constrained incremental graph drawing problem (2019)
  11. Stefanello, Fernando; Aggarwal, Vaneet; Buriol, Luciana S.; Resende, Mauricio G. C.: Hybrid algorithms for placement of virtual machines across geo-separated data centers (2019)
  12. Zhou, Qing; Benlic, Una; Wu, Qinghua; Hao, Jin-Kao: Heuristic search to the capacitated clustering problem (2019)
  13. Berglund, Martin; Bester, Willem; van der Merwe, Brink: Formalising Boost POSIX regular expression matching (2018)
  14. de Holanda Maia, Marcelo Rodrigues; Plastino, Alexandre; Penna, Puca Huachi Vaz: Hybrid data mining heuristics for the heterogeneous fleet vehicle routing problem (2018)
  15. Martins, Daniel; Vianna, Gabriel M.; Rosseti, Isabel; Martins, Simone L.; Plastino, Alexandre: Making a state-of-the-art heuristic faster with data mining (2018)
  16. Pinto, Bruno Q.; Ribeiro, Celso C.; Rosseti, Isabel; Plastino, Alexandre: A biased random-key genetic algorithm for the maximum quasi-clique problem (2018)
  17. Reyes, Alberto; Ribeiro, Celso C.: Extending time-to-target plots to multiple instances (2018)
  18. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  19. Tunga, Burcu: A hybrid algorithm with cluster analysis in modelling high dimensional data (2018)
  20. Wicke, Kristina; Fischer, Mareike: Phylogenetic diversity and biodiversity indices on phylogenetic networks (2018)

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