Non Linear Optimization

Deep Dive into solving optimization problems where the relationship between variables is non-linear. Explore techniques like gradient descent, Newton’s method, and constraint handling to find optimal solutions. Get hands-on project focused on Optimizing Power Grid Distribution for efficient energy management.

  • Explore techniques like gradient descent, Newton’s method, and constraint handling to find optimal solutions
  • Get hands-on project focused on Optimizing Power Grid Distribution for efficient energy management

Prabhakaran SPrincipal Data Scientist

Included in All-Access, one membership for every course.

Lessons
11, in 5 chapters
Video
1 h 23 min
Certificate
On completion

What you'll be able to do

  • High-Performance Computing Fundamentals
  • Python packges for Non linear optimization
  • Simple Constrained minimization problem
  • Industrial case study: Optimizing Power Grid Distribution
  • Techniques to linearize non-linear equations
  • Non-linear programming in ML

Course content

5 chapters · 11 lessons · 1 h 23 min

  1. 01Introduction to Non Linear Programming2 lessons · 7 min
    1. What is Non-Linear Programming?6:29
    2. Download Resources1:00
  2. 02Non Linear Programming Techniques3 lessons · 27 min
    1. Gradient Descent12:01
    2. Newton Method9:15
    3. Sequential Quadratic Programming5:51
  3. 03Python Packages for Non Linear Programming1 lesson · 4 min
    1. Commonly used Python packages for nonlinear optimization3:40
  4. 04Practical Coding Examples2 lessons · 19 min
    1. Simple Example of Non-Linear Optimisation9:18
    2. How Does Nonlinear Programming Used in Machine Learning9:20
  5. 05Project: Optimizing Power Grid Distribution3 lessons · 27 min
    1. Project Overview3:38
    2. Phases of Solution Approach4:56
    3. Step by Step Implementation in Python18:07

What you need

  • Basics of Python
  • Foundational knowledge of Data Science
  • High school maths

Who this course is for

  • Data Science Aspirants
  • Data Science Professionals
  • Software/Data engineers interested in quantitative analysis
  • Professionals working with large datasets
  • Data analysts, economists, researchers

Your instructor

Prabhakaran S

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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