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Give brief summary of common aspects found in spreadsheets
- It's made up of columns and rows; every row is identified by a number and every column is identified with a letter (or letters)
- Every cell is identified by its column id and row id for example A4, ET300 etc.
- A cell may contain a label (text entry such as MEAN VALUE) or a value (that can be a number, a formula, a date, currency, or result of a calculation)
- Cursor identifies the current cell selected; it's possible to click on to a cell and a "+" sign appears in the bottom right hand corner; by dragging formula down it's possible to replicate it in other cells
Coupling and cohesion can be shown using a:- Dependence matrix
Canonical Genetic Algorithm: In such a scenario with all search techniques there one of the first questions to ask along with GAs is how to define a search space that is actua
How the transaction that are programmed by the user can be protected? By executing an authority check.
Convert the binary number 10110 to Gray code ? Ans. For changing binary number 10110 in its equivalent Gray code the rules are as, the left most bit that is MSB in Gray code is 1
Q. Editor - Tools necessary for assembly language programming? The editor is a program which allows the user to enter and modify as well as store a group of instructions or tex
Q. What is Multiple Interrupt Lines? Multiple Interrupt Lines: Simplest solution to problems above is to provide multiple interrupt lines that will result in immediate recognit
What are the techniques of Data Collection It can be either automatic or manual. Manual techniques can include: - Keypads/Keyboards to type in data - touch screens to s
How do you populate data into a multiple line field? To populate data into a multiple line field, an index is added to the field name to show which line is to be populated by t
What are the different phases of consumer mercantile model? There are three different phase of consumer mercantile model like listed as in below: • Pre-purchase interaction
Learning Weights in Perceptrons In detail we will look at the learning method for weights in multi-layer networks next chapter. The following description of learning in percept
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