International Journal of Computer and Information Sciences (Int J Parallel Program )
International Journal of Parallel Programming is a forum for the publication of peer-reviewed high-quality original papers in the computer and information sciences focusing specifically on programming aspects of parallel computing systems. Such systems are characterized by the coexistence over time of multiple coordinated activities. The journal publishes both original research and survey papers. Fields of interest include: linguistic foundations conceptual frameworks high-level languages evaluation methods implementation techniques programming support systems pragmatic considerations architectural characteristics software engineering aspects advances in parallel algorithms performance studies and application studies
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- WebsiteInternational Journal of Parallel Programming website
- Other titlesInternational journal of parallel programming (Online)
- Material typeDocument, Periodical, Internet resource
- Document typeInternet Resource, Computer File, Journal / Magazine / Newspaper
- Author can archive a pre-print version
- Author can archive a post-print version
- Author's pre-print on pre-print servers such as arXiv.org
- Author's post-print on author's personal website immediately
- Author's post-print on any open access repository after 12 months after publication
- Publisher's version/PDF cannot be used
- Published source must be acknowledged
- Must link to publisher version
- Set phrase to accompany link to published version (see policy)
- Articles in some journals can be made Open Access on payment of additional charge
- Classification green
Publications in this journal
- International Journal of Computer and Information Sciences 04/2013; 13(2):101-113.
- International Journal of Computer and Information Sciences 01/2008; 2(2).
- International Journal of Computer and Information Sciences 01/2007; 1(1).
- [Show abstract] [Hide abstract]
ABSTRACT: This paper describes how a computer-algebra system can solve variational optimization problems analytically. For a calculus-or-variations problem, users provide functional integrands and constraints. A program derives corresponding Euler-Lagrange equations, together perhaps with first integrals. Other programs attempt analytic solution of these equations. For an optimal control problem, users provide analytic expressions for the differential constraints on the state variables. A program determines the corresponding Hamiltonian and differential equations for the auxiliary variables, together with solutions to any trivial auxiliary equations. Other programs attempt analytic solution of the remaining equations while maximizing the Hamiltonian.International Journal of Computer and Information Sciences 08/1979; 8(5):419-434.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.