application areas of nonlinear program

The Application Areas of Linear Programming are: 1. Transportation Problem 2. Military Applications 3. Operation of System Of Dams 4. Personnel Assignment Problem 5. Other Applications: (a). manufacturing plants, ..

A travelling sales man can find the shortest routes to save time / fuel cost. The most economic and efficient manner of locating manufacturing plants and distribution centres may be used. Linear programming may be used for effective and efficient production management and manpower manage..

After the elementary study in probability, let us see how we can utilise this basic knowledge in solving problems of different areas..

. Since the atmospheric level of the gas is only 0.3 to 0.4% and maximum crop yield is reported at 1% level, these plants are ideal for cultivation as they can draw maximum carbon dioxide from the atmosphere, greatly increasing the yield. One of the areas of current focus is the better un..

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Now we shall discuss the use of determinants in finding the area of a triangle and in the solution of simultaneous equation..

Applications of Lasers - The development of the laser has opened many avenues of investigation and improved many others. The important characteristics that have contributed to its usefulness in these many areas are tile coherence, monochromaticity and great intensity of its radi..

Applications of Elasticity - Mechanical properties like strength, stiffness (Rigidity), ductility, malleability and brittleness have to be carefully studied to select a material for a particular job. The metallic parts of machines should not be subjected to stress beyond the elastic limit..

(a). Linear programming is applicable only to problems where the constraints and objective function are linear i.e., where they can be expressed as equations which represent straight lines. In real life situations, when constraints or objective functions are not linear, th..

Linear programming is applicable only to problems where the constraints and objective function are linear i.e., where they can be expressed as equations which represent straight lines. In real life situations, when constraints or objective functions are not linear, this techni..