1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
necessity of linear programming on organization.
the significance of duality theory of linear programming
essential attributes of linear programming models and its uses
A linear objective function and linear constraints.
Ronald I. Rothenberg has written: 'Probability and Statistics (Harcourt Brace Jovanovich College Outline Series)' 'Finite mathematics' -- subject(s): Mathematics, Programmed instruction 'Linear programming' -- subject(s): Linear programming
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
No, it will not. In fact, there is a special branch of linear programming which is called integer programming and which caters for situations where the solution must consist of integers.
necessity of linear programming on organization.
the significance of duality theory of linear programming
essential attributes of linear programming models and its uses
Integer programming is a method of mathematical programming that restricts some or all of the variables to integers. A subset of Integer programming is Linear programming. This is a form of mathematical programming which seeks to find the best outcome in such a way that the requirements are linear relationships.
A linear objective function and linear constraints.
Toshinori Munakata has written: 'Matrices and linear programming with applications' -- subject(s): Linear programming, Matrices 'Solutions manual for Matrices and linear programming'
Linear programming can be used to solve problems requiring the optimisation (maximum or minimum) of a linear objective function when the variables are subject to a linear constraints.
It is a process by which a linear function of several variables, called the objective function, is maximised or minimised when it is subject to one or more linear constraints in the same variables.