Number 1 linear programming course. Learn the simplex method, duality and sensitivity analysis for linear programs

Linear Programming basics

Name: Theoretical foundations of the Simplex method and Duality
Rating: 7

InstructorKrunal Patel

Duration3h 6m

Students13.8K

Rating4.7 (101)

Theoretical foundations of the Simplex method and Duality

Strengths

Rigorous Duality Coverage

The curriculum provides depth in duality theory, covering weak and strong duality, primal-dual feasibility, and Farkas' lemma.

Systematic Problem Solving

Instruction follows a structured progression from basic simplex intuition to more advanced revised simplex techniques and sensitivity analysis.

Limitations

Limited Instructional Detail

One signal indicates that some explanations may lack sufficient depth.

Best suited to

Students of mathematics or optimization
Professionals needing theoretical foundations

Less suited to

Learners seeking practical optimization modeling
Those requiring programming-based implementation

Comidoc Score

7.0/10

Recommended

Intermediate level

Comidoc verdict

Mathematical proofs and the mechanics of optimization form the core of this instruction, moving from basic simplex methods to complex duality theory and sensitivity analysis. This theoretical focus is supported by distributed written assignments designed to test comprehension of underlying mathematical principles.

The curriculum excels at explaining how changes in constraints affect solutions through sensitivity analysis. However, the instruction does not extend into modeling optimization problems, which remains a separate discipline.

This course is best suited for students or professionals who require a rigorous mathematical understanding of linear programming theory rather than practical model construction.

Score breakdown