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Hands/On Simulation Modeling with Python
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EnhanceyoursimulationmodelingskillsbycreatingandanalyzingdigitalprototypesofaphysicalmodelusingPythonprogrammingwiththiscomprehensiveguideKeyFeatures.Learntocreateadigitalprototypeofarealmodelusinghands-onexamples.Evaluatetheperformanceandoutputofyourprototypeusingsimulationmodelingtechniques.UnderstandvariousstatisticalandphysicalsimulationstoimprovesystemsusingPythonBookDescriptionSimulationmodelinghelpsyoutocreatedigitalprototypesofphysicalmodelstoanalyzehowtheyworkandpredicttheirperformanceintherealworld.Withthiscomprehensiveguide,you'llunderstandvariouscomputationalstatisticalsimulationsusingPython.Startingwiththefundamentalsofsimulationmodeling,you'llunderstandconceptssuchasrandomnessandexploredatageneratingprocesses,resamplingmethods,andbootstrappingtechniques.You'llthencoverkeyalgorithmssuchasMonteCarlosimulationsandMarkovdecisionprocesses,whichareusedtodevelopnumericalsimulationmodels,anddiscoverhowtheycanbeusedtosolvereal-worldproblems.Asyouadvance,you'lldevelopsimulationmodelstohelpyougetaccurateresultsandenhancedecision-makingprocesses.Usingoptimizationtechniques,you'lllearntomodifytheperformanceofamodeltoimproveresultsandmakeoptimaluseofresources.Thebookwillguideyouincreatingadigitalprototypeusingpracticalusecasesforfinancialengineering,prototypingprojectmanagementtoimproveplanning,andsimulatingphysicalphenomenausingneuralnetworks.Bytheendofthisbook,you'llhavelearnedhowtoconstructanddeploysimulationmodelsofyourowntoovercomereal-worldchallenges.Whatyouwilllearn.Gainanoverviewofthedifferenttypesofsimulationmodels.Gettogripswiththeconceptsofrandomnessanddatagenerationprocess.Understandhowtoworkwithdiscreteandcontinuousdistributions.WorkwithMonteCarlosimulationstocalculateadefiniteintegral.FindouthowtosimulaterandomwalksusingMarkovchains.Obtainrobustestimatesofconfidenceintervalsandstandarderrorsofpopulationparameters.Discoverhowtouseoptimizationmethodsinreal-lifeapplications.Runefficientsimulationstoanalyzereal-worldsystemsWhothisbookisforHands-OnSimulationModelingwithPythonisforsimulationdevelopersandengineers,modeldesigners,andanyonealreadyfamiliarwiththebasiccomputationalmethodsthatareusedtostudythebehaviorofsystems.ThisbookwillhelpyouexploreadvancedsimulationtechniquessuchasMonteCarlomethods,statisticalsimulations,andmuchmoreusingPython.WorkingknowledgeofPythonprogramminglanguageisrequired.

Giuseppe Ciaburro ·專用軟件 ·8.2萬字

RAW攝影后期從入門到精通:Photoshop+Lightroom雙修精解
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本書從RAW格式的基本概念入手,從寬容度、色彩深度、無損處理、兼容性、軟件功能限制、降噪處理、照片大小、調(diào)整范圍及物理屬性等角度,深入剖析了RAW格式的特點。然后以60個照片處理案例為引導(dǎo),以CameraRaw軟件為主,全面、詳細地講解了CanonDigitalPhotoProfessional、Nikon捕影工匠、AdobeLightroom及CaptureOne等軟件的基礎(chǔ)知識與使用技巧,力求讓讀者對這些常用軟件有一個透徹、全面的掌握,對軟件的使用不再感到困惑,從而將更多精力放在對照片的美化與調(diào)修工作上。本書本著將理論與實踐相結(jié)合的編寫思路,除了詳細講解案例的具體操作方法與技巧外,還著重分析了執(zhí)行某個操作的目的、操作后照片還存在哪些問題、如何解決這些問題、哪些問題需要先處理以及哪些問題可以放在后面處理等,從而讓讀者真正將每個案例“學(xué)透”,掌握其精髓,以應(yīng)對各種不同的后期處理需求。本書不僅適合攝影愛好者、美工、網(wǎng)店店主、平面設(shè)計師、網(wǎng)拍達人和圖形圖像處理愛好者閱讀,也可作為社會培訓(xùn)學(xué)校、大中專院校相關(guān)專業(yè)的教學(xué)參考書或上機實踐指導(dǎo)用書。

劉錦編著 ·專用軟件 ·7.4萬字

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