WENO schemes using optimized third order fuzzy weight limiter functions
This work presents an improved version of non-linear weight limiters to obtain third order non-oscillatory WENO scheme. The construction of this modified weight limiter is based on fuzzy inference system, which is a knowledge based rule system. The linear combination of overlapped basis functions is...
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Veröffentlicht in: | Physica scripta 2024-05, Vol.99 (5), p.55238 |
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description | This work presents an improved version of non-linear weight limiters to obtain third order non-oscillatory WENO scheme. The construction of this modified weight limiter is based on fuzzy inference system, which is a knowledge based rule system. The linear combination of overlapped basis functions is used to achieve the optimized weight limiters by exploring the linguistics hedges operator on the basis functions. The WENO scheme using optimized weight limiter achieves third order of accuracy and gives higher resolution to discontinuities compared to other established third order WENO schemes. |
doi_str_mv | 10.1088/1402-4896/ad3adc |
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The construction of this modified weight limiter is based on fuzzy inference system, which is a knowledge based rule system. The linear combination of overlapped basis functions is used to achieve the optimized weight limiters by exploring the linguistics hedges operator on the basis functions. 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Scr</addtitle><description>This work presents an improved version of non-linear weight limiters to obtain third order non-oscillatory WENO scheme. The construction of this modified weight limiter is based on fuzzy inference system, which is a knowledge based rule system. The linear combination of overlapped basis functions is used to achieve the optimized weight limiters by exploring the linguistics hedges operator on the basis functions. The WENO scheme using optimized weight limiter achieves third order of accuracy and gives higher resolution to discontinuities compared to other established third order WENO schemes.</description><subject>basis function</subject><subject>finite difference schemes</subject><subject>fuzzy logic</subject><subject>hyperbolic conservation law</subject><subject>third order WENO reconstruction</subject><subject>weight limiter function</subject><issn>0031-8949</issn><issn>1402-4896</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1UEFOwzAQtBBIhMKdox9A6NpxnfiIqlKQKnoBcbRc22lcNXFkp0LN60kI4sZpd0Yzq51B6J7AI4GimBMGNGWF4HNlMmX0BUr-qEuUAGQkLQQT1-gmxgMA5ZSLBK0_V29bHHVlaxvxKbpmj33budr11uCucsFgH4wNuDz1_Rl_WbevOnwcBN0P2ejO-SbeoqtSHaO9-50z9PG8el--pJvt-nX5tEk1zbIu3XGbAzBBSC6I4dRkuRog5LsSuDZMlwwKKBfCFhSGlWhDhRowoVSBWWQzBNNdHXyMwZayDa5W4SwJyLEIOaaWY2o5FTFYHiaL8608-FNohgf_l38DiwRf2g</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Mishra, Prabhat</creator><creator>Dubey, Ritesh Kumar</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0009-0001-9539-3227</orcidid></search><sort><creationdate>20240501</creationdate><title>WENO schemes using optimized third order fuzzy weight limiter functions</title><author>Mishra, Prabhat ; Dubey, Ritesh Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c233t-b6e7004911791d62d37a04907bf06cd4cf4080f59e8204081cd29af59122a0d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>basis function</topic><topic>finite difference schemes</topic><topic>fuzzy logic</topic><topic>hyperbolic conservation law</topic><topic>third order WENO reconstruction</topic><topic>weight limiter function</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mishra, Prabhat</creatorcontrib><creatorcontrib>Dubey, Ritesh Kumar</creatorcontrib><collection>CrossRef</collection><jtitle>Physica scripta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mishra, Prabhat</au><au>Dubey, Ritesh Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>WENO schemes using optimized third order fuzzy weight limiter functions</atitle><jtitle>Physica scripta</jtitle><stitle>PS</stitle><addtitle>Phys. Scr</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>99</volume><issue>5</issue><spage>55238</spage><pages>55238-</pages><issn>0031-8949</issn><eissn>1402-4896</eissn><coden>PHSTBO</coden><abstract>This work presents an improved version of non-linear weight limiters to obtain third order non-oscillatory WENO scheme. The construction of this modified weight limiter is based on fuzzy inference system, which is a knowledge based rule system. The linear combination of overlapped basis functions is used to achieve the optimized weight limiters by exploring the linguistics hedges operator on the basis functions. The WENO scheme using optimized weight limiter achieves third order of accuracy and gives higher resolution to discontinuities compared to other established third order WENO schemes.</abstract><pub>IOP Publishing</pub><doi>10.1088/1402-4896/ad3adc</doi><tpages>17</tpages><orcidid>https://orcid.org/0009-0001-9539-3227</orcidid></addata></record> |
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subjects | basis function finite difference schemes fuzzy logic hyperbolic conservation law third order WENO reconstruction weight limiter function |
title | WENO schemes using optimized third order fuzzy weight limiter functions |
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