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DSA Typescriptprogramming~10 mins

Why Math and Number Theory Appear in DSA Problems in DSA Typescript - Test Your Knowledge

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to calculate the remainder when dividing a number by 5.

DSA Typescript
const remainder = num [1] 5;
Drag options to blanks, or click blank then click option'
A+
B-
C*
D%
Attempts:
3 left
💡 Hint
Common Mistakes
Using + or * instead of the remainder operator
Confusing subtraction with remainder
2fill in blank
medium

Complete the code to check if a number is even using modulus.

DSA Typescript
if (num [1] 2 === 0) {
  console.log('Even number');
}
Drag options to blanks, or click blank then click option'
A+
B%
C-
D*
Attempts:
3 left
💡 Hint
Common Mistakes
Using + or - instead of %
Checking for remainder 1 instead of 0
3fill in blank
hard

Fix the error in the code to compute the greatest common divisor (GCD) using Euclid's algorithm.

DSA Typescript
function gcd(a: number, b: number): number {
  if (b === 0) return a;
  return gcd(b, a [1] b);
}
Drag options to blanks, or click blank then click option'
A%
B-
C+
D*
Attempts:
3 left
💡 Hint
Common Mistakes
Using subtraction instead of modulus
Using addition or multiplication incorrectly
4fill in blank
hard

Fill both blanks to create a function that returns a list of prime numbers up to n.

DSA Typescript
function primesUpTo(n: number): number[] {
  const primes = [];
  for (let i = 2; i [1]= n; i++) {
    let isPrime = true;
    for (let j = 2; j [2] i; j++) {
      if (i % j === 0) {
        isPrime = false;
        break;
      }
    }
    if (isPrime) primes.push(i);
  }
  return primes;
}
Drag options to blanks, or click blank then click option'
A<=
B<
C>
D>=
Attempts:
3 left
💡 Hint
Common Mistakes
Using > or >= in loops causing infinite loops or wrong checks
Using <= in inner loop causing false negatives
5fill in blank
hard

Fill all three blanks to create a function that returns a dictionary of numbers and their squares for numbers greater than 3.

DSA Typescript
function squaresMap(nums: number[]): {[key: number]: number} {
  return nums.reduce((acc, num) => {
    if (num [1] 3) {
      acc[num] = num [2] num;
    }
    return acc;
  }, {} as {[key: number]: number});
}
Drag options to blanks, or click blank then click option'
A>
B*
C<
D+
Attempts:
3 left
💡 Hint
Common Mistakes
Using < instead of >
Using + instead of * for square calculation

Practice

(1/5)
1. Why do many Data Structures & Algorithms problems involve concepts from Math and Number Theory?
easy
A. Because they help solve problems involving patterns, divisibility, and optimization
B. Because Math is easier than programming
C. Because Number Theory is unrelated to algorithms
D. Because Math concepts slow down the algorithm

Solution

  1. Step 1: Understand the role of Math in DSA

    Math and Number Theory provide tools to analyze patterns, divisibility, and properties of numbers which are common in algorithm problems.
  2. Step 2: Connect Math to problem solving

    These concepts help optimize solutions and solve problems efficiently, such as finding primes, gcd, or modular arithmetic.
  3. Final Answer:

    Because they help solve problems involving patterns, divisibility, and optimization -> Option A
  4. Quick Check:

    Math aids pattern and optimization in DSA = Because they help solve problems involving patterns, divisibility, and optimization [OK]
Hint: Math helps find patterns and optimize algorithms fast [OK]
Common Mistakes:
  • Thinking Math is unrelated to algorithms
  • Assuming Math makes problems slower
  • Ignoring Number Theory concepts
2. Which of the following is the correct TypeScript syntax to calculate the greatest common divisor (GCD) of two numbers a and b using Euclid's algorithm?
easy
A. function gcd(a: number, b: number): number { return Math.max(a, b); }
B. function gcd(a: number, b: number): number { while (a !== 0) { let temp = b; a = b % a; b = temp; } return b; }
C. function gcd(a: number, b: number): number { return a + b; }
D. function gcd(a: number, b: number): number { return b === 0 ? a : gcd(b, a % b); }

