Oracle Interview Questions - Data Structures & Algorithms

Explore the maximum sum subarray problem and Kadane's algorithm, solving for the largest contiguous subarray sum with a Java implementation in O(n) time and O(1) space.

Explore the maximum sum subarray problem and implement Kadane's algorithm in JavaScript to find the largest contiguous subarray sum with linear time and constant space.

Discover Kadane's algorithm for the maximum sum subarray, computing the largest contiguous sum in linear time with constant space, illustrated through practical C++ implementation.

Master the maximum sum subarray problem with Kadane's algorithm, using a simple Python solution that tracks current and maximum sums for contiguous subarrays.

Track the maximum reachable index while iterating the nums array, updating with i + nums[i]; reach the end if max reachable ≥ n-1, otherwise false, demonstrated in Java.

Solve the medium jump game problem in javascript by iterating the nums array, maintaining the maximum reachable index, and returning true if it reaches the last index.

Explore the jump game: determine if you can reach the last index from index zero using nums[i] steps, by tracking the max reachable index while iterating through the array.

Master the jump game by iterating nums, maintaining the maximum reachable index as i plus nums[i], and returning true if you can reach the last index in Python.

Learn how to solve the product of array except self in O(n) time without division using left and right prefix products, demonstrated on an example array.

Solve the product of array except self in JavaScript using left and right product arrays to achieve O(n) time without division.

Learn to compute the product of array elements except the current index in O(n) time without division, using left and right preprocessing arrays, with a C++ solution.

Compute the product of all numbers except the current one in linear time without division by building left and right product arrays and combining them in a Python solution.

Apply two-pointer method to the trapping rain water problem on an elevation map. Compute left and right max for each bar; trap water as min(left, right) minus height in Java.

Explore the trapping rain water problem and its JavaScript solution using a two-pointer approach, computing left and right maxima and trapped water for each bar.

Solve the trapping rain water problem using a two-pointer approach on an elevation map, computing left and right maxima to determine water trapped above each bar in C++.

Apply a two-pointer method to trap rain water on an elevation map by using left and right maxima and the bar height to compute water per bar, via Python solution.

Group anagrams efficiently by using a hash map and sorting strings to form keys, then collect and return lists of anagrams in Java.

Group anagrams by using a hash table, sort each string to create a key, accumulate strings in lists under each key, then output a list of lists.

Learn to group anagrams using a hash table and sorting in C++, mapping sorted letters to word lists and returning a list of anagram groups.

Group anagrams by sorting strings to form a key, store them in a dictionary, and collect each key's list into the final list of lists using Python.

learn the two-pointer and hash table approach to find the longest substring without repeating characters, with a java solution and practical implementation details.

Learn the two-pointer approach with a hash table to find the longest substring without repeating characters in a JavaScript solution, including test case walkthrough and implementation details.

Explore the longest substring without repeating characters using a two-pointer approach and a hash table in C++, with examples.

Master the longest substring without repeating characters using a two-pointer technique and a hash table, with a clear Python solution and practical examples.

Solve the intersection of two linked lists in Java using a two-pointer approach with O(m+n) time and O(1) space, aligning starts and advancing until the intersection node is found.

Learn to find the intersection of two singly linked lists of different sizes with a two-pointer, O(1) memory method that aligns lengths and moves until intersection or null.

Solve the two linked lists intersection problem in C++ with a two-pointer approach that aligns starts by length, achieving O(m+n) time and O(1) space, returning the intersection node or null.

Two-pointer method to find the intersection of two linked lists in Python, running in O(m+n) time with O(1) space, without modifying the list structure.

Detects a cycle in a linked list using the two-pointer hare and tortoise method in Java, handling empty or single-node lists with linear time efficiency.

Detect a cycle in a linked list using the two-pointer hare-and-tortoise method, returning true when a cycle exists and false otherwise, implemented in JavaScript.

Detects cycles in a linked list using the hare and tortoise two-pointer method, handling edge cases and explaining runtime complexity.

Apply the hare and tortoise two-pointer method to detect cycles in a linked list, handle zero or one node edge cases, and deliver a linear-time Python solution.

Explore the valid parentheses problem across six bracket types and learn a stack-based solution that checks balance by pushing openings, matching closings, and returning false when mismatches occur.

Solve the valid parentheses problem with a JavaScript stack approach. Process the string left to right, push opening brackets, pop on matches, and verify the stack is empty.

Evaluate valid parenthesis by using a stack to push openings and pop on matching closings, ensuring the stack is empty at the end in linear time C++.

Solve the valid parentheses problem with a Python stack approach, pushing opening brackets and matching them with closings, ensuring balanced brackets and an empty final stack for balance.