Boolean Algebra. Boolean Algebra. Boolean Algebra. Boolean Algebra

Size: px
Start display at page:

Download "Boolean Algebra. Boolean Algebra. Boolean Algebra. Boolean Algebra"

Transcription

1 2 Ver..4 George Boole was an English mathematician of XIX century can operate on logic (or Boolean) variables that can assume just 2 values: /, true/false, on/off, closed/open Usually value is associated to True, while to alse 2 - Claudio ornaro 3 4 Boolean algebra is suited for representing binary events, that is conditions that can assume just 2 values A light bulb can be turned on or off unctions operating on Boolean variables are called Boolean functions and can only produce values or A Boolean function, computed on the Boolean variables v,v 2,...,v n is denoted as: ( v, v2,, v n A Boolean function can be defined in many ways, among them the truth table: a list of the values that produces for every possible combination of the variables )

2 5 6 (v,v 2,v 3 ) can be defined as shown on the right side: Each Boolean variable can assume only 2 values, thus n variables can produce 2 n possible combinations, and each one is a row of the table v 3 v 2 v Description of an event by using a Boolean function To pass a certain exam, a student must match one of the following conditions: s/he passes the written pre-test and then the oral discussion s/he passes the written test and then the oral discussion 7 8 Each event is either independent or dependent (from the independent events) Each event is assigned a Boolean variable: a pre-test, =passed b written test, =passed c oral test, =passed e exam, =passed 3 variables allow 8 (2 3 ) combinations The truth table for the Boolean function passing the exam then is: Meaning of this row: the student passed pre-test (a=), didn t pass (or try) written test (b=) and passed oral test (c=), thus s/he passes the whole exam (e=) a b c e

3 9 After looking carefully, condition a =, b =, and c = cannot happen, because the oral examination can be tried only when the pretest or the written test has been passed (or both) or that combination the exam is not passed, but this is an impossible condition, so it could be useful to indicate a don t care condition (usually represented by a ). A don t care mark will be eventually replaced by either a or a as needed in a next stage Boolean variables can be combined by using Boolean (or logic) operators into Boolean (or logic) expressions The result of a logic operation is still a logic value (true or false) The most important operators are: AND, OR, NOT EXOR NAND, NOR, EXNOR 2 Operator AND (logic product) symbol: (like the algebraic product), it is often omitted it combines 2 values and produces a result following the rules below: = = = = Result is True if both operands are True I go to sea if it is sunny AND it is warm X= it is sunny Y= it is warm Z= I go to sea Z = X Y Both condition must be true to have that I go to the sea be true

4 3 4 Operator OR (Inclusive OR, logic sum) symbol: + (like the algebraic sum) it combines 2 values and produces a result following the rules below: + = + = + = + = Result is True if at least one operand is True I take car if it is raining OR it is cold I use car if it is raining OR it is cold X= it is raining Y= it is cold Z= I use car Z = X + Y At least one condition must be true to have that I use car be true 5 6 Operator NOT symbol: a little line over the variable or the expression to be negated, or just a sign it applies to just one value and produces a result following the rules below: = = Result is True if the operand is alse, and vice versa Operator EX-OR (Exclusive OR) symbol: it combines 2 values and produces a result following the rules below: = = = = Result is True if just one operand is True

5 7 8 Logic Expressions A logic (or Boolean) expression is composed by: logic variables constants and logic operators parentheses Examples a b c ab c(d ae) c e Logic Expressions In a logic expression the operator with the maximum priority is NOT, followed by AND and then OR This means that the following expressions are equivalent = a + b c = a + (b c) 9 2 Logic Expressions Two expressions and 2 are said equivalent when each input variable combination produce the same output value on both functions (they have the same truth tables) s 2 x x Logic Expressions Two expressions and 2 are said complementary when each input variable combination produce an opposite output value on both functions (they have complementary truth tables) s a b 2 a b

6 2 22 Logic Expressions Two expressions and 2 are said dual when: each OR of corresponds to an AND of 2 and vice versa each of corresponds to an of 2 and v.v. the order of operator evaluation is the same a b ( c ) 2 a ( b ( c )) note the added parentheses Logic expression reduction A reduced expression is faster to be evaluated and the corresponding circuit is smaller, faster, and less power consuming Reduction can be accomplished in many ways, among them: Boolean algebra axioms and theorems Karnaugh maps Axioms and Th. Theorem of duality: if an equivalence holds, the dual equivalence holds as well Axioms and theorems. x = x + = 2. x = x x + = x 3. x x = x + x = 4. x x = x x + x = x 5. x y = y x x +y = y +x Axioms and Th. 6. x y z = (x y) z = x+y+z = (x+y) + z = = x (y z) = = x + (y+z) = = y (x z) = y + (x+z) 7. De Morgan s Theorem x y z = x+y+z+ x+y+z+ = x y z 8. x y+x z = x (y+z) (x+y) (x+z) = x+y z 9. x+x y = x x (x+y) = x. x y + x y = x (x+y) (x+y) = x. x+x y = x+y x (x+y) = x y 2. x y = x y+x y = x y x y=x y=x y=xy+xy

