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Numerical Analysis and Scientific Calculation Considering the Management Mechanism of College Students’ Innovation and Entrepreneurship Education
Purpose. This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific com...
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Published in: | Mathematical problems in engineering 2022-07, Vol.2022, p.1-14 |
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description | Purpose. This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific computing. This problem is based on cloud computing, so it elaborates on the concepts and related algorithms of cloud computing and big data and designs and analyzes cases of numerical analysis and scientific computing of educational management mechanisms. Research Findings. Through the research of different kernel functions, the IG_CDmRMR algorithm can obtain relatively high accuracy results for numerical analysis and scientific computing. The IG_CDmRMR algorithm is the closest to expert evaluation. The maximum difference is 0.002, which is consistent in sample three. The maximum difference of the IG algorithm is 0.005, and the minimum difference is 0.002. The evaluation effect of the IG_CDmRMR algorithm is closer to the evaluation effect of experts. Practical Implications. It analyzes the numerical value of the education management mechanism and finds that the accuracy has a certain height. This has certain evaluation significance for the management mechanism of college students’ innovation and entrepreneurship education. |
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This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific computing. This problem is based on cloud computing, so it elaborates on the concepts and related algorithms of cloud computing and big data and designs and analyzes cases of numerical analysis and scientific computing of educational management mechanisms. Research Findings. Through the research of different kernel functions, the IG_CDmRMR algorithm can obtain relatively high accuracy results for numerical analysis and scientific computing. The IG_CDmRMR algorithm is the closest to expert evaluation. The maximum difference is 0.002, which is consistent in sample three. The maximum difference of the IG algorithm is 0.005, and the minimum difference is 0.002. The evaluation effect of the IG_CDmRMR algorithm is closer to the evaluation effect of experts. Practical Implications. It analyzes the numerical value of the education management mechanism and finds that the accuracy has a certain height. This has certain evaluation significance for the management mechanism of college students’ innovation and entrepreneurship education.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2022/9928706</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Accuracy ; Algorithms ; Big Data ; Classification ; Cloud computing ; College students ; Colleges & universities ; Computers ; Data analysis ; Data processing ; Education ; Education reform ; Employment ; Entrepreneurs ; Entrepreneurship ; Entrepreneurship education ; Higher education ; Innovations ; Internet ; Kernel functions ; Numerical analysis ; Schools ; Severe acute respiratory syndrome coronavirus 2 ; Software ; Students ; Utility computing</subject><ispartof>Mathematical problems in engineering, 2022-07, Vol.2022, p.1-14</ispartof><rights>Copyright © 2022 Sheng Wang.</rights><rights>Copyright © 2022 Sheng Wang. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-160004c01b5e5eff876928b6ab16f6f9ab405f5339c9ec8c807aacbc0a9ed5e53</cites><orcidid>0000-0002-6982-0846</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2690829711/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2690829711?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,38516,43895,44590,74412,75126</link.rule.ids></links><search><contributor>Jiang, Xiantao</contributor><contributor>Xiantao Jiang</contributor><creatorcontrib>Wang, Sheng</creatorcontrib><title>Numerical Analysis and Scientific Calculation Considering the Management Mechanism of College Students’ Innovation and Entrepreneurship Education</title><title>Mathematical problems in engineering</title><description>Purpose. This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific computing. This problem is based on cloud computing, so it elaborates on the concepts and related algorithms of cloud computing and big data and designs and analyzes cases of numerical analysis and scientific computing of educational management mechanisms. Research Findings. Through the research of different kernel functions, the IG_CDmRMR algorithm can obtain relatively high accuracy results for numerical analysis and scientific computing. The IG_CDmRMR algorithm is the closest to expert evaluation. The maximum difference is 0.002, which is consistent in sample three. The maximum difference of the IG algorithm is 0.005, and the minimum difference is 0.002. The evaluation effect of the IG_CDmRMR algorithm is closer to the evaluation effect of experts. Practical Implications. It analyzes the numerical value of the education management mechanism and finds that the accuracy has a certain height. This has certain evaluation significance for the management mechanism of college students’ innovation and entrepreneurship education.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Big Data</subject><subject>Classification</subject><subject>Cloud computing</subject><subject>College students</subject><subject>Colleges & universities</subject><subject>Computers</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Education</subject><subject>Education reform</subject><subject>Employment</subject><subject>Entrepreneurs</subject><subject>Entrepreneurship</subject><subject>Entrepreneurship education</subject><subject>Higher education</subject><subject>Innovations</subject><subject>Internet</subject><subject>Kernel functions</subject><subject>Numerical analysis</subject><subject>Schools</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Software</subject><subject>Students</subject><subject>Utility 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This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific computing. This problem is based on cloud computing, so it elaborates on the concepts and related algorithms of cloud computing and big data and designs and analyzes cases of numerical analysis and scientific computing of educational management mechanisms. Research Findings. Through the research of different kernel functions, the IG_CDmRMR algorithm can obtain relatively high accuracy results for numerical analysis and scientific computing. The IG_CDmRMR algorithm is the closest to expert evaluation. The maximum difference is 0.002, which is consistent in sample three. The maximum difference of the IG algorithm is 0.005, and the minimum difference is 0.002. The evaluation effect of the IG_CDmRMR algorithm is closer to the evaluation effect of experts. Practical Implications. It analyzes the numerical value of the education management mechanism and finds that the accuracy has a certain height. This has certain evaluation significance for the management mechanism of college students’ innovation and entrepreneurship education.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2022/9928706</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-6982-0846</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Algorithms Big Data Classification Cloud computing College students Colleges & universities Computers Data analysis Data processing Education Education reform Employment Entrepreneurs Entrepreneurship Entrepreneurship education Higher education Innovations Internet Kernel functions Numerical analysis Schools Severe acute respiratory syndrome coronavirus 2 Software Students Utility computing |
title | Numerical Analysis and Scientific Calculation Considering the Management Mechanism of College Students’ Innovation and Entrepreneurship Education |
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