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heaporder

Heap order is the invariant that defines a heap data structure. In a heap, each node’s key is not greater than its children’s keys in a min-heap, or not less than its children’s keys in a max-heap. This heap property ensures that the root node holds the minimum (min-heap) or maximum (max-heap) element of the entire structure. The property is called the heap order, and it guarantees a quick access to the extremal element while allowing efficient updates elsewhere in the structure.

Heaps are typically implemented as nearly complete trees, commonly binary heaps, and are usually stored in

Operationally, heaps support efficient priority-queue operations. Insertion adds a new element at the end and then

Heaps are widely used to implement priority queues and in sorting algorithms such as heapsort. The heap

arrays.
The
heap
order
concerns
only
the
parent-child
relationships;
there
is
no
requirement
for
a
total
order
among
siblings.
As
a
result,
the
ordering
is
not
global,
and
elements
apart
from
the
root
may
be
arranged
in
various
ways
as
long
as
the
heap
property
holds.
“sifts
up”
to
restore
the
heap
order.
Removing
the
root
(the
min
or
max)
replaces
it
with
the
last
element
and
then
“sifts
down.”
Other
operations
include
decrease-key
or
increase-key,
which
adjust
a
node’s
key
while
maintaining
the
heap
property.
Time
complexities
are
typically
O(log
n)
for
insert
and
extract
operations,
with
building
a
heap
from
n
elements
achievable
in
O(n)
time.
order
guarantees
quick
access
to
the
extreme
element,
while
the
rest
of
the
elements
are
arranged
to
preserve
the
property.