TAILIEUCHUNG - Lecture Java methods: Object-oriented programming and data structures (2nd AP edition): Chapter 19 - Maria Litvin, Gary Litvin

Chapter 19 - Big-O analysis of algorithms. Theoretical details in this chapter are for mathematically-inclined students. This is AB-level material. This chapter also provides the necessary background for discussing data structures in the subsequent chapters. | Big-O Analysis of Algorithms Copyright © 2011 by Maria Litvin, Gary Litvin, and Skylight Publishing. All rights reserved. Java Methods Object-Oriented Programming and Data Structures Maria Litvin ● Gary Litvin 2nd AP edition with GridWorld 19- Theoretical details in this chapter are for mathematically-inclined students. This is not AP CS material. Objectives: Learn the big-O definition and notation Review big-O for some common tasks and algorithms studied earlier Review several popular sorting algorithms and their average, best, and worst case big-O 19- This chapter also provides the necessary background for discussing data structures in the subsequent chapters. Evaluation of Algorithms Practice: benchmarks Theory: asymptotic analysis, big-O t n 19- The first impression may be that benchmarks leave no room for theory. This is not so. Analysis of Algorithms — Assumptions Abstract computer model with “unlimited” RAM Unlimited range for integers Basic operations on integers

• Kỹ thuật lập trình
• Java methods
• Lecture note Java methods
• Object oriented programming
• Data structures
• Lập trình hướng đối tượng
• Evaluation of algorithms
• Java syntax
• Java collections framework
• Hardware terms
• Software development
• OO program models
• Describing algorithms
• Data types
• Boolean expressions
• Iterative statements
• Implementing classes
• String class
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• ArrayList pitfalls
• Binary search
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• Computer graphics
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