FA18: Deterministic Optimization

FA18: Deterministic Optimization

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Course
en
English
120 h
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  • 15 Sequences
  • Introductive Level
  • Starts on August 19, 2018
  • Ends on December 13, 2018

You can't access an archived course

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Course details

Syllabus

Week 1
  • Module 1: Introduction
  • Module 2: Illustration of the Optimization Problems
Week 2
  • Module 3: Review of Mathematical Concepts
  • Module 4: Convexity
Week 3
  • Module 5: Outcomes of Optimization
  • Module 6: Optimality Certificates
Week 4
  • Module 7: Unconstrained Optimization: Derivate Based
  • Module 8: Unconstrained Optimization: Derivative Free
Week 5
  • Module 9: Linear Optimization Modeling – Network Flow Problems
  • Module 10: Linear Optimization Modeling – Electricity Markets
Week 6
  • Module 11: Linear Optimization Modeling – Decision-Making Under Uncertainty
  • Module 12: Linear Optimization Modeling – Handling Nonlinearity 
Week 7
  • Module 13: Geometric Aspects of Linear Optimization
  • Module 14: Algebraic Aspect of Linear Optimization
Midterm

Week 8
  • Module 15: Simplex Method in a Nutshell
  • Module 16: Further Development of Simplex Method
Week 9
  • Module 17: Linear Programming Duality
  • Module 18: Robust Optimization
Week 10
  • Module 19: Nonlinear Optimization Modeling – Approximation and Fitting
  • Module 20: Nonlinear Optimization Modeling – Statistical Estimation
Week 11
  • Module 21: Convex Conic Programming – Introduction
  • Module 22: Second-Order Conic Programming – Examples
Week 12
  • Module 23: Second-Order Conic Programming – Advanced Modeling
  • Module 24: Semi-definite Programming – Advanced Modeling
Week 13
  • Module 25: Discrete Optimization: Introduction
  • Module 26: Discrete Optimization: Modeling with binary variables - 1
Week 14
  • Module 27: Discrete Optimization: Modeling with binary variables – 2
  • Module 28: Discrete Optimization: Modeling exercises
Week 15
  • Module 29: Discrete Optimization: Linear programming relaxation
  • Module 30: Discrete Optimization: Solution methods

Prerequisite

  • Linear algebra
  • Multivariate Calculus
  • Basic probability
  • Familiarity with programming in Python

Instructors

Shabbir Ahmed
Anderson-Interface Chair and Professor School of Industrial & Systems Engineering
The Georgia Institute of Technology

Editor

The Georgia Institute of Technology

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