7 25 26 Axioms and Th. Some demonstrations 9. x+x y = x +x y = x (+y) = x = x 8. b. (x+y) (x+z) = xx+xz+xy+yz = = x+xz+xy+yz = = x +xz+xy+yz = = x (+z+y)+yz = x +yz = x+yz. x y+x y = x (y+y) = x = x. x+x y = x +xy = x (+y)+xy = x+xy+xy = = x+y rule Axioms and Th. In the previous equalities, variables x, y, and z can be considered both as single variables or as full logic expressions E.g. from rule bis: (a b+c d) + = where the parentheses content is considered as x Note that the complementary of x y is NOT x y, but is x y and this for the De Morgan s Theorem is equal to x+y Examples of reduction Reduce the following expressions. A B AB ( A B) AB A B B ( A B) AB A ( A B) AB rule rule 3b everything rule b 2. ( A B) AB C BA A C B C C rule b rule 4 rule 27 Examples of reduction Another demonstration of rule x+x y = x +xy = x (y+y)+xy = = xy+xy+xy = xy+xy+xy+xy = [rule 4b] = x(y+y)+y(x+x) = x+y Any term in OR may be duplicated, triplicated, etc. following rule 4b (backward): x=x+x+x+ Any term in AND may be duplicated, triplicated, etc. following rule 4a (backward): x=x x x 28

8 29 3 Logic unctions and Truth Tables To obtain the truth table from a logic function, the output value for each combination of the input values must be computed Compute the truth table of the following function: (a,b,c) = (ab + b) c Logic unctions and Truth Tables abc ab b ab + b c (ab+b) c 3 32 Expressions in Canonical orms SP Canonical orm Logical sum of products (SP) Each term (called minterm) is a product of all the variables (some could be affirmed, other negated) Example this expression is composed by 4 minterms (a,b,c) = abc+abc+abc+abc Expressions in Canonical orms PS Canonical orm Logical product of sums (PS) Each term (called maxterm) is a sum of all the variables (some could be affirmed, other negated) Example this expression is composed by 3 maxterms (a,b,c) = (a+b+c) (a+b+c) (a+b+c)

9 33 34 rom Truth Table to SP Because the function must give for some specific combination of input values, for each row with output value : write a product of all the variables (minterm) Each minterm must give for a specific combination of the input variables, so: negate each variable whose value is on the input combination corresponding to the minterm Sum the minterms rom Truth Table to SP a b c abc (a,b,c) = abc+abc+abc+abc rom Truth Table to PS Because the function must give for some specific combination of input values, for each row with output value : write a sum of all the variables (maxterm) Each maxterm must give for a specific combination of the input variables, so: negate each variable whose value is on the input combination corresponding to the maxterm Multiply the maxterms rom Truth Table to PS a b c ( a b c ) (a,b,c)=(a+b+c) (a+b+c) (a+b+c) (a+b+c)

10 37 38 Expressions in Canonical orms To canonicalize an SP expression If in a product a variable is missing (e.g. x) multiply the product by (x+x) and solve removing duplicates Example (x,y,z) = xyz+yz+z = xyz+(x+x)yz+(x+x)(y+y)z = xyz+xyz+xyz+xyz+xyz+xyz+xyz Expressions in Canonical orms To canonicalize a PS expression If in a sum a variable is missing (e.g. x) add to the sum the term x x and solve removing duplicates Example (x,y,z) = (x+y+z) (x+z) x = (x+y+z) (x+yy+z) (x+yy+zz) = (x+y+z) (x+y+z) (x+y+z) etc Logic Circuits A logical function can be implemented in a digital electronic circuit Input variables are input signals Output variables are output signals Signals have just 2 values: low and high, associated to logic values and Logic operators corresponds to logic gates (e.g. in an AND gate, the output signal is high only when the 2 input signals are high) Logic Gates AND OR NOT NAND = NOR = EXOR EX-NOR =

11 4 42 Logic Gates Multiple-input gates exists and are equivalent to more gates connected (thanks to the associative property), but are faster A multiple-input EXOR gate gives when the number of input with value is odd Logic Circuits of logic circuit equivalent to a logic expression = a b + c Note how operator priority is provided by the relative position of the gates a b c Logic Circuits Examples a b c ( a bc) ( abc a b). our doors (A, B, C, and D) separate two rooms. The doors are operated by 3 switches (X, Y, and Z) that, when pressed, close some doors: X closes A and C, Y closes B and D, Z closes B and C. Draw the corresponding truth table that produces only when all the doors are closed. Determine the corresponding function with the least number of variables.

12 45 46 Examples XYZ ABCD D =Door closed (Note the truth table is the bold part, columns ABCD are just intermediate values) D=XYZ+XYZ=XY Examples 2. Design a digital circuit with inputs:. a 2C value D composed by bits a and b 2. a selector: one bit s and outputs:. a 2C value U composed by bits x and y 2. an overflow indicator: one bit w that works in this way: U = D if s= U = D if s= w = if the 2C operation produces an incorrect result 47 Examples sab D U xy w x=sab+sab+sab y=sab+sab+sab+sab w=sab

BOOLEAN ALGEBRA & LOGIC GATES

BOOLEAN ALGEBRA & LOGIC GATES BOOLEAN ALGEBRA & LOGIC GATES Logic gates are electronic circuits that can be used to implement the most elementary logic expressions, also known as Boolean expressions. The logic gate is the most basic

More information

Boolean Algebra Part 1

Boolean Algebra Part 1 Boolean Algebra Part 1 Page 1 Boolean Algebra Objectives Understand Basic Boolean Algebra Relate Boolean Algebra to Logic Networks Prove Laws using Truth Tables Understand and Use First Basic Theorems

