Files
JavaScript/Dynamic-Programming/MinimumCostPath.js
Roland Hummel 86d333ee94 feat: Test running overhaul, switch to Prettier & reformat everything (#1407)
* chore: Switch to Node 20 + Vitest

* chore: migrate to vitest mock functions

* chore: code style (switch to prettier)

* test: re-enable long-running test

Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime!

see #1193

* chore: code style

* chore: fix failing tests

* Updated Documentation in README.md

* Update contribution guidelines to state usage of Prettier

* fix: set prettier printWidth back to 80

* chore: apply updated code style automatically

* fix: set prettier line endings to lf again

* chore: apply updated code style automatically

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Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
2023-10-04 02:38:19 +05:30

46 lines
1.0 KiB
JavaScript

// Problem Statement => https://www.youtube.com/watch?v=lBRtnuxg-gU
const minCostPath = (matrix) => {
/*
Find the min cost path from top-left to bottom-right in matrix
>>> minCostPath([[2, 1], [3, 1], [4, 2]])
>>> 6
*/
const n = matrix.length
const m = matrix[0].length
// moves[i][j] => minimum number of moves to reach cell i, j
const moves = new Array(n)
for (let i = 0; i < moves.length; i++) moves[i] = new Array(m)
// base conditions
moves[0][0] = matrix[0][0] // to reach cell (0, 0) from (0, 0) is of no moves
for (let i = 1; i < m; i++) moves[0][i] = moves[0][i - 1] + matrix[0][i]
for (let i = 1; i < n; i++) moves[i][0] = moves[i - 1][0] + matrix[i][0]
for (let i = 1; i < n; i++) {
for (let j = 1; j < m; j++) {
moves[i][j] = Math.min(moves[i - 1][j], moves[i][j - 1]) + matrix[i][j]
}
}
return moves[n - 1][m - 1]
}
export { minCostPath }
// Example
// minCostPath([
// [2, 1],
// [3, 1],
// [4, 2]
// ])
// minCostPath([
// [2, 1, 4],
// [2, 1, 3],
// [3, 2, 1]
// ])