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Numerical Methods Using Java
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Numerical Methods Using Java : For Data Science, Analysis, and Engineering

1st ed.

Book Details

Format Paperback / Softback
ISBN-10 1484267966
ISBN-13 9781484267967
Edition 1st ed.
Publisher APress
Imprint APress
Country of Manufacture US
Country of Publication GB
Publication Date Jan 6th, 2022
Print length 1186 Pages
Ksh 9,000.00
Werezi Extended Catalogue 0 in stock

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Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes. Numerical Methods Using Java 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. What You Will LearnProgram in Java using a high-performance numerical libraryLearn the mathematics for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionBuild solvers for industrial optimization problemsDo data analysis using basic and advanced statisticsWho This Book Is For  Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java. 

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes.

Numerical Methods Using Java 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. 

What You Will Learn

  • Program in Java using a high-performance numerical library
  • Learn the mathematics for a wide range of numerical computing algorithms
  • Convert ideas and equations into code
  • Put together algorithms and classes to build your own engineering solution
  • Build solvers for industrial optimization problems
  • Do data analysis using basic and advanced statistics
Who This Book Is For 

Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java. 


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