More information

1. True or False? A voltage level in the range 0 to 2 volts is interpreted as a binary 1.

1. True or False? A voltage level in the range 0 to 2 volts is interpreted as a binary 1. File: chap04, Chapter 04 1. True or False? A voltage level in the range 0 to 2 volts is interpreted as a binary 1. 2. True or False? A gate is a device that accepts a single input signal and produces one

More information

Logic in Computer Science: Logic Gates

Logic in Computer Science: Logic Gates Logic in Computer Science: Logic Gates Lila Kari The University of Western Ontario Logic in Computer Science: Logic Gates CS2209, Applied Logic for Computer Science 1 / 49 Logic and bit operations Computers

More information

Switching Algebra and Logic Gates

Switching Algebra and Logic Gates Chapter 2 Switching Algebra and Logic Gates The word algebra in the title of this chapter should alert you that more mathematics is coming. No doubt, some of you are itching to get on with digital design

More information

Unit 3 Boolean Algebra (Continued)

Unit 3 Boolean Algebra (Continued) Unit 3 Boolean Algebra (Continued) 1. Exclusive-OR Operation 2. Consensus Theorem Department of Communication Engineering, NCTU 1 3.1 Multiplying Out and Factoring Expressions Department of Communication

More information

Karnaugh Maps & Combinational Logic Design. ECE 152A Winter 2012

Karnaugh Maps & Combinational Logic Design. ECE 152A Winter 2012 Karnaugh Maps & Combinational Logic Design ECE 52A Winter 22 Reading Assignment Brown and Vranesic 4 Optimized Implementation of Logic Functions 4. Karnaugh Map 4.2 Strategy for Minimization 4.2. Terminology

More information

CSEE 3827: Fundamentals of Computer Systems. Standard Forms and Simplification with Karnaugh Maps

CSEE 3827: Fundamentals of Computer Systems. Standard Forms and Simplification with Karnaugh Maps CSEE 3827: Fundamentals of Computer Systems Standard Forms and Simplification with Karnaugh Maps Agenda (M&K 2.3-2.5) Standard Forms Product-of-Sums (PoS) Sum-of-Products (SoP) converting between Min-terms

More information

Karnaugh Maps. Circuit-wise, this leads to a minimal two-level implementation

Karnaugh Maps. Circuit-wise, this leads to a minimal two-level implementation Karnaugh Maps Applications of Boolean logic to circuit design The basic Boolean operations are AND, OR and NOT These operations can be combined to form complex expressions, which can also be directly translated

More information

Basic Logic Gates Richard E. Haskell

Basic Logic Gates Richard E. Haskell BASIC LOGIC GATES 1 E Basic Logic Gates Richard E. Haskell All digital systems are made from a few basic digital circuits that we call logic gates. These circuits perform the basic logic functions that

More information

Logic Reference Guide

Logic Reference Guide Logic eference Guide Advanced Micro evices INTOUCTION Throughout this data book and design guide we have assumed that you have a good working knowledge of logic. Unfortunately, there always comes a time

More information

CHAPTER 3 Boolean Algebra and Digital Logic

CHAPTER 3 Boolean Algebra and Digital Logic CHAPTER 3 Boolean Algebra and Digital Logic 3.1 Introduction 121 3.2 Boolean Algebra 122 3.2.1 Boolean Expressions 123 3.2.2 Boolean Identities 124 3.2.3 Simplification of Boolean Expressions 126 3.2.4

More information

United States Naval Academy Electrical and Computer Engineering Department. EC262 Exam 1

United States Naval Academy Electrical and Computer Engineering Department. EC262 Exam 1 United States Naval Academy Electrical and Computer Engineering Department EC262 Exam 29 September 2. Do a page check now. You should have pages (cover & questions). 2. Read all problems in their entirety.

More information

CH3 Boolean Algebra (cont d)

CH3 Boolean Algebra (cont d) CH3 Boolean Algebra (cont d) Lecturer: 吳 安 宇 Date:2005/10/7 ACCESS IC LAB v Today, you ll know: Introduction 1. Guidelines for multiplying out/factoring expressions 2. Exclusive-OR and Equivalence operations

More information

Gates, Circuits, and Boolean Algebra

Gates, Circuits, and Boolean Algebra Gates, Circuits, and Boolean Algebra Computers and Electricity A gate is a device that performs a basic operation on electrical signals Gates are combined into circuits to perform more complicated tasks

More information

Chapter 2: Boolean Algebra and Logic Gates. Boolean Algebra

Chapter 2: Boolean Algebra and Logic Gates. Boolean Algebra The Universit Of Alabama in Huntsville Computer Science Chapter 2: Boolean Algebra and Logic Gates The Universit Of Alabama in Huntsville Computer Science Boolean Algebra The algebraic sstem usuall used

More information

CSE140: Midterm 1 Solution and Rubric

CSE140: Midterm 1 Solution and Rubric CSE140: Midterm 1 Solution and Rubric April 23, 2014 1 Short Answers 1.1 True or (6pts) 1. A maxterm must include all input variables (1pt) True 2. A canonical product of sums is a product of minterms

More information

exclusive-or and Binary Adder R eouven Elbaz reouven@uwaterloo.ca Office room: DC3576

exclusive-or and Binary Adder R eouven Elbaz reouven@uwaterloo.ca Office room: DC3576 exclusive-or and Binary Adder R eouven Elbaz reouven@uwaterloo.ca Office room: DC3576 Outline exclusive OR gate (XOR) Definition Properties Examples of Applications Odd Function Parity Generation and Checking

