LEADER 06243nam 2201717 450 001 9910554222803321 005 20211112211252.0 010 $a0-691-22361-0 024 7 $a10.1515/9780691223612 035 $a(CKB)5600000000003032 035 $a(MiAaPQ)EBC6554383 035 $a(DE-B1597)582802 035 $a(OCoLC)1266228834 035 $a(DE-B1597)9780691223612 035 $a(PPN)258899115 035 $a(EXLCZ)995600000000003032 100 $a20211023h20212021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA brief welcome to the universe $ea pocket-sized tour /$fNeil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott 210 1$aPrinceton, New Jersey :$cPrinceton University Press,$d[2021] 210 4$dİ2021 215 $a1 online resource (247 pages) $cillustrations 311 1 $a0-691-21994-X 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tCONTENTS -- $tA Note to the Reader -- $t1 Size and Scale of the Universe -- $t2 Pluto's Place in the Solar System -- $t3 The Lives and Deaths of Stars -- $t4 The Search for Life in the Galaxy -- $t5 Our Milky Way and Its Supermassive Black Hole -- $t6 Galaxies, the Expanding Universe, and the Big Bang -- $t7 Inflation and the Multiverse -- $t8 Our Future in the Universe -- $tAcknowledgments -- $tIndex 330 $aA pocket-style edition distilled from the New York Times bestsellerAwaiting you in this breezy book is a whirlwind tour through the cosmos-a journey of exploration to other planets, stars, and galaxies, and from black holes to time loops. With acclaimed astrophysicists Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott at your side, here you will find a brief and yet breathtaking introduction to the universe, which will help you in your quest to understand how the cosmos actually works.A Brief Welcome to the Universe propels you from our home solar system to the outermost frontiers of space, building your cosmic insight and perspective through a marvelously entertaining narrative. How do stars live and die? What are the prospects of intelligent life elsewhere in the universe? How did the universe begin? Why is it expanding and accelerating in the process? Is our universe alone or part of an infinite multiverse? Exploring these and many other questions, this pocket-friendly book is your passport into the wonders of our evolving cosmos. 606 $aAstrophysics$vPopular works 606 $aCosmology$vPopular works 610 $aAccelerating expansion of the universe. 610 $aAccretion (astrophysics). 610 $aAlpha particle. 610 $aAndromeda Galaxy. 610 $aAngular diameter. 610 $aAstrobiology. 610 $aAstrophysics. 610 $aAtomic nucleus. 610 $aBarred spiral galaxy. 610 $aBig Bang. 610 $aCalculation. 610 $aChemical element. 610 $aChronology of the universe. 610 $aCircumference. 610 $aCopernican principle. 610 $aCosmic Background Explorer. 610 $aCosmic microwave background. 610 $aCosmic string. 610 $aCosmogony. 610 $aDark energy. 610 $aDe Sitter space. 610 $aDeuterium. 610 $aDimension. 610 $aEarth. 610 $aEinstein field equations. 610 $aElementary particle. 610 $aElliptic orbit. 610 $aEnergy density. 610 $aEvent horizon. 610 $aExoplanet. 610 $aExtraterrestrial life. 610 $aGalactic Center. 610 $aGalactic year. 610 $aGalaxy cluster. 610 $aGoogol. 610 $aGravitational wave. 610 $aGravity. 610 $aHawking radiation. 610 $aHubble Space Telescope. 610 $aHubble's law. 610 $aInflation (cosmology). 610 $aInterstellar medium. 610 $aIrregular galaxy. 610 $aJim Peebles. 610 $aJupiter. 610 $aKepler (spacecraft). 610 $aKuiper belt. 610 $aLight-year. 610 $aLongevity. 610 $aLuminosity. 610 $aMain sequence. 610 $aMeasurement. 610 $aMetric expansion of space. 610 $aMilky Way. 610 $aMolecule. 610 $aNeutron star. 610 $aNeutron. 610 $aNewton's law of universal gravitation. 610 $aNitrogen. 610 $aNuclear fusion. 610 $aNuclear reaction. 610 $aObservable universe. 610 $aOrion Nebula. 610 $aPhoton. 610 $aPhysicist. 610 $aPlanck (spacecraft). 610 $aPlanetary habitability. 610 $aPlanetary nebula. 610 $aPositron. 610 $aPrediction. 610 $aPressure. 610 $aQuantity. 610 $aQuantum tunnelling. 610 $aQuasar. 610 $aReal Humans. 