Numerical Methods Using Kotlin

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Numerical Methods Using Kotlin
Περιγραφή: This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you'll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.
Συγγραφείς: Haksun Li, PhD
Resource Type: eBook.
Θέματα: Numerical analysis--Data processing
Categories: COMPUTERS / Languages / General, COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Languages / Java
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 3514400
RelevancyScore: 969
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 968.509704589844
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Numerical Methods Using Kotlin
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you'll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Haksun+Li%2C+PhD%22">Haksun Li, PhD</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Numerical+analysis--Data+processing%22">Numerical analysis--Data processing</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+General%22">COMPUTERS / Languages / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+General%22">COMPUTERS / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Database+Administration+%26+Management%22">COMPUTERS / Database Administration & Management</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+Java%22">COMPUTERS / Languages / Java</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3514400
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 518.028553
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Numerical analysis--Data processing
        Type: general
    Titles:
      – TitleFull: Numerical Methods Using Kotlin
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Haksun Li, PhD
      – PersonEntity:
          Name:
            NameFull: Haksun Li, PhD
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 02
              M: 01
              Type: profile
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9781484288252
            – Type: isbn-electronic
              Value: 9781484288269
          Titles:
            – TitleFull: Numerical Methods Using Kotlin
              Type: main
ResultId 1