More information

Combinational circuits

Combinational circuits Combinational circuits Combinational circuits are stateless The outputs are functions only of the inputs Inputs Combinational circuit Outputs 3 Thursday, September 2, 3 Enabler Circuit (High-level view)

More information

Simplifying Logic Circuits with Karnaugh Maps

Simplifying Logic Circuits with Karnaugh Maps Simplifying Logic Circuits with Karnaugh Maps The circuit at the top right is the logic equivalent of the Boolean expression: f = abc + abc + abc Now, as we have seen, this expression can be simplified

More information

2.0 Chapter Overview. 2.1 Boolean Algebra

2.0 Chapter Overview. 2.1 Boolean Algebra Thi d t t d ith F M k 4 0 2 Boolean Algebra Chapter Two Logic circuits are the basis for modern digital computer systems. To appreciate how computer systems operate you will need to understand digital

More information

Boolean Algebra (cont d) UNIT 3 BOOLEAN ALGEBRA (CONT D) Guidelines for Multiplying Out and Factoring. Objectives. Iris Hui-Ru Jiang Spring 2010

Boolean Algebra (cont d) UNIT 3 BOOLEAN ALGEBRA (CONT D) Guidelines for Multiplying Out and Factoring. Objectives. Iris Hui-Ru Jiang Spring 2010 Boolean Algebra (cont d) 2 Contents Multiplying out and factoring expressions Exclusive-OR and Exclusive-NOR operations The consensus theorem Summary of algebraic simplification Proving validity of an

More information

Two-level logic using NAND gates

Two-level logic using NAND gates CSE140: Components and Design Techniques for Digital Systems Two and Multilevel logic implementation Tajana Simunic Rosing 1 Two-level logic using NND gates Replace minterm ND gates with NND gates Place

More information

3.Basic Gate Combinations

3.Basic Gate Combinations 3.Basic Gate Combinations 3.1 TTL NAND Gate In logic circuits transistors play the role of switches. For those in the TTL gate the conducting state (on) occurs when the baseemmiter signal is high, and

More information

CSE140: Components and Design Techniques for Digital Systems

CSE140: Components and Design Techniques for Digital Systems CSE4: Components and Design Techniques for Digital Systems Tajana Simunic Rosing What we covered thus far: Number representations Logic gates Boolean algebra Introduction to CMOS HW#2 due, HW#3 assigned

More information

Introduction. The Quine-McCluskey Method Handout 5 January 21, 2016. CSEE E6861y Prof. Steven Nowick

Introduction. The Quine-McCluskey Method Handout 5 January 21, 2016. CSEE E6861y Prof. Steven Nowick CSEE E6861y Prof. Steven Nowick The Quine-McCluskey Method Handout 5 January 21, 2016 Introduction The Quine-McCluskey method is an exact algorithm which finds a minimum-cost sum-of-products implementation

More information

A single register, called the accumulator, stores the. operand before the operation, and stores the result. Add y # add y from memory to the acc

A single register, called the accumulator, stores the. operand before the operation, and stores the result. Add y # add y from memory to the acc Other architectures Example. Accumulator-based machines A single register, called the accumulator, stores the operand before the operation, and stores the result after the operation. Load x # into acc

More information

Section 1. Finding Common Terms

Section 1. Finding Common Terms Worksheet 2.1 Factors of Algebraic Expressions Section 1 Finding Common Terms In worksheet 1.2 we talked about factors of whole numbers. Remember, if a b = ab then a is a factor of ab and b is a factor

More information

Factoring - Grouping

Factoring - Grouping 6.2 Factoring - Grouping Objective: Factor polynomials with four terms using grouping. The first thing we will always do when factoring is try to factor out a GCF. This GCF is often a monomial like in

More information

Understanding Logic Design

Understanding Logic Design Understanding Logic Design ppendix of your Textbook does not have the needed background information. This document supplements it. When you write add DD R0, R1, R2, you imagine something like this: R1

More information

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 Proofs Intuitively, the concept of proof should already be familiar We all like to assert things, and few of us

More information

DEPARTMENT OF INFORMATION TECHNLOGY

DEPARTMENT OF INFORMATION TECHNLOGY DRONACHARYA GROUP OF INSTITUTIONS, GREATER NOIDA Affiliated to Mahamaya Technical University, Noida Approved by AICTE DEPARTMENT OF INFORMATION TECHNLOGY Lab Manual for Computer Organization Lab ECS-453

More information

Digital circuits make up all computers and computer systems. The operation of digital circuits is based on

Digital circuits make up all computers and computer systems. The operation of digital circuits is based on Digital Logic Circuits Digital circuits make up all computers and computer systems. The operation of digital circuits is based on Boolean algebra, the mathematics of binary numbers. Boolean algebra is

More information

FORDHAM UNIVERSITY CISC 3593. Dept. of Computer and Info. Science Spring, 2011. Lab 2. The Full-Adder

FORDHAM UNIVERSITY CISC 3593. Dept. of Computer and Info. Science Spring, 2011. Lab 2. The Full-Adder FORDHAM UNIVERSITY CISC 3593 Fordham College Lincoln Center Computer Organization Dept. of Computer and Info. Science Spring, 2011 Lab 2 The Full-Adder 1 Introduction In this lab, the student will construct

More information

Take-Home Exercise. z y x. Erik Jonsson School of Engineering and Computer Science. The University of Texas at Dallas

