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Answer:
Console.WriteLine("Format Double: {0:n3}", num); //formatting output with 3 digit decimal point
Explanation:
Following are the program in c#
using System; // namespace
using System.Collections.Generic;
using System.Linq;
using System.Text;
namespace Tasks
{
class Program
2 // program2
{
static void Main(string[] args) // Main function
{
double num = 958254.73789621; // variables
Console.WriteLine("Format Double: {0:n3}", num); //formatting output with 3 digit decimal point
Console.Read();
}
}
}
Output:
Format Double : 958254.737
Here we have declared a variable num of type double which store the value num=958254.73789621. To do format with the double number i used a syntax {0:n3}. This syntax {0:n3}is separated with :(colon) here 0 represent the value before the decimal point that is 958254 and n3 represent the value upto 3 decimal points. Hence this statement give the output with three digit after the decimal point .
Answer:
A linear search is one that scans every record/file until it discovers the value being searched for.
Binary search, on the other hand, is also known as <em>Logarithmic search</em>. It is used to locate the position of a value inside an array that has already been sorted.
The linear search will return the lowest value faster than the binary search when small arrays are involved.
This will only be feasible when the array is sorted prior.
Cheers!
Answer:
Data redundancy.
Explanation:
A database management system (DBMS) can be defined as a collection of software applications that typically enables computer users to create, store, modify, retrieve and manage data or informations in a database. Generally, it allows computer users to efficiently retrieve and manage their data with an appropriate level of security.
A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.
In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.
Data redundancy is the name of situation where the same data is stored unnecessarily at different places.
Simply stated, data redundancy can be defined as a condition which typically involves storing the same data in multiple storage locations. Thus, data redundancy connotes the unnecessary repetition of the same piece of data (informations) either deliberately or for some specific reasons.
