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DSA C#programming~10 mins

Backtracking Concept and Decision Tree Visualization in DSA C# - Execution Trace

Choose your learning style10 modes available
Concept Flow - Backtracking Concept and Decision Tree Visualization
Start with empty solution
↓
Choose next option
↓
Is option valid?
No→Backtrack to previous choice
Yes↓
Add option to solution
↓
Is solution complete?
No→Repeat: Choose next option
Yes↓
Record solution
↓
Backtrack to explore other options
↩Back to Choose next option
Backtracking tries options step-by-step, checks if they fit, and goes back if stuck, exploring all possibilities like a decision tree.
Execution Sample
DSA C#
void Backtrack(List<int> solution, int step) {
  if (step == maxSteps) {
    Print(solution);
    return;
  }
  for (int option = 1; option <= 3; option++) {
    if (IsValid(solution, option)) {
      solution.Add(option);
      Backtrack(solution, step + 1);
      solution.RemoveAt(solution.Count - 1);
    }
  }
}
This code tries options 1 to 3 at each step, adds valid ones to the solution, and backtracks after exploring deeper.
Execution Table
StepOperationCurrent SolutionDecisionActionVisual State
1Start[]Try option 1Add 1[1]
2Recurse[1]Try option 1Add 1[1,1]
3Recurse[1,1]Try option 1Add 1[1,1,1]
4Check[1,1,1]Solution completePrint [1,1,1][1,1,1] (recorded)
5Backtrack[1,1,1]Remove lastRemove 1[1,1]
6Try next[1,1]Try option 2Add 2[1,1,2]
7Check[1,1,2]Solution completePrint [1,1,2][1,1,2] (recorded)
8Backtrack[1,1,2]Remove lastRemove 2[1,1]
9Try next[1,1]Try option 3Add 3[1,1,3]
10Check[1,1,3]Solution completePrint [1,1,3][1,1,3] (recorded)
11Backtrack[1,1,3]Remove lastRemove 3[1,1]
12Backtrack[1,1]Remove lastRemove 1[1]
13Try next[1]Try option 2Add 2[1,2]
14Recurse[1,2]Try option 1Add 1[1,2,1]
15Check[1,2,1]Solution completePrint [1,2,1][1,2,1] (recorded)
16Backtrack[1,2,1]Remove lastRemove 1[1,2]
17Try next[1,2]Try option 2Add 2[1,2,2]
18Check[1,2,2]Solution completePrint [1,2,2][1,2,2] (recorded)
19Backtrack[1,2,2]Remove lastRemove 2[1,2]
20Try next[1,2]Try option 3Add 3[1,2,3]
21Check[1,2,3]Solution completePrint [1,2,3][1,2,3] (recorded)
22Backtrack[1,2,3]Remove lastRemove 3[1,2]
23Backtrack[1,2]Remove lastRemove 2[1]
24Try next[1]Try option 3Add 3[1,3]
25Recurse[1,3]Try option 1Add 1[1,3,1]
26Check[1,3,1]Solution completePrint [1,3,1][1,3,1] (recorded)
27Backtrack[1,3,1]Remove lastRemove 1[1,3]
28Try next[1,3]Try option 2Add 2[1,3,2]
29Check[1,3,2]Solution completePrint [1,3,2][1,3,2] (recorded)
30Backtrack[1,3,2]Remove lastRemove 2[1,3]
31Try next[1,3]Try option 3Add 3[1,3,3]
32Check[1,3,3]Solution completePrint [1,3,3][1,3,3] (recorded)
33Backtrack[1,3,3]Remove lastRemove 3[1,3]
34Backtrack[1,3]Remove lastRemove 3[1]
35Backtrack[1]Remove lastRemove 1[]
36Try next[]Try option 2Add 2[2]
37Recurse[2]Try option 1Add 1[2,1]
38Recurse[2,1]Try option 1Add 1[2,1,1]
