• PENNON

  • Referenced in 101 articles [sw04336]
  • problems of convex nonlinear and semidefinite programming (NLP-SDP). The algorithm used in PENNON ... Zibulevsky for convex NLP problems. We present generalization of this algorithm to convex ... NLP-SDP problems, as implemented in PENNON and details of its implementation. The code ... with a mixture of SDP, SOCP and NLP constraints. Results of extensive numerical tests...
  • GPOPS

  • Referenced in 80 articles [sw05853]
  • transcribed to a nonlinear programming problem (NLP). The NLP is then solved using either ... NLP solver SNOPT or the NLP solver IPOPT. GPOPS-II has been written by Michael...
  • HOPDM

  • Referenced in 73 articles [sw04342]
  • compares favourably with commercial LP, QP and NLP packages...
  • filterSQP

  • Referenced in 56 articles [sw04725]
  • package for the solution of Nonlinear Programming (NLP) problems. The package implements a Sequential Quadratic...
  • NLTK

  • Referenced in 32 articles [sw00626]
  • offers an introduction to Natural Language Processing (NLP). Natural language means a language that ... content and structure of written communication. NLP is experiencing rapid growth, and technologies based ... NLP are becoming increasingly widespread, for example phones support predictive text and even handwriting recognition ... gives the reader a working knowledge of NLP...
  • DICOPT

  • Referenced in 35 articles [sw04938]
  • algorithm inside DICOPT solves a series of NLP and MIP sub-problems. These sub-problems ... solved using any NLP (Nonlinear Programming) or MIP (Mixed-Integer Programming) solver that runs under...
  • AlphaECP

  • Referenced in 45 articles [sw04940]
  • method which was originally given for convex NLP problems (Kelley, 1960). The method requires only...
  • WORHP

  • Referenced in 15 articles [sw10824]
  • NLP Solver WORHP. We Optimize Really Huge Problems (WORHP) is a solver for large-scale ... interaction between user and nonlinear programming (NLP) solver. It was chosen ... European NLP solver on the basis of its high robustness and its application-driven design ... solver complement the cursory description of general NLP methods and some WORHP implementation details...
  • LogMIP

  • Referenced in 22 articles [sw05035]
  • maturity and reliability as LP, MIP and NLP modeling, these problems have a rich area...
  • AllenNLP

  • Referenced in 11 articles [sw26526]
  • AllenNLP: An open-source NLP research library, built on PyTorch. AllenNLP makes it easy ... deep learning models for nearly any NLP problem, along with the infrastructure to easily ... high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications...
  • GENIA corpus

  • Referenced in 11 articles [sw35527]
  • textmining. Motivation: Natural language processing (NLP) methods are regarded as being useful to raise ... however, causes a major bottleneck for applying NLP techniques. GENIA corpus is being developed ... provide reference materials to let NLP techniques work for bio-textmining. Results: GENIA corpus version...
  • StanfordCoreNLP

  • Referenced in 18 articles [sw19468]
  • Stanford CoreNLP – a suite of core NLP tools. Stanford CoreNLP provides a set of natural...
  • SBB

  • Referenced in 17 articles [sw06250]
  • Linear Programming and some of the standard NLP solvers already supported by GAMS...
  • LiftOpt

  • Referenced in 15 articles [sw06274]
  • advantages of multiple shooting to general NLP problems with nearly no additional computational and implementation...
  • spaCy

  • Referenced in 11 articles [sw20540]
  • spaCy: Industrial-strength NLP. spaCy is a library for advanced natural language processing in Python...
  • Dyna

  • Referenced in 11 articles [sw23357]
  • especially for rapid development of new statistical NLP systems. A Dyna program is a small...
  • HQP/OMUSES

  • Referenced in 9 articles [sw05158]
  • discrete-time optimal control problems, solves general NLP using Powell’s or Schittkowski...
  • dsoa

  • Referenced in 6 articles [sw01448]
  • Runge-Kutta method. The resultant nonlinear programming (NLP) problem is solved via a sequential quadratic ... performance of the algorithm using two different NLP problem solvers, and two techniques for computing...
  • GENLS

  • Referenced in 5 articles [sw02681]
  • transformed into a nonlinear programming problem (NLP) with additional parameter ε to define an initial ... algorithm is implemented for solving the resulting NLP, which combines the concept of co-evolution...
  • SVMTool

  • Referenced in 5 articles [sw07975]
  • applied the SVMTool to a number of NLP problems, such as Part-of-speech Tagging ... which makes it really practical for real NLP applications. Regarding accuracy, the SVM-based tagger...