COMP26120: Algorithms and Imperative Programming

Size: px
Start display at page:

Download "COMP26120: Algorithms and Imperative Programming"

Transcription

1 COMP26120 ecure C3 1/48 COMP26120: Algorihms and Imperaive Programming ecure C3: C - Recursive Daa Srucures Pee Jinks School of Compuer Science, Universiy of Mancheser Auumn 2011

2 COMP26120 ecure C3 2/48 Review Inpu/Oupu: sdio, sreams/fie*, (f)prinf, fges, (s)scanf Arrays: 1-D + muli-d, Srings Poiners: &, *, Reference, Array + Funcion Parameers Daa srucures: Sruc, Union, Enum Simpler ype-names: Typedef Poiners again: Malloc C doesn have Garbage Collecion: Free, Valgrind

3 COMP26120 ecure C3 3/48 ecure Ouline inked iss (ab 8) ab 8.1: Inser a sar of lis ab 8.2: Inser a end of lis ab 8.3: Inser in order ab 8.6: Poiner o Poiner Make & Makefiles Implemening Make Trees (ab 9)

4 COMP26120 ecure C3 inked iss (ab 8) 5/48 Wha is a inked is? e.g. a lis of 3 iems, wih each iem conaining a sruc person {char *name; in age;}; s a r name1 age1 name2 age2 name3 age3 N U The firs iem in a lis is he head and he res of he lis is he ail. (so a lis of jus 1 iem has an empy ail)

5 OMP26120 ecure C3 inked iss (ab 8) 6/48 Implemenaion Moodle heme: Informaion Represenaion Moodle: inked iss Q: How do we need o change sruc person {char *name; in age;};? Q: How do we declare and iniialise he lis o be empy?

6 COMP26120 ecure C3 inked iss (ab 8) 8/48 e.g. pu (name4, age4) a sar of lis n e w s name4 a r age4 o l d s a r name1 age1 name2 age2 name3 age3 N U

7 COMP26120 ecure C3 inked iss (ab 8) 9/48 Quesion: C code? Creae and iniialse new person, and inser a sar of lis, seing new sar

8 COMP26120 ecure C3 inked iss (ab 8) 11/48 e.g. pu (name4, age4) a end of lis name4 age4 N U s a name1 name2 name3 r age1 age2 age3

9 OMP26120 ecure C3 inked iss (ab 8) 12/48 Implemenaion Q: If he curren lis is empy? Q: If i isn empy, we need o find he las iem in he lis and hen? Q: How o find he las iem in he lis?

10 COMP26120 ecure C3 inked iss (ab 8) 14/48 e.g. pu (name4, age4) in lis suppose name1 < name4 < name2 < name3 name4 age4 s a r name1 age1 name2 age2 name3 age3 N U

11 COMP26120 ecure C3 inked iss (ab 8) 16/48 Implemenaion Trickier, because each es becomes wo: eiher here isn anoher iem on he lis or here is, and he new iem should precede i if lis is empy or new person < firs lis iem inser new person a sar of lis oherwise loop down he lis unil new person should immediaely follow lis iem eiher because lis iem < new person < (lis iem >nex) or because lis iem is he end of he lis and inser here

12 COMP26120 ecure C3 inked iss (ab 8) 19/48 ** In C, a poiner can poin o anyhing, even anoher poiner e.g. in i; in *p = &i; in **p2p = &p; **p= 1; If we use sruc person** p2p; we can combine similar ess (in he iniial if and in he loop) and reduce he amoun of code.

13 COMP26120 ecure C3 inked iss (ab 8) 20/48 p2p = &sar; sruc person** p2p; sruc person* sar; p 2 p s a r name1 age1 name2 age2 name3 age3 N U

14 COMP26120 ecure C3 inked iss (ab 8) 21/48 p2p = &sar; (*p2p) >name is name1 p 2 p s a r name1 age1 name2 age2 name3 age3 N U *p2p or (*p2p) is he value of sar (*p2p)->name is he value of sar->name i.e. name1

15 COMP26120 ecure C3 inked iss (ab 8) 22/48 Sep along lis p 2 p s a r name1 age1 name2 age2 name3 age3 N U *p2p or (*p2p) is he value of sar (*p2p)->nex is he value of sar->nex &((*p2p)->nex) is a poiner o sar->nex

