docs(docs): add MDX pages for Median of Two Sorted Arrays and Largest Rectangle in Histogram and update site redirects

docs/(01-linear-structures)/binary-search/(problems)/4_median-of-two-sorted-arrays.mdx

@@ -0,0 +1,39 @@
+---
+title: '4. Median of Two Sorted Arrays'
+description: Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays
+icon: dot
+topics:
+  - { name: "Array", slug: "array" }
+  - { name: "Binary Search", slug: "binary-search" }
+  - { name: "Divide and Conquer", slug: "divide-and-conquer" }
+issue: "https://github.com/prdlk/leetcode/issues/66"
+sidebar:
+  label: 'Median of Two Sorted Arrays'
+  badge: 'Hard'
+---
+
+### Example 1:
+- Input: `nums1 = [1,3], nums2 = [2]`
+- Output: `2.00000`
+- Explanation: merged array = `[1,2,3]` and median is `2`.
+
+### Example 2:
+- Input: `nums1 = [1,2], nums2 = [3,4]`
+- Output: `2.50000`
+- Explanation: merged array = `[1,2,3,4]` and median is `(2 + 3`) / `2 = 2.5`.
+
+### Constraints:
+
+- `nums1.length == m`
+- `nums2.length == n`
+- `0 <= m <= 1000`
+- `0 <= n <= 1000`
+- `1 <= m + n <= 2000`
+- `-10^6 <= nums1[i], nums2[i] <= 10^6`
+
+## Solution
+
+```py
+class Solution:
+    def findMedianSortedArrays(self, nums1: list[int], nums2: list[int]) -> float:
+```

docs/(01-linear-structures)/monotonic-stack/(problems)/84_largest-rectangle-in-histogram.mdx

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+---
+title: '84. Largest Rectangle in Histogram'
+description: Given an array of integers heights representing the histogram's bar height where the width of each bar is 1, return the area of the largest rectangle in the histogram
+icon: dot
+topics:
+  - { name: "Array", slug: "array" }
+  - { name: "Stack", slug: "stack" }
+  - { name: "Monotonic Stack", slug: "monotonic-stack" }
+  - { name: "Range Minimum/Maximum Query", slug: "range-minimum-maximum-query" }
+issue: "https://github.com/prdlk/leetcode/issues/76"
+sidebar:
+  label: 'Largest Rectangle in Histogram'
+  badge: 'Hard'
+---
+
+### Example 1:
+- Input: `heights = [2,1,5,6,2,3]`
+- Output: `10`
+- Explanation: The above is a histogram where width of each bar is `1`. The largest rectangle is shown in the red area, which has an area = `10` units.
+
+### Example 2:
+- Input: `heights = [2,4]`
+- Output: `4`
+
+### Constraints:
+
+- `1 <= heights.length <= 10^5`
+- `0 <= heights[i] <= 10^4`
+
+## Solution
+
+```py
+class Solution:
+    def largestRectangleArea(self, heights: list[int]) -> int:
+        maxArea = 0
+        stack = []
+
+        for i, h in enumerate(heights):
+            start = i
+            while stack and stack[-1][1] > h:
+                index, height = stack.pop()
+                width = i - index
+                maxArea = max(maxArea, height * width)
+                start = index
+            stack.append((start, h))
+
+        for i, h in stack:
+            maxArea = max(maxArea, h * (len(heights) - i))
+
+        return maxArea
+```

docs/site.json

@@ -178,6 +178,10 @@
       "from": "/3",
       "to": "/sliding-window/longest-substring-without-repeating-characters"
     },
+    {
+      "from": "/4",
+      "to": "/binary-search/median-of-two-sorted-arrays"
+    },
     {
       "from": "/11",
       "to": "/two-pointers/container-with-most-water"
@@ -278,6 +282,10 @@
       "from": "/78",
       "to": "/backtracking/subsets"
     },
+    {
+      "from": "/84",
+      "to": "/monotonic-stack/largest-rectangle-in-histogram"
+    },
     {
       "from": "/98",
       "to": "/binary-search-tree/validate-binary-search-tree"