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Numerical Methods Using Java = For Data Science, Analysis, and Engineering /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Numerical Methods Using Java/ by Haksun Li, PhD.
Reminder of title:	For Data Science, Analysis, and Engineering /
Author:	Li, PhD, Haksun.
Description:	XIV, 1186 p. 342 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Programming languages (Electronic computers). -
Online resource:	https://doi.org/10.1007/978-1-4842-6797-4
ISBN:	9781484267974

Numerical Methods Using Java = For Data Science, Analysis, and Engineering /
Li, PhD, Haksun.

Numerical Methods Using JavaFor Data Science, Analysis, and Engineering /[electronic resource] :by Haksun Li, PhD. - 1st ed. 2022. - XIV, 1186 p. 342 illus.online resource.

1: Introduction to Numerical Methods in Java -- 2: Linear Algebra -- 3: Finding Roots of Equations -- 4: Finding Roots of Systems of Equations -- 5: Curve Fitting and Interpolation -- 6: Numerical Differentiation and Integration -- 7: Ordinary Differential Equations -- 8: Partial Differential Equations -- 9: Unconstrained Optimization -- 10: Constrained Optimization -- 11: Heuristics -- 12: Basic Statistics -- 13: Random Numbers and Simulation -- 14: Linear Regression -- 15: Time Series Analysis -- References.

Implement numerical algorithms in Java using the 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. You will: 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.

ISBN: 9781484267974

Standard No.: 10.1007/978-1-4842-6797-4doiSubjects--Topical Terms:

1127615
Programming languages (Electronic computers).

LC Class. No.: QA76.7-.73

Dewey Class. No.: 005.13

Numerical Methods Using Java = For Data Science, Analysis, and Engineering /
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520 $a Implement numerical algorithms in Java using the 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. You will: 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.
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