By Olivia Giles at January 10 2019 14:23:10

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.

Current research in information processing deals with programs that enable a computer to understand written or spoken information and to produce summaries, answer specific questions, or redistribute information to users interested in specific areas of this information. Essential to such programs is the ability of the system to generate grammatically correct sentences and to establish linkages between words, ideas, and associations with other ideas. Research has shown that whereas the logic of language structure-its syntax-submits to programming, the problem of meaning, or semantics, lies far deeper, in the direction of true AI.

Linear Programming, mathematical and operations-research technique, used in administrative and economic planning to maximize the linear functions of a large number of variables, subject to certain constraints. The development of high-speed electronic computers and data-processing techniques has brought about many recent advances in linear programming, and the technique is now widely used in industrial and military operations. Linear programming is basically used to find a set of values, chosen from a prescribed set of numbers, that will maximize or minimize a given polynomial form and this is illustrated by the finished; the manufacturer knows that as many articles as are produced can be sold.

Process definitions are high level descriptions instead of rigid workflows : Processes can only be defined up to a certain level of detail, and it is difficult to provide low level work instructions or to automate decisions. Because they cannot be formalised in detail, process simulation is rarely possible. Decisions are highly subjective and too complex to be expressed in a formal language, as they are taken based on intuition and not on rigid business rules.

Here are the types of evidence you can use: Images ; A photo is often a great way to show a point. You can use a photo in three ways: * Literally: If you're talking about a piece of equipment, show a photo of it rather than describe its specifications in bulleted text. You can use callouts that point to the various features and label them. * Metaphorically: Sometimes a point you're making is a concept, rather than a fact. For example, you may be talking about tough times ahead, so you could show a photo of a rocky road or a steep staircase. * Schematically: If you're talking about a process, you can show it with a diagram or add arrows to point out parts of a photo.

Tables : When your data doesn't clearly show a trend, use a table. You may have this data in Excel, and can even link to the Excel file. Quotations : Quotes are very powerful when they come from authorities or well-known individuals. In a persuasive presentation, you can use testimonials from other customers, for example. Stories : Stories are powerful when they support your message. They can be personal, related to current events, examples from other customers, and so on. They can be full-blown situations, or simple examples. Collect stories as you hear them and keep them in a file for use later.

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