Learn how to solve the Non-Overlapping Intervals coding problem to prepare for your next technical interview!

"Merge Intervals" is one of those classic algorithm problems that shows up frequently in technical interviews. It's a great test of your...

The "Jump Game" question is a popular one for interviews because it tests your ability to think greedily and work with dynamic movement through an array. It's a great warm-up for range-based greedy logic and helps build intuition for reachability problems, concepts that show up often in competitive coding and systems design.

The "Gas Station" problem is one of those deceptively simple problems that really tests your understanding of greedy strategies and circular arrays. It shows up frequently in interviews because it blends math, algorithmic reasoning, and a need for linear-time optimization. Whether you're optimizing a delivery route or designing a resource allocation system, this kind of thinking comes in handy.

"Candy" is one of those deceptively simple problems that tests your ability to think through constraints and find a clean, efficient strategy. The "Candy" problem is a classic greedy algorithm challenge often asked in interviews. It tests whether you can distribute limited resources while meeting strict conditions on relative ranking — something that comes up surprisingly often in real-world systems.

"Assign Cookies" is a problem that is a simple yet elegant introduction to greedy algorithms. It asks us to match two lists - one representing the greed of children and the other representing cookie sizes - in a way that maximizes happiness. It’s a great warm-up to practice sorting and thinking about matching strategies in real-world-like scenarios.

The Minimum Size Subarray Sum problem is a great example of using the sliding window technique to solve a real-world scenario - finding the smallest set of contiguous actions or values that meet a threshold. It helps build your skills with optimizing time and space over brute-force solutions and comes up frequently in interviews at all levels.

The Longest Substring Without Repeating Characters problem is one of those warm-up problems that seems deceptively simple but teaches you a ton about sliding window techniques and string manipulation. It shows up frequently in interviews and also mimics real-world cases like processing tokens or user input where uniqueness matters.

Determining the maximum water a container can hold between vertical lines is foundational in graphics rendering, fluid simulations, and two-pointer optimizations. The “Container With Most Water” problem challenges you to squeeze the best area in O(n) time.

Reverse Polish Notation (RPN), also known as postfix notation, is a useful format for calculators and expression evaluation because it...

Maintaining a stack that can return its minimum value in constant time is a neat warm‑up that mirrors real‑world needs like tracking the...

Building a queue out of stacks is a classic exercise in adapting one data structure to mimic another. It’s not only a great warm‑up for...

Checking whether a string of parentheses is valid is one of the most common warm‑ups in interviews. It’s directly applicable to parsing...

Finding the intersection node of two linked lists is like spotting the shared checkpoint in two runners’ paths—useful for debugging...

Adding two numbers digit by digit in reverse order is a great warm‑up for handling arbitrary‑precision arithmetic in systems that store...

Checking whether a linked list reads the same forwards and backwards is a great warm‑up that mirrors real‑world tasks like validating...

Removing the Nth node from the end of a linked list is a perfect warm-up for real-world tasks like trimming logs, pruning history...

Finding not just whether a linked list has a cycle but exactly where that cycle begins is a real-world need whenever you’re dealing with...

Detecting a cycle in a linked list is a classic problem that comes up when you need to guard against infinite loops—whether you’re...

Merging two sorted linked lists is like merging two sorted streams of data—think combining two user event logs in chronological order....