39Check[2,1,1]Solution completePrint [2,1,1][2,1,1] (recorded)
40Backtrack[2,1,1]Remove lastRemove 1[2,1]
41Try next[2,1]Try option 2Add 2[2,1,2]
42Check[2,1,2]Solution completePrint [2,1,2][2,1,2] (recorded)
43Backtrack[2,1,2]Remove lastRemove 2[2,1]
44Try next[2,1]Try option 3Add 3[2,1,3]
45Check[2,1,3]Solution completePrint [2,1,3][2,1,3] (recorded)
46Backtrack[2,1,3]Remove lastRemove 3[2,1]
47Backtrack[2,1]Remove lastRemove 1[2]
48Try next[2]Try option 2Add 2[2,2]
49Recurse[2,2]Try option 1Add 1[2,2,1]
50Check[2,2,1]Solution completePrint [2,2,1][2,2,1] (recorded)
51Backtrack[2,2,1]Remove lastRemove 1[2,2]
52Try next[2,2]Try option 2Add 2[2,2,2]
53Check[2,2,2]Solution completePrint [2,2,2][2,2,2] (recorded)
54Backtrack[2,2,2]Remove lastRemove 2[2,2]
55Try next[2,2]Try option 3Add 3[2,2,3]
56Check[2,2,3]Solution completePrint [2,2,3][2,2,3] (recorded)
57Backtrack[2,2,3]Remove lastRemove 3[2,2]
58Backtrack[2,2]Remove lastRemove 2[2]
59Try next[2]Try option 3Add 3[2,3]
60Recurse[2,3]Try option 1Add 1[2,3,1]
61Check[2,3,1]Solution completePrint [2,3,1][2,3,1] (recorded)
62Backtrack[2,3,1]Remove lastRemove 1[2,3]
63Try next[2,3]Try option 2Add 2[2,3,2]
64Check[2,3,2]Solution completePrint [2,3,2][2,3,2] (recorded)
65Backtrack[2,3,2]Remove lastRemove 2[2,3]
66Try next[2,3]Try option 3Add 3[2,3,3]
67Check[2,3,3]Solution completePrint [2,3,3][2,3,3] (recorded)
68Backtrack[2,3,3]Remove lastRemove 3[2,3]
69Backtrack[2,3]Remove lastRemove 3[2]
70Backtrack[2]Remove lastRemove 2[]
71Try next[]Try option 3Add 3[3]
72Recurse[3]Try option 1Add 1[3,1]
73Recurse[3,1]Try option 1Add 1[3,1,1]
74Check[3,1,1]Solution completePrint [3,1,1][3,1,1] (recorded)
75Backtrack[3,1,1]Remove lastRemove 1[3,1]
76Try next[3,1]Try option 2Add 2[3,1,2]
77Check[3,1,2]Solution completePrint [3,1,2][3,1,2] (recorded)
78Backtrack[3,1,2]Remove lastRemove 2[3,1]
79Try next[3,1]Try option 3Add 3[3,1,3]
80Check[3,1,3]Solution completePrint [3,1,3][3,1,3] (recorded)
81Backtrack[3,1,3]Remove lastRemove 3[3,1]
82Backtrack[3,1]Remove lastRemove 1[3]
83Try next[3]Try option 2Add 2[3,2]
84Recurse[3,2]Try option 1Add 1[3,2,1]
85Check[3,2,1]Solution completePrint [3,2,1][3,2,1] (recorded)
86Backtrack[3,2,1]Remove lastRemove 1[3,2]
87Try next[3,2]Try option 2Add 2[3,2,2]
88Check[3,2,2]Solution completePrint [3,2,2][3,2,2] (recorded)
89Backtrack[3,2,2]Remove lastRemove 2[3,2]
90Try next[3,2]Try option 3Add 3[3,2,3]
91Check[3,2,3]Solution completePrint [3,2,3][3,2,3] (recorded)
92Backtrack[3,2,3]Remove lastRemove 3[3,2]
93Backtrack[3,2]Remove lastRemove 2[3]
94Try next[3]Try option 3Add 3[3,3]
95Recurse[3,3]Try option 1Add 1[3,3,1]
96Check[3,3,1]Solution completePrint [3,3,1][3,3,1] (recorded)
97Backtrack[3,3,1]Remove lastRemove 1[3,3]
98Try next[3,3]Try option 2Add 2[3,3,2]
99Check[3,3,2]Solution completePrint [3,3,2][3,3,2] (recorded)
100Backtrack[3,3,2]Remove lastRemove 2[3,3]
