Convert the following program from machine language into arm assembly language. the numbers on the left are the instruction addresses in memory, and the numbers on the right give the instruction at that address. then reverse engineer a high-level program that would compile into this assembly language routine and write it. explain in words what the program does. r0 and r1 are the input, and they initially contain positive numbers, a and b. at the end of the program, r0 is the output.0x8008 0xe3a02x800c 0xe1a030010x8010 0xe151x8014 0x8a20x8018 0xe28220010x801c 0xe08110030x8020 0xeaa0x8024 0xe1a2

Some of your friends have gotten into the burgeoning field of time-series data mining, in which one looks for patterns in sequences of events that occur over time. purchases at stock exchanges"what's being bought" are one source of data with a natural ordering in time. given a long sequence s of such events, your friends want an efficient way to detect certain "patterns" in them"for example, they may want to know if the four events buy yahoo, buy ebay, buy yahoo, buy oracle occur in this sequence s, in order but not necessarily consecutively. they begin with a collection of possible events (e.g., the possible transactions) and a sequence s of n of these events. a given event may occur multiple times in s (e.g., yahoo stock may be bought many times in a single sequence s). we will say that a sequence s is a subsequence of s if there is a way to delete certain of the events from s so that the remaining events, in order, are equal to the sequence s . so, for example, the sequence of four events above is a subsequence of the sequence buy amazon, buy yahoo, buy ebay, buy yahoo, buy yahoo, buy oracle their goal is to be able to dream up short sequences and quickly detect whether they are subsequences of s. so this is the problem they pose to you: give an algorithm that takes two sequences of events"s of length m and s of length n, each possibly containing an event more than once"and decides in time o(m + n) whether s is a subsequence of s.

What are compression artifacts? 1) visible defects in the picture caused by the nature of the compression algorithm. 2) numbers that tell a web server how much to compress a picture for faster transmission. 3) invisible defects in the picture preserved by lossless compression. 4) numbers that tell a photo editing program how much to compress a picture for faster transmission.

Acompany is hiring professionals for web designing. the firm is small with few resources. they want employees who possess problem-solving skills and can independently carry out responsibilities. which kind of employee should they select?