Question 45. For what ultimate purposes may algorithms like Nelder-Mend, Newton-Raphson or gradtent-descentbe used for?a) To find the minimum of a function.b) To find all zeros of a function.c) To evaluate the derivative of a function.d) To solve a generalised regression problem.

A zeros of a function or root of a function is a value which makes function zero i.e. for any…

Question 45. For what ultimate purposes may algorithms like Nelder-Mend, Neuton-Raphson or graditent-descent be used for? a) To find the minimum of a fiunction. b) To find all zeros of a function. c) To evaluate the derivative of a function. d) To solve a generalised regression problem.

Question 45. For what ultimate purposes may algorithms like Nelder-Mend, Neuton-Raphson or graditent-descent be used for? a) To find the minimum of a fiunction. b) To find all zeros of a function. c) To evaluate the derivative of a function. d) To solve a generalised regression problem.

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter11: Nonlinear Programming

Section11.3: Convex And Concave Functions

Problem 16P

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Concept of Randomized Approximation Algorithms

Randomized algorithms are algorithms that use random numbers to determine what to do next at any point in their logic. This means that it uses randomization for operation in the logic. Due to this randomness, the time and space complexity of the standard algorithm is reduced.

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