Vectorization and multitasking of nonlinear network programming algorithms

Stavros A. Zenios, John Michael Mulvey

Research output: Contribution to journalArticlepeer-review


A framework for the vectorization and multitasking of optimization software is developed. It is then applied on the primal truncated Newton algorithm for nonlinear generalized network problems. The vectorization and multitasking of the algorithm is discussed and illustrated with computational experiments with the software system NLPNETG on the CRAY series of vector multiprocessors.

Original languageEnglish (US)
Pages (from-to)449-470
Number of pages22
JournalMathematical Programming, Series B
Issue number2
StatePublished - Nov 1 1988

All Science Journal Classification (ASJC) codes

  • Software
  • General Mathematics


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