'Binary search algorithm' presentation slideshows

Recursion

Recursion. Chapter 11. Objectives. become familiar with the idea of recursion learn to use recursion as a programming tool become familiar with the binary search algorithm as an example of recursion become familiar with the merge sort algorithm as an example of recursion.

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Algorithms

Algorithms. Chapter 3 Sec 3.1 &3.2. With Question/Answer Animations. Chapter Summary. Algorithms Example Algorithms Algorithmic Paradigms Growth of Functions Big- O and other Notation Complexity of Algorithms. Algorithms. Section 3.1. Section Summary. Properties of Algorithms

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Lecture E Introduction to Algorithms

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Chapter 13 Recursion, Complexity, and Searching and Sorting

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Chapter 3

Chapter 3. The Efficiency of Algorithms. Learning Objectives. Describe algorithm attributes and why they are important Explain the purpose of efficiency analysis and apply it to new algorithms to determine the order of magnitude of their time efficiencies

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Chapter 14: Searching and Sorting

Chapter 14: Searching and Sorting. J ava P rogramming: From Problem Analysis to Program Design, Fourth Edition. Chapter Objectives. Learn how to implement the sequential search algorithm. Explore how to sort an array using bubble sort, selection sort, and insertion sort algorithms.

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Chapter 10: Applications of Arrays and Strings

Chapter 10: Applications of Arrays and Strings. J ava P rogramming: From Problem Analysis to Program Design, Second Edition. Chapter Objectives. Learn how to implement the sequential search algorithm.

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And now for something completely different . . .

And now for something completely different . . . . Part 12 Python 3 Introducing Recursion . Recursion. 12.1 Introduction to Recursion 12.2 A practical example of recursion 12.3 A recursive binary search algorithm. Recursion. 12.1 Introduction to Recursion

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Lecture 13 Recursion part 2

Lecture 13 Recursion part 2. Richard Gesick. Topics. Recursion with Two Base Cases Binary Search Revisited Animation Using Recursion Recursion Versus Iteration. Recursion with Two Base Cases.

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CSCE 3110 Data Structures & Algorithm Analysis

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Searching

Searching. Searching an array of integers. If an array is not sorted, there is no better algorithm than linear search for finding an element in it static final int NONE = -1; // not a legal index

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Introduction to Computer Science Theory

Introduction to Computer Science Theory. How complex is a program (or algorithm)?. Algorithms is the study of What algorithms can be used to solve common problems? How fast/slow are those algorithms? For example: Binary search on an array of size m takes about log 2 ( m ) steps.

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Introduction to Computer Science Theory

Introduction to Computer Science Theory. How complex is a program (or algorithm)?. Algorithms is the study of What algorithms can be used to solve common problems? How fast/slow are those algorithms? For example: Binary search on an array of size m takes about log 2 ( m ) steps.

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Advance Data Structure

Advance Data Structure . Computer Sciences Department ?. ? ??? ??? ?????? ???? . 1. College Of Mathematic & Computer Sciences . Searching . Searching is a process of checking and finding an element from a list of elements.

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7.3 Divide-and-Conquer Algorithms and Recurrence Relations

7.3 Divide-and-Conquer Algorithms and Recurrence Relations. If f(n) represents the number of operations required to solve the problem of size n, it follow that f satisfies the recurrence relation f(n) = af (n/b) + g(n)

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7.3 Divide-and-Conquer Algorithms and Recurrence Relations

7.3 Divide-and-Conquer Algorithms and Recurrence Relations. If f(n) represents the number of operations required to solve the problem of size n, it follow that f satisfies the recurrence relation f(n) = af (n/b) + g(n)

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Efficiency of Algorithms: Logarithmic Orders Binary Search Algorithm

Efficiency of Algorithms: Logarithmic Orders Binary Search Algorithm. Logarithmic function. Definition: The logarithmic function with base b ( b>0, b ?1 ) is the following function from R + to R : log b (x) = the exponent to which b must raised to obtain x .

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Efficiency of Algorithms: Logarithmic Orders Binary Search Algorithm

Efficiency of Algorithms: Logarithmic Orders Binary Search Algorithm. Logarithmic function. Definition: The logarithmic function with base b ( b>0, b ?1 ) is the following function from R + to R : log b (x) = the exponent to which b must raised to obtain x .

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What is Research

What is Research. Implement a binary search algorithm A tool for automatic repair programs Is battery drain an important issue for mobile phones Parallelize this program A. Hypothesis. Assumptions. The assumptions of this work are: We assume:

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