What you will learn
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Chemical Engineering
The objective of this course is to introduce optimization techniques to engineering students, with an emphasis on problems arising in Chemical Engineering applications. The course includes both linear and nonlinear programming problems. The first portion of the course introduces the basic concepts in optimization and how to obtain a mathematical representation of the optimization problem. The second portion of the course describes different solution techniques that can be used to actually solve such problems. Finally, a set of software tools for the solution of optimization problems are also discussed. Upon successful completion of this course, the student will be able to understand the basic theoretical principles in optimization, formulate the optimization problem, and choose appropriate method/solver for solution of the optimization problem
Lecture 1 : Introduction to Optimization
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25:46
Lecture 2 : Introduction to Optimization (Contd.)
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30:38
Lecture 3 : Introduction to Optimization (Contd.)
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36:44
Lecture 4 : Introduction of Optimization (Contd.)
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27:20
Lecture 5: Introduction of Optimization (Contd.)
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39:25
Lecture 06:Optimization Problem Formulation
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39:15
Lecture 07: Optimization Problem Formulation(Contd.)
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25:23
Lecture 08:Optimization Problem Formulation(Contd.)
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37:31
Lecture 09:Optimization Problem Formulation(Contd.)
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36:23
Lecture 10:Optimization Problem Formulation(Contd.)
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36:15
Lecture 11: Basic Concepts of Optimization - I
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34:57
Lecture 12: Basic Concepts of Optimization - I(Contd.)
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32:33
Lecture 13: Basic Concepts of Optimization - I(Contd.)
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32:51
Lecture 14: Basic Concepts of Optimization - I(Contd.)
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31:30
Lecture 15: Basic Concepts of Optimization - I(Contd.)
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35:48
Lecture 16: Basic Concepts of Optimization - II
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29:34
Lecture 17: Basic Concepts of Optimization - II(Contd.)
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36:26
Lecture 18: Basic Concepts of Optimization - II(Contd.)
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35:28
Lecture 19: Basic Concepts of Optimization - II(Contd.)
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32:54
Lecture 20: Basic Concepts of Optimization - II(Contd.)
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29:56
Lecture 21: "Unconstrained Single Variable Optimization: Methods and Applications": Methods and Applications (Contd.)"
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36:50
Lecture 22: "Unconstrained Single Variable Optimization: Methods and Applications (Contd.)"
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37:33
Lecture 23: "Unconstrained Single Variable Optimization: Methods and Applications (Contd.)"
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38:51
Lecture 24: "Unconstrained Single Variable Optimization: Methods and Applications (Contd.)"
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36:40
Lecture 25: "Unconstrained Single Variable Optimization: Methods and Applications (Contd.)"
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37:06
Lecture 26: "Unconstrained Multivariable Optimization: Direct Search Methods"
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30:59
Lecture 27: "Unconstrained Multivariable Optimization: Direct Search Methods (Contd.)"
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34:24
Lecture 28: "Unconstrained Multivariable Optimization: Direct Search Methods (Contd.)"
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34:44
Lecture 29: "Unconstrained Multivariable Optimization: Direct Search Methods (Contd.)"
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36:41
Lecture 30 : "Unconstrained Multivariable Optimization: Direct Search Methods (Contd.)"
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35:57
Lecture 31: "Unconstrained Multivariable Optimization: Gradient Based Methods"
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37:09
Lecture 32: "Unconstrained Multivariable Optimization: Gradient Based Methods (Contd.)"
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34:25
Lecture 33: "Unconstrained Multivariable Optimization: Gradient Based Methods (Contd.)"
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37:34
Lecture 34: "Unconstrained Multivariable Optimization: Gradient Based Methods (Contd.)"
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33:22
Lecture 35: "Unconstrained Multivariable Optimization: Gradient Based Methods (Contd.)"
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34:28
Lecture 36 : Introduction to Linear Programming
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35:48
Lecture 37 : Introduction to Linear Programming (Contd.)
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34:09
Lecture 38 : Introduction to Linear Programming (Contd.)
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25:08
Lecture 39 : Introduction to Linear Programming (Contd.)
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40:17
Lecture 40 : Introduction to Linear Programming (Contd.)
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35:02
Lecture 41: Linear Programming - The Simplex Method
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35:05
Lecture 42: Linear Programming - The Simplex Method (Contd.)
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33:15
Lecture 43: Linear Programming - The Simplex Method (Contd.)
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31:02
Lecture 44: Linear Programming - The Simplex Method (Contd.)
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31:09
Lecture 45: Linear Programming - The Simplex Method (Contd.)
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40:25
Lecture 46: Constrained Nonlinear Programming
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34:03
Lecture 47: Constrained Nonlinear Programming(Contd.)
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41:53
Lecture 48: Constrained Nonlinear Programming(Contd.)
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32:46
Lecture 49: Constrained Nonlinear Programming(Contd.)
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25:02
Lecture 50: Constrained Nonlinear Programming(Contd.)
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38:57
Lecture 51 : Applications of Optimization
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40:45
Lecture 52 : Applications of Optimization (Contd.)
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33:41
Lecture 53 : Applications of Optimization (Contd.)
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30:48
Lecture 54 : Applications of Optimization (Contd.)
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31:59
Lecture 55 : Applications of Optimization (Contd.)
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35:48
Lecture 56 : Software Tools for Optimization
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34:02
Lecture 57 : Software Tools for Optimization (Contd.)
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35:42
Lecture 58 : Software Tools for Optimization (Contd.)
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35:13
Lecture 59 : Software Tools for Optimization (Contd.)
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34:24
Lecture 60 : Software Tools for Optimization (Contd.)
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29:56
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Meet Your Instructor
About Instructor
VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.
Free
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Course Duration34 h 19 m 39 s
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Course LevelIntermediate
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Student Enrolled0
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LanguageEnglish
This Course Includes
- 34 h 19 m 39 s Video Lectures
- 0 Quizzes
- 0 Assignments
- 0 Downloadable Resources
- Full Lifetime Access
- Certificate of Completion