What is the worst case efficiency for a path compression algorithm?

Give me the correct answer don't copy from others otherwise I'll give you downvotes sure

We know that, using Karatsuba algorithm, it takes time complexity O(n1.59) to multiply two bit strings with length n. Suppose I want to multiply n bit strings a1,

What is the worst case efficiency for a path compression algorithm?a) O(N)b) O(log N)c) O(N log N)d) O(M log N)

Plot x[n] = 0.25^n (u[n]) in time domain and frequency domain by matlab. Please attach the code.

What is the worst case efficiency for a path compression algorithm?a) O(N)b) O(log N)c) O(N log N)d) O(M log N)

What is the worst-case running time of unions done by size and path compression?a) O(N)b) O(logN)c) O(N logN)d) O(M logN)

In a Von Neumann architecture, groups of bits have no intrinsic meanings by themselves. What a bit pattern represents depends entirely on how it is used. The following table shows bit patterns expressed in hexadecimal notation i. 0x000940C2 ii. 0x8C90FFFC Qa)What decimal number does each bit pattern represent if,       i.It is a two’s-complement integer?       ii.It is an unsigned integer?   b) If each bit pattern represents an MIPS instruction, what instruction will be executed?   c) What decimal number does each bit pattern represent if it is a floating-point number in IEEE 754 standard?

What is the worst-case running time of unions done by size and path compression?a) O(N)b) O(logN)c) O(N logN)d) O(M logN)

M N y[n] E bit [n – k]- E aw[n – k] %3D k = 0 k = 1 How do I model this LCCDE in python code?