610 $aRed giant. 610 $aResult. 610 $aSatellite galaxy. 610 $aSaturn. 610 $aShape of the universe. 610 $aSolar System. 610 $aSolar mass. 610 $aSpacecraft. 610 $aSpiral galaxy. 610 $aStar. 610 $aSupernova. 610 $aTemperature. 610 $aThe Astrophysical Journal. 610 $aThe Pluto Files. 610 $aThermal radiation. 610 $aUniverse Today. 610 $aUniverse. 610 $aUranus. 610 $aVacuum energy. 610 $aVacuum state. 610 $aWavelength. 610 $aWeakly interacting massive particles. 610 $aWelcome to the Universe. 610 $aWhite dwarf. 610 $aYear. 615 0$aAstrophysics 615 0$aCosmology 676 $a523.1 686 $aSCI005000$aSCI055000$2bisacsh 700 $aTyson$b Neil deGrasse$01165174 702 $aStrauss$b Michael Abram 702 $aGott$b J. Richard 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554222803321 996 $aA brief welcome to the universe$92818785 997 $aUNINA LEADER 05372nam 22007215 450 001 9910504285203321 005 20251113190253.0 010 $a981-16-4095-5 024 7 $a10.1007/978-981-16-4095-7 035 $a(CKB)5340000000068377 035 $aEBL6787726 035 $a(OCoLC)1313880904 035 $a(AU-PeEL)EBL6787726 035 $a(MiAaPQ)EBC6787726 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72797 035 $a(PPN)258302194 035 $a(ODN)ODN0010073849 035 $a(oapen)doab72797 035 $a(Au-PeEL)EBL6787726 035 $a(OCoLC)1314627511 035 $a(DE-He213)978-981-16-4095-7 035 $a(EXLCZ)995340000000068377 100 $a20211019d2022 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSublinear Computation Paradigm $eAlgorithmic Revolution in the Big Data Era /$fedited by Naoki Katoh, Yuya Higashikawa, Hiro Ito, Atsuki Nagao, Tetsuo Shibuya, Adnan Sljoka, Kazuyuki Tanaka, Yushi Uno 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (403 p.) 225 1 $aComputer Science Series 300 $aDescription based upon print version of record. 311 08$a981-16-4094-7 327 $aChapter 1: What is the Sublinear Computation Paradigm? -- Chapter 2: Property Testing on Graphs and Games -- Chapter 3: Constant-Time Algorithms for Continuous Optimization Problems -- Chapter 4: Oracle-based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs -- Chapter 5: Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networks -- Chapter 6: Sublinear Data Structure -- Chapter 7: Compression and Pattern Matching -- Chapter 8: Orthogonal Range Search Data Structures -- Chapter 9: Enhanced RAM Simulation in Succinct Space -- Chapter 10: Review of Sublinear Modeling in Markov Random Fields by Statistical-Mechanical Informatics and Statistical Machine Learning Theory -- Chapter 11: Empirical Bayes Method for Boltzmann Machines -- Chapter 12: Dynamical analysis of quantum annealing -- Chapter 13: Mean-field analysis of Sourlas codes with adiabatic reverse annealing -- Chapter 14: Rigidity theory for protein function analysis and structural accuracy validations -- Chapter 15: Optimization of Evacuating and Walking Home Routes from Osaka City with Big Road Network Data on Nankai Megathrust Earthquake -- Chapter 16: Stream-based Lossless Data Compression. 330 $aThis open access book gives an overview of cutting-edge work on a new paradigm called the ?sublinear computation paradigm,? which was proposed in the large multiyear academic research project ?Foundations of Innovative Algorithms for Big Data.? That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as ?fast,? but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms. 410 0$aComputer Science Series 606 $aComputer science 606 $aAlgorithms 606 $aTheory of Computation 606 $aAlgorithms 615 0$aComputer science. 615 0$aAlgorithms. 615 14$aTheory of Computation. 615 24$aAlgorithms. 676 $a004.0151 686 $aCOM051300$2bisacsh 700 $aKatoh$b Naoki$01238685 701 $aHigashikawa$b Yuya$01238686 701 $aIto$b Hiro$01238687 701 $aNagao$b Atsuki$01238688 701 $aShibuya$b Tetsuo$01238689 701 $aSljoka$b Adnan$01238690 701 $aTanaka$b Kazuyuki$01238691 701 $aUno$b Yu?shi$00 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910504285203321 996 $aSublinear Computation Paradigm$92874616 997 $aUNINA