Linear Programing Problem (LPP) Course
Contact us

Linear Programing Problem (LPP) Course

  • Master linear programming for optimal decision-making

Created by SuccessTed

  • Hindi, English

About the course

Description:

Linear Programming Problem (LPP) Course is designed to provide a comprehensive understanding of linear programming techniques, algorithms, and applications in decision-making. The course covers topics such as formulation of linear programming models, graphical solution methods, simplex method, sensitivity analysis, duality, and transportation and assignment problems.

Key Highlights:

  • Formulation of linear programming models
  • Graphical solution methods
  • Simplex method
  • Sensitivity analysis
  • Duality
  • Transportation and assignment problems

What you will learn:

  • Understanding Linear Programming Models
    Learn how to formulate linear programming models to solve complex decision-making problems.
  • Optimization Techniques
    Explore graphical solution methods, simplex method, and sensitivity analysis for optimization.
  • Practical Applications
    Apply linear programming to real-world scenarios such as transportation and assignment problems.

Course Curriculum

What do we offer

Live learning

Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.

Structured learning

Our curriculum is designed by experts to make sure you get the best learning experience.

Community & Networking

Interact and network with like-minded folks from various backgrounds in exclusive chat groups.

Learn with the best

Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.

Practice tests

With the quizzes and live tests practice what you learned, and track your class performance.

Get certified

Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.

Enroll Now
Launch your GraphyLaunch your Graphy
100K+ creators trust Graphy to teach online
𝕏
SuccessTed 2024 Privacy policy Terms of use Contact us Refund policy