{"id":23461,"date":"2020-07-16T16:56:44","date_gmt":"2020-07-16T16:56:44","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/ee611pe-optimization-techniques-eee-syllabus-for-btech-3rd-year-2nd-sem-r18-regulation-jntuh-professional-elective-ii\/"},"modified":"2020-07-16T16:56:44","modified_gmt":"2020-07-16T16:56:44","slug":"ee611pe-optimization-techniques-eee-syllabus-for-btech-3rd-year-2nd-sem-r18-regulation-jntuh-professional-elective-ii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/ee611pe-optimization-techniques-eee-syllabus-for-btech-3rd-year-2nd-sem-r18-regulation-jntuh-professional-elective-ii\/","title":{"rendered":"EE611PE: Optimization Techniques EEE Syllabus for B.Tech 3rd Year 2nd Sem R18 Regulation JNTUH (Professional Elective-II)"},"content":{"rendered":"<p align=\"justify\">Optimization Techniques detailed Syllabus for Electrical &amp; Electronics Engineering (EEE), R18 regulation has been taken from the <a href=\"https:\/\/jntuh.ac.in\/syllabus\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">JNTUH<\/a> official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical\/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.<\/p>\n<p align=\"justify\">For all the other EEE 3rd Year 2nd Sem Syllabus for B.Tech R18 Regulation JNTUH, visit <a href=\"..\/eee-3rd-year-2nd-sem-syllabus-for-btech-r18-regulation-jntuh\">Electrical &amp; Electronics Engineering 3rd Year 2nd Sem R18 Scheme<\/a>. <\/p>\n<p align=\"justify\">For all the (Professional Elective-II) subjects refer to <a href=\"..\/eee-3rd-year-2nd-sem-professional-elective-ii-syllabus-for-btech-r18-regulation-jntuh\">Professional Elective-II Scheme<\/a>. The detail syllabus for optimization techniques is as follows.  <\/p>\n<h4>Pre-requisite:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Course Objectives:<\/h4>\n<p align=\"justify\">\n<ul>\n<li>To introduce various optimization techniques i.e classical, linear programming, transportation problem, simplex algorithm, dynamic programming<\/li>\n<li>Constrained and unconstrained optimization techniques for solving and optimizing an electrical and electronic engineering circuits design problems in real world situations.<\/li>\n<li>To explain the concept of Dynamic programming and its applications to project implementation.<\/li>\n<\/ul>\n<h4>Course Outcomes:<\/h4>\n<p align=\"justify\">\nAfter completion of this course, the student will be able to<\/p>\n<ul>\n<li>explain the need of optimization of engineering systems<\/li>\n<li>understand optimization of electrical and electronics engineering problems<\/li>\n<li>apply classical optimization techniques, linear programming, simplex algorithm, transportation problem<\/li>\n<li>apply unconstrained optimization and constrained non-linear programming and dynamic programming<\/li>\n<li>Formulate optimization problems.<\/li>\n<\/ul>\n<h4>Unit I<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit II<\/h4>\n<p align=\"justify\">\nLinear Programming: Standard form of a linear programming problem &#8211; geometry of linear programming problems &#8211; definitions and theorems &#8211; solution of a system of linear simultaneous equations &#8211; pivotal reduction of a general system of equations &#8211; motivation to the simplex method -simplex algorithm.<\/p>\n<p>  Transportation Problem: Finding initial basic feasible solution by north &#8211; west corner rule, least cost method and Vogels approximation method &#8211; testing for optimality of balanced transportation problems.<\/p>\n<h4>Unit III<\/h4>\n<p align=\"justify\">\nUnconstrained Non-linear Programming: One dimensional minimization methods, Classification, Fibonacci method and Quadratic interpolation method<\/p>\n<p>  Unconstrained Optimization Techniques: Uni-variant method, Powells method and steepest descent method.<\/p>\n<h4>Unit IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit V<\/h4>\n<p align=\"justify\">\nDynamic Programming: Dynamic programming multistage decision processes &#8211; types &#8211; concept of sub optimization and the principle of optimality &#8211; computational procedure in dynamic programming -examples illustrating the calculus method of solution &#8211; examples illustrating the tabular method of solution.<\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Singiresu S. Rao, Engineering Optimization: Theory and Practice by John Wiley and Sons, 4th edition, 2009.<\/li>\n<li>H. S. Kasene and K. D. Kumar, Introductory Operations Research, Springer (India), Pvt. Ltd., 2004<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.<\/p>\n<p align=\"justify\">For detail Syllabus of all other subjects of B.Tech 3rd Year 2nd Sem Electrical &amp; Electronics Engineering, visit <a href=\"..\/category\/eee+3rd-year\">EEE 3rd Year 2nd Sem Syllabus<\/a> Subjects.<\/p>\n<p align=\"justify\">For all B.Tech results, visit <a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-results\/\">JNTUH B.Tech all years, and semester results <\/a>from direct links.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Optimization Techniques detailed Syllabus for Electrical &amp; Electronics Engineering (EEE), R18 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. [&hellip;]<\/p>\n","protected":false},"author":2344,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-23461","post","type-post","status-publish","format-standard","hentry","category-eee"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/23461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/users\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=23461"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/23461\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=23461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=23461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=23461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}