# Nhl Suspension Flow Chart Flowchart Examples This Infographic Has An Insane Amount Of History Packed Into

By Jett Alcock at November 10 2018 15:16:36

Define the starting point of the process of project. This is the first step that starts of the process. For example, the first step could be project planning or research. Write down the starting point and the end result. Both of these should be in boxes with some space in between them. Adjust this space according to the number of steps and sub-steps involved in the process. Draw an arrow from the starting point to the end result. Along this arrow, list the various steps in order that are needed to go from the starting point to the end result. Include any sub-steps as needed.

In mathematics, method of solving a problem by repeatedly using a simpler computational method. A basic example is the process of long division in arithmetic. The term algorithm is now applied to many kinds of problem solving that employ a mechanical sequence of steps, as in setting up a computer program. The sequence may be displayed in the form of a flowchart in order to make it easier to follow. As with algorithms used in arithmetic, algorithms for computers can range from simple to highly complex.

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Retirement Plan Flowchart : One way of keeping track of the retirement plans is by using a retirement plan flowchart. Such a flowchart gives you a graphical view of all the activities that have and are going to occur in the whole process of retirement planning. There will be various lines and symbols all with their own meaning showing all the steps to go through the process. A retirement plan flowchart is a planning tool that an individual can use as well, then it will show you the whole process at one glance.

In medicine, programs have been developed that analyze the disease symptoms, medical history, and laboratory test results of a patient, and then suggest a diagnosis to the physician. The diagnostic program is an example of so-called expert systems-programs designed to perform tasks in specialized areas as a human would. Expert systems take computers a step beyond straightforward programming, being based on a technique called rule-based inference, in which preestablished rule systems are used to process the data. Despite their sophistication, systems still do not approach the complexity of true intelligent thought.