16 COMP26120 ecure C3 inked iss (ab 8) 23/48 p2p= &((*p2p) >nex); (*p2p) >name is name2 p 2 p s a r name1 age1 name2 age2 name3 age3 N U

17 COMP26120 ecure C3 inked iss (ab 8) 24/48 p2p= &((*p2p) >nex); (*p2p) >name is name3 p 2 p s a r name1 age1 name2 age2 name3 age3 N U

18 COMP26120 ecure C3 inked iss (ab 8) 25/48 p2p= &((*p2p) >nex); (*p2p)==nu p 2 p s a r name1 age1 name2 age2 name3 age3 N U

19 OMP26120 ecure C3 inked iss (ab 8) 26/48 Wha if he lis was empy? p 2 p s a r N U (*p2p)==nu If we use sruc person** p2p; we can combine similar ess (in he iniial if and in he loop) and reduce he amoun of code. In boh cases, we modify he sruc person * ha p2p poins a.

20 COMP26120 ecure C3 Make & Makefiles 28/48 Make Simple conrol of compilaion: e.g. make fred Projec managemen: (i.e. many files) If I edi a file, wha is he minimum I need o do o rebuild everyhing? Compares file ime-samps o see wha needs re-building Conrolled by rules in a makefile

21 COMP26120 ecure C3 Make & Makefiles 29/48 Makefile Buil-in Rules: make fred auomaically from fred.c by e.g. gcc -Wall -g -sd=c99 -lm fred.c -o fred Explici rules in makefile: oupu file(s): inpu file(s) command(s) o make oupu(s) from inpu(s) also phony rules oupu(s) ha aren files.phony: 1 1: par1 par1

22 COMP26120 ecure C3 Implemening Make 32/48 A very simple Make all rules explici: 1 arge, 1 command, 2 inpus e.g. makefile: a_z: a z sor a z >a_z a: b c merge b c >a z: x y combine x y >z

23 COMP26120 ecure C3 Implemening Make 35/48 Inernal represenaion a_z: a z sor a z >a_z a: b c merge b c >a z: x y combine x y >z Roo of ree = a z node b c x y \ / \ / merge combine \ / a z \ / sor a_z A ree

24 OMP26120 ecure C3 Implemening Make 37/48 Building he ree Simplify srucure: b c x y \ / \ / a,merge z,combine \ / a_z,sor Implemen ree using srucs, poiners ec. \ / a,merge Wrie he sruc in C:

25 OMP26120 ecure C3 Implemening Make 39/48 make a b c x y \ / \ / a,merge z,combine \ / a_z,sor find a in ree, check files b and c exis, check a is up-o-dae (compare file ime-samps) if no, run command merge

26 COMP26120 ecure C3 Implemening Make 41/48 make a z b c x y \ / \ / a,merge z,combine \ / a_z,sor find a z in ree check file a up-o-dae if no, make a check file z up-o-dae if no, make z run command sor make calls iself: recursion

27 COMP26120 ecure C3 Implemening Make 42/48 Searching Easy o wrie a loop o search a lis: sruc person* emp= lis; while (emp!=nu && srcmp(emp->name, newname)!=0) emp= emp->nex; Bu how do we wrie a loop o search down a ree? how do we follow boh branches?

28 Searching a ree (los more nex semeser) Saring a he roo of he ree, Does his node mach? If no, is here a mach on he lef? If no, is here a mach on he righ? search (hisnode, filename): // reurn poiner o node maching filename or NU if hisnode is NU, reurn i if hisnode->filename maches, reurn hisnode if search (hisnode->lef, filename) isn NU, reurn i reurn search (hisnode->righ, filename) This uses recursion (again) This search is roo-firs, lef-o-righ How do we search righ-o-lef? How do we search roo-las? COMP26120 ecure C3 Implemening Make 43/48

29 OMP26120 ecure C3 Implemening Make 44/48 Building he ree from he makefile a z: a z sor a z >a z 1) build nodes for: a z + sor, a, z 2) link hem ogeher 3) ree a z a: b c merge b c >a 4) search ree for a, add merge 5) build nodes for b, c 6) link hem ogeher...

30 COMP26120 ecure C3 Implemening Make 45/48 Recursive Daa-Types (RDT) A lis is empy or a node (head) + he res of he lis (ail), which is iself a lis A binary (2-way) ree is empy or a node (roo) + (up o) wo subrees (children) A ernary (3-way) ree is empy or a node (roo) + (up o) hree subrees (children)...