Solution

  1. Step 1: Identify Euclid's algorithm structure

    Euclid's algorithm uses recursion and modulo: gcd(a, b) = gcd(b, a % b) until b is zero.
  2. Step 2: Match syntax with algorithm

    function gcd(a: number, b: number): number { return b === 0 ? a : gcd(b, a % b); } correctly implements recursion with base case b === 0 returning a.
  3. Final Answer:

    function gcd(a: number, b: number): number { return b === 0 ? a : gcd(b, a % b); } -> Option D
  4. Quick Check:

    Recursive gcd with modulo = function gcd(a: number, b: number): number { return b === 0 ? a : gcd(b, a % b); } [OK]
Hint: Use recursion and modulo for GCD in TypeScript [OK]
Common Mistakes:
  • Using addition instead of modulo
  • Returning max instead of gcd
  • Incorrect loop conditions
3. What is the output of the following TypeScript code that uses modular arithmetic to find the remainder of a large exponentiation?
const mod = 1000000007;
function modExp(base: number, exp: number, mod: number): number {
  if (exp === 0) return 1;
  let half = modExp(base, Math.floor(exp / 2), mod);
  let result = (half * half) % mod;
  if (exp % 2 !== 0) result = (result * base) % mod;
  return result;
}
console.log(modExp(2, 10, mod));
medium
A. 1000000007
B. 512
C. 1024
D. 0

Solution

  1. Step 1: Understand modular exponentiation

    The function calculates (2^10) % 1000000007 efficiently using recursion and squaring.
  2. Step 2: Calculate 2^10 modulo 1000000007

    2^10 = 1024, which is less than mod, so result is 1024.
  3. Final Answer:

    1024 -> Option C
  4. Quick Check:

    2^10 mod 1000000007 = 1024 [OK]
Hint: Use fast exponentiation to compute large powers modulo [OK]
Common Mistakes:
  • Confusing exponentiation with multiplication
  • Ignoring modulo operation
  • Incorrect base cases in recursion
4. Identify the bug in the following TypeScript function that tries to check if a number is prime:
function isPrime(n: number): boolean {
  if (n <= 1) return false;
  for (let i = 2; i <= n / 2; i++) {
    if (n % i === 0) return false;
  }
  return true;
}
medium
A. The loop should run until i <= Math.sqrt(n)
B. The modulo operator % is used incorrectly
C. The function should return true for n <= 1
D. The loop should run until i < n, not n / 2

Solution

  1. Step 1: Analyze the loop range for prime checking

    Checking divisors up to n/2 is inefficient; checking up to sqrt(n) is enough.
  2. Step 2: Correct the loop condition

    Change loop condition to i <= Math.sqrt(n) to improve performance and correctness.
  3. Final Answer:

    The loop should run until i <= Math.sqrt(n) -> Option A
  4. Quick Check:

    Prime check loop limit = sqrt(n) [OK]
Hint: Check divisors only up to square root of n [OK]
Common Mistakes:
  • Looping too far causing inefficiency
  • Returning true for non-prime numbers
  • Misusing modulo operator
5. You want to find the number of integers between 1 and 1000 that are divisible by 3 or 5 but not both. Which approach using Number Theory concepts is best?
hard
A. Count multiples of 3 and 5, then subtract the count of multiples of 15
B. Count multiples of 3 and 5, then subtract twice the count of multiples of 15
C. Count multiples of 3 only
D. Count multiples of 5 only

Solution

  1. Step 1: Use inclusion-exclusion principle

    Count multiples of 3 and 5 separately, then subtract multiples of their LCM (15) to avoid double counting.
  2. Step 2: Adjust for numbers divisible by both

    Since we want numbers divisible by 3 or 5 but not both, subtract twice the count of multiples of 15.
  3. Final Answer:

    Count multiples of 3 and 5, then subtract twice the count of multiples of 15 -> Option B
  4. Quick Check:

    Use inclusion-exclusion with double subtraction for both divisibility [OK]
Hint: Use inclusion-exclusion and subtract twice for both divisors [OK]
Common Mistakes:
  • Subtracting multiples of 15 only once
  • Counting only one divisor's multiples
  • Ignoring overlap of multiples
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