
Terminology: Lecture 1 Name:_____________________
... "Proof": Pick c = 110 and N = 1, then 100 + 10 n [ 110 n for all n m 1. 100 + 10 n [ 110 n 100 [ 100 n 1[ n Problem with big-oh: If T(n) is O(n), then it is also O(n2), O(n3), O(n3), O(2n), .... since these are also upper bounds. Omega Definition - asymptotic lower bound For a given complexity funct ...
... "Proof": Pick c = 110 and N = 1, then 100 + 10 n [ 110 n for all n m 1. 100 + 10 n [ 110 n 100 [ 100 n 1[ n Problem with big-oh: If T(n) is O(n), then it is also O(n2), O(n3), O(n3), O(2n), .... since these are also upper bounds. Omega Definition - asymptotic lower bound For a given complexity funct ...
Five, Six, and Seven-Term Karatsuba
... integer algorithms worry about carries. Finite fields GFðpm Þ are important to cryptography; when p is prime and m > 1, field elements are represented by polynomials over the base field GFðpÞ. Computer algebra systems manipulate high and low-degree polynomials, often in multiple variables. Polynomia ...
... integer algorithms worry about carries. Finite fields GFðpm Þ are important to cryptography; when p is prime and m > 1, field elements are represented by polynomials over the base field GFðpÞ. Computer algebra systems manipulate high and low-degree polynomials, often in multiple variables. Polynomia ...