Theultra-compactbiosensorbasedonthetwo-dimensional(2D)photoniccrystal(PhC)microcavityisinvestigated.TheperformancesofthesensorareanalyzedtheoreticallyusingtheFabry-Perot(F-P)cavitymodelandsimulatedusingthefinite-differencetime-domain(FDTD)method.Thesimulationres

Thishands-onguidecutsshortthepreambleandgetsstraighttothepoint–actuallycreatinggraphics,insteadofjusttheoreticallearning.Eachrecipeisspecificallytailoredtosatisfyyourappetiteforproducingreal-time3-DgraphicsusingGLSL4.0.IfyouareanOpenGLprogrammerlookingtousethemodernfeaturesofGLSL4.0tocreatereal-time,three-dimensionalgraphics,thenthisbookisforyou.FamiliaritywithOpenGLprogramming,alongwiththetypical3Dcoordinatesystems,projections,andtransformationsisassumed.ItcanalsobeusefulforexperiencedGLSLprogrammerswhoarelookingtoimplementthetechniquesthatarepresentedhere.

理论机器学习的解答

Theavailabilityoflargedatasetshasallowedresearcherstouncovercomplexpropertiessuchaslarge-scalefluctuationsandheterogeneitiesinmanynetworks,leadingtothebreakdownofstandardtheoreticalframeworksandmodels.Untilrecentlythesesystemswereconsideredashaphazardsetsofpointsandconnections.Recentadvanceshavegeneratedavigorousresearcheffortinunderstandingtheeffectofcomplexconnectivitypatternsondynamicalphenomena.Thisbookpresentsacomprehensiveaccountoftheseeffects.Avastnumberofsystems,fromthebraintoecosystems,powergridsandtheInternet,canberepresentedaslargecomplexnetworks.Thisbookwillinterestgraduatestudentsandresearchersinmanydisciplines,fromphysicsandstatisticalmechanics,tomathematicalbiologyandinformationscience.Itsmodularapproachallowsreaderstoreadilyaccessthesectionsofmostinteresttothem,andcomplicatedmathsisavoidedsothetextcanbeeasilyfollowedbynon-expertsinthesubject.

OptimalEstimationofDynamicSystems,SecondEditionhighlightstheimportanceofbothphysicalandnumericalmodelinginsolvingdynamics-basedestimationproblemsfoundinengineeringsystems.Accessibletoengineeringstudents,appliedmathematicians,andpracticingengineers,thetextpresentsthecentralconceptsandmethodsofoptimalestimationtheoryandappliesthemethodstoproblemswithvaryingdegreesofanalyticalandnumericaldifficulty.Differentapproachesareoftencomparedtoshowtheirabsoluteandrelativeutility.Theauthorsalsoofferprototypealgorithmstostimulatethedevelopmentandproperuseofefficientcomputerprograms.MATLAB(R)codesfortheexamplesareavailableonthebook'swebsite.NewtotheSecondEditionWithmorethan100pagesofnewmaterial,thisreorganizededitionexpandsuponthebest-sellingoriginaltoincludecomprehensivedevelopmentsandupdates.Itincorporatesnewtheoreticalresults,anentirelynewchapteronadvancedsequentialstateestimation,andadditionalexamplesandexercises.Anidealself-studyguideforpracticingengineersaswellasseniorundergraduateandbeginninggraduatestudents,thebookintroducesthefundamentalsofestimationandhelpsnewcomerstounderstandtherelationshipsbetweentheestimationandmodelingofdynamicalsystems.Italsoillustratestheapplicationofthetheorytoreal-worldsituations,suchasspacecraftattitudedetermination,GPSnavigation,orbitdetermination,andaircrafttracking.

[此书为滑模控制国外经典教材，《SlidingModeControl:Theoryandapplication》，作者CEdwards,SSpurgeon]Intheformationofanycontrolproblemtherewillbediscrepanciesbetweentheactualplantandthemathematicalmodelforcontrollerdesign.Slidingmodecontroltheoryseekstoproducecontrollerstooversomesuchmismatches.Thistextprovidesthereaderwithagroundinginslidingmodecontrolandisappropriateforthegraduatewithabasicknowledgeofclassicalcontroltheoryandsomeknowledgeofstate-spacemethods.Fromthisbasis,moreadvancedtheoreticalresultsaredeveloped.Twoindustrialcasestudies,whichpresenttheresultsofslidingmodecontrollerimplementations,areusedtoillustratethesuccessfulpracticalapplicationtheory.

