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