6 matches found for 'dynamic programming'

... 0, float('inf'))
return result
Solution (Optimized)
An optimization is to use **dynamic programming**, as the previous solution will repeatedly visit blocks that were visited before.

... read off of the cache to save some performance.
A better optimization than the former is to use **dynamic programming** -- that is, a bottom-up solution. In this optimization, instead of opting for recursion, we use a 2D array to pre-compute values, and use the recurrence relation formula above as the basis to populate the entire 2D array.

... the Latin word memorandum, meaning "to be remembered".
We can use memoization, or alternatively, **dynamic programming**, to make our algorithm faster.
Basically, we are going to store the running total values into a hash table as we visit each node in the tree.

... the string input, contains only digits and may contain leading zero(s).
Approach
This is a **dynamic programming** problem because the results of a previously decoded subproblem can contribute to solve the current subproblem.

... picked for all of the previous steps remain the same.
Greedy algorithms are not the same as **dynamic programming**, simply because in **dynamic programming**, you may re-visit previous steps in order to build the most optimal global answer.

Welcome
This page contains solutions to common interview problems that may be encountered.
Arrays
Longest Substring Without Repeating Characters
Rotate a 2D Matrix
Buy/Sell Two Stocks
Merge Intervals
Next Permutation
Random Permutation
Replace all occurrences of a space with a string
Linked Lists
Reversing sublists of singly linked lists
Cycles in singly linked lists
Overlapping singly linked lists
Merging two sorted singly linked lists
Merge k sorted lists
Recursion
Counting the path of sums
Money Denominations
Phone Number Mnemonics
Unique Permutation
**Dynamic Programming**
Perfect Squares
Find the Maximum Min Path
Binary Trees
Tree Symmetry
Iterative In-Order Traversal of a Binary Tree
Construct a Binary Tree from Pre-Order Traversal and In-Order Traversal
BST
Validate a BST
Binary Heaps
Merge k sorted lists
Graphs
Find a path in a maze from start to finish
Flip colors in a matrix
Search
Search in a rotated sorted array
Find the Duplicate Number
Greedy Algorithms
Queue Reconstruction By Height
Trie
Build a Trie in Python
Invariant
Compute the max.