Take-Home Exercise. z y x. Erik Jonsson School of Engineering and Computer Science. The University of Texas at Dallas Take-Home Exercise Assume you want the counter below to count mod-6 backward. That is, it would count 0-5-4-3-2-1-0, etc. Assume it is reset on startup, and design the wiring to make the counter count

More information

Binary Adders: Half Adders and Full Adders

Binary Adders: Half Adders and Full Adders Binary Adders: Half Adders and Full Adders In this set of slides, we present the two basic types of adders: 1. Half adders, and 2. Full adders. Each type of adder functions to add two binary bits. In order

More information

BEGINNING ALGEBRA ACKNOWLEDMENTS

BEGINNING ALGEBRA ACKNOWLEDMENTS BEGINNING ALGEBRA The Nursing Department of Labouré College requested the Department of Academic Planning and Support Services to help with mathematics preparatory materials for its Bachelor of Science

More information

Boolean Design of Patterns

Boolean Design of Patterns 123 Boolean Design of Patterns Basic weave structures interlacement patterns can be described in many ways, but they all come down to representing the crossings of warp and weft threads. One or the other

More information

Gates & Boolean Algebra. Boolean Operators. Combinational Logic. Introduction

Gates & Boolean Algebra. Boolean Operators. Combinational Logic. Introduction Introduction Gates & Boolean lgebra Boolean algebra: named after mathematician George Boole (85 864). 2-valued algebra. digital circuit can have one of 2 values. Signal between and volt =, between 4 and

More information

Combinational Logic Design

Combinational Logic Design Chapter 4 Combinational Logic Design The foundations for the design of digital logic circuits were established in the preceding chapters. The elements of Boolean algebra (two-element switching algebra

More information

Digital Logic Design. Basics Combinational Circuits Sequential Circuits. Pu-Jen Cheng

Digital Logic Design. Basics Combinational Circuits Sequential Circuits. Pu-Jen Cheng Digital Logic Design Basics Combinational Circuits Sequential Circuits Pu-Jen Cheng Adapted from the slides prepared by S. Dandamudi for the book, Fundamentals of Computer Organization and Design. Introduction

More information

Factoring - Greatest Common Factor

Factoring - Greatest Common Factor 6.1 Factoring - Greatest Common Factor Objective: Find the greatest common factor of a polynomial and factor it out of the expression. The opposite of multiplying polynomials together is factoring polynomials.

More information

DESIGN OF GATE NETWORKS

DESIGN OF GATE NETWORKS DESIGN OF GATE NETWORKS DESIGN OF TWO-LEVEL NETWORKS: and-or and or-and NETWORKS MINIMAL TWO-LEVEL NETWORKS KARNAUGH MAPS MINIMIZATION PROCEDURE AND TOOLS LIMITATIONS OF TWO-LEVEL NETWORKS DESIGN OF TWO-LEVEL

More information

Click on the links below to jump directly to the relevant section

Click on the links below to jump directly to the relevant section Click on the links below to jump directly to the relevant section What is algebra? Operations with algebraic terms Mathematical properties of real numbers Order of operations What is Algebra? Algebra is

More information

1.4. Arithmetic of Algebraic Fractions. Introduction. Prerequisites. Learning Outcomes

1.4. Arithmetic of Algebraic Fractions. Introduction. Prerequisites. Learning Outcomes Arithmetic of Algebraic Fractions 1.4 Introduction Just as one whole number divided by another is called a numerical fraction, so one algebraic expression divided by another is known as an algebraic fraction.

More information

2 : two cube. 5 : five cube. 10 : ten cube.

2 : two cube. 5 : five cube. 10 : ten cube. Math 105 TOPICS IN MATHEMATICS REVIEW OF LECTURES VI Instructor: Line #: 52920 Yasuyuki Kachi 6 Cubes February 2 Mon, 2015 We can similarly define the notion of cubes/cubing Like we did last time, 3 2

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. CHAPTER3 QUESTIONS MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. ) If one input of an AND gate is LOW while the other is a clock signal, the output

More information

INCIDENCE-BETWEENNESS GEOMETRY

INCIDENCE-BETWEENNESS GEOMETRY INCIDENCE-BETWEENNESS GEOMETRY MATH 410, CSUSM. SPRING 2008. PROFESSOR AITKEN This document covers the geometry that can be developed with just the axioms related to incidence and betweenness. The full

More information

Read-only memory Implementing logic with ROM Programmable logic devices Implementing logic with PLDs Static hazards

Read-only memory Implementing logic with ROM Programmable logic devices Implementing logic with PLDs Static hazards Points ddressed in this Lecture Lecture 8: ROM Programmable Logic Devices Professor Peter Cheung Department of EEE, Imperial College London Read-only memory Implementing logic with ROM Programmable logic

More information

Factoring Polynomials

Factoring Polynomials Factoring Polynomials 4-1-2014 The opposite of multiplying polynomials is factoring. Why would you want to factor a polynomial? Let p(x) be a polynomial. p(c) = 0 is equivalent to x c dividing p(x). Recall

More information

plc numbers - 13.1 Encoded values; BCD and ASCII Error detection; parity, gray code and checksums

plc numbers - 13.1 Encoded values; BCD and ASCII Error detection; parity, gray code and checksums plc numbers - 3. Topics: Number bases; binary, octal, decimal, hexadecimal Binary calculations; s compliments, addition, subtraction and Boolean operations Encoded values; BCD and ASCII Error detection;