101Try next[3,3]Try option 3Add 3[3,3,3]
102Check[3,3,3]Solution completePrint [3,3,3][3,3,3] (recorded)
103Backtrack[3,3,3]Remove lastRemove 3[3,3]
104Backtrack[3,3]Remove lastRemove 3[3]
105Backtrack[3]Remove lastRemove 3[]
106End[]All options triedDone[]
💡 All options at all steps tried, backtracked fully, no more solutions
Variable Tracker
VariableStartAfter Step 1After Step 12After Step 35After Step 70After Step 105Final
solution[][1][1][][2][][]
step0121210
Key Moments - 3 Insights
Why do we remove the last option after recursion (backtracking)?
Because after exploring deeper with that option (see rows 4, 7, 10), we must remove it to try other options at the same step (rows 5, 8, 11). This keeps the solution correct for new tries.
How do we know when a solution is complete?
When the solution length equals max steps (rows 4, 7, 10 show 'Solution complete'), we print and record it before backtracking.
What happens if an option is invalid?
Invalid options are skipped by the 'IsValid' check (not shown in table), so they never get added or recurse, keeping the solution valid.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table at Step 4, what is the current solution printed?
A[1,1]
B[1,1,1]
C[1]
D[]
💡 Hint
Check the 'Current Solution' and 'Action' columns at Step 4 in the execution_table.
At which step does the algorithm backtrack from solution [1,1,3]?
AStep 11
BStep 12
CStep 10
DStep 9
💡 Hint
Look for 'Remove last' action after printing [1,1,3] in the execution_table.
If maxSteps was 2 instead of 3, how would the execution_table change?
ABacktracking would not occur
BMore options would be tried at step 3
CSolutions would be printed at step 2 instead of step 3
DNo solutions would be printed
💡 Hint
Check when 'Solution complete' happens in the current table and imagine reducing maxSteps.
Concept Snapshot
Backtracking tries options stepwise.
If option fits, add it and go deeper.
If stuck, remove last option (backtrack).
Repeat until all solutions found.
Visualize as a decision tree exploring branches.
Full Transcript
Backtracking is a method to find all solutions by trying choices one by one. We start with an empty solution and pick an option. If the option is valid, we add it and move to the next step. If the solution is complete, we record it. If not, we try more options. When no options fit, we remove the last choice and try others. This process repeats until all possibilities are explored. The execution table shows each step adding or removing options, printing solutions, and backtracking. The variable tracker shows how the solution list changes over time. Key moments clarify why we remove options after recursion and how we know when a solution is complete. The visual quiz tests understanding of solution states and backtracking steps. This method is like exploring a decision tree, going down branches and back up to try new paths.

