PPT-Lecture 7: Solving Recurrences CSE 373: Data Structures and Algorithms

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Lecture 7 Solving Recurrences CSE 373 Data Structures and Algorithms CSE 373 19 sp Kasey Champion 1 Thought Experiment Discuss with your neighbors Imagine you are

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Lecture 7: Solving Recurrences CSE 373: Data Structures and Algorithms: Transcript

Lecture 7 Solving Recurrences CSE 373 Data Structures and Algorithms CSE 373 19 sp Kasey Champion 1 Thought Experiment Discuss with your neighbors Imagine you are writing an implementation of the List interface that stores integers in an Array What are some ways you can assess your programs correctness in the following cases. Lecture 6. The maximum contiguous subsequence sum problem.. 8/25/2009. 1. ALG0183 Algorithms & Data Structures by Dr Andy Brooks. Weiss Chapter 5.3. There are many algorithms to solve this problem and their performances vary dramatically.. Lecture 18. The basics of graphs.. 8/25/2009. 1. ALG0183 Algorithms & Data Structures by Dr Andy Brooks. Watch out for self-loops in graphs.. 8/25/2009. ALG0183 Algorithms & Data Structures by Dr Andy Brooks. Methods . and Examples. CSE . 2320 – Algorithms and Data Structures. Vassilis Athitsos. University of Texas at . Arlington. 1. Why Asymptotic Behavior Matters. Asymptotic behavior: The behavior of a function as the input approaches infinity.. Michael T. Goodrich. Dept. of Computer . Science. University of California, Irvine. The Need for Good Algorithms. T. o . facilitate improved network analysis, we need . fast algorithms . and . efficient data structures. Methods and Examples. CSE . 2320 – Algorithms and Data Structures. Vassilis. . Athitsos. Modified by . Alexandra Stefan. University of Texas at . Arlington. 1. Overview. Summations. Summation of . Lecture 16: Introduction to Graphs. Linda Shapiro. Winter 2015. Announcements. HW03 all graded, posted, regarded on some due to the AVL no-credit problem. Email Evan if any more problems.. HW04 . all graded and . Lecture 7: . AVL . Trees. Linda Shapiro. Spring 2016. Announcements. HW2 due . Wednesday. Help sessions this week. Monday & Thursday: Binary Search Trees and AVL Trees. Last lecture: Binary . Search . Lecture 16: Graphs CSE 373 Data Structures and Algorithms Administrivia Exercise 3 due tonight. Exercise 4 out today. Robbie has one-on-one “talk about the midterm/your grade” office hours today (2:30-4 in CSE 330) Lecture . 17: More . Dijkstra. ’s. and. Minimum Spanning Trees. Aaron Bauer. Winter 2014. Dijkstra’s. Algorithm: Idea. Winter 2014. 2. CSE373: Data Structures & Algorithms. Initially, start node has cost 0 and all other nodes have cost . Lecture . 9: . Binary Heaps, Continued. Kevin Quinn. Fall . 2015. Fall 2015. 2. CSE373: Data Structures & Algorithms. Priority Queue ADT. Binary Heap. Fibonacci Heap. Paring. Heap. Binomial. Heap. Lecture 1: Introduction; ADTs; Stacks/Queues. Dan Grossman. Fall 2013. Welcome!. We have 10 weeks to learn . fundamental data structures and algorithms for organizing and processing information. “Classic” data structures / algorithms and how to analyze rigorously their efficiency and when to use them. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Lecture . 13: . Introduction to Graphs. Dan Grossman. Fall 2013. Graphs. A graph is a formalism for representing relationships among items. Very general definition because very general concept. A . graph.

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