Cover image for Computational Methods In Sciences And Engineering, Proceedings Of The International Conference (iccmse 2003).
Computational Methods In Sciences And Engineering, Proceedings Of The International Conference (iccmse 2003).
Title:
Computational Methods In Sciences And Engineering, Proceedings Of The International Conference (iccmse 2003).
Author:
Simos, T. E.
ISBN:
9789812704658
Personal Author:
Physical Description:
1 online resource (719 pages)
Contents:
TABLE OF CONTENTS -- PREFACE FOR THE PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES GREECE AND ENGINEERING (ICCMSE 2003), SEPTEMBER 12-16, KASTORIA, -- 1. P. Abad, Components for Time Serie Receiver Clock Offset in GPS Solutions -- 1. Motivation and Introduction -- 2. Two-Corrections models to solve the equations systems -- 3. Conclusions -- References -- 2. E. Afjei, M. H. Arbab, Magnetostatic Field Analysis by Employing Absorbing Boundary Condition -- Problem Description & Development -- The governing equations are -- Numerical Analysis -- 3. Z. Akdogan, M. Demirci and O. Sh. Mukhtarov, Sturm-Liouville Problems with Eigendependent Boundary and Transmissions Conditions -- References -- 4. T. M. Alkhamis, Computational Method for Unconstrained Optimization Functions with Noise -- 1. Guidelines -- Main Step -- References -- 5. M. Al-Refai, Convergence Analysis for an Iterative Method for Solving Nonlinear Parabolic Systems -- 6. G. M. Amiraliyev, Unform Numerical Method for a Quasilinear System with Boundary Layer -- 1. Introduction -- 2. Analytical Results -- 3. Discretization and Non-uniform Mesh -- 4. Uniform Convergence -- 5. Numerical Results -- References -- 7. Z. A. Anastassi and T. E. Simos, A Family of Optimized Runge-Kutta Methods with Five Stages and Fourth Order for IVPS with Oscillating Solutions -- 8. R Anguelov, P. Kama and JM-S Lubuma, Nonstandard Theta-Method and Related Discrete Schemes for the Reaction-Dirusion Equation -- References -- 9. O. Angulo, J. C. Lopez-Marcos, Numerical Integration of a Size-Structured Cell Population Model in an Environment of Changing Substrate Concentration -- Acknowledgements -- References.

10. I. Arregui, J. J. Cendan and C. Vazquez, A Duality Method for the Compressible Reynolds Equation. Application to Simulation of Readwrite Process in Magnetic Storage Devices -- 11. F. Balibrea, J. L. C. Guirao and F. L. Pelayo, An Environment for Computing Topological Entropy for Skew-Product Transformations -- The scenario: -- An interesting application: -- References -- 12. P. G. Bagos, Th. D. Liakopoulos and S. J. Hamodrakas, Maximum Likelihood and Conditional Maximum Likelihood Learning Algorithms for Hidden Markov Models with Labeled Data-Application to Transmembrane Protein Topology Prediction -- 1. Introduction -- 1.1. Hidden Markov Models -- 1.2 Maximum Likelihood training -- 2. Labeled sequences and learning algorithms -- 2.1. Labeled Sequences -- 2.2. Discriminative training -- 2.3 Maximum Likelihood (ML) gradient descent method for labeled sequences -- 3. Transmembrane protein topology prediction -- 3.1. Data sets and topology of the model -- 3.2. Results and Discussion -- References -- 13. M. K. Banda, Variants of Relaxed Schemes and two-Dimensional Gas Dynamaics -- 1. Introduction -- 1.1. Space Discretization -- 2. Extensions to Relaxed Schemes -- 2.1. More Accurate Speeds of Propagation -- 2.2. Multidimensional Schemes -- 3. Numerical Tests -- 4. Summary -- References -- 14. S. C. Basak, B. D. Cute and D. Mills, Predicting Toxicity of Chemicals Using Chemodescriptors and Biodescriptors: an Integrated Approach -- 15. S. R. Basu, Measuring Economic Well-Being and Governance: Some Methodological Tools -- 16. F. A. Batzias, N. P. Nikolaou, A. S. Kakos and 1. Mihailides, Modelling the Natural Gas Consumption in a Changing Environment -- 1. Introduction -- 2. Methodology -- 3. Implementation and Results -- 4. Supplementary Information by Statistical Analysis -- 5. Conclusions and Recommendations -- Acknowledgments -- References.

