'Low mid 1' presentation slideshows

Searching Sorting and the Complexity of Algorithms

Searching Sorting and the Complexity of Algorithms. Textbook 13.1-13.3. Searching and Sorting. Important topics: Programs spend a large amount of time searching and sorting Have been analyzed by many computer scientists Many textbooks and papers on the subjects (see Knuth). Searching.

507 views • 33 slides

Chapter 1: Introduction

Chapter 1: Introduction. What you have learnt in Comp1220 or Comp1170? What will be taught in Comp 1200? - more Abstract Data Types - efficient algorithms for problem solving (very useful in handling large amount of data) - algorithm analysis. Chapter 1: Introduction.

405 views • 25 slides

Zabin Visram Room CS115 CS126 Searching

286 views • 20 slides

Computability

Computability. O(n) exercises. Searching. Shuffling Homework: review examples. Research other shuffling. Recall . O() notation has <= A function f(n) is of order Big Oh g(n) if there exists a constant c and a number n 0 such that f(n) <= g(n) if n>= n o() notation has strictly <

285 views • 16 slides

POGLAVLJE 3: Kontrola toka

282 views • 11 slides

Standard Searches

Standard Searches. by Ken Nguyen 2011. Searches. Given a list of n elements and a key k value to search against the list Two outcomes: Location of the key in the list or NOT_FOUND The searching schemes depend on the organization of the data in the list. Sequential Search.

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?? 1 --- ??

?? 1 --- ??. unimodalSearch (A[1..n]) low = 1; high = n; while (low < high) mid = low + (high - low)/2; if (A[mid] < A[mid+1]) low = mid + 1; else high = mid; return A[low]; // here low==high anyway.

210 views • 1 slides