Feasible Solution
A set of values of the variables x 1 , x 2 , x 3 ,.,x n which satisfy all the constraints and also the non-negativity conditions is called the feasible solution of the LP..
Free energy change for predicting feasibility of a reaction
It has already been seen that the total entropy change, D S t o t a l determines the spontaneity of a process. The total entropy change during a process is given by D S t o t a l = D S s y s t e m + D S s u r r o u n d i n g s .(2) If the reaction is carried out at c..
Step 1:
Find the feasible region of the LL..
Limitations of criterion of decrease of Enthalpy
The criterion of decrease of enthalpy for the feasibility of chemical reactions fails to explain the following fact..
The quantity to be maximized or minimized is represented by a linear f..
The quantity to be maximized or minimized is represented by a linear function called as _________. => the constraint or the feasible function or the objective function or the restriction..
The quantity to be maximized or minimized is represented by a linear f..
The quantity to be maximized or minimized is represented by a linear function called ______. => The restriction or The constraint or The feasible function or The objective function..
The quantity to be maximized or minimized is represented by a linear f..
The quantity to be maximized or minimized is represented by a linear function called as _________. => The restriction or The objective function or The feasible function or The constraint..
Randomness and Spontaneity
In order to find out some other factor that may be responsible for the feasibility of a process, let us examine endothermic reactions. The simplest process occurring without any energy change (where D H is almost zero) may be illustrated with the help of following experim..
Optimal Solution
The feasible solution, which optimises (i.e., maximizes or minimizes as the case may be) the objective function is called the optimal solutio..
Some Exceptional Cases
Some Exceptional Cases - We may come across LPP which may have no feasible (infeasible) solution or may have unbounded solution. We conclude the chapter by giving one example for each of these exceptional cas..
Result
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