17. F. A. Batzias, A. S. Kakos and N. P. Nikolaou, Computer Aided Dimensional Analysis for Knowledge Management in Chemical Engineering Processes -- 1. Introduction -- 2. Methodology -- 3. Implementation -- 4. Discussion -- 5. Conclusions -- 6. Acknowledgments -- References -- Appendix -- 18. L. Bayon, J. M. Grau, M. M. Ruiz and P. Suarez,New Developments on Equivalent Thermal in Hydrothermal Optimization. An Algorithm of Approximation -- 1. Introduction -- 2. New Theoretical Developments -- 3. An Algorithm of Approximation -- References -- 19. Di. Belkif Unique Virtues of the Pad& Approximant for High-Resolution Signal Processing -- 20. Y. S. Boutalis and O. I. Kosmidou, A Feedback Linearization Technique by Using Neural Networks: Application to Bioprocess control -- REFERENCES -- 21. J. C. Butcher, Some Numerical Methods for Stiff Problems -- 1. Introduction -- 2. A-stable implicit Runge-Kutta methods -- 3. A-stable general linear methods with the IRKS property -- 22. E. Camouzis, R. Devault, G. Papaschinopoulos, Period Two Trichotomy on -- 23. P. Carbonniere, D. Begue, A. Dargelos and C. Pouchan, Least Squares Fits of Potentials by Using Energy and Gradient Data: Vibrational Anharmonic Spectra for H2Co @om DFT Calculations -- 1. Introduction -- 2. Method -- 3. Example of (E-G) method : application and tests for H2C0 -- References -- 24. G. Castellano, A. M. Fanelli and C. Mencar, Deriving Prediction Intervals for Neurofuzzy Networks -- 1. Introduction -- 2. A neuro-fuzzy network -- 3. Prediction interval derivation -- 4. 'Illustrative example -- 5. Conclusions -- References -- 25. M. M. Cerimele, D. Mansutti and F. Pistella, Marangoni Efsects in a Horizontal Solidjkation Process in Microgravity -- Acknowledgments -- References.

26. C. S. Chew, K. S. Yeo and C. Shu, Simulation of Incompressible Flows Across Moving Bodies Using Meshless Finite Difrerencing -- References -- 27. A. Chortaras, Y. Guo, M. M. Ghanem, F. O. Bunnin, Automatic Generation of Software Components for Real Options Modelling -- 1. Introduction -- 2. System Design -- 3. Conclusions -- References -- 28. V. N. Christofilakis, Ch. Alexopoulos, Modeling the State and Behavior of an Enzyme Using UML- an Object Oriented Approach -- 1. Extended Abstract -- References -- 29. K. Daoulas and V. G. Mavrantzas, Atomistic Monte Carlo Simulation Studies of Polymer Melts Grafted on Solid Substrates -- 1. Introduction -- 2. Molecular model -- 3. Simulation method -- 4. Results -- References -- 30. N. J. Daras, Markov 's Property and Generalized Pade-Type Approximants -- References -- 1. References -- 31. M. Darbandi, K. Mazaheri-Body, S. Vakilipour, A Pressure Weighted Upwinding Scheme for Calculating Flows on Unstructured Grids -- 1. Introduction -- 2. Grid Arrangement -- 3. Computational Modeling -- 4. Results -- 5. Closure -- References -- 32. K. Dosios, K. Paparrizos, N. Samaras and A. Sifaleras, An Eflcient Modijkation of the Primal-Dual Ttwo Paths Simplex Algorithm -- References -- 33. V. Drakopoulos, Comparing Sequential Visualisation Methods for the Mandelbrot Set -- 1. Introduction -- 2. Comparative results -- 3. Conclusions -- References -- 34. I. Z. Emiris and Th. G. Nikitopoulos, Structured Matrix Perturbations for Molecular Conformations -- 1. Introduction -- 2. Matrix perturbations -- 3. Cycloalkanes -- References -- 35. G. Cerruela Garcia, I. Luque Rub, M. A. Gomez-Nieto, A New Algorithm to Obtain All Maximum Common Subgraphs in Molecular Graphs Using Binary Arithmetic and Constraints Satisfaction Model -- 1. Introduction -- 2. The Isomorphism model -- 3. Matching-Characteristics Algorithm (MCA).

