DSA · Theory

Knapsack Problem

Theory

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Knapsack Problem

If you can teach Knapsack Problem using a Knapsack Problem dry-run, you know it. If you only know the heading, you don’t.

Do Knapsack Problem once by hand. one Knapsack Problem step Meera can write from memory. Change one input. Say the new result out loud.

Without Knapsack Problem, lab hour gets messy and a Knapsack Problem dry-run is hard to trust.

Knapsack Problem shows up in lab hour. Name a Knapsack Problem dry-run, not “a real-world scenario”.

Don’t do this with Knapsack Problem: copy-pasting Knapsack Problem without a dry-run. Interviewers spot it in ten seconds.

After Knapsack Problem, Meera should still remember copy-pasting Knapsack Problem without a dry-run.

Viva for Knapsack Problem: what it is → one Knapsack Problem step Meera can write from memory → the mistake (copy-pasting Knapsack Problem without a dry-run).

Exam tip

Board: a Knapsack Problem dry-run. Dry-run Knapsack Problem. Name the trap: copy-pasting Knapsack Problem without a dry-run.

Example

def fib(n):
    dp = [0, 1] + [0] * max(0, n - 1)
    for i in range(2, n + 1):
        dp[i] = dp[i - 1] + dp[i - 2]
    return dp[n]

print(fib(10))

Knapsack Problem — dP stores subproblem answers so you never recompute them.

Short notes

DefKnapsack Problem — Meera uses it for a Knapsack Problem dry-run in lab hour.
RuleKnapsack Problem → one Knapsack Problem step Meera can write from memory.
RememberKnapsack Problem + time vs memory (lab hour).
UseKnapsack Problem in lab hour (a Knapsack Problem dry-run).
TrapKnapsack Problem — copy-pasting Knapsack Problem without a dry-run.
ExKnapsack Problem → a Knapsack Problem dry-run.

DSA · Theory

Knapsack Problem

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Theory

456/810

Knapsack Problem

If you can teach Knapsack Problem using a Knapsack Problem dry-run, you know it. If you only know the heading, you don’t.

Do Knapsack Problem once by hand. one Knapsack Problem step Meera can write from memory. Change one input. Say the new result out loud.

Without Knapsack Problem, lab hour gets messy and a Knapsack Problem dry-run is hard to trust.

Knapsack Problem shows up in lab hour. Name a Knapsack Problem dry-run, not “a real-world scenario”.

Don’t do this with Knapsack Problem: copy-pasting Knapsack Problem without a dry-run. Interviewers spot it in ten seconds.

After Knapsack Problem, Meera should still remember copy-pasting Knapsack Problem without a dry-run.

Viva for Knapsack Problem: what it is → one Knapsack Problem step Meera can write from memory → the mistake (copy-pasting Knapsack Problem without a dry-run).

Exam tip

Board: a Knapsack Problem dry-run. Dry-run Knapsack Problem. Name the trap: copy-pasting Knapsack Problem without a dry-run.

Example

def fib(n):
    dp = [0, 1] + [0] * max(0, n - 1)
    for i in range(2, n + 1):
        dp[i] = dp[i - 1] + dp[i - 2]
    return dp[n]

print(fib(10))

Knapsack Problem — dP stores subproblem answers so you never recompute them.

Short notes

DefKnapsack Problem — Meera uses it for a Knapsack Problem dry-run in lab hour.
RuleKnapsack Problem → one Knapsack Problem step Meera can write from memory.
RememberKnapsack Problem + time vs memory (lab hour).
UseKnapsack Problem in lab hour (a Knapsack Problem dry-run).
TrapKnapsack Problem — copy-pasting Knapsack Problem without a dry-run.
ExKnapsack Problem → a Knapsack Problem dry-run.

Knapsack Problem

Example

Short notes

Questions

Knapsack Problem

Example

Short notes

Questions