Use a lower-bound search separately in each nondecreasing row:
def searchRows(f: Array[Array[Int]], x: Int): Option[(Int, Int)] = {
  val n = f.length
  val m = if (n == 0) 0 else f(0).length
  if (m == 0) return None
  var i = 0
  while (i < n) {
    var lo = 0
    var hi = m
    while (lo < hi) {
      val mid = lo + (hi - lo) / 2
      if (f(i)(mid) < x) lo = mid + 1
      else hi = mid
    }
    if (lo < m && f(i)(lo) == x) return Some((i, lo))
    i += 1
  }
  None
}
The outer loop invariant says there is no match in earlier rows. The inner invariant is , with every value before lo smaller than and every value from hi onward at least . Sortedness justifies each exclusion, and hi - lo strictly decreases. At exit, a match in this row exists exactly when the lower-bound index is inside the row and holds . Failure extends the outer exclusion.
The cost is , conventionally written for ; the extra one matters when a row has a single entry. Storage is constant. The source's column ranges must use indices strictly below , since f(i)(m) is outside the array.

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