4. Results -- References -- 36. M. Christodoulakis, C. S. Iliopoulos, Kunsoo Park, J. S. Sim, Implementing Approximate Regularities Extended Abstract -- 1. Introduction -- 2. Preliminaries -- 2.1. Distance functions -- 2 -2. Approximate Regularities -- 3. Problem Definitions and Solutions -- 3.1. Smallest Distance Approximate Period/Cover/Seed Problem -- 3.2. Restricted Smallest Approximate Period/Cover/Seed Problem -- 4. Experimental Results -- 4.1. Experimental Environment -- 4.2. Performance -- References -- 37. R. Clifford and M. Sergot, Distributed Suff? Trees and Their Application to Large-Scale Genomic Analysis -- 1. Introduction -- 2. Distributed Suffix Trees -- 2.1. Operations on the DST -- Acknowledgements -- References -- 38. A. Episkopakis, D. Nikolopoulos, K. Arvanitis, N. Dimitropoulos, Modeling the Detective Quantum Eflciency of Scintillators Used in Medical Imaging Radiation Detectors G. Panayiotakis, D. Cavouras and I. Kandarakis, 171-174 -- 1. Introduction -- 2. Materials and Methods -- 3. Results and Discussion -- References -- 39. S. C. Farantos, Bihrcation Phenomena in Molecular Vibrational Spectroscopy -- References -- 40. A. Gaitanis, M. R. Freedman and N. M. Spyrou, Verijkation of a Simple Technique for the Removal of Motion Artefacts in Electrical Impedance Epigastrography Signals -- 1. Introduction -- 2. Materials & Methods -- 3. Results and Conclusions -- References -- 41. P. J. Garcia-Nieto, Numerical Simulation of Scavenging of an Urban Aerosol by Filtration Taking Into Account the Presence of Coagulation, Condensation, and Gravitational Settling -- 1. Introduction -- 1 .l. Coagulation -- 1.2. Nucleation -- 1.3. Deposition -- 1.4. Physical-mathematical model -- 2. Deposition mechanisms in a filter -- 3. Overall efficiency of a filter -- 4. Results and Conclusions -- Acknowledgments -- References.

42. E. E. Gdoutos, A. A. Giannakopoulos and D. A. Zacharopoulos, Stress Analysis and Failure Mechanisms of Compose Materilas with Debonded Interfaces.
Abstract:
In the past few decades, many significant insights have been gained into several areas of computational methods in sciences and engineering. New problems and methodologies have appeared in some areas of sciences and engineering. There is always a need in these fields for the advancement of information exchange. The aim of this book is to facilitate the sharing of ideas, problems and methodologies between computational scientists and engineers in several disciplines. Extended abstracts of papers on the recent advances regarding computational methods in sciences and engineering are provided. The book briefly describes new methods in numerical analysis, computational mathematics, computational and theoretical physics, computational and theoretical chemistry, computational biology, computational mechanics, computational engineering, computational medicine, high performance computing, etc.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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