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DSA C#programming~5 mins

Fractional Knapsack Problem in DSA C# - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the main goal of the Fractional Knapsack Problem?
To maximize the total value of items placed in a knapsack with a limited weight capacity, allowing fractions of items to be taken.
Click to reveal answer
beginner
Why can we take fractions of items in the Fractional Knapsack Problem but not in the 0/1 Knapsack Problem?
Because the problem assumes items are divisible, like liquids or materials, so partial amounts can be taken to fill the knapsack optimally.
Click to reveal answer
intermediate
What is the greedy strategy used in the Fractional Knapsack Problem?
Sort items by their value-to-weight ratio in descending order and take as much as possible from the highest ratio items first.
Click to reveal answer
beginner
How do you calculate the value-to-weight ratio of an item?
Divide the item's value by its weight: ratio = value / weight.
Click to reveal answer
intermediate
What is the time complexity of the Fractional Knapsack Problem solution using sorting?
O(n log n), where n is the number of items, due to sorting the items by value-to-weight ratio.
Click to reveal answer
In the Fractional Knapsack Problem, what do you do after sorting items by value-to-weight ratio?
ATake only the first item fully
BTake items fully until the knapsack is full, then take fraction of the next item
CTake items randomly
DTake items with the lowest value first
Which of these is true about the Fractional Knapsack Problem?
AItems can be broken into smaller parts
BItems must be taken whole or not at all
CIt uses dynamic programming
DIt cannot be solved greedily
What is the key difference between Fractional and 0/1 Knapsack Problems?
AFractional allows partial items, 0/1 does not
B0/1 allows partial items, Fractional does not
CBoth allow partial items
DNeither allow partial items
What data structure is commonly used to sort items by value-to-weight ratio?
ALinked list without sorting
BQueue
CStack
DArray or list
If the knapsack capacity is 50 and the next item weight is 30, but only 20 capacity remains, what do you do?
ATake the full item anyway
BSkip the item
CTake 20/30 fraction of the item
DRemove some items already taken
Explain the greedy approach to solving the Fractional Knapsack Problem step-by-step.
Think about how to fill the knapsack with the most valuable parts first.
You got /4 concepts.
    Describe the difference between Fractional Knapsack and 0/1 Knapsack problems and why the greedy method works for one but not the other.
    Focus on item divisibility and algorithm choice.
    You got /3 concepts.

      Practice

      (1/5)
      1. What is the main goal of the Fractional Knapsack Problem?
      easy
      A. Maximize number of items regardless of weight
      B. Maximize total value by taking fractions of items within weight limit
      C. Minimize total weight by selecting whole items only
      D. Select items randomly without considering value or weight

      Solution

      1. Step 1: Understand the problem goal

        The fractional knapsack problem allows taking parts of items to maximize total value within a weight limit.
      2. Step 2: Compare options

        Only Maximize total value by taking fractions of items within weight limit correctly states maximizing total value by taking fractions within weight limit.
      3. Final Answer:

        Maximize total value by taking fractions of items within weight limit -> Option B
      4. Quick Check:

        Goal = Maximize value with fractions [OK]
      Hint: Remember: fractional means partial items allowed [OK]
      Common Mistakes:
      • Thinking only whole items can be taken
      • Confusing with minimizing weight
      • Ignoring value-to-weight ratio
      2. Which C# syntax correctly declares a class named Item with public fields weight and value?
      easy
      A. class Item { public int weight; public int value; }
      B. class Item { int weight; int value; }
      C. public Item { int weight; int value; }
      D. class Item { public weight; public value; }

      Solution

      1. Step 1: Check class declaration syntax

        In C#, class fields must have type and access modifier for public fields.
      2. Step 2: Validate each option

        class Item { public int weight; public int value; } correctly declares public int fields. class Item { int weight; int value; } lacks access modifier. public Item { int weight; int value; } misses class keyword. class Item { public weight; public value; } misses types.
      3. Final Answer:

        class Item { public int weight; public int value; } -> Option A
      4. Quick Check:

