# Non Linear Programming Problem For Academics and Research

Non Linear Programming Problem, Maxima, Minima, Lagrangian Multiplier and Kuhn tucker Method

Non-Linear programming problems (NLPP), Course is designed by a team of engineering Viya and they have trained more than 10,000 students in last 19 years, In this course, All course contents and video lectures are systematically organized and all ambiguity, of course, is removed. The most beautiful thing about this course is, To learn this course you don’t require any prerequisite concepts because all necessary prerequisites are cover in the course only. In NLPP Course all problems are grouped into a number of exercises where each exercise contains a similar type of problem. All type of problems is solved and explained in detail with a simple approach and understandable language.

What you’ll learn

• After completion of this course, students will be able to: 1)Understand the Basics of NLPP and LPP. 2) Differentiate LPP and NLPP. 4) Apply appropriate methods to solve NLPP Problem. 3) Calculate Relative Maxima and Relative Minima. 4) Solve NLPP Problem with equality constraints using Lagrangian Multiplier. 5) Solve NLPP Problem with inequality constraint using Kuhn-Tucker Method.

Course Content

• Prerequisites-1 [Computation of Determinant] –> 4 lectures • 45min.
• Prerequisites-2 [ Partial Differentiation Evaluation] –> 3 lectures • 33min.
• Introduction of NLPP –> 3 lectures • 10min.
• Exercise-1: (Calculation of Relative Maxima and Relative Minima) –> 6 lectures • 31min.
• Exercise-2: (Lagrangian Multiplier with Two variable and One Constraint) –> 5 lectures • 23min.
• Exercise-3 [Lagranigian Multiplier with Three Variables and One Constraint] –> 5 lectures • 34min.
• Exercise-4 [Lagranigian Multiplier with Two Variables and Two Constraint] –> 5 lectures • 30min.
• Exercise-5 [Lagranigian Multiplier with Three Variables and Two Constraint] –> 5 lectures • 44min.
• Exercise-6 [Kuhn Tucker Method with one Constraint] –> 5 lectures • 26min.
• Exercise-7 [Kuhn Tucker Method with Two Constraint] –> 5 lectures • 47min. Requirements

Non-Linear programming problems (NLPP), Course is designed by a team of engineering Viya and they have trained more than 10,000 students in last 19 years, In this course, All course contents and video lectures are systematically organized and all ambiguity, of course, is removed. The most beautiful thing about this course is, To learn this course you don’t require any prerequisite concepts because all necessary prerequisites are cover in the course only. In NLPP Course all problems are grouped into a number of exercises where each exercise contains a similar type of problem. All type of problems is solved and explained in detail with a simple approach and understandable language.

In this course, You will be going to learn all types of Non-Linear Programming Problems (NLPP) with the problem-solving approach, In NLPP here we have covered the calculation of Relative maxima, Relative Minima, Lagrangian Multiplier, and Kuhn tucker Method. In the Lagrangian multiplier here, we have covered two variables one constraint, Three variables one constraint, two variables two constraints, and three variables two constraints problems. In the Kuhn-Tucker method here we have covered one Inequality and Two Inequality constraint problems.

This course is designed for Engineering Students, Management students, Mathematics scholars, and Research Schololors either from management or from the engineering field.

Course Outcome of NLPP Course is given below:-

After completion of this course, students will be able to:

1)Understand the Basics of NLPP and LPP.

2) Differentiate LPP and NLPP.

4) Apply appropriate methods to solve NLPP Problem.

3) Calculate Relative Maxima and Relative Minima.

4) Solve NLPP Problem with equality constraints using Lagrangian Multiplier.

5) Solve NLPP Problem with inequality constraint using Kuhn-Tucker Method

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