000			a
999			_c31013 _d31013
008			220607b xxu||||| |||| 00| 0 eng d
020			_a9781484267967
082			_a005.133 _bLIH
100			_aLi, Haksun
245			_aNumerical methods using Java : for data science, analysis, and engineering
260			_bAPress, _c2022 _aNew York :
300			_axiv, 1186 p. ; _bill., _c26 cm
365			_b37.99 _cEUR _d86.00
504			_aIncludes bibliographical references and index.
520			_aImplement 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.
650			_aComputer program language
650			_aElectronic computers
650			_aData Science
650			_aJava
650			_aProgramming Mathematics
650			_aLinear algebra
650			_aRoot finding
650			_aCurve fitting
650			_aDiffentiation, integration
650			_aRandom numbers,simulation
650			_a Regression
650			_aSeries analysis
650			_a Beta distribution
650			_aBrent's method
650			_aCentral difference method
650			_aDiscrete probability- distribution
650			_a Discrete-time Markov Chain (DTMC)
650			_aBuler's method
650			_aGaussian distribution
650			_aHalley's methd
650			_a Hypothesis testing
650			_aJacobian matrix
650			_aKolmogorov-Smirnov test
650			_aMultivariate real-valued function
650			_aNewton-Raphson method
650			_a Ordinary differential equation (ODE)
650			_aPolitis-White- Patton method
650			_a Taylor expansion
650			_aVan der Waerden test
650			_aVARIMA model
942			_2ddc _cBK