Quick sort is a space-optimised version of \_\_\_\_
Quick sort is a space-optimised version of \_\_\_\_  

  

(a) Bubble sort  

  

(b) Selection sort  

  

(c) Insertion sort  

  

(d) Binary tree sort  

  

The question was posed to me in class test.  

  

My question is from Quicksort in portion Sorting of Data Structures & Algorithms II
The correct option is (d) Binary tree sort  

  

The explanation is: Quick sort is a space-optimised version of the binary tree sort. In binary sort tree, the elements are inserted sequentially into the binary search tree and Quick sort organises elements into a tree that is implied by the recursive calls.
?solution:

step 1
in this problem we need to clarify why shaker sort is efficient for sorting lists that are already in close to the correct order.
step 2
shaker sort is a sorting algorithm which compares pairs of adjacent elements, interchanging them if they are not in order. it moves one element at a time till it has reached its proper place in the ordered list by comparing element adjacent to it and also it sorts elements in both directions as it passes through the list. 
for a list that is already close to the correct order, shaker sort will only find the elements that are not in correct place and then put these elements in its correct position. since there are going to be a few elements which are not in their correct position therefore it will take less time for shaker sort to correct the order of the elements. hierarchical classification is a system of classifying organisms in different hierarchical levels. it includes the sequence of categories in a decreasing or increasing order from kingdom to species and vice versa. the domain is the highest rank in the hierarchy followed by division or kingdom, phylum, class, order, family, genus, and species. species is the lowest rank in the hierarchy. the species is the basic unit of biological classification and a taxonomic rank. these are the large number of physically similar organisms which can exchange genetic information. 10.1 sequences polynomials: easy to evaluate, integrate, diﬀerentiate general functions: -a sequence is a list of #s -sequences are written as: -many series correspond to functions formally, the sequence converges to l if for every positive number , there corresponds an integer n such that for all If your loading the items into array list then sort the array to group the items. for your insertion and bubble sort, you are returning the comparison value, but you are not assinging it to anything when that value is returned. In your main



```
insertionSort(copy_integers_1);
```

Change that to:



```
int compInsertion = 0;
...
compInsertion = insertionSort(copy_integers_1);
```

and do the same with your bubble sort.



It actually would work the way it is, but the second time you call your functions (in your cout statements in main) the arrays are already sorted.



As for your error, try this



```
int *L = new int[Left_Size];
int *R = new int[Right_Size];
```

Also, you probably don't need to declare Left\_Size or Right\_Size as const. direction: a word and number arrangement machine when given an input line of word and numbers rearranges them following a particular rule in each step. the following is an illustration of input and rearrangement. input: politics 61 policy 116 partner 93 role 45 clear 27 38 point step i: role politics policy 116 partner 93 45 clear 27 38 point 61 step ii: role clear politics policy partner 93 45 27 38 point 116 61 step iii: role clear partner politics policy 93 45 38 point 27 116 61 step iv: role clear partner politics policy 93 38 point 45 27 116 61 step v: role clear partner politics point policy 93 38 45 27 116 61 step v, is the last step of the above arrangement as the intended arrangement is obtained. as per the rule followed in the given steps find out the appropriate steps for the given input. input: energy 54 78 place 23 issue 211 145 flat rent taxi 17in step iii, what is the difference between fifth element from left and second element from right? general systems thursday, september 29, 2016 3:50 pm a fruit store sell two types of fruit, apples and oranges. apples are $2 and oranges are $3.today 50 fruit was sold and the store made $110. 110 = 2▯ + 3▯ 50 = ▯ + ▯ ▯ = 40 ▯ = 10 general ▯▯ ▯+ ▯ ▯▯ ▯⋯+ ▯ ▯ = ▯ ▯ a linear equation is an equation in the form of: • x's are variables and a's are constants. • solution set for a linear equation is the set of all solutions. • set of linear equations where a commonsolution is desired is called a system of linear equations. graphs • 1 variables is a point • 2 variables is a line • 3 variables is a plane • 4+ variables is a hyperplane examples of systems 2 equations, 2 unknowns • no solutions • one Yes, there is. See:  

  

<https://www.wikitree.com/wiki/Template:Delete_Category>  

  

If you tag this question with "Categorization", someone with the proper authority will soon pick it up. **IMPORTANT NOTE:** You have to **sort your data** first.







The part I didn't get is that in the example construction



```
groups = []
uniquekeys = []
for k, g in groupby(data, keyfunc):
   groups.append(list(g))    # Store group iterator as a list
   uniquekeys.append(k)

```

`k` is the current grouping key, and `g` is an iterator that you can use to iterate over the group defined by that grouping key. In other words, the `groupby` iterator itself returns iterators.


Here's an example of that, using clearer variable names:



```
from itertools import groupby

things = [("animal", "bear"), ("animal", "duck"), ("plant", "cactus"), ("vehicle", "speed boat"), ("vehicle", "school bus")]

for key, group in groupby(things, lambda x: x[0]):
    for thing in group:
        print("A %s is a %s." % (thing[1], key))
    print("")
    

```

This will give you the output:



> 
> A bear is a animal.  
> 
> A duck is a animal.
> 
> 
> A cactus is a plant.
> 
> 
> A speed boat is a vehicle.  
> 
> A school bus is a vehicle.
> 
> 
> 


In this example, `things` is a list of tuples where the first item in each tuple is the group the second item belongs to.


The `groupby()` function takes two arguments: (1) the data to group and (2) the function to group it with.


Here, `lambda x: x[0]` tells `groupby()` to use the first item in each tuple as the grouping key.


In the above `for` statement, `groupby` returns three (key, group iterator) pairs - once for each unique key. You can use the returned iterator to iterate over each individual item in that group.


Here's a slightly different example with the same data, using a list comprehension:



```
for key, group in groupby(things, lambda x: x[0]):
    listOfThings = " and ".join([thing[1] for thing in group])
    print(key + "s:  " + listOfThings + ".")

```

This will give you the output:



> 
> animals: bear and duck.  
> 
> plants: cactus.  
> 
> vehicles: speed boat and school bus.
> 
> 
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