31 COMP26120 ecure C3 Implemening Make 47/48 Nex ecure: Complexiy Joshua Knowles Ge hold of Goodrich and Tamassia: Algorihm Design main library, Joule library, School, Blackwells. Reading: pp Asympoic Noaion pp Mahs review Bring a calculaor

32 COMP26120 ecure C3 Implemening Make 48/48 ecure Review inked iss (ab 8) ab 8.1: Inser a sar of lis ab 8.2: Inser a end of lis ab 8.3: Inser in order ab 8.6: Poiner o Poiner Make & Makefiles Implemening Make Trees (ab 9)

Data Structures and Algorithms. The material for this lecture is drawn, in part, from The Practice of Programming (Kernighan & Pike) Chapter 2

Data Structures and Algorithms. The material for this lecture is drawn, in part, from The Practice of Programming (Kernighan & Pike) Chapter 2 Daa Srucures and Algorihms The maerial for his lecure is drawn, in par, from The Pracice of Programming (Kernighan & Pike) Chaper 2 1 Moivaing Quoaion Every program depends on algorihms and daa srucures,

More information

Sam knows that his MP3 player has 40% of its battery life left and that the battery charges by an additional 12 percentage points every 15 minutes.

Sam knows that his MP3 player has 40% of its battery life left and that the battery charges by an additional 12 percentage points every 15 minutes. 8.F Baery Charging Task Sam wans o ake his MP3 player and his video game player on a car rip. An hour before hey plan o leave, he realized ha he forgo o charge he baeries las nigh. A ha poin, he plugged

More information

Shortest Path Algorithms. Lecture I: Shortest Path Algorithms. Example. Graphs and Matrices. Setting: Dr Kieran T. Herley.

Shortest Path Algorithms. Lecture I: Shortest Path Algorithms. Example. Graphs and Matrices. Setting: Dr Kieran T. Herley. Shores Pah Algorihms Background Seing: Lecure I: Shores Pah Algorihms Dr Kieran T. Herle Deparmen of Compuer Science Universi College Cork Ocober 201 direced graph, real edge weighs Le he lengh of a pah

More information

Midterm Exam Announcements

Midterm Exam Announcements Miderm Exam Noe: This was a challenging exam. CSCI 4: Principles o Programming Languages Lecure 1: Excepions Insrucor: Dan Barowy Miderm Exam Scores 18 16 14 12 10 needs improvemen 8 6 4 2 0 0-49 50-59

More information

Assignment 2. Due Monday Feb. 12, 10:00pm.

Assignment 2. Due Monday Feb. 12, 10:00pm. Faculy of rs and Science Universiy of Torono CSC 358 - Inroducion o Compuer Neworks, Winer 218, LEC11 ssignmen 2 Due Monday Feb. 12, 1:pm. 1 Quesion 1 (2 Poins): Go-ack n RQ In his quesion, we review how

More information

NEWTON S SECOND LAW OF MOTION

NEWTON S SECOND LAW OF MOTION Course and Secion Dae Names NEWTON S SECOND LAW OF MOTION The acceleraion of an objec is defined as he rae of change of elociy. If he elociy changes by an amoun in a ime, hen he aerage acceleraion during

More information

Data Structures and Algorithms

Data Structures and Algorithms Daa Srucures and Algorihms The maerial for his lecure is drawn, in ar, from The Pracice of Programming (Kernighan & Pike) Chaer 2 1 Goals of his Lecure Hel you learn (or refresh your memory) abou: Common

More information

A Matching Algorithm for Content-Based Image Retrieval

A Matching Algorithm for Content-Based Image Retrieval A Maching Algorihm for Conen-Based Image Rerieval Sue J. Cho Deparmen of Compuer Science Seoul Naional Universiy Seoul, Korea Absrac Conen-based image rerieval sysem rerieves an image from a daabase using

More information

4. Minimax and planning problems

4. Minimax and planning problems CS/ECE/ISyE 524 Inroducion o Opimizaion Spring 2017 18 4. Minima and planning problems ˆ Opimizing piecewise linear funcions ˆ Minima problems ˆ Eample: Chebyshev cener ˆ Muli-period planning problems

More information

FIELD PROGRAMMABLE GATE ARRAY (FPGA) AS A NEW APPROACH TO IMPLEMENT THE CHAOTIC GENERATORS

FIELD PROGRAMMABLE GATE ARRