Numerical Methods Using Java - For Data Science, Analysis, and Engineering
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. This book covers a wide range of to...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Haksun Li, PhD |
description | 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. This book 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. |
doi_str_mv | 10.1007/978-1-4842-6797-4 |
format | Book |
fullrecord | <record><control><sourceid>proquest_skill</sourceid><recordid>TN_cdi_skillsoft_books24x7_bks000159452</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6838759</sourcerecordid><originalsourceid>FETCH-LOGICAL-a24612-29511976e65393858643b5690bf4334f294a65ee97164e44b2f4c900b9e20d383</originalsourceid><addsrcrecordid>eNplkU9v1DAQxY0QCLrsB0Di4AMIITXU47_xsWx3gVVbDqVcLSc72Ya4yRKnW_rtcXZz42TZ7zdvZp4JeQvsMzBmzqzJM8hkLnmmjTWZfEbm6Q0UF6CYseI5OYFRTqrWL9OFWxCQg5WvyDzG34wxbriyQrwm6-uHe-zr0gd6hcNdt4n0Ntbtlq793tOMrrqeXvjB05uyxrbEU3re-vAU63hKfbuhy3Zbt5gc2u0b8qLyIeJ8Omfk12r5c_Etu_zx9fvi_DLzXGrgGbcKwBqNWgkrcpVrKQqlLSsqKYSsuJVeK0RrQEuUsuCVLC1jhUXONiIXM_LxaBybOoTYVYMruq6JXP41rmhi2g-UlSmPGfl0JH1s8DHedWGIbh_wgLsxtCknIxN7Nrnuxm2wP5o6YG6MfaQduJF3Y4EbK95PFb7yfT3xe_6f8TTuru_-PGAc3KF_ie3Q--CWXxY6F7lJ_zEj7yYS-4DbbnKUCiSASPKHo9y03R6DS3Pe-_7pQLlmd311u15d3CjxD8cam7o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC6838759</pqid></control><display><type>book</type><title>Numerical Methods Using Java - For Data Science, Analysis, and Engineering</title><source>O'Reilly Online Learning: Academic/Public Library Edition</source><creator>Haksun Li, PhD</creator><creatorcontrib>Haksun Li, PhD</creatorcontrib><description>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. This book 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.</description><edition>1</edition><identifier>ISBN: 1484267966</identifier><identifier>ISBN: 9781484267967</identifier><identifier>ISBN: 9781484267974</identifier><identifier>ISBN: 1484267974</identifier><identifier>EISBN: 9781523150793</identifier><identifier>EISBN: 1523150793</identifier><identifier>EISBN: 9781484267974</identifier><identifier>EISBN: 1484267974</identifier><identifier>DOI: 10.1007/978-1-4842-6797-4</identifier><identifier>OCLC: 1291318194</identifier><identifier>LCCallNum: T58.5 .L5 2022</identifier><language>eng</language><publisher>Berkeley, CA: Apress, an imprint of Springer Nature</publisher><subject>Big Data ; Computer algorithms ; Computer Science ; COMPUTERS ; General Engineering & Project Administration ; General References ; Information technology ; Java (Computer program language) ; Professional and Applied Computing ; Professional Computing ; Programming (Mathematics) ; Programming Languages ; Software Engineering</subject><creationdate>2022</creationdate><tpages>1196</tpages><format>1196</format><rights>2022</rights><rights>Haksun Li, PhD 2022</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://content.knovel.com/content/Thumbs/thumb14858.gif</thumbnail><link.rule.ids>306,780,784,786,24762,27925</link.rule.ids></links><search><creatorcontrib>Haksun Li, PhD</creatorcontrib><title>Numerical Methods Using Java - For Data Science, Analysis, and Engineering</title><description>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. This book 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.</description><subject>Big Data</subject><subject>Computer algorithms</subject><subject>Computer Science</subject><subject>COMPUTERS</subject><subject>General Engineering & Project Administration</subject><subject>General References</subject><subject>Information technology</subject><subject>Java (Computer program language)</subject><subject>Professional and Applied Computing</subject><subject>Professional Computing</subject><subject>Programming (Mathematics)</subject><subject>Programming Languages</subject><subject>Software