sorting and searching—24/2/2025
A lot of these problems I'd seen before but this is good practice anyway. This really is a great problem set. After being stuck on implementation details, I took less time banging my head against the wall and just looked at the solution.
- distinct numbers: unordered classes are exploitable and nearly always tle. Keep it simple, use a map or PBDS.
- apartments: distracted working on this during class but figured it out. prove statements and use descriptive variable names.
- ferris wheel: leetcode copy from people fitting in boats. Can't say much because I already did it.
- concert tickets: totally used PBDS, which is most likely way overkill. if it works, it works.
- restaurant customers: already seen it (line sweep)
- movie festival: already seen it but improve greedy/exchange arguments
- missing coin sum: I still don't get this. Write it out.
- collecting numbers ii: I had the exactly correct idea but I thought it was too complex. Practice will improve me developing my better sense of this. Still, I didn't completely understand my idea, which lowered my confidence.
more cses—22/2/2025
- gray code: Missed the pattern + gave up too late
- towers of hanoi: Recursive grasp is limp—missed the idea. Math/proof grasp too—still don't understand how its \(2^n\).
- apple division: I got distracted by the idea that it was NP-hard. Even when Sam Altman told me it was DP, I failed to simplify it to "add every element either to one or the other set".
- digit queries: got the idea + time complexity quickly, but the math-based implementation is weak. Jumped into the code before outlining a strict plan.
cses—21/2/2025
Everyone recommends CSES so I started with it, doing the first 8 problems.
- weird algorithm: Trivial, but I forgot to print 1 at the end. Return the exactly correct answer.
- missing number : N/A
- repetitions : Use invariants.
-
increasing array : Run through one iteration of the algorithm. Here, I
erroneously added
x - lastto a quantity, after manipulatingx. -
permutations: I'd seen this problem before yet struggled.
Fully understand the problem constraints. In this case,
While I understood the definition of a permissible permutation,
I didn't fully internalize that you could place number
wherever you want. Instead, I was locked in on placing
some
xati, i + 2, i + 4, .... Further, the fact that I didn't immediately recognize this solution means I need to improve at upsolving and reviewing problems. - permutations: Absolutely disastrous. I continually just f*dged with the offsets I was adding to my strategy until I happened to get the answer right. Don't guess. Also, don't be lazy—if an algorithm works, focus, write it out, and enjoy being correct.
- two knights: Required 2 hints from Sam Altman. git gud at combinatorics. Use the paradigm "count good, remove bad." Lock in less on counting specifics—instead, consider what objects mean in aggregate. In this case, a \(2\times3\) grid represents an "area" of attack, contributing 2 bad knight pairs. This is much easier to digest then attempting to remove overcounting per-knight. Fundamentally, the problem involves placing 2 knights, so breaking it down 2 knights at a time is the most intuitive take.
- two sets: Don't lock in on one approach. Here, this is dp. The fact that I knew the idea of partitioning the first \(n\) numbers into two groups of size \(\frac{n(n+1)}{4}\) but failed to recognize the greedy approach means I didn't grasp the fundamental arithmetic of the problem, nor the greedy idea: every number must go into a set. If you add the largest number possible to set 1 to not exceed the target, this number can always be formed in the other set by choosing \(1\) and \(x-1\). git gud at greedy.
938 (div. 3)—15/2/2025
What would've been my best contest. Unfortunately, CodeForces decided to go down for TREE[3] centuries, which absolutely ruined my groove in the contest and terminated my virtual. No excuses, though, as I set a timer and finished up later.
A
Brute-forced it but it still took me a few minutes.
- Read (and exploit) problem constraints
- Go back and derive the linear optimization (choosing the one with better marginal utility)
- If you have a (simple enough) solution, just go with it.
B
Easily recognized how to form the matrix (i.e. smallest element first with positive integers \(c,d\)) but tripped up on the implementation.
-
Flesh out the steps before coding (i.e. walk through iterations
in head, transitions, edge cases on the rows and columns, i.e.
checking if
i==n-1) especially on implementation-heavy problems
C
Did a horrific (but correct) binary search solution. Tripped up by
specifics of std::{upper,lower}_bound regardless.
Technically, generating the prefix and postfix arrays takes two
passes and two binary searches to find the answer but this is
still more inefficient than the trivial linear scan.
- THE INT OVERFLOW INCIDENT
- Deepen understanding of binary search & STL functions to the point that it is second nature
- Consider simple solutions first.
D
Instantly recognized sliding window but struggled with minor details (i.e. keeping track of match count) by rushing to the solution.
- Problem statement took a long time to grasp. Look at examples and just read through slower (don't rush!)
- Sliding window grasp isn't rigorous—improve this later
- When you don't remember 100% of how an algorithm works, mentally walk through a few iterations
- Improve PBDS API familiarity (practice)
E
I had mentally tapped out by this point (I submitted a TLE \(O(n^2k)\) solution without using my brain). I solved F first, then took a look at G before coming back to E, robbing me of 10 minutes that could've been the difference between another solve.
- You're not like that. Solve problems in order (most of the time, although skipping to F first was a wise decision).
- Consider ideas fully before dropping them. I considered the difference array, then discarded it, erroneously believing a boolean was sufficient and completely forgetting that the concept of ranges complicates flipping.
- Formalize constraints more clearly to help form a solution. For example, the idea that flipping things twice makes no difference, permitting the use of a boolean difference array.
- Prove correctness. I didn't prove that iterating left to right, toggling a range of k actually would always give a correct answer.
F
Had the solution quickly but overcomplicated the implementation. Walked through the examples and took my time.
- Failed to formalize the answer to the problem. I noticed patterns but should've strictly defined the following rule: "Every even count of a number contributes one to the score. Further, one triple of 1, 2, 3 also contributes one." Ultimately, I ended up submitting something I wasn't certain would be correct.
G
Wasted time believing this was primitive DP, when it totally wasn't.
- You're not that guy (yet >:))
- Prove optimal substructure and overlapping subproblems before using DP & walk through the test cases. In this case, test case 3 immediately disproves dp.
the beginning—12/2/2025
This marks the (true) beginning of my competitive programming journey. By "true" I mean intentional, focused, daily practice. Driven by my admiration for competitive programmers, love of challenge, and desire for a decent new-grad job, I'm excited to start putting in the work.
This webpage will be an archive of everything related to this process, including my practice strategies, setup, shortcomings, logs, and more. For now, I'll be practicing on CodeForces (account sigill) and CSES, using the CP Handbook and browsing by related problem tags with ever-increasing difficulty.