Reputation: 1096
Taking a natural number a as input, it is easy to read the bits of its binary form from MSB to LSB in O(n) time, n being its binary length, using only a for loop and elementary sums and subtractions. A left shift can be achieved by a+a and subtracting 1000000...
def powerOfTwo(n):
a = 1
for j in range(0,n):
a=(a+a)
return a
def bitLenFast(n):
len=0
if (n==0):
len=1
else:
y=1
while (y<=n):
y=(y+y)
len=(len+1)
return len
def readAsBinary(x):
len=bitLenFast(x) # Length of input x in bits
y=powerOfTwo((len-1)) # Reference word 1000000...
hBit=powerOfTwo(len) # Deletes highest bit in left shift
for i in range(0, len):
if (x>=y):
bit=1
x=((x+x)-hBit)
else:
bit=0
x=(x+x)
print(bit)
Is there an algorithm to parse a bit by bit from LSB to MSB in O(n) time, using only a while or a for loop and elementary operations (i.e. no bitwise built-in functions or operators)?
Upvotes: 0
Views: 559
Reputation: 17945
This is an implementation of samgak's answer in JS, using 2 calls to (an adapted version of) OP's code. Since OP's code is O(n), and all added code is O(1), the result is also O(n).
Therefore, the answer to OP's question is yes.
NOTE: updated to add leading zeroes as per samgak's updated answer.
function read_low_to_high(num, out) {
const acc = {
n: 0, // integer with bits in reverse order
p: 1, // current power-of-two
z: 0, // last run of zeroes, to prepend to result once finished
push: (bit) => { // this is O(1)
if (bit) {
acc.n = acc.n + acc.p;
acc.z = 0;
} else {
acc.z = acc.z + 1;
}
acc.p = acc.p + acc.p;
}
};
// with n as log2(num) ...
read_high_to_low(num, acc); // O(n) - bits in reverse order
for (let i=0; i<acc.z; i++) { // O(n) - prepend zeroes
out.push(0);
}
read_high_to_low(acc.n, out); // O(n) - bits in expected order
}
function read_high_to_low(num, out) {
let po2 = 1; // max power-of-two <= num
let binlength = 1;
while (po2 + po2 <= num) {
po2 = po2 + po2;
binlength ++;
}
const hi = po2 + po2; // min power-of-two > num
for (let i=0; i<binlength; i++) {
if (num>=po2) {
out.push(1);
num = num + num - hi;
} else {
out.push(0);
num = num + num;
}
}
}
function test(i) {
const a = i.toString(2)
.split('').map(i => i-'0');
const ra = a.slice().reverse();
const b = [];
read_high_to_low(i, b);
const rb = [];
read_low_to_high(i, rb);
console.log(i,
"high-to-low",
JSON.stringify(a),
JSON.stringify(b),
"low-to-high",
JSON.stringify(ra),
JSON.stringify(rb)
);
}
for (let i=0; i<16; i++) test(i);
Upvotes: 2
Reputation: 24427
Apply your algorithm to find the bits in MSB to LSB order to the number. Keep an accumulator A initialized to 0 and a place value variable B initialized to 1. At each iteration, add B to A if the bit is set and then double B by adding it to itself. You also need to keep track of the number of consecutive 0 bits. Initialize a counter C to zero beforehand and at each iteration increment it if the bit is 0 or set to zero otherwise.
At the end you will have the number with the bits reversed in A. You can then output C leading zeros and then apply the algorithm to A to output the bits of the original number in LSB to MSB order.
Upvotes: 2
Reputation: 2494
For reading digits from least significant to most significant and determining the numerical value, there is, but for a valid assertion about run time it would be essential if e.g. indexed access is constant time.
For digits in numerical value:
value ← 0, weight ← 1
foreach digit
while 0 < digit
value ← value + weight
digit ← digit - 1
weight ← weight + weight
Upvotes: 0
Reputation: 80287
Perhaps you want something like this:
value = 666
while value:
next = value // 2 # integer division
bit = value - next * 2
print(bit, end = " ")
value = next
>>> 0 1 0 1 1 0 0 1 0 1
Upvotes: 1