SpikingNeuronModels:Neuronsinthebraincommunicatebyshortelectricalpulses,theso-calledactionpotentialsorspikes.Howcanweunderstandtheprocessofspikegeneration?Howcanweunderstandinformationtransmissionbyneurons?Whathappensifthousandsofneuronsarecoupledtogetherinaseeminglyrandomnetwork?Howdoesthenetworkconnectivitydeterminetheactivitypatterns?And,viceversa,howdoesthespikeactivityinfluencetheconnectivitypattern?Thesequestionsareaddressedinthisintroductorytextaimedatthosetakingcoursesincomputationalneuroscience,theoreticalbiology,neuronalmodeling,biophysics,orneuralnetworks.Theauthorsfocusonphenomenologicalapproachessothatbeginnerscangettogripswiththetheoreticalconceptsbeforeconfrontingthewealthofdetailinbiologicalsystems.ThebookisinthreePartsdealing,inorder,withneuronsandconnections,collectivebehaviorinnetworks,andsynapticplasticityanditsroleinlearning,memory,anddevelopment.Eachchapterendswithaliteraturesurvey,andacomprehensivebibliographyisincluded.Assuchthebookwillalsointroducereaderstocurrentresearch.

理论机器学习的解答

Thistextbookintroducessparseandredundantrepresentationswithafocusonapplicationsinsignalandimageprocessing.Thetheoreticalandnumericalfoundationsaretackledbeforetheapplicationsarediscussed.Mathematicalmodelingforsignalsourcesisdiscussedalongwithhowtousethepropermodelfortaskssuchasdenoising,restoration,separation,interpolationandextrapolation,compression,sampling,analysisandsynthesis,detection,recognition,andmore.Thepresentationiselegantandengaging.SparseandRedundantRepresentationsisintendedforgraduatestudentsinappliedmathematicsandelectricalengineering,aswellasappliedmathematicians,engineers,andresearcherswhoareactiveinthefieldsofsignalandimageprocessing.*Introducestheoreticalandnumericalfoundationsbeforetacklingapplications*Discusseshowtousethepropermodelforvarioussituations*Introducessparseandredundantrepresentations*FocusesonapplicationsinsignalandimageprocessingThefieldofsparseandredundantrepresentationmodelinghasgonethroughamajorrevolutioninthepasttwodecades.Thisstartedwithaseriesofalgorithmsforapproximatingthesparsestsolutionsoflinearsystemsofequations,latertobefollowedbysurprisingtheoreticalresultsthatguaranteethesealgorithms’performance.Withthesecontributionsinplace,majorbarriersinmakingthismodelpracticalandapplicablewereremoved,andsparsityandredundancybecamecentral,leadingtostate-of-the-artresultsinvariousdisciplines.Oneofthemainbeneficiariesofthisprogressisthefieldofimageprocessing,wherethismodelhasbeenshowntoleadtounprecedentedperformanceinvariousapplications.Thisbookprovidesacomprehensiveviewofthetopicofsparseandredundantrepresentationmodeling,anditsuseinsignalandimageprocessing.Itoffersasystematicandorderedexposuretothetheoreticalfoundationsofthisdatamodel,thenumericalaspec

Atypesystemisasyntacticmethodforenforcinglevelsofabstractioninprograms.Thestudyoftypesystems--andofprogramminglanguagesfromatype-theoreticperspective--hasimportantapplicationsinsoftwareengineering,languagedesign,high-performancecompilers,andsecurity.Thistextprovidesacomprehensiveintroductionbothtotypesystemsincomputerscienceandtothebasictheoryofprogramminglanguages.Theapproachispragmaticandoperational;eachnewconceptismotivatedbyprogrammingexamplesandthemoretheoreticalsectionsaredrivenbytheneedsofimplementations.Eachchapterisaccompaniedbynumerousexercisesandsolutions,aswellasarunningimplementation.Dependenciesbetweenchaptersareexplicitlyidentified,allowingreaderstochooseavarietyofpathsthroughthematerial.Thecoretopicsincludetheuntypedlambda-calculus,simpletypesystems,typereconstruction,universalandexistentialpolymorphism,subtyping,boundedquantification,recursivetypes,kinds,andtypeoperators.Extendedcasestudiesdevelopavarietyofapproachestomodelingthefeaturesofobject-orientedlanguages.(Thefulltableofcontentsisavailablehere.)

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。