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Problem A. Binomial Coefficient | Problems
Dynamic Programming
course content

Course Content

Dynamic Programming

Dynamic Programming

1. Intro to Dynamic Programming
2. Problems
3. Solutions

Problem A. Binomial Coefficient

The tasks in this section contain test function calls. Please do not change this code; otherwise, the assignment may not be accepted.

In previous sections, we solved the problems that can be described as functions with 1 parameter (fib(n), rabbit(n)). Sometimes, the function depends on 2 or more parameters, for example, this one.

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 1
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Problem A. Binomial Coefficient

The tasks in this section contain test function calls. Please do not change this code; otherwise, the assignment may not be accepted.

In previous sections, we solved the problems that can be described as functions with 1 parameter (fib(n), rabbit(n)). Sometimes, the function depends on 2 or more parameters, for example, this one.

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 1
toggle bottom row

Problem A. Binomial Coefficient

The tasks in this section contain test function calls. Please do not change this code; otherwise, the assignment may not be accepted.

In previous sections, we solved the problems that can be described as functions with 1 parameter (fib(n), rabbit(n)). Sometimes, the function depends on 2 or more parameters, for example, this one.

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

The tasks in this section contain test function calls. Please do not change this code; otherwise, the assignment may not be accepted.

In previous sections, we solved the problems that can be described as functions with 1 parameter (fib(n), rabbit(n)). Sometimes, the function depends on 2 or more parameters, for example, this one.

Task

Create the program to calculate Binomial coefficient C(n, k) using dynamic programming. Since the function contains two parameters, the problem requires a two-dimensional array dp[n+1][n+1] to store the values.

  1. Define the base cases: C(n,0) = C(n,n) = 1
  2. Use the rule:

C(n,k) = C(n-1,k-1) + C(n-1,k).

Use Optimal Substructure and Overlapping Subproblems principles. If you’re unsure about how to store sub-solutions, open Hint.

Example 1. n=3, k=2 -> res = 3

Example2. n=10, k=4 -> res = 210

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 1
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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