false in the case of functions with multiple local optima, most nonlinear optimization software methods can get stuck and terminate at a local optimum.
The choice of the optimal element, in relation to certain criteria, from a group of accessible options is known as optimization Discrete optimization and continuous optimization are the two main subfields. All quantitative fields, from operations research and economics to computer science and engineering[2], encounter some form of optimization issue, and the development of solution techniques has long piqued the attention of mathematicians. According to a more comprehensive perspective, an optimization issue entails either maximising or minimising a real function by methodically selecting input values from a permitted set and determining the value of the function.
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