{"id":491,"date":"2023-07-17T12:53:32","date_gmt":"2023-07-17T17:53:32","guid":{"rendered":"https:\/\/ceid1.wpenginepowered.com\/HYPAD\/?page_id=491"},"modified":"2024-04-12T14:18:38","modified_gmt":"2024-04-12T19:18:38","slug":"lecture-notes","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/HYPAD\/lecture-notes\/","title":{"rendered":"Lecture Notes"},"content":{"rendered":"\t\t
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Hypercomplex Automatic Differentiation (HYPAD) Lecture Notes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The following tabs contains lecture notes on hypercomplex automatic differentiation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tComplex Step Lecture Notes<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
  1. Derivation<\/a><\/span><\/em><\/li>
  2. Closed Form<\/a><\/em><\/span><\/li>
  3. Special Functions<\/a><\/em><\/span><\/li>
  4. Step Size Study<\/a><\/em><\/span><\/li>
  5. Numerical Integration<\/a><\/em><\/span><\/li>
  6. Newton Rhapson<\/a><\/em><\/span><\/li>
  7. ODE Solver<\/a><\/span><\/em><\/li>
  8. CR Format<\/a><\/em><\/span><\/li>
  9. 2nd Order<\/a><\/span><\/em><\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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    1. Derivation<\/a><\/span><\/em><\/li>
    2. Closed Form<\/a><\/em><\/span><\/li>
    3. Step Size Study<\/a><\/em><\/span><\/li>
    4. Numerical Integration<\/a><\/em><\/span><\/li>
    5. Newton Rhapson<\/a><\/em><\/span><\/li>
    6. ODE Solver<\/a><\/em><\/span><\/li>
    7. CR Format<\/a><\/em><\/span><\/li>
    8. 2nd Order<\/a><\/em><\/span><\/li>
    9. Complex Functions<\/a><\/em><\/span><\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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      1. Derivation<\/a><\/em><\/span><\/li>
      2. Functions<\/a><\/em><\/span><\/li>
      3. Closed Form<\/a><\/em><\/span><\/li>
      4. CR Format<\/a><\/em><\/span><\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

        Hypercomplex Automatic Differentiation (HYPAD) Lecture Notes The following tabs contains lecture notes on hypercomplex automatic differentiation. Complex Step Lecture Notes Derivation Closed Form Special Functions Step Size Study Numerical Integration Newton Rhapson ODE Solver CR Format 2nd Order Dual Lecture Notes Derivation Closed Form Step Size Study Numerical Integration Newton Rhapson ODE Solver CR Format […]<\/p>\n","protected":false},"author":248,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-491","page","type-page","status-publish","hentry"],"yoast_head":"\nLecture Notes - HYPercomplex Automatic Differentiation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ceid.utsa.edu\/HYPAD\/lecture-notes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lecture Notes - HYPercomplex Automatic Differentiation\" \/>\n<meta property=\"og:description\" content=\"Hypercomplex Automatic Differentiation (HYPAD) Lecture Notes The following tabs contains lecture notes on hypercomplex automatic differentiation. 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