# Moderate Problem ```Moderate Problem
Problem
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Write a function to swap a number in place without
temporary variables.
Hints
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This is a classic interview problem.
If you haven’t heard this problem before, you can
approach it by taking the difference between a and b:
Problem
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Given an integer between 0 and 999,999, print an English
phrase that describes the integer
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eg, “One Thousand, Two Hundred and Thirty Four”
Hints
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This is not an especially challenging problem, but it is a
long and tedious one.
he / she will be interested in how you approach the
problem.
Solution
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public static String numtostring(int num) {
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}
String[] wordarr1 = {“”,”One ”, “Two ”, “Three ”, “Four ”, “Five ”, “Six ”, “Seven ”,
“Eight ”,”Nine ”};
String[] wordarr11 = {“”, “Eleven ”, “Twelve ”, “Thirteen ”, “Fourteen ”, “Fifteen ”,
“Sixteen ”, “Seventeen ”, “Eighteen ”, “Nineteen ”};
String[] wordarr10 = {“”,”Ten ”, “Twenty ”, “Thirty ”, “Forty ”, “Fifty ”, “Sixty ”,
“Seventy ”, “Eighty ”, “Ninety “};
String[] wordarr100 = {“”, “Hundred ”, “Thousand ”};
// Count number of digits in num.
Init results
If num is zero {do something }
If num is between 0- 9
if num is between 10-99
If num is between 100-999
If num is &gt; than 999
Problem
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You are given an array of integers (both positive and
negative).Find the continuous sequence with the largest
sum.Return the sum.
EXAMPLE
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Input: {2, -8, 3, -2, 4, -10}
Output: 5 (i.e., {3, -2, 4} )
hints
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A simple linear algorithm will work by keeping track of
the current subsequence sum. If that sum ever drops
below zero, that subsequence will not contribute to the
subsequent maximal subsequence since it would reduce it
MinMax is one of the positive number
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In previous example, minMax=4
Problem
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Design an algorithm to find all pairs of integers within an
array which sum to a specified value.
One easy and (time) efficient solution involves a hash map
from integers to integers. This algorithm works by
iterating through the array. On each element x, look up
sum - x in the hash table and, if it exists, print (x, sum x).Add x to the hash table, and go to the next element.
```