what are the advantages and limitations of lp problem?
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['LP makes logical thinking and provides better insight into business problems.', 'Manager can select the best solution with the help of LP by evaluating the cost and profit of various alternatives.', 'LP provides an information base for optimum allocation of scarce resources.']
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Chief characteristics: All linear programming problems must have following five characteristics: (a) Objective function: There must be clearly defined objective which can be stated in quantitative way. In business problems the objective is generally profit maximization or cost minimization.
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(iii) A transportation problem is not subject to any such restrictions. Such restriction are peculiar to assignment problems only. Many allocations can be done in a particular row or particular column. (iv) In assignment problem management aims at assignment jobs to various people.
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['ADVANTAGES AND DISADVANTAGES OF.', 'INTERNET USAGE.', 'Advantages.', '– Availability of mainly free information.', '– Low cost of initial connection.', '– Reduces the costs of divulgation.', '– The same protocol of communication can be used for all the.', 'services.']
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['Advantage – Clear Chain of Command. ... ', 'Advantage – Clear Paths of Advancement. ... ', 'Advantage – Specialization. ... ', 'Disadvantage – Poor Flexibility. ... ', 'Disadvantage – Communication Barriers. ... ', 'Disadvantage – Organizational Disunity.']
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['Method Optimization. Method optimization improves the current method without questioning if the general approach is correct or pursues a desirable goal. ... ', 'Method Selection. ... ', 'Goal Selection.']
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In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized.
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['Optimal Substructure: If an optimal solution contains optimal sub solutions then a problem exhibits optimal substructure.', 'Overlapping subproblems: When a recursive algorithm would visit the same subproblems repeatedly, then a problem has overlapping subproblems.']
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['Less risk. Advantage.', 'Training and support. Advantage.', 'Brand recognition. Advantage.', 'Easier access to funding. Advantage.', 'Cost. Disadvantage.', 'Lack of control. Disadvantage.', 'Negative halo effect. Disadvantage.', 'Growth challenges. Disadvantage.']
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['Advantage-Diversity of Opinion. ... ', 'Disadvantage-Conflict. ... ', 'Advantage-Division of Labor. ... ', 'Disadvantage-Differences in Style. ... ', 'Advantage-Multiple Proofreaders. ... ', 'Disadvantage-Peer Pressure.']
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The only known way to verify that a provided solution is the shortest possible solution is to actually solve TSP. Since it takes exponential time to solve NP, the solution cannot be checked in polynomial time.
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Originally Answered: What is the advantages and disadvantages of Genetic Algorithm? The main advantages are its ability to find good quality solutions in a short time of computation. The main disadvantages is that it cannot guarantee an optimal solution.
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['Security problems.', 'Potentially breaking copyright laws.', 'Duplication of data.', 'Data inconsistency.', 'Data Redundancy.']
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Linear programming is used to find optimal solutions to problems using the basis of a linear function, like a line. Integer programming is programming with all variables restricted to integers.
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['Advantage: Less Infrastructure. ... ', 'Advantage: Limited Waste. ... ', 'Advantage: Strong Customer Relationships. ... ', 'Disadvantage: Equipment or Labor Failure. ... ', 'Disadvantage: Missed Deliveries.']
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['#advantages:', 'Multiple data items of same data type can be accessed using single name.', 'Arrays can be used to implement matrices.', 'Data structure like queue , linked list can be accessed using arrays.', '#disadvantages :', 'We must know in advance that how many elements are to be stored in an array.', 'Array is static structure.']
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However, the main difference is that greedy algorithms have a local choice of the subproblem that will lead to an optimal answer. On the other hand, dynamic programming would solve all dependent subproblems and then select one that would lead to an optimal solution.