'Binary tree' presentation slideshows

Min-Max Heaps

Min-Max Heaps. A double-ended priority queue is a data structure that supports the following operations: inserting an element with an arbitrary key deleting an element with the largest key deleting an element with the smallest key A Min-Max Heap supports all of the above operations.

2.67k views • 57 slides

CS 445 / 645: Introductory Computer Graphics

CS 445 / 645: Introductory Computer Graphics. Visible Surface Determination. Recap: Rendering Pipeline. Almost finished with the rendering pipeline: Modeling transformations Viewing transformations Projection transformations Clipping Scan conversion

741 views • 48 slides

Union-Find Problem section 12.9.2

2.57k views • 47 slides

Chapter 7 Digital Camera Example

690 views • 47 slides

Vector Space Model : Ranking Revisited

Vector Space Model : Ranking Revisited. Adapted from Lectures by Prabhakar Raghavan (Yahoo and Stanford) and Christopher Manning (Stanford). Recap: tf-idf weighting. The tf-idf weight of a term is the product of its tf weight and its idf weight.

714 views • 46 slides

Agenda

908 views • 45 slides

Chomsky & Greibach Normal Forms

Chomsky & Greibach Normal Forms. Hector Miguel Chavez Western Michigan University. Presentation Outline. Introduction Chomsky normal form Preliminary simplifications Final steps Greibach Normal Form Algorithm (Example) Summary. Introduction. Grammar: G = (V, T, P, S). T = { a, b }.

1.14k views • 44 slides

Noise, Information Theory, and Entropy

776 views • 44 slides

Tournament Trees

Tournament Trees. CSE, POSTECH. Tournament Trees. Used when we need to break ties in a prescribed manner To select the element that was inserted first To select the element on the left

1.48k views • 40 slides

Hashing Technology: Past, Now, and Future

Hashing Technology: Past, Now, and Future. Chin-Chen Chang, Ph.D. Chair Professor Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan. Outlines. 1. Introduction 2. Conventional Methods 3. Collision Resolution Strategies 4. Evaluation 5. Perfect Hashing

622 views • 40 slides

B-Trees

1.26k views • 39 slides

TCSS 342, Winter 2006 Lecture Notes

TCSS 342, Winter 2006 Lecture Notes. Trees Binary Trees Binary Search Trees. Chapter Objectives. Learn about tree structures definition traversal operations Learn about how to implement tree structures linked structures simulated links using arrays computational strategy using arrays

662 views • 37 slides

Basic Concepts of Encoding

Basic Concepts of Encoding. Error Correction vs. Compression The Simplest Parity-Control Error Detection Encoding Shannon- Fano and Huffman Encoding. Redundancy vs. Efficiency.

1.12k views • 34 slides

Additive Models and Trees

Additive Models and Trees. Lecture Notes for CMPUT 466/551 Nilanjan Ray. Principal Source: Department of Statistics, CMU. Topics to cover. GAM: Generalized Additive Models CART: Classification and Regression Trees MARS: Multiple Adaptive Regression Splines. Generalized Additive Models.

1.41k views • 34 slides

AVL-Trees

COMP171 Fall 2005. AVL-Trees. Balanced binary tree. The disadvantage of a binary search tree is that its height can be as large as N-1 This means that the time needed to perform insertion and deletion and many other operations can be O(N) in the worst case We want a tree with small height

1.23k views • 24 slides

Trees

569 views • 23 slides

Verification of FSM Equivalence

Verification of FSM Equivalence. Goal : Verify that two sequential circuit implementations always produce the same sequence of outputs given the same sequence of inputs. out1. out2. i1. i1. M1. M2. Note: both machines are completely specified.

437 views • 19 slides

Amortized Algorithm Analysis

Amortized Algorithm Analysis. COP3503 July 25, 2007 Andy Schwartz. Contents. Indirect Solutions Amortized Analysis Introduction Extendable Array Example Binomial Queue Binomial Queue Example. Indirect Solution. 10 yards / minute 100 yards / minute.

902 views • 16 slides

Basics of Compression

Basics of Compression. Goals: to understand how image/audio/video signals are compressed to save storage and increase transmission efficiency to understand in detail common formats like GIF, JPEG and MPEG. What does compression do. Reduces signal size by taking advantage of correlation

344 views • 15 slides

A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and its complexity

Mark Bloemeke Artificial Intelligence Laboratory University of South Carolina. Marco Valtorta Artificial Intelligence Laboratory University of South Carolina. A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and its complexity. Presentation by. Instructor.

294 views • 10 slides