LEADER 05268nam 2200649Ia 450 001 9910451313303321 005 20200520144314.0 010 $a1-281-90624-7 010 $a9786611906245 010 $a981-270-465-5 035 $a(CKB)1000000000334398 035 $a(EBL)296097 035 $a(OCoLC)476063327 035 $a(SSID)ssj0000278118 035 $a(PQKBManifestationID)11229572 035 $a(PQKBTitleCode)TC0000278118 035 $a(PQKBWorkID)10241509 035 $a(PQKB)10172190 035 $a(MiAaPQ)EBC296097 035 $a(WSP)00005384 035 $a(Au-PeEL)EBL296097 035 $a(CaPaEBR)ebr10173924 035 $a(EXLCZ)991000000000334398 100 $a20041025d2003 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings of the International Conference of Computational Methods in Sciences and Engineering 2003 (ICCMSE 2003)$b[electronic resource] $eKastoria, Greece, September 12-16 /$feditor, T.E. Simos 210 $aRiver Edge, N.J. ;$aLondon $cWorld Scientific$dc2003 215 $a1 online resource (719 p.) 300 $aDescription based upon print version of record. 311 $a981-238-595-9 320 $aIncludes bibliographical references. 327 $aPREFACE FOR THE PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES GREECE AND ENGINEERING (ICCMSE 2003), SEPTEMBER 12-16, KASTORIA,; TABLE OF CONTENTS; 1. P. Abad, Components for Time Serie Receiver Clock Offset in GPS Solutions; 2. E. Afjei, M. H. Arbab, Magnetostatic Field Analysis by Employing Absorbing Boundary Condition; 3. Z. Akdogan, M. Demirci and O. Sh. Mukhtarov, Sturm-Liouville Problems with Eigen dependent Boundary and Transmissions Conditions; 4. T. M. Alkhamis, Computational Method for Unconstrained Optimization Functions with Noise 327 $a5. M. Al-Refai, Convergence Analysis for an Iterative Method for Solving Nonlinear Parabolic Systems6. G. M. Amiraliyev, Uniform Numerical Method for a Quasilinear System with Boundary Layer; 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 327 $a9. O. Angulo, J. C. Lopez-Marcos, Numerical Integration of a Size-Structured Cell Population Model in an Environment of Changing Substrate Concentration10. 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 327 $a12. 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 Transmembr13. M. K. Banda, Variants of Relaxed Schemes and two-Dimensional Gas Dynamaics; 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 327 $a16. F. A. Batzias, N. P. Nikolaou, A. S. Kakos and 1. Mihailides, Modelling the Natural Gas Consumption in a Changing Environment17. F. A. Batzias, A. S. Kakos and N. P. Nikolaou, Computer Aided Dimensional Analysis for Knowledge Management in Chemical Engineering Processes; 18. L. Bayon, J. M. Grau, M. M. Ruiz and P. Suarez, New Developments on Equivalent Thermal in Hydrothermal Optimization. An Algorithm of Approximation; 19. Di. Belkif Unique Virtues of the Pad& Approximant for High-Resolution Signal Processing 327 $a20. Y. S. Boutalis and O. I. Kosmidou, A Feedback Linearization Technique by Using Neural Networks: Application to Bioprocess control 330 $aIn 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. 606 $aScience$xData processing$vCongresses 606 $aEngineering$xData processing$vCongresses 608 $aElectronic books. 615 0$aScience$xData processing 615 0$aEngineering$xData processing 676 $a502.85 676 $a620.00113 701 $aSimos$b T. E$0906091 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910451313303321 996 $aProceedings of the International Conference of Computational Methods in Sciences and Engineering 2003 (ICCMSE 2003)$92026600 997 $aUNINA LEADER 03386nam 2200553 450 001 996466545003316 005 20230421110608.0 010 $a3-030-64712-9 024 7 $a10.1007/978-3-030-64712-4 035 $a(CKB)4100000011786554 035 $a(DE-He213)978-3-030-64712-4 035 $a(MiAaPQ)EBC6511404 035 $a(Au-PeEL)EBL6511404 035 $a(OCoLC)1244630396 035 $a(PPN)254721419 035 $a(EXLCZ)994100000011786554 100 $a20211005d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBayesian and high-dimensional global optimization /$fAnatoly Zhigljavsky, Antanas Z?ilinskas 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (VIII, 118 p. 54 illus., 38 illus. in color.) 225 1 $aSpringerBriefs in Optimization,$x2190-8354 311 $a3-030-64711-0 327 $a1 Space-?lling in high-dimensional sets -- 2 Bi-objective decisions and partition based methods in Bayesian global optimization -- 3 Global random search in high dimensions. 330 $aAccessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues that face specialists in global optimization are explored, such as multidimensional spaces which are frequently ignored by researchers. The importance of precise interpretation of the mathematical results in assessments of optimization methods is demonstrated through examples of convergence in probability of random search. Methodological issues concerning construction and applicability of stochastic global optimization methods are discussed, including the one-step optimal average improvement method based on a statistical model of the objective function. A significant portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called ?curse of dimensionality?. An examination of the three different classes of high-dimensional optimization problems, the geometry of high-dimensional balls and cubes, very slow convergence of global random search algorithms in large-dimensional problems , and poor uniformity of the uniformly distributed sequences of points are included in this book. . 410 0$aSpringerBriefs in Optimization,$x2190-8354 606 $aNonconvex programming 606 $aOptimització matemàtica$2thub 606 $aEstadística bayesiana$2thub 608 $aLlibres electrònics$2thub 615 0$aNonconvex programming. 615 7$aOptimització matemàtica 615 7$aEstadística bayesiana 676 $a519.7 700 $aZhigli?avskii?$b A. A$g(Anatolii? Aleksandrovich),$0468354 702 $aZhilinskas$b A. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466545003316 996 $aBayesian and high-dimensional global optimization$91895697 997 $aUNISA