𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A new software architecture for developing and testing algorithms for space exploration missions

✍ Scribed by Enrico Simetti; Enrica Zereik; Alessandro Sperindé; Sandro Torelli; Davide Ducco; Fabio Frassinelli; Alessio Turetta; Giuseppe Casalino

Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
984 KB
Volume
4
Category
Article
ISSN
1861-2776

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A new software architecture for parallel
A new software architecture for parallel computation and visualization
✍ D.M. Butler 📂 Article 📅 1992 🏛 Elsevier Science ⚖ 315 KB

A novel mathematical data model is investigated as a basis for software environments integrating high performance numerical computation, spontaneous visualization, computation steering, and visual programming in the context of distributed, parallel or network computing. By implementing this data mod

A generic approach to parallelizing and
A generic approach to parallelizing and developing control algorithms for heterogeneous architectures
✍ M. J. Baxter; M. O. Tokhi; P. J. Fleming 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 249 KB 👁 2 views

System developers have found that exploiting parallel architectures for control systems is challenging and often the resulting implementations do not provide the expected performance advantages over traditional uniprocessor solutions. This paper presents a generic method and a suite of design tools

Tarsier: a practical software framework
Tarsier: a practical software framework for model development, testing and deployment
✍ Fred G.R. Watson; Joel M. Rahman 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 641 KB

A new software framework for environmental simulation modeling is described. The framework facilitates fast, powerful model development by providing a system for implementing separate model elements as autonomous modules, which may then be tightly and flexibility integrated. The system is object-ori

Development of a novel genetic algorithm
Development of a novel genetic algorithm search method (GAP1.0) for exploring peptide conformational space
✍ Jin, A. Y.; Leung, F. Y.; Weaver, D. F. 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 260 KB 👁 1 views

A genetic algorithm-driven search method GAP1.0; Genetic . Algorithm Peptide search, version 1.0 has been developed for the computational exploration of peptide conformational space. The suitability of a variety of genetic algorithm operators was evaluated through representative calculations w x Ž .