Engineering</subject><isbn>1484267966</isbn><isbn>9781484267967</isbn><isbn>9781484267974</isbn><isbn>1484267974</isbn><isbn>9781523150793</isbn><isbn>1523150793</isbn><isbn>9781484267974</isbn><isbn>1484267974</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2022</creationdate><recordtype>book</recordtype><sourceid>OODEK</sourceid><recordid>eNplkU9v1DAQxY0QCLrsB0Di4AMIITXU47_xsWx3gVVbDqVcLSc72Ya4yRKnW_rtcXZz42TZ7zdvZp4JeQvsMzBmzqzJM8hkLnmmjTWZfEbm6Q0UF6CYseI5OYFRTqrWL9OFWxCQg5WvyDzG34wxbriyQrwm6-uHe-zr0gd6hcNdt4n0Ntbtlq793tOMrrqeXvjB05uyxrbEU3re-vAU63hKfbuhy3Zbt5gc2u0b8qLyIeJ8Omfk12r5c_Etu_zx9fvi_DLzXGrgGbcKwBqNWgkrcpVrKQqlLSsqKYSsuJVeK0RrQEuUsuCVLC1jhUXONiIXM_LxaBybOoTYVYMruq6JXP41rmhi2g-UlSmPGfl0JH1s8DHedWGIbh_wgLsxtCknIxN7Nrnuxm2wP5o6YG6MfaQduJF3Y4EbK95PFb7yfT3xe_6f8TTuru_-PGAc3KF_ie3Q--CWXxY6F7lJ_zEj7yYS-4DbbnKUCiSASPKHo9y03R6DS3Pe-_7pQLlmd311u15d3CjxD8cam7o</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Haksun Li, PhD</creator><general>Apress, an imprint of Springer Nature</general><general>Apress</general><general>Apress L. P</general><scope>YSPEL</scope><scope>OHILO</scope><scope>OODEK</scope></search><sort><creationdate>2022</creationdate><title>Numerical Methods Using Java - For Data Science, Analysis, and Engineering</title><author>Haksun Li, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a24612-29511976e65393858643b5690bf4334f294a65ee97164e44b2f4c900b9e20d383</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Big Data</topic><topic>Computer algorithms</topic><topic>Computer Science</topic><topic>COMPUTERS</topic><topic>General Engineering & Project Administration</topic><topic>General References</topic><topic>Information technology</topic><topic>Java (Computer program language)</topic><topic>Professional and Applied Computing</topic><topic>Professional Computing</topic><topic>Programming (Mathematics)</topic><topic>Programming Languages</topic><topic>Software Engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Haksun Li, PhD</creatorcontrib><collection>Perlego</collection><collection>O'Reilly Online Learning: Corporate Edition</collection><collection>O'Reilly Online Learning: Academic/Public Library Edition</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haksun Li, PhD</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Numerical Methods Using Java - For Data Science, Analysis, and Engineering</btitle><date>2022</date><risdate>2022</risdate><isbn>1484267966</isbn><isbn>9781484267967</isbn><isbn>9781484267974</isbn><isbn>1484267974</isbn><eisbn>9781523150793</eisbn><eisbn>1523150793</eisbn><eisbn>9781484267974</eisbn><eisbn>1484267974</eisbn><abstract>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. This book 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.</abstract><cop>Berkeley, CA</cop><pub>Apress, an imprint of Springer Nature</pub><doi>10.1007/978-1-4842-6797-4</doi><oclcid>1291318194</oclcid><tpages>1196</tpages><edition>1</edition></addata></record> |
fulltext | fulltext |
identifier | ISBN: 1484267966 |
ispartof | |
issn | |
language | eng |
recordid | cdi_skillsoft_books24x7_bks000159452 |
source | O'Reilly Online Learning: Academic/Public Library Edition |
subjects | Big Data Computer algorithms Computer Science COMPUTERS General Engineering & Project Administration General References Information technology Java (Computer program language) Professional and Applied Computing Professional Computing Programming (Mathematics) Programming Languages Software Engineering |
title | Numerical Methods Using Java - For Data Science, Analysis, and Engineering |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T12%3A54%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_skill&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Numerical%20Methods%20Using%20Java%20-%20For%20Data%20Science,%20Analysis,%20and%20Engineering&rft.au=Haksun%20Li,%20PhD&rft.date=2022&rft.isbn=1484267966&rft.isbn_list=9781484267967&rft.isbn_list=9781484267974&rft.isbn_list=1484267974&rft_id=info:doi/10.1007/978-1-4842-6797-4&rft_dat=%3Cproquest_skill%3EEBC6838759%3C/proquest_skill%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781523150793&rft.eisbn_list=1523150793&rft.eisbn_list=9781484267974&rft.eisbn_list=1484267974&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC6838759&rft_id=info:pmid/&rfr_iscdi=true |