Practice

(1/5)
1. What is the main idea behind backtracking in algorithms?
easy
A. Use loops to repeat actions
B. Sort data before processing
C. Try all possible options and undo choices when they lead to dead ends
D. Store data in a queue for processing

Solution

  1. Step 1: Understand backtracking purpose

    Backtracking tries all options step-by-step and goes back if a choice fails.
  2. Step 2: Compare with other options

    Sorting, looping, and queues are different concepts not related to undoing choices.
  3. Final Answer:

    Try all possible options and undo choices when they lead to dead ends -> Option C
  4. Quick Check:

    Backtracking = Undo and try options [OK]
Hint: Backtracking means try and undo choices to find solutions [OK]
Common Mistakes:
  • Confusing backtracking with sorting or looping
  • Thinking backtracking only uses loops
  • Ignoring the undo step in backtracking
2. Which of the following is the correct C# syntax to start a backtracking recursive function named Backtrack with an integer parameter step?
easy
A. def Backtrack(step): ...
B. void Backtrack(int step) { ... }
C. Backtrack(int step) => { ... }
D. function Backtrack(step) { ... }

Solution

  1. Step 1: Identify C# function syntax

    C# uses return type before function name and parameters in parentheses.
  2. Step 2: Check options

    void Backtrack(int step) { ... } matches C# syntax. function Backtrack(step) { ... } is JavaScript style, C is invalid C# syntax, A is Python.
  3. Final Answer:

    void Backtrack(int step) { ... } -> Option B
  4. Quick Check:

    C# method syntax = void Name(params) [OK]
Hint: C# methods start with return type and parentheses [OK]
Common Mistakes:
  • Using JavaScript or Python syntax in C#
  • Omitting return type in method declaration
  • Using arrow syntax incorrectly in C#
3. Consider the following C# backtracking code snippet:
void Backtrack(int step, int max) {
  if (step == max) {
    Console.WriteLine(step);
    return;
  }
  if (step > max) {
    return;
  }
  Backtrack(step + 1, max);
  Backtrack(step + 2, max);
}

Backtrack(0, 3);
What will be the printed output?
medium
A. 0 1 2 3
B. 3 4
C. 2 3
D. 3 3 3

Solution

  1. Step 1: Trace recursive calls

    Starting at step=0, max=3. Calls increase step by 1 or 2 until step==3.
  2. Step 2: Identify base cases printed

    Paths reaching step==3 print 3. Three paths reach 3: 0->1->2->3, 0->1->3, and 0->2->3.
  3. Final Answer:

    3 3 3 -> Option D
  4. Quick Check:

    Base case prints 3 three times [OK]
Hint: Follow each recursive path to base case print [OK]
Common Mistakes:
  • Counting intermediate steps as output
  • Missing one of the recursive paths
  • Confusing step values printed
4. The following C# backtracking code is intended to print all subsets of {1, 2}, but it has an error:
void Subsets(int index, List<int> current) {
  if (index == 2) {
    Console.WriteLine(string.Join(",", current));
    return;
  }
  Subsets(index + 1, current);
  current.Add(index + 1);
  Subsets(index + 1, current);
}
What is the main problem?
medium
A. The list current is not restored after adding elements, causing incorrect subsets
B. The base case condition is wrong
C. The function should return a value
D. The index variable is not incremented

Solution

  1. Step 1: Analyze list modification

    After adding element to current, it is not removed before backtracking, so subsets accumulate extra elements.
  2. Step 2: Identify fix

    Need to remove last added element after recursive call to restore state.
  3. Final Answer:

    The list current is not restored after adding elements, causing incorrect subsets -> Option A
  4. Quick Check:

    Backtracking requires undoing changes [OK]
Hint: Always undo list changes after recursive calls [OK]
Common Mistakes:
  • Forgetting to remove added elements after recursion
  • Misunderstanding base case
  • Expecting return value from void method
5. You want to use backtracking to find all ways to climb a staircase of 4 steps, taking either 1 or 2 steps at a time. Which decision tree correctly represents the choices at each step?
medium
A. Root at step 0, branches to step 1 and step 2, each branch continues similarly until step 4
B. Root at step 4, branches to step 3 and step 2, moving backward
C. Root at step 0, branches only to step 1 repeatedly until step 4
D. Root at step 1, branches to step 3 and step 4 directly

Solution

  1. Step 1: Understand problem steps

    Starting at step 0, choices are to move 1 or 2 steps forward until reaching step 4.
  2. Step 2: Match decision tree structure

    Root at step 0, branches to step 1 and step 2, each branch continues similarly until step 4 shows root at 0 with branches to 1 and 2, continuing until 4, matching the problem.
  3. Final Answer:

    Root at step 0, branches to step 1 and step 2, each branch continues similarly until step 4 -> Option A
  4. Quick Check:

    Decision tree = choices from start to goal [OK]
Hint: Decision tree starts at initial state, branches by choices [OK]
Common Mistakes:
  • Starting decision tree at goal instead of start
  • Ignoring possible step sizes
  • Skipping intermediate steps in tree
Recommended

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10 questions~5 mineasy hard