The duality in Linear Programming defines that each and every linear programming problem (LPP) comes along with along LPP which is exactly related to each other and so can be easily derived. The original LPP is stated as “Primal”, but in case of derived linear problem it is termed as “Dual.”
While taking the initiative to solve duality, it is necessary that original linear programming problem should be formulated in standard form.
While explaining standard form, it is defined as all variable available in problem should be referred as non-negative and it is symbolized in “≥,” ”≤” which is usually used in case of minimization and maximization respectively.
Various aspects of such property
There are different aspects that you would learn such as:
- In case primal comes with large number of constraints and there are small variable, then computation can certainly be reduced by simply converting problems to dual and finally solving it.
- Duality when it comes to linear programming comes up with effective consequences that can put can impact on economic nature. This can finally enable managers to answer different questions related to various course of action and relative values.
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- Introduction to accounting and branches of accounting
- Preparation of final accounts
- Introduction of fund flow statement
- Introduction cash flow statement
- Ratio analysis significance of ratio analysis
- Fixed assets and depreciation meaning causes objectives methods and basic factor
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- Job costing
- Introduction process costing
- Activity based costing introduction concept and classification
- Introduction inventory pricing and valuation
- Standard costing introduction
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- Introduction to responsibility accounting
- Introduction to financial management
- Introduction and types of dividend
- Concept of cost of capital
- Capitalization meaning
- Concepts of working capital
- Concept of capital expenditure
- Learning objectives and chapter outline
- Limitations of operations research
- Linear programming learning objectives and outline of chapter
- Introduction learning objectives
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