A Brief Summary for Exam 2

Slides:



Advertisements
Similar presentations
22C:19 Discrete Math Counting Fall 2011 Sukumar Ghosh.
Advertisements

Practice Quiz 3 Recursive Definitions Relations Basic Counting Pigeonhole Principle Permutations & Combinations Discrete Probability.
Recursive Definitions and Structural Induction
Counting Chapter 6 With Question/Answer Animations.
Recursively Defined Functions
Course Outline. Lecture 1 Learning Objectives  To use set notations  To apply operations (union, intersection) on sets  To define de Morgan’s Laws.
CSE 20 DISCRETE MATH Prof. Shachar Lovett Clicker frequency: CA.
Week 5 - Friday.  What did we talk about last time?  Sequences  Summation and production notation  Proof by induction.
Lecture 19 Exam: Tuesday June14 4-6pm Overview. Disclaimer The following is a only study guide. You need to know all the material treated in class.
Lecture 19 Exam: Tuesday June15 4-6pm Overview. General Remarks Expect more questions than before that test your knowledge of the material. (rather then.
Discrete Structures for Computer Science Ruoming Jin MW 5:30 – 6:45pm Fall 2009 rm MSB115.
Recursive Definitions Rosen, 3.4 Recursive (or inductive) Definitions Sometimes easier to define an object in terms of itself. This process is called.
Discrete Structures Chapter 5: Sequences, Mathematical Induction, and Recursion 5.2 Mathematical Induction I [Mathematical induction is] the standard proof.
Copyright © 2007 Pearson Education, Inc. Slide 8-1.
Applied Discrete Mathematics Week 9: Relations
Advanced Counting Techniques
Copyright © 2007 Pearson Education, Inc. Slide 8-1.
Sequences and Series (T) Students will know the form of an Arithmetic sequence.  Arithmetic Sequence: There exists a common difference (d) between each.
Rev.S08 MAC 1140 Module 12 Introduction to Sequences, Counting, The Binomial Theorem, and Mathematical Induction.
Discrete Mathematics CS 2610 March 26, 2009 Skip: structural induction generalized induction Skip section 4.5.
Induction and recursion
Jessie Zhao Course page: 1.
A Brief Summary for Exam 1 Subject Topics Propositional Logic (sections 1.1, 1.2) –Propositions Statement, Truth value, Proposition, Propositional symbol,
Sequences and Series. Quick Review.
Counting. Why counting  Determine the complexity of algorithms To sort n numbers, how many instructions are executed ?  Count the number of objects.
Chapter 8. Section 8. 1 Section Summary Introduction Modeling with Recurrence Relations Fibonacci Numbers The Tower of Hanoi Counting Problems Algorithms.
Advanced Counting Techniques CSC-2259 Discrete Structures Konstantin Busch - LSU1.
Section 5.3. Section Summary Recursively Defined Functions Recursively Defined Sets and Structures Structural Induction.
Chapter 6 With Question/Answer Animations 1. Chapter Summary The Basics of Counting The Pigeonhole Principle Permutations and Combinations Binomial Coefficients.
Chapter 8 With Question/Answer Animations 1. Chapter Summary Applications of Recurrence Relations Solving Linear Recurrence Relations Homogeneous Recurrence.
Notes 9.2 – The Binomial Theorem. I. Alternate Notation A.) Permutations – None B.) Combinations -
Solving Second-Order Recursive Relations Lecture 36 ½ Section 8.3 Wed, Apr 19, 2006.
CSCI 115 Chapter 3 Counting. CSCI 115 §3.1 Permutations.
Copyright © 2007 Pearson Education, Inc. Slide 8-1.
Copyright (c) The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1-1 Chapter 10 Additional Topics in Algebra.
Sequence – a function whose domain is positive integers. Section 9.1 – Sequences.
Advanced Counting Techniques CSC-2259 Discrete Structures Konstantin Busch - LSU1.
1 Topics Recursion sections 8.1 – Recursion A recursively defined sequence –First, certain initial values are specified –Later terms of the sequence.
MAT 4830 Numerical Analysis Binomial Coefficients and Combinatorial Identities
A Brief Summary for Exam 2 Subject Topics Number theory (sections ) –Prime numbers Definition Relative prime Fundamental theorem of arithmetic.
Foundations of Discrete Mathematics Chapters 5 By Dr. Dalia M. Gil, Ph.D.
7.2 Solving Linear Recurrence Relations Some of these recurrence relations can be solved using iteration or some other ad hoc technique. However, one important.
Mathematical Induction Section 5.1. Climbing an Infinite Ladder Suppose we have an infinite ladder: 1.We can reach the first rung of the ladder. 2.If.
Section The Pigeonhole Principle If a flock of 20 pigeons roosts in a set of 19 pigeonholes, one of the pigeonholes must have more than 1 pigeon.
Chapter 5 With Question/Answer Animations 1. Chapter Summary Mathematical Induction - Sec 5.1 Strong Induction and Well-Ordering - Sec 5.2 Lecture 18.
Section Recursion 2  Recursion – defining an object (or function, algorithm, etc.) in terms of itself.  Recursion can be used to define sequences.
Section Recursion  Recursion – defining an object (or function, algorithm, etc.) in terms of itself.  Recursion can be used to define sequences.
1 Lecture Outline for Recurrences Already Covered: Recursive definition of sequences Recursive definition of sets Recursive definition of operations Recursive.
Fall 2002CMSC Discrete Structures1 Chapter 3 Sequences Mathematical Induction Recursion Recursion.
Copyright © Zeph Grunschlag, Induction Zeph Grunschlag.
Paper Code : BCA-03 Paper Title : Mathematics Theory.
MAT 2720 Discrete Mathematics
COCS DISCRETE STRUCTURES
CS 2210 Discrete Structures Counting
Recursively Defined Functions
Lecture 08 Counting Profs. Koike and Yukita
Discrete Math (2) Haiming Chen Associate Professor, PhD
Chapter 8: Further Topics in Algebra
Combinatorics.
A Brief Summary for Exam 1
Notes Over 11.5 Recursive Rules
CSE 321 Discrete Structures
Applied Discrete Mathematics Week 9: Integer Properties
Chapter 11: Further Topics in Algebra
Induction (Section 3.3).
Chapter 10 Counting Methods.
Chapter 11: Further Topics in Algebra
Mathematical Induction
CMPS 2433 Chapter 8 Counting Techniques
Recursion.
Presentation transcript:

