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Introduction to Mathematical Optimization

How do you explain mathematical optimization?
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives.
It is generally divided into two subfields: discrete optimization and continuous optimization.
What is the introduction of optimization?
“Optimization” comes from the same root as “optimal”, which means best.
When you optimize something, you are “making it best”.
The objective function, f(x), which is the output you're trying to maximize or minimize.
The objective function, f(x), which is the output you're trying to maximize or minimize.
What are the 5 steps of optimization?
To start process optimisation in your business, follow these five steps:
Identify/map it out. ‍To know what you have to improve, you first must identify the places for improvement. Rethink. ‍Business process optimisation can be achieved through the usage of existing resources. Analyse. Automate. Monitor.
Basic Optimization Concepts.
In general, there are three fundamental parts of an optimization problem — the control variables, the objective function and, optionally, constraints.

How do you explain mathematical optimization?