Course overviewTopic 121 / 152
Algorithms • Topic 12 25 min 1-D Dynamic Programming

Word Break

This topic is a practice problem inside the 1-D Dynamic Programming module. The goal is not to memorize the title: reconstruct the problem it solves, the mechanism that makes it work, and the signal that tells you when to use it.

LEARNING LOOPWatch→Read→Inspect→Retrieve→Teach back
Word Break
Week 10–11 · Topic 121 / 152
Article companion· Week 10–11

This topic is a practice problem inside the 1-D Dynamic Programming module. The goal is not to memorize the title: reconstruct the problem it solves, the mechanism that makes it work, and the signal that tells you when to use it.

01

What problem does this solve?

Start from the engineering problem rather than the definition. Word Break exists because a system needs a reliable way to handle a recurring constraint inside 1-D Dynamic Programming. Ask what would become slow, ambiguous, unsafe, or impossible without it.

02

How the mechanism works

Break the idea into observable steps. The useful mental model is: input → transformation → decision or state change → output. Keep each step small enough that you can redraw it from memory. The surrounding module is the context: DP = recursion + memory. Define state, then the decision at each state.

03

When to reach for it

Use nearby concepts as contrasts. In this module, compare Word Break with DP thinking: overlapping subproblems + optimal substructure, Interactive: memoization table filling live, Climbing Stairs. The distinction matters because good engineering choices depend on the constraints, not on memorizing isolated definitions.

DUAL CODING

See the mechanism before you memorize it

One diagram, one causal story, one reconstruction task.

VISUAL RECONSTRUCTION

Word Break — causal map

4 stages
01

Frame

State the problem and the constraints before naming the technique.

02

Transform

Apply the core mechanism of Word Break and track what state changes.

03

Observe

Inspect the artifact, output, invariant, or behavior produced by the mechanism.

04

Transfer

Explain where the same idea appears elsewhere in DSA Patterns.

Trace the mechanism from left to right. On smaller screens, follow the numbered sequence. Then redraw the same flow without looking.
ACTIVE RECONSTRUCTION

Draw the idea yourself

Rebuild the core flow on a real canvas before moving to the worked walkthrough.

SKETCHFLOW

Word Break — practice canvas

Sketch the Word Break mechanism from memory. Label the input, transformation, observation, and transfer.

Practice canvas ready

The canvas loads when you reach this section.

Draw first. Compare second.Touch + mouse friendly
STEP BY STEP

Walk the system

01

Frame

State the problem and the constraints before naming the technique.

02

Transform

Apply the core mechanism of Word Break and track what state changes.

03

Observe

Inspect the artifact, output, invariant, or behavior produced by the mechanism.

04

Transfer

Explain where the same idea appears elsewhere in DSA Patterns.

CONCRETE ARTIFACT

Reconstruction card

Use the card as a generative note, not a summary to copy. Fill it from memory after the explanation.

textcopy → rebuild → modify
TOPIC: Word Break
MODULE: 1-D Dynamic Programming
TYPE: practice problem

PROMPT
What problem does it solve?
What changes step by step?
What evidence proves it worked?
When would you choose something else?
MISCONCEPTIONS

What usually goes wrong

Memorizing Word Break without naming the problem it solves.

Skipping the mechanism and jumping from definition straight to the answer.

Confusing a familiar example with the general rule.

Treating a classroom simplification as a universal production rule.

RETRIEVAL PRACTICE

Close the tab. Rebuild it from memory.

Read the question, answer aloud, then reveal.

What problem is Word Break designed to solve?Reveal answer

It addresses a recurring constraint inside 1-D Dynamic Programming. A strong answer names the input, the core mechanism, and the result rather than repeating the title.

What are the four stages of the mental model?Reveal answer

Frame the problem → transform the input/state → observe the evidence → transfer the idea to a new scenario.

House Robber: state and recurrence?Reveal answer

dp[i] = max money from houses 0..i. dp[i] = max(dp[i−1], dp[i−2] + nums[i]) — skip or rob.

LIS: the O(n log n) trick?Reveal answer

Maintain a 'tails' array of smallest ending values for each subsequence length; binary-search where each number extends or replaces.

FEYNMAN

Teach it back in plain English

Teach House Robber as a sequence of rob/skip decisions where each choice locks the neighbor.

EXAM / INTERVIEW

What a strong answer sounds like

A strong exam or interview answer should connect purpose → mechanism → example → limitation. For Word Break, be ready to reconstruct the process without notes and distinguish it from a nearby concept.

NEXT CONNECTION

Make this idea travel.

Connect it next to: Why pattern-based learning beats grinding • Set up your mistakes log + template notebook • Your spaced revision calendar (Day 1 / 3 / 7 / 21) • Big-O intuition builder: visualize growth rates.

COURSE CONTENTS

Word Break

01How This Journey WorksDay 0 · 4 topics0/4
02Complexity, Arrays & HashingWeek 1–2 · 11 topics0/11
03Two PointersWeek 2–3 · 7 topics0/7
04Sliding WindowWeek 3–4 · 8 topics0/8
05StackWeek 4 · 8 topics0/8
06Binary SearchWeek 5 · 8 topics0/8
07Linked ListWeek 5–6 · 10 topics0/10
08TreesWeek 6–7 · 13 topics0/13
09TriesWeek 7 · 4 topics0/4
10Heap / Priority QueueWeek 8 · 8 topics0/8
11BacktrackingWeek 8–9 · 11 topics0/11
12GraphsWeek 9–10 · 17 topics0/17
131-D Dynamic ProgrammingWeek 10–11 · 14 topics0/14
142-D Dynamic ProgrammingWeek 11–12 · 11 topics0/11
15Greedy, Intervals & BitsWeek 12 · 12 topics0/12
16Mock Interviews & Mixed RevisionWeek 13 · 6 topics0/6