Transactions on Computational Science IWe would like to present, with great pleasure, the inaugural volume of a new scholarly journal, Transactions on Computational Science. This journal is part of the Springer series Lecture Notes in Computer Science, and is devoted to the gamut of computational science issues, from theoretical aspects to application-dependent studies and the validation of emerging technologies. This new journal was envisioned and founded to represent the growing needs of computational science as an emerging and increasingly vital field, now widely recognized as an integral part of scientific and technical investigations. Its mission is to become a voice of the computational science community, addressing researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions. Transactions on Computational Science focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing facilitation of the theoretical foundations and the applications of lar- scale computations to massive data processing. The Journal is intended as a forum for practitioners and researchers to share computational techniques and solutions in the area, to identify new issues and to shape future directions for research, while industrial users may apply techniques of leading-edge, large-scale, high-performance computational methods. |
Contents
Information Systems Design | 1 |
Partners Selection in MultiAgent Systems by Using Linear | 37 |
Topology Representing Network Map A New Tool for Visualization | 61 |
Curve Fitting by Fractal Interpolation | 85 |
Building Fuzzy Inference Systems with a New Interval Type2 Fuzzy | 104 |
Missing Value Imputation Based on Data Clustering | 128 |
The Homotopy WienerHermite Expansion and Perturbation Technique | 159 |
| 181 | |
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Common terms and phrases
addition agent algorithm allocation and binding analysis applied approach approximate attractor attribute behavior boundary condition C-step calculated called clustering Complete computing consider constructed ContributionRatio curve data flow data set defined denotes determined different Dimension dimensionality distance dynamics equation evaluate example expression factors Figure flow flowware fluid Formal fractal interpolation function fuzzy logic GainRatio given graph homotopy IEEE imputation initial input instance interpolation interpolation points interval type-2 fuzzy linear mapping means method missing values negotiation neural non-linear obtained operations original output parameters partners selection performs points potential partners presented problem projection proposed reasoning Reconfigurable reduction registers relation representation Representing respectively rule scheduling Science shown solution solving space step stream structure suitable synthesis Systems Table technique Topology transformation TRNMap University variables visualization