Optimization techniques syllabus pdf

Optimization techniques is especially prepared for jntu, jntua, jntuk, jntuh university students. Nature and meaning, history, management applications, modeling. Introduction of theory and numerical methods for continuous multivariate optimization unconstrained. Convex sets and function, introduction to optimization, model formulation, simplex based techniques, concept of duality. Here you can download the free lecture notes of optimization techniques pdf notes. Optimization methods sloan school of management mit. Optimization techniques syllabus nonlinear programming. Total hrs hrs hrs hrs hrs marks marks marks marks marks 03 00 04 07 5 3 70 30 20 30 150. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood. Lecture 1 optimization techniques introduction study.

This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. I can perform sensitivity analysis on various optimization problems. Here you will find the syllabus of fourth subject in bca semesteriv th, which is optimization techniques. Lecture notes optimization methods sloan school of. Optimization techniques pdf notes 2019 all tricks here. Optimization techniques course syllabus kyriakos g. Teaching scheme credits and hours teaching scheme total credit evaluation scheme l t p total theory mid sem exam cia pract. The course takes a unified view of optimization and covers the main areas of application and the main optimization algorithms. Characteristics, scope, development of or in india, role of computers in or. Optimization techniques syllabus free download as word doc. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization. The focus of the course is on convex optimization though some techniques will be covered for nonconvex. Syllabus convex analysis and optimization electrical. Advanced optimization techniques such as evolutionary search algorithms, multi objective optimization are briefly introduced.

Global optimum 1 6 convexity and concavity of functions of one and two variables 1 optimization of function of one variable and multiple variables. This coursesubject is divided into total of 5 units as given below. This is one of the important subject for eee, electrical and electronic engineering eee students. The basic thrust of the course would be to study optimization techniques.