        Correct class syntax = class Item { public int weight; public int value; } [OK]
      Hint: Public fields need type and access modifier [OK]
      Common Mistakes:
      • Omitting access modifiers
      • Missing data types
      • Incorrect class keyword usage
      3. What is the output of this C# code snippet for fractional knapsack?
      var items = new[] {
        new Item { weight = 10, value = 60 },
        new Item { weight = 20, value = 100 },
        new Item { weight = 30, value = 120 }
      };
      int capacity = 50;
      double maxValue = 0;
      Array.Sort(items, (a, b) => (b.value / (double)b.weight).CompareTo(a.value / (double)a.weight));
      int remaining = capacity;
      foreach (var item in items) {
        if (item.weight <= remaining) {
          maxValue += item.value;
          remaining -= item.weight;
        } else {
          maxValue += item.value * (remaining / (double)item.weight);
          break;
        }
      }
      Console.WriteLine(Math.Round(maxValue, 2));
      medium
      A. 200.00
      B. 220.00
      C. 180.00
      D. 240.00

      Solution

      1. Step 1: Sort items by value/weight ratio

        Ratios: Item1=6, Item2=5, Item3=4. Sorted order: Item1, Item2, Item3.
      2. Step 2: Add items until capacity 50

        Take Item1 fully (weight 10, value 60), remaining=40. Take Item2 fully (weight 20, value 100), remaining=20. Take 20/30 fraction of Item3: value = 120 * (20/30) = 80.
      3. Step 3: Calculate total value

        Total = 60 + 100 + 80 = 240. Rounded to 240.00.
      4. Final Answer:

        240.00 -> Option D
      5. Quick Check:

        Sum values with fractions = 240.00 [OK]
      Hint: Sort by value/weight, take full then fraction [OK]
      Common Mistakes:
      • Not sorting by value/weight ratio
      • Taking items without fraction
      • Incorrect fraction calculation
      4. Identify the bug in this fractional knapsack code snippet:
      int capacity = 50;
      var items = new List<Item> {
        new Item { weight = 10, value = 60 },
        new Item { weight = 20, value = 100 },
        new Item { weight = 30, value = 120 }
      };
      items.Sort((a, b) => (a.value / a.weight).CompareTo(b.value / b.weight));
      double maxValue = 0;
      int remaining = capacity;
      foreach (var item in items) {
        if (item.weight <= remaining) {
          maxValue += item.value;
          remaining -= item.weight;
        } else {
          maxValue += item.value * (remaining / item.weight);
          break;
        }
      }
      Console.WriteLine(maxValue);
      medium
      A. Sorting order is ascending instead of descending
      B. Missing check for zero weight items
      C. Integer division causes incorrect ratio calculation
      D. Using List instead of array causes error

      Solution

      1. Step 1: Analyze sorting comparator

        The comparator uses integer division (a.value / a.weight) which truncates decimals, causing wrong ratios.
      2. Step 2: Impact on sorting and calculation

        Integer division leads to incorrect sorting order and wrong maxValue calculation.
      3. Final Answer:

        Integer division causes incorrect ratio calculation -> Option C
      4. Quick Check:

        Use double division for correct ratios [OK]
      Hint: Use double division for ratios, not integer division [OK]
      Common Mistakes:
      • Sorting ascending instead of descending
      • Ignoring integer division truncation
      • Assuming List causes error
      5. Given items with weights and values: [(5, 30), (10, 40), (15, 45)], and knapsack capacity 20, what is the maximum value achievable using fractional knapsack?
      hard
      A. 85
      B. 75
      C. 80
      D. 70

      Solution

      1. Step 1: Calculate value/weight ratios and sort

        Ratios: (5,30)=6, (10,40)=4, (15,45)=3. Sorted order: (5,30), (10,40), (15,45).
      2. Step 2: Fill knapsack capacity 20

        Take full (5,30), remaining=15, value=30. Take full (10,40), remaining=5, value=70. Take fraction of (15,45): 5/15=1/3 fraction, value=45*(1/3)=15.
      3. Step 3: Calculate total value

        Total value = 30 + 40 + 15 = 85.
      4. Final Answer:

        85 -> Option A
      5. Quick Check:

        Sum with fractions = 85 [OK]
      Hint: Sort by ratio, take full items first, then fraction [OK]
      Common Mistakes:
      • Not sorting by value/weight ratio
      • Taking items without fraction
      • Incorrect fraction calculation
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