What does the word iteration mean in science?

An iteration is a process that is performed one or more times. It can refer to a mathematical process, such as addition, or to a physical process, such as the heating of a pot of boiling water. In the context of science, an iteration is often used to describe how a simulation or model is run over and over again to create an output. For example, in weather forecasting, we can run a model to get an idea of what the weather will be like. The results of the run

What does the word iteration mean in biology?

A single iteration is one cycle of a procedure or process. When performing an experiment or any sort of research that involves a procedure, you’re likely to use iteration to make sure it works properly.

What does the word iteration mean in chemistry?

In chemical processes, iteration can refer to any one of several different processes. The simplest is a reaction that cycles among three states. A reaction that goes through an A → B → C → A reaction is an example of one type of chemical reaction that can go through an iteration. A reaction that goes through an A → B → C → B → A reaction is another. There are even more complex chemical processes that can also be referred to as iterations, such as those that use catalyst beads.

What does the word iteration mean in science fiction?

The use of the word “iteration” in the context of science fiction is rather uncommon, but it can refer to improving a process or technology. An example of this is the way the Replicator technology in Star Trek is enhanced with each iteration. It includes more advanced and faster components. In Orphan Black, the clone technology is enhanced with each new clone. The clones are genetically enhanced with each successful transplant.

What does the word iteration mean in science class?

A good definition of iteration is “doing the same process over and over again,” and it’s a term that’s especially used in computer science. The idea of an iteration is that you take a problem, solve it, and then repeat solving the same problem, but with the goal of improving your solution each time. In a lot of machine learning, the goal is to find the optimum solution to a problem using a set of inputs. That process is what’