'Case running time' presentation slideshows

Data Structure & Algorithm

493 views • 28 slides

Quick-Sort

315 views • 24 slides

Quick-Sort

381 views • 24 slides

COMP 171 Data Structures and Algorithms

COMP 171 Data Structures and Algorithms. Tutorial 2 Analysis of algorithms. ?-notation. Big-Oh f(n) =?(g(n)) ?(g(n)) = {f(n) : there exist positive constants c and n 0 such that 0?f(n)?cg(n) for all n?n 0 } Upper bound Worst-case running time. ?-notation. Little-Oh f(n) =?(g(n))

305 views • 18 slides

Growth of Functions

Growth of Functions. Asymptotic Notation. When we look at a large enough input n , we are studying the asymptotic efficiency Concerned with the running time as the input increases without bound

309 views • 18 slides

COMP 171 Data Structures and Algorithms

COMP 171 Data Structures and Algorithms. Tutorial 2 Analysis of algorithms. ?-notation. Big-Oh f(n) =?(g(n)) ?(g(n)) = {f(n) : there exist positive constants c and n 0 such that 0?f(n)?cg(n) for all n?n 0 } Upper bound Worst-case running time. ?-notation. Little-Oh f(n) =?(g(n))

333 views • 18 slides

Growth of Functions

Growth of Functions. Asymptotic Notation. When we look at a large enough input n , we are studying the asymptotic efficiency Concerned with the running time as the input increases without bound

225 views • 18 slides