Transactions on Computational Science XXXVIII, 1st ed. 2021 Transactions on Computational Science Series

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses 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, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.

This, the 38th issue of the Transactions on Computational Science, is devoted to research on modelling, optimization, and graphs, with applications in 3D and sketch modelling, engineering design, evolutionary computing, and networks.

Efficient Creation of 3D Organic Models from Sketches and ODE-based Deformations.- Tree Species Modelling for Digital Twin Cities.- Self-restructuring of Mesh-Connected Processor Arrays with Spares Assigned on Rotated Orthogonal Side.- Algorithms for Generating Strongly Chordal Graphs.- A New Bio-heuristic Hybrid Optimization for Constrained Continuous Problems.- Analysis and Optimization of Low Power Wide Area IoT Network.- Novel Hybrid GWO-WOA and BAT-PSO Algorithms for Solving Design Optimization Problems.

Includes research on 3D models from sketches and for use in virtual city planning Presents a method for enhancing the run-time reliability of a processing array in mission-critical systems Contains research on nature-inspired algorithms, algorithms for generating strongly chordal graphs, and the analysis and optimization of Low Power Wide Area IoT networks