Greedy vs DP How to Know Which to Apply in DSA Typescript - Interactive Comparison Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to check if a problem has the greedy-choice property.

DSA Typescript

function hasGreedyChoiceProperty(problem: any): boolean {
  // If local optimal choices lead to global optimum
  return problem.[1];
}

Drag options to blanks, or click blank then click option'

ArequiresMemoization

BalwaysChooseFirst

ChasOverlappingSubproblems

DlocalOptimumLeadsToGlobal

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing greedy-choice property with overlapping subproblems.

Assuming all problems have greedy-choice property.

The greedy-choice property means that making a local optimal choice at each step leads to a global optimum.

2fill in blank

medium

Complete the code to check if a problem has overlapping subproblems.

DSA Typescript

function hasOverlappingSubproblems(problem: any): boolean {
  // If subproblems repeat
  return problem.[1];
}

Drag options to blanks, or click blank then click option'

AlocalOptimumLeadsToGlobal

BalwaysChooseFirst

ChasOverlappingSubproblems

DrequiresSorting

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up overlapping subproblems with greedy-choice property.

Assuming sorting is always required.

Overlapping subproblems means the problem can be broken into subproblems which are solved multiple times.

3fill in blank

hard

Fix the error in the function that decides which approach to apply.

DSA Typescript

function chooseApproach(problem: any): string {
  if (problem.[1]) {
    return 'Greedy';
  } else if (problem.hasOverlappingSubproblems) {
    return 'Dynamic Programming';
  } else {
    return 'Brute Force';
  }
}

Drag options to blanks, or click blank then click option'

AlocalOptimumLeadsToGlobal

BhasOverlappingSubproblems

CalwaysChooseFirst

DrequiresMemoization

Attempts:

3 left

💡 Hint

Common Mistakes

Checking overlapping subproblems before greedy-choice property.

Using wrong property names.

The decision should check if the problem has the greedy-choice property first to choose Greedy.

4fill in blank

hard

Fill both blanks to complete the function that explains when to use DP.

DSA Typescript

function shouldUseDP(problem: any): boolean {
  return problem.[1] && problem.[2];
}

Drag options to blanks, or click blank then click option'

AhasOverlappingSubproblems

BlocalOptimumLeadsToGlobal

CrequiresMemoization

DalwaysChooseFirst

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing greedy-choice property with DP conditions.

Missing memoization requirement.

Dynamic Programming is used when the problem has overlapping subproblems and requires memoization.

5fill in blank

hard

Fill all three blanks to complete the function that decides the algorithm type based on problem properties.

DSA Typescript

function decideAlgorithm(problem: any): string {
  if (problem.[1]) {
    return 'Greedy';
  } else if (problem.[2] && problem.[3]) {
    return 'Dynamic Programming';
  } else {
    return 'Brute Force';
  }
}

Drag options to blanks, or click blank then click option'

AlocalOptimumLeadsToGlobal

BhasOverlappingSubproblems

CrequiresMemoization

DalwaysChooseFirst

Attempts:

3 left

💡 Hint

Common Mistakes

Wrong order of checks.

Missing one of the DP conditions.

The function first checks for greedy-choice property, then overlapping subproblems and memoization for DP, else brute force.