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PRACTICAL CFD

Azore^® CFD

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Primary Applications:

Industrial flows
Aerodynamics
Thermal mixing
Conjugate heat transfer
Gas species mixing

Windows, Linux, or Mac OS
HPC parallel processing

Solver Capabilities

Incompressible fluid treatment
Steady state
Continuity/Momentum coupling
Solution of the energy equation
Species transport with an unlimited number of species
K-epsilon turbulence model
Standard wall function treatment
Variable fluid properties
Thin surface porous resistance
Volumetric porous resistance
Multiple reference frame for rotating machinery
Thin surface heat transfer

Flexible Pre/Post Processing

Arbitrary polyhedral mesh topology with the following import formats supported:

Trelis™
ANSYS® Meshing™
Pointwise®
TrueGrid®
Spider
CUBIT
CastNet

Scalar fields
Vector fields
Pathlines
Iso-surfaces
Animations
Force and moment reports
Residual reports
Export for external post-processing

The 'Fast Lane' Answer

Slow down a second. Before we go any further, we need to determine two things. First, do you mean 'open source' or 'free?' Second, when you say 'address scrubber' are you referring to parsing the address? Or do you mean standardizing it? The distinctions are important, because it changes the answers you need.

You know what? We'll just answer everything.

Open Source vs. Free: Open source means that the source code is visible to the public. Free means there's no payment required to use it.

Parsing vs. Standardization: Parsing an address means breaking it into smaller chunks and labeling those chunks for easier processing. Standardizing means reformatting an address so that it looks the way the USPS wants it to look. The difference is a fine line, though, and most who do one also do the other. Some, however, go a step further and offer address validation, a process that incorporates the other two.

Below is a better explanation of the differences, and how knowing what to ask for helps you find what you want.

The 'Scenic Route' Answer

Open Source vs. Free

Open Source

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Open source means that the source code of a program is visible to the public, and that it can be reviewed and edited by anyone—that is, anyone willing to adhere to the terms of use. (We're developers, not barbarians.) It means that the creators of the code are willing to hear your criticism and consider your input. It's the whole 'sharing is caring' philosophy applied to computer systems.

The open dialog that exists between developers and users in an open-source format is unique—by opening the source code to the public, developers are offering users the chance to participate in development. They invite everyone to be the developers of the program, to participate in the creative process, and to help make the code (and by association the program as a whole) better.

Open source, however, does not automatically indicate 'free.' Unix, for example, is free to use in most forms, but there are other open-source offerings that are not.

Free

A word that here means: without cost, requires no fee to participate/use, charges you nothing, etc. Free is when you receive a gift for your birthday, or find a five dollar bill on the ground. But free doesn't always offer freedom. Sometimes it resembles a borrowing system: 'Yeah, you can use my stuff, but keep it the way I had it.' Adobe Acrobat reader is free to use. But it's also proprietary software (i.e., not open source), meaning you can't pop the hood and tinker with the engine. Adobe keeps that locked down tight.

So keep in mind what you're looking for. Are you wanting to pay nothing? Or do you want a big sandbox—open to any sort of creation or destruction you wish to bestow upon it?

Address Parsing vs. Address Standardization

Parsing

Parsing is complicated. It tries to determine the intent of content. It has many applications, not just regarding the processing of an address. At its core it's an attempt to have a computer decipher the meaning of human communication. Normally computers work best when we speak to them in their language; parsing is a computer trying to speak ours.

Time to get down to brass tacks: when a program parses input, it tries to break it into pieces and categorize it. For instance, if someone were to take an address—Spiderman's house, maybe, 20 Ingram St. Queens, New York—and parse it, they would run it through a program that has to decide for itself what portion of the address is the city, which part is the street, and which part is the house number. Then it would label it: '20' is the house number, 'Ingram' is the street, 'Queens' is the city, and so forth.

That would be a pretty simple process (any Steinberg nuendo 3 free download for windows. parsing would be straightforward, really), if we as humans weren't so fond of ambiguity and repetition.

Take the above example again. As a human, it's pretty easy to assume that the city is 'Queens, New York.' Queens is pretty famous, and there's no 'Saint Queens,' New York. So it's an easy call.

But not everywhere is like that.

Take Helena, California. There are two of them: Helena and St. Helena. So to illustrate the problem here, let's relocate Spidey to the west coast. That way, when the computer goes to parse 20 Ingram St. Helena, California, it has no way of knowing if it's Ingram St. in Helena, California, or if it's Ingram whatever in St. Helena, California. That leaves the computer to try to determine intent, and hope for the best. This is a problem inherent in using regular expressions (aka: regex) for parsing addresses.

Now as hard and as complicated as that is, it still has value. Going on the presumption that the parser accurately estimated the intent of the entry, it can then run it through a secondary process, as done in industries like address verification/validation. But more on that later.

So if you're looking to have your address broken down and identified, you're looking for parsing. It's a complicated method, but it has its payoffs.

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Standardization

Standardization is when an address is reformatted to match t

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