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Samia qureshi
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Can anybody explain in simple and easy words "Lagrange Multiplier" What is it? and when it is used? i googled it but that was explained in much difficult words.
Krylov said:The Lagrange multiplier is a additional auxiliary variable that appears when applying Lagrange's technique to solve an optimization problem with equality constraints by converting it to an unconstrained optimization problem. So: You get rid of the constraint at the cost of introducing an extra unknown.
To proceed, I think it is necessary to introduce notation for the function to be maximized (or: minimized) as well as the constraint(s). For this I could recommend the Wikipedia article, which seems quite accessible if you are familiar with some basic multivariable calculus.
Lagrange's formulation of classical mechanics is indeed based on a constrained energy minimization problem (where the constraints are dictated by the system's geometry) and the equations of motion are obtained from the "Lagrangian". The Lagrangian also appears more generally in constrained optimization problems, also in unrelated fields such as economics, but of course there it has another role and interpretation.Samia qureshi said:Isn't it similar to Lagrange equation of motions?
The Lagrange Multiplier is a mathematical technique used to optimize a function subject to constraints. It is named after Joseph-Louis Lagrange, a French mathematician.
The Lagrange Multiplier works by introducing a new variable, known as the multiplier, to the original function. This multiplier is then used to modify the function so that it satisfies the given constraints. The resulting function can then be optimized using traditional methods.
The Lagrange Multiplier is used to optimize a function while taking into account any constraints that may be present. It allows for the incorporation of these constraints into the optimization process, resulting in a more accurate and efficient solution.
The Lagrange Multiplier is commonly used in fields such as mathematics, physics, engineering, and economics. It is also frequently used in machine learning and optimization problems in computer science.
While the Lagrange Multiplier is a powerful tool for optimization, it does have some limitations. It is only applicable to problems with continuous functions and differentiable constraints. Additionally, it may not always provide the most efficient solution and can become computationally expensive for complex problems.