國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Numerical Methods Using Java/ by Haksun Li, PhD.
其他題名:	For Data Science, Analysis, and Engineering /
作者:	Li, PhD, Haksun.
面頁冊數:	XIV, 1186 p. 342 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	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:

1017136
Big Data.

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

Dewey Class. No.: 005.13

Numerical Methods Using Java = For Data Science, Analysis, and Engineering /
LDR:02998nam a22003975i 4500 001 1093318
003 DE-He213
005 20220512152828.0
007 cr nn 008mamaa
008 221228s2022 xxu| s |||| 0|eng d
020 $a 9781484267974 $9 978-1-4842-6797-4
024 7 $a 10.1007/978-1-4842-6797-4 $2 doi
035 $a 978-1-4842-6797-4
050 4 $a QA76.7-.73
072 7 $a UMX $2 bicssc
072 7 $a COM000000 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.13 $2 23
100 1 $a Li, PhD, Haksun. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1401255
245 1 0 $a Numerical Methods Using Java $h [electronic resource] : $b For Data Science, Analysis, and Engineering / $c by Haksun Li, PhD.
250 $a 1st ed. 2022.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a XIV, 1186 p. 342 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
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.
650 2 4 $a Big Data. $3 1017136
650 1 4 $a Programming Language. $3 1365750
650 0 $a Big data. $3 981821
650 0 $a Programming languages (Electronic computers). $3 1127615
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484267967
776 0 8 $i Printed edition: $z 9781484267981
776 0 8 $i Printed edition: $z 9781484285275
856 4 0 $u https://doi.org/10.1007/978-1-4842-6797-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)