An alternative way to find a polynomial approximation of a function is something of a mix of using the Taylor Series and numerical differentiation. Newton’s Divided Difference method results in a nice, recursive mechanism for calculating coefficients of the polynomial.<\/p>\n
Click here for lecture slides<\/a> based on Kaw, Chapter 5.03<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" An alternative way to find a polynomial approximation of a function is something of a mix of using the Taylor Series and numerical differentiation. Newton’s Divided Difference method results in […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43],"tags":[35,54],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/posts\/384"}],"collection":[{"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/comments?post=384"}],"version-history":[{"count":2,"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/posts\/384\/revisions"}],"predecessor-version":[{"id":415,"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/posts\/384\/revisions\/415"}],"wp:attachment":[{"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/media?parent=384"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/categories?post=384"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sjut.org\/math\/index.php\/wp-json\/wp\/v2\/tags?post=384"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}