More information

CHAPTER 3. Methods of Proofs. 1. Logical Arguments and Formal Proofs

CHAPTER 3. Methods of Proofs. 1. Logical Arguments and Formal Proofs CHAPTER 3 Methods of Proofs 1. Logical Arguments and Formal Proofs 1.1. Basic Terminology. An axiom is a statement that is given to be true. A rule of inference is a logical rule that is used to deduce

More information

Figure 8-1 Four Possible Results of Adding Two Bits

Figure 8-1 Four Possible Results of Adding Two Bits CHPTER EIGHT Combinational Logic pplications Thus far, our discussion has focused on the theoretical design issues of computer systems. We have not yet addressed any of the actual hardware you might find

More information

Lecture 8: Synchronous Digital Systems

Lecture 8: Synchronous Digital Systems Lecture 8: Synchronous Digital Systems The distinguishing feature of a synchronous digital system is that the circuit only changes in response to a system clock. For example, consider the edge triggered

More information

So let us begin our quest to find the holy grail of real analysis.

So let us begin our quest to find the holy grail of real analysis. 1 Section 5.2 The Complete Ordered Field: Purpose of Section We present an axiomatic description of the real numbers as a complete ordered field. The axioms which describe the arithmetic of the real numbers

More information

To Evaluate an Algebraic Expression

To Evaluate an Algebraic Expression 1.5 Evaluating Algebraic Expressions 1.5 OBJECTIVES 1. Evaluate algebraic expressions given any signed number value for the variables 2. Use a calculator to evaluate algebraic expressions 3. Find the sum

More information

FINDING THE LEAST COMMON DENOMINATOR

FINDING THE LEAST COMMON DENOMINATOR 0 (7 18) Chapter 7 Rational Expressions GETTING MORE INVOLVED 7. Discussion. Evaluate each expression. a) One-half of 1 b) One-third of c) One-half of x d) One-half of x 7. Exploration. Let R 6 x x 0 x

More information

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 3 Binary Operations We are used to addition and multiplication of real numbers. These operations combine two real numbers

More information

FORDHAM UNIVERSITY CISC 3593. Dept. of Computer and Info. Science Spring, 2011. The Binary Adder

FORDHAM UNIVERSITY CISC 3593. Dept. of Computer and Info. Science Spring, 2011. The Binary Adder FORDHAM UNIVERITY CIC 3593 Fordham College Lincoln Center Computer Organization Dept. of Computer and Info. cience pring, 2011 1 Introduction The Binar Adder The binar adder circuit is an important building

More information

Properties of Real Numbers

Properties of Real Numbers 16 Chapter P Prerequisites P.2 Properties of Real Numbers What you should learn: Identify and use the basic properties of real numbers Develop and use additional properties of real numbers Why you should

More information

MATH 10034 Fundamental Mathematics IV

MATH 10034 Fundamental Mathematics IV MATH 0034 Fundamental Mathematics IV http://www.math.kent.edu/ebooks/0034/funmath4.pdf Department of Mathematical Sciences Kent State University January 2, 2009 ii Contents To the Instructor v Polynomials.

More information

COMPUTER SCIENCE. Paper 1 (THEORY)

COMPUTER SCIENCE. Paper 1 (THEORY) COMPUTER SCIENCE Paper 1 (THEORY) (Three hours) Maximum Marks: 70 (Candidates are allowed additional 15 minutes for only reading the paper. They must NOT start writing during this time) -----------------------------------------------------------------------------------------------------------------------

More information

SECTION C [short essay] [Not to exceed 120 words, Answer any SIX questions. Each question carries FOUR marks] 6 x 4=24 marks

SECTION C [short essay] [Not to exceed 120 words, Answer any SIX questions. Each question carries FOUR marks] 6 x 4=24 marks UNIVERSITY OF KERALA First Degree Programme in Computer Applications Model Question Paper Semester I Course Code- CP 1121 Introduction to Computer Science TIME : 3 hrs Maximum Mark: 80 SECTION A [Very

More information

6.080/6.089 GITCS Feb 12, 2008. Lecture 3

6.080/6.089 GITCS Feb 12, 2008. Lecture 3 6.8/6.89 GITCS Feb 2, 28 Lecturer: Scott Aaronson Lecture 3 Scribe: Adam Rogal Administrivia. Scribe notes The purpose of scribe notes is to transcribe our lectures. Although I have formal notes of my

More information

DERIVATIVES AS MATRICES; CHAIN RULE

DERIVATIVES AS MATRICES; CHAIN RULE DERIVATIVES AS MATRICES; CHAIN RULE 1. Derivatives of Real-valued Functions Let s first consider functions f : R 2 R. Recall that if the partial derivatives of f exist at the point (x 0, y 0 ), then we

More information

Chapter 1. Computation theory

Chapter 1. Computation theory Chapter 1. Computation theory In this chapter we will describe computation logic for the machines. This topic is a wide interdisciplinary field, so that the students can work in an interdisciplinary context.

More information

C H A P T E R Regular Expressions regular expression

C H A P T E R Regular Expressions regular expression 7 CHAPTER Regular Expressions Most programmers and other power-users of computer systems have used tools that match text patterns. You may have used a Web search engine with a pattern like travel cancun

More information

CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation

CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation Prof. David Marshall School of Computer Science & Informatics Factorisation Factorisation is a way of

More information

CHAPTER 2. Logic. 1. Logic Definitions. Notation: Variables are used to represent propositions. The most common variables used are p, q, and r.

