In this comprehensive course, "Linear Programming in MATLAB With Solution to Transportation Problem," you will embark on a journey into the world of mathematical optimization and problem-solving using Linear Programming (LP) techniques, with a particular focus on solving Transportation Problems. This course equips you with a profound understanding of LP models, providing you with the skills and knowledge to tackle real-world optimization challenges.

Starting with the fundamental principles of Linear Programming, you will grasp the essence of LP models. You'll delve into the world of MATLAB, a powerful tool for solving LP problems, and learn to harness the linprog function effectively. As you progress, you'll apply your newfound knowledge to solve LP problems, developing a strong foundation in this essential mathematical technique.

A significant part of this course is dedicated to the Transportation Problem, a two-layered supply chain model. You'll learn to define the structure of this model, tackle the challenges it presents, and implement step-by-step solutions using MATLAB. These practical insights will prepare you to address complex logistical and transportation scenarios efficiently. This course is tailored for applied math and engineering students, operations research enthusiasts, and anyone intrigued by the world of mathematical optimization. By the end of this course, you'll be proficient in tackling LP problems and equipped to handle real-world logistics and optimization tasks.