02726nam 2200577 450 991082431860332120230809234354.03-11-054504-73-11-054616-710.1515/9783110546163(CKB)4340000000203633(MiAaPQ)EBC5049528(DE-B1597)481254(OCoLC)1004866967(DE-B1597)9783110546163(Au-PeEL)EBL5049528(CaPaEBR)ebr11443173(CaONFJC)MIL1036853(OCoLC)1004539150(EXLCZ)99434000000020363320171016h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierFree boundaries in rock mechanics /Anvarbek Meirmanov, Oleg V. Galtsev, Reshat N. ZiminBerlin, [Germany] ;Boston, [Massachusetts] :De Gruyter,2017.©20171 online resource (212 pages) illustrationsDe Gruyter Series in Applied and Numerical Mathematics,2512-1820 ;Volume 13-11-054490-3 Includes bibliographical references and index.Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. The Hele-Shaw problem -- 3. A joint motion of two immiscible viscous fluids -- 4. Mathematical models of in-situ leaching -- 5. Dynamics of cracks in rocks -- A. Elements of continuum mechanics -- References -- IndexThis monograph is concerned with free-boundary problems of partial differential equations arising in the physical sciences and in engineering. The existence and uniqueness of solutions to the Hele-Shaw problem are derived and techniques to deal with the Muskat problem are discussed. Based on these, mathematical models for the dynamics of cracks in underground rocks and in-situ leaching are developed. ContentsIntroductionThe Hele-Shaw problemA joint motion of two immiscible viscous fluidsMathematical models of in-situ leachingDynamics of cracks in rocksElements of continuum mechanics De Gruyter series in discrete mathematics and applications ;Volume 1.Boundary value problemsRock mechanicsBoundary value problems.Rock mechanics.552/.06Meĭrmanov A. M(Anvarbek Mukatovich),42636Galtsev Oleg VladimirovichZimin Reshat NarimanovichMiAaPQMiAaPQMiAaPQBOOK9910824318603321Free boundaries in rock mechanics3966213UNINA00876nam0-2200289 --450 991087139790332120240717161949.020240717d kmuy0itay5050 baitaITa 001yyTrattato di enologiaenciclopedia viti-vinicola modernaPier Giovanni GaroglioFirenzeIl progresso vinicolo ed oleario5 volumiill.24 cmEnologia663.223itaGaroglio,Pier Giovanni70904ITUNINAREICATUNIMARCBK9910871397903321A MIC 2863-19935/2024FAGBCA MIC 2863-29936/2024FAGBCA MIC 2863-49937/2024FAGBCA MIC 2863-59938/2024FAGBCFAGBCTrattato di enologia4173680UNINA03871nam 2200913z- 450 991055761030332120220321(CKB)5400000000045299(oapen)https://directory.doabooks.org/handle/20.500.12854/79633(oapen)doab79633(EXLCZ)99540000000004529920202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational Optimizations for Machine LearningBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (276 p.)3-0365-3186-6 3-0365-3187-4 The present book contains the 10 articles finally accepted for publication in the Special Issue "Computational Optimizations for Machine Learning" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. These topics include, among others, various types of machine learning classes, such as supervised, unsupervised and reinforcement learning, deep neural networks, convolutional neural networks, GANs, decision trees, linear regression, SVM, K-means clustering, Q-learning, temporal difference, deep adversarial networks and more. It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity.Mathematics & sciencebicsscResearch & information: generalbicsscARIMA modelartificial intelligenceautoencodersbed roughnessbio-inspired algorithmsCNN architecturecomputational intelligenceconvolutional neural networkdeep compressiondeep learningdeep neural networksDNNenergy dissipationevolution of weightsevolutionary algorithmsevolutionary computationfeature selectionfloating-point numbersFLOW-3Dgeneralization errorgenetic algorithmshardware accelerationHeating, Ventilation and Air Conditioning (HVAC)hydraulic jumpslow powermachine learningmeta-heuristic optimizationmetaheuristics searchmodel predictive controlmulti-objective optimizationnature inspired algorithmsneural networksnonlinear systemsonline model selectiononline optimizationprecipitation nowcastingquantizationradar datarecurrent neural networksReLUsensitivity analysissmart buildingsoft computingswarm intelligencetime series analysistrainingMathematics & scienceResearch & information: generalGabbay Freddyedt1304465Gabbay FreddyothBOOK9910557610303321Computational Optimizations for Machine Learning3027447UNINA