CHAPTER 2. Logic. 1. Logic Definitions. Notation: Variables are used to represent propositions. The most common variables used are p, q, and r. CHAPTER 2 Logic 1. Logic Definitions 1.1. Propositions. Definition 1.1.1. A proposition is a declarative sentence that is either true (denoted either T or 1) or false (denoted either F or 0). Notation:

More information

Karnaugh Maps (K-map) Alternate representation of a truth table

Karnaugh Maps (K-map) Alternate representation of a truth table Karnaugh Maps (K-map) lternate representation of a truth table Red decimal = minterm value Note that is the MS for this minterm numbering djacent squares have distance = 1 Valuable tool for logic minimization

More information

Matrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws.

Matrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Matrix Algebra A. Doerr Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Some Basic Matrix Laws Assume the orders of the matrices are such that

More information

How To Factor By Gcf In Algebra 1.5

How To Factor By Gcf In Algebra 1.5 7-2 Factoring by GCF Warm Up Lesson Presentation Lesson Quiz Algebra 1 Warm Up Simplify. 1. 2(w + 1) 2. 3x(x 2 4) 2w + 2 3x 3 12x Find the GCF of each pair of monomials. 3. 4h 2 and 6h 2h 4. 13p and 26p

More information

Lecture 5: Gate Logic Logic Optimization

Lecture 5: Gate Logic Logic Optimization Lecture 5: Gate Logic Logic Optimization MAH, AEN EE271 Lecture 5 1 Overview Reading McCluskey, Logic Design Principles- or any text in boolean algebra Introduction We could design at the level of irsim

More information

Solutions Manual for How to Read and Do Proofs

Solutions Manual for How to Read and Do Proofs Solutions Manual for How to Read and Do Proofs An Introduction to Mathematical Thought Processes Sixth Edition Daniel Solow Department of Operations Weatherhead School of Management Case Western Reserve

More information

AMC 10 Solutions Pamphlet TUESDAY, FEBRUARY 13, 2001 Sponsored by Mathematical Association of America University of Nebraska

AMC 10 Solutions Pamphlet TUESDAY, FEBRUARY 13, 2001 Sponsored by Mathematical Association of America University of Nebraska OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO AMERICAN MATHEMATICS COMPETITIONS nd Annual Mathematics Contest 10 AMC 10 Solutions Pamphlet TUESDAY, FEBRUARY 1, 001

More information

Chapter 3. Cartesian Products and Relations. 3.1 Cartesian Products

Chapter 3. Cartesian Products and Relations. 3.1 Cartesian Products Chapter 3 Cartesian Products and Relations The material in this chapter is the first real encounter with abstraction. Relations are very general thing they are a special type of subset. After introducing

More information

Algebraic expressions are a combination of numbers and variables. Here are examples of some basic algebraic expressions.

Algebraic expressions are a combination of numbers and variables. Here are examples of some basic algebraic expressions. Page 1 of 13 Review of Linear Expressions and Equations Skills involving linear equations can be divided into the following groups: Simplifying algebraic expressions. Linear expressions. Solving linear

More information

Lecture 12: More on Registers, Multiplexers, Decoders, Comparators and Wot- Nots

Lecture 12: More on Registers, Multiplexers, Decoders, Comparators and Wot- Nots Lecture 12: More on Registers, Multiplexers, Decoders, Comparators and Wot- Nots Registers As you probably know (if you don t then you should consider changing your course), data processing is usually

More information

Digital Electronics Part I Combinational and Sequential Logic. Dr. I. J. Wassell

Digital Electronics Part I Combinational and Sequential Logic. Dr. I. J. Wassell Digital Electronics Part I Combinational and Sequential Logic Dr. I. J. Wassell Introduction Aims To familiarise students with Combinational logic circuits Sequential logic circuits How digital logic gates

More information

A Course Material on DIGITAL PRINCIPLES AND SYSTEM DESIGN

A Course Material on DIGITAL PRINCIPLES AND SYSTEM DESIGN A Course Material on By MS.G.MANJULA ASSISTANT PROFESSOR DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING SASURIE COLLEGE OF ENGINEERING VIJAYAMANGALAM 638 56 QUALITY CERTIFICATE This is to certify

More information

Rotation Matrices and Homogeneous Transformations

Rotation Matrices and Homogeneous Transformations Rotation Matrices and Homogeneous Transformations A coordinate frame in an n-dimensional space is defined by n mutually orthogonal unit vectors. In particular, for a two-dimensional (2D) space, i.e., n

More information

SAT Math Facts & Formulas Review Quiz

SAT Math Facts & Formulas Review Quiz Test your knowledge of SAT math facts, formulas, and vocabulary with the following quiz. Some questions are more challenging, just like a few of the questions that you ll encounter on the SAT; these questions

More information

Sequences. A sequence is a list of numbers, or a pattern, which obeys a rule.

