This set of four problems evaluates core algorithmic competencies including array manipulation and counting in sorted arrays, resource-constrained optimization for reachability with recharge stations, grid-based connected-component identification, and detection of longest consecutive-value sequences, emphasizing data-structure selection, edge-case reasoning, and time/space complexity analysis. Commonly asked in Coding & Algorithms interviews to assess both conceptual understanding of algorithmic paradigms and practical application of efficient techniques under constraints, these questions measure algorithmic thinking, complexity analysis, and problem decomposition.
The online assessment reportedly contained four coding problems:
nums
in nondecreasing order, return the larger of:
0
0
0
should not be counted in either group.
target
units of distance. It starts with
startCharge
units of battery, and it consumes
1
unit of battery per unit of distance traveled. Along the route,
stations[i] = [position_i, charge_i]
describes a charging station at distance
position_i
from the start that can provide
charge_i
additional battery units. The stations are sorted by position. Return the minimum number of charging stops needed to reach the destination, or
-1
if the destination cannot be reached.
m x n
grid of characters
'X'
and
'.'
. Each object is formed by one or more contiguous
'X'
cells placed either horizontally in one row or vertically in one column. Different objects are separated by at least one
'.'
cell, so no two distinct objects touch horizontally or vertically. Return the total number of objects in the grid.
nums
, return the length of the longest set of consecutive integer values that appears in the array. The values do not need to be adjacent in the original array. Aim for an
O(n)
solution.