Advanced Process Optimization
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Follow on Instagram for UpdatesAdvanced Process Optimization Syllabus — Unit-wise Content
The official GTU curriculum for Advanced Process Optimization (subject code 2723010) as prescribed for CE · Semester 2 divides the course into 4 units, covering 25 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2723010)Unit 1 The Nature and Organization of Optimization Problems
- Scope and Hierarchy of Optimization
- Examples of applications of Optimization
- The Essential Features of Optimization Problems
- General Procedure for Solving Optimization Problems
- Obstacles to Optimization
Unit 2 Developing Models for Optimization
- Classification of Models
- How to Build a Model
- Selecting Functions to Fit Empirical Data
- Factorial Experimental Designs
- Degrees of Freedom
- Examples of Inequality and Equality Constrains in Models
- Formulation of the Objective Function Economic Objective Functions
- The Time Value of Money in Objective Functions
- Measures of Profitability
Unit 3 Basic Concepts of Optimization
- Continuity of Function
- NLP Problem Statement
- Convexity and Its Applications
- Interpretation of the Objective Function in Terms of its Quadratic Approximation
- Necessary and Sufficient Conditions for an Extremum of an Unconstrained Function
Unit 4 Optimization of Unconstrained Functions
- One-Dimensional Search Numerical Methods for Optimizing a Function of One Variable
- Scanning and Bracketing Procedures
- Newton and Quasi-Newton Methods of Unidimensional Search
- Polynomial Approximation Methods
- How One-Dimensional Search is Applied in a Multidimensional Problem
- Evaluation of Unidimensional Search
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