{"id":799,"date":"2023-05-13T14:20:27","date_gmt":"2023-05-13T13:20:27","guid":{"rendered":"https:\/\/computingskillset.com\/?p=799"},"modified":"2023-06-06T18:41:27","modified_gmt":"2023-06-06T17:41:27","slug":"the-newton-raphson-method-narrated-in-the-style-of-a-film-noir-voiceover","status":"publish","type":"post","link":"https:\/\/computingskillset.com\/solving-equations\/the-newton-raphson-method-narrated-in-the-style-of-a-film-noir-voiceover\/","title":{"rendered":"The Newton-Raphson method, narrated in the style of a Film Noir Voiceover"},"content":{"rendered":"\n
You may have seen my post on the Newton-Raphson method<\/a> in the style of the King-James version of the Bible. Since that turned out very well, I asked ChatGPT<\/a> to explain the method again to me, but this time in the style of a Film Noir<\/a> Voiceover. Here is the result. Enjoy!<\/p>\n\n\n\n\n\n\n Write a step-by-step instruction for the Newton-Raphson method, but in the style of a Film Noir Voiceover: A hard-boiled detective narrates his way through the method like he’s solving a complex crime.<\/p>\n<\/blockquote>\n\n\n\n The night was darker than a blackboard in a power outage, and I was alone in my office, the only sound the steady tap of rain on the window. I had a problem to solve – an equation that needed roots, and the only friend I had in this lonely task was an old ally: the Newton-Raphson method.<\/p>\n\n\n\n And that, my friend, is how the Newton-Raphson method and I cracked the case wide open. It’s a tough job, but in this city of numbers and equations, it’s the only job I know.<\/p>\n\n\n\n If you like this sort of thing, i.e., fun versions of scientific explanations, then you might be interested to read one of the following as well. At least, once you are through them all, you should be able to explain the Newton-Raphson method to absolutely anybody<\/strong> …<\/p>\n\n\n\n You may have seen my post on the Newton-Raphson method in the style of the King-James version of the Bible. Since that turned out very well, I asked ChatGPT to<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/posts\/799"}],"collection":[{"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/comments?post=799"}],"version-history":[{"count":4,"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/posts\/799\/revisions"}],"predecessor-version":[{"id":819,"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/posts\/799\/revisions\/819"}],"wp:attachment":[{"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/media?parent=799"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/categories?post=799"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/computingskillset.com\/wp-json\/wp\/v2\/tags?post=799"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}The prompt<\/h2>\n\n\n\n
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And the result<\/h2>\n\n\n\n
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\\[x_1 = x_0 – f(x_0)\/f'(x_0)\\]
My new approximation, \\(x_1\\), it was a step closer to the truth, closer to the root than my initial guess, \\(x_0\\).<\/li>\n\n\n\n
\\[x_{i+1} = x_i – f(x_i)\/f'(x_i)\\]<\/li>\n\n\n\nMore Newton-Raphson Style Variations<\/h2>\n<\/div><\/div>\n\n\n\n
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