Sequences. A sequence is a list of numbers, or a pattern, which obeys a rule. Sequences A sequence is a list of numbers, or a pattern, which obeys a rule. Each number in a sequence is called a term. ie the fourth term of the sequence 2, 4, 6, 8, 10, 12... is 8, because it is the

More information

Chapter 5. Rational Expressions

Chapter 5. Rational Expressions 5.. Simplify Rational Expressions KYOTE Standards: CR ; CA 7 Chapter 5. Rational Expressions Definition. A rational expression is the quotient P Q of two polynomials P and Q in one or more variables, where

More information

Adder.PPT(10/1/2009) 5.1. Lecture 13. Adder Circuits

Adder.PPT(10/1/2009) 5.1. Lecture 13. Adder Circuits Adder.T(//29) 5. Lecture 3 Adder ircuits Objectives Understand how to add both signed and unsigned numbers Appreciate how the delay of an adder circuit depends on the data values that are being added together

More information

Lecture 2 Matrix Operations

Lecture 2 Matrix Operations Lecture 2 Matrix Operations transpose, sum & difference, scalar multiplication matrix multiplication, matrix-vector product matrix inverse 2 1 Matrix transpose transpose of m n matrix A, denoted A T or

More information

CDA 3200 Digital Systems. Instructor: Dr. Janusz Zalewski Developed by: Dr. Dahai Guo Spring 2012

CDA 3200 Digital Systems. Instructor: Dr. Janusz Zalewski Developed by: Dr. Dahai Guo Spring 2012 CDA 3200 Digital Systems Instructor: Dr. Janusz Zalewski Developed by: Dr. Dahai Guo Spring 2012 Outline Multi-Level Gate Circuits NAND and NOR Gates Design of Two-Level Circuits Using NAND and NOR Gates

More information

Welcome to Math 19500 Video Lessons. Stanley Ocken. Department of Mathematics The City College of New York Fall 2013

Welcome to Math 19500 Video Lessons. Stanley Ocken. Department of Mathematics The City College of New York Fall 2013 Welcome to Math 19500 Video Lessons Prof. Department of Mathematics The City College of New York Fall 2013 An important feature of the following Beamer slide presentations is that you, the reader, move

More information

Class One: Degree Sequences

Class One: Degree Sequences Class One: Degree Sequences For our purposes a graph is a just a bunch of points, called vertices, together with lines or curves, called edges, joining certain pairs of vertices. Three small examples of

More information

6. BOOLEAN LOGIC DESIGN

6. BOOLEAN LOGIC DESIGN 6. OOLEN LOGI DESIGN 89 Topics: oolean algebra onverting between oolean algebra and logic gates and ladder logic Logic examples Objectives: e able to simplify designs with oolean algebra 6. INTRODUTION

More information

Factoring Trinomials of the Form x 2 bx c

Factoring Trinomials of the Form x 2 bx c 4.2 Factoring Trinomials of the Form x 2 bx c 4.2 OBJECTIVES 1. Factor a trinomial of the form x 2 bx c 2. Factor a trinomial containing a common factor NOTE The process used to factor here is frequently

More information

FACTORING OUT COMMON FACTORS

FACTORING OUT COMMON FACTORS 278 (6 2) Chapter 6 Factoring 6.1 FACTORING OUT COMMON FACTORS In this section Prime Factorization of Integers Greatest Common Factor Finding the Greatest Common Factor for Monomials Factoring Out the

More information

1.3 Polynomials and Factoring

1.3 Polynomials and Factoring 1.3 Polynomials and Factoring Polynomials Constant: a number, such as 5 or 27 Variable: a letter or symbol that represents a value. Term: a constant, variable, or the product or a constant and variable.

More information

Negative Integer Exponents

Negative Integer Exponents 7.7 Negative Integer Exponents 7.7 OBJECTIVES. Define the zero exponent 2. Use the definition of a negative exponent to simplify an expression 3. Use the properties of exponents to simplify expressions

More information

Binary full adder. 2-bit ripple-carry adder. CSE 370 Spring 2006 Introduction to Digital Design Lecture 12: Adders

Binary full adder. 2-bit ripple-carry adder. CSE 370 Spring 2006 Introduction to Digital Design Lecture 12: Adders SE 370 Spring 2006 Introduction to Digital Design Lecture 12: dders Last Lecture Ls and Ls Today dders inary full 1-bit full omputes sum, carry-out arry-in allows cascaded s = xor xor = + + 32 ND2 11 ND2

More information

So far we have investigated combinational logic for which the output of the logic devices/circuits depends only on the present state of the inputs.

So far we have investigated combinational logic for which the output of the logic devices/circuits depends only on the present state of the inputs. equential Logic o far we have investigated combinational logic for which the output of the logic devices/circuits depends only on the present state of the inputs. In sequential logic the output of the

More information

Let s put together a Manual Processor

Let s put together a Manual Processor Lecture 14 Let s put together a Manual Processor Hardware Lecture 14 Slide 1 The processor Inside every computer there is at least one processor which can take an instruction, some operands and produce

More information

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook. Elementary Number Theory and Methods of Proof CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.edu/~cse215 1 Number theory Properties: 2 Properties of integers (whole

More information

Using the ac Method to Factor

Using the ac Method to Factor 4.6 Using the ac Method to Factor 4.6 OBJECTIVES 1. Use the ac test to determine factorability 2. Use the results of the ac test 3. Completely factor a trinomial In Sections 4.2 and 4.3 we used the trial-and-error

More information

Lecture Notes in Discrete Mathematics. Marcel B. Finan Arkansas Tech University c All Rights Reserved

Lecture Notes in Discrete Mathematics. Marcel B. Finan Arkansas Tech University c All Rights Reserved Lecture Notes in Discrete Mathematics Marcel B. Finan Arkansas Tech University c All Rights Reserved 2 Preface This book is designed for a one semester course in discrete mathematics for sophomore or junior

More information