Here is the Java code to find the shortest concatenation of elements of Array wordBank to construct String Terget, using Dynamic Programming. Example: Input: wordBank = {“ab”, “c”, “d”, “abc”, “ad”}, Target = “abcd”. Output: {“abc”, “d”}. To do this, I have stored the combination of elements as an ArrayList in a HashMap. However, the hashMap does not store the
Tag: dynamic-programming
Maximum number of tasks to be performed
I’m stucking in a problem. I know dp can be applied here, but not getting it. Consider a part of the positive number line starting at 0 and ending at 10^9. You start at 0 and there are N tasks can be performed. The ith task is at l[i] and requires t[i] time to be performed. To perform ith task,
dp[!t][val] for skipping the parts from array
consider the following snippet in cpp. This is taken from dynamic programming tutorial . It is mainly for space optimized knapsack problem. This snippet is taken from this tutorial. I want to convert this technique into java. But java does not support this type of integer manipulation. Please can anyone explain me how it works and appropriate conversion to java
Fibonacci Memoized/Dynamic Programming in Java
So this is some code to calculate the Fibonacci sequence with memoization. What confuses me is when we check if memo[i]==0. I understand that Java arrays are initialized to zero and thus if memo[i] == 0 this may mean that the computation for memo[i] has not yet occured. However, one of the return values for this fibonacci function is 0.
Count total subsequences whose sum is divisible by k
I am trying to write a DP solution for the problem: count total number of sub-sequences possible of an array whose elements’ sum is divisible by k. I have written the following solution. But it is not giving the correct result. Like in the following code snippet, the array is {1, 2, 1} and k = 3. So expected total