'Mid low high 2' presentation slideshows

Chapter 4 Divide-and-Conquer

Chapter 4 Divide-and-Conquer. About this lecture. Recall the divide-and-conquer paradigm, which we used for merge sort: Divide the problem into a number of sub-problems that are smaller instances of the same problem. Conquer the sub-problems by solving them recursively.

769 views • 42 slides

Chapter 3: Control Flow

S. M. Farhad. Chapter 3: Control Flow. Statements and Blocks. An expression becomes a statement when it is followed by a semicolon Braces { and } are used to group declarations and statements together into a compound statement or block

519 views • 42 slides

Chapter 4 Divide-and-Conquer

Chapter 4 Divide-and-Conquer. About this lecture. Recall the divide-and-conquer paradigm, which we used for merge sort: Divide the problem into a number of sub-problems that are smaller instances of the same problem. Conquer the sub-problems by solving them recursively.

537 views • 41 slides

ANALYSIS OF ALGORITHMS

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CS 177 Week 16 Recitation

CS 177 Week 16 Recitation. Recursion. Objective. To understand and be able to program recursively by breaking down a problem into sub problems and joining the solution of those sub problems back to get the solution of the original problem. Binary Search.

367 views • 29 slides

Divide-and-Conquer Approach

Divide-and conquer is a general algorithm design approach: Divide : divide the input data S in two disjoint subsets S 1 and S 2 Recur : solve the sub-problems associated with S 1 and S 2 Conquer : combine the solutions for S 1 and S 2 into a solution for S

446 views • 28 slides

Recursion

Recursion. Breaking down problems into solvable subproblems Chapter 7. The good and the bad. Pluses Code easy to understand May give different view of problem Sometimes, efficient Bad overhead of functions calls (20-30%) may be hard to analyze cost not apparent

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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.

418 views • 25 slides

CMPT 125

CMPT 125. Verification and Testing. Objectives. Write pre-conditions and post-conditions for functions Write simple loop invariants for functions Use assert statements to check invariants Use assert statements to test methods. Beans in a Can Game. Rules.

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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 <

296 views • 16 slides

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????????? ?????. Brute Force. Module Module1 Function BruteForce(ByRef x() As Integer, ByRef item As Integer) As Integer Dim i As Integer For i = 0 To x.Length() - 1 If (x(i) = item) Then Return i End If Next

257 views • 13 slides