A Brief Summary for Exam 2 Subject Topics Mathematical Induction & Recursion (sections 3.1 - 3.5) Sequence and summation Definitions (lower/upper limits, double summation) Useful sequences and their summations (arithmetic, geometric, Fibonacci) Induction Definition and relation to natural number Three parts of the proof basis step, inductive hypothesis, inductive step Strong induction

Recursion Basic idea of recursion Recursive definition of Sequences, functions, sets Two parts: base case and recursion Relations to induction Recursive algorithms Pros and cons (wrt iterative algorithms)

Counting (sections 4.1 – 4.5) Useful rules: Sum rule: disjoint, done at different time |A1  A2| = |A1| + |A2| Product rule: disjoint, done at same time |A1  A2| = |A1| * |A2| Inclusion – exclusion rule: overlapping, done at different time |A1  A2| = |A1| + |A2| - |A1  A2| Pigeonhole Principle Idea and rationale at least one box containing at least N/k of the objects.

Permutations and combinations Definitions of permutations, r-permutations, r-combinations Relationship between permutation and combinations Formulae for (P(n,n), P(n, r), and C(n, r) Pascal triangle and Binomial Coefficients

Recurrence Relations (sections 6.1 and 6.2) Definition of recurrence relation and its solution Relationship with recursive definition Ideas of modeling with recurrence relations Ideas of solving linear homogeneous recurrence relation

Types of Questions Conceptual Problem solving Proofs Definitions of terms True/false Multiple choice Problem solving Work with small concrete example problems Proofs Simple theorems or propositions Especially proof by mathematical induction