Answer:
Structured programming also known as Modular programming in which the program is made as a single structure.The execution is instruction by instruction.It mainly focuses on improving the quality,clarity and development time of a computer program.
The top-down approach works by breaking a complex algorithm into smaller parts called modules. The modules keep breaking until there is no space left for breaking them without hindering the originality.The breaking of the modules is prohibited after achieving a certain level of modularity . C language uses this approach.
Bottom up works exactly opposite of how the top-down approach works.This approach works in the most elemental level of solving a problem and going up with combination of several parts of the solution to achieve required results.
<span>public void myMethod(int w, int y, int z) {
</span>int a, b, c, d, e, f, g, h, i, j, k, l;
<span>a = w * z;
</span>b = w * z + y;
c = w * -z;
d = w * --z + y++;
e = w * z-- + ++y<span> ;
</span>f = w + z * y;
g = w – y + z;
h = (w + y) * z;
i = y / w;
j = y / z;
k = w % y;
<span>l = y % w;
</span>System.out.println( "%d %d %d %d %d %d %d %d %d %d %d %d", a,b,c,d,e,f,g,h,i,j,k);
}
To use
myMethod(2, 7, 12);
Answer:
LinkedIn has a very smart algorithm, and it has a very strict policy against spammers. Back in 2014, it deleted millions of accounts that were causing spam on LinkedIn.
Spam occurs:
1. When you send bulk of connect requests in a short time
2. When you send irrelevant messages to prospects
3. When you Perform overactivity
4. When you use LinkedIn automation tools
5. When you send spammy and sales-y messages
All these actions cause spam on LinkedIn, and it immediately takes action against you by restricting your account temporarily or permanently.
Answer:
a. 0.01
b. 0.001
c. The identification field of the packet fragment can be used to uniquely identify and collate the fragments lost in transmission.
Explanation:
The probability of losing a packet is 10% or 0.1, so the probability of losing the packet twice during transmission;
= 0.1 x 0.1 = 0.01
When any fragments have been part of the transmission, the probability of the packet is dependent on the fragments;
= 0.01 x 0.1 = 0.001
The identification field is a unique 16-bit value assigned to an IPv4 packet, when a packet is fragmented for transmission, its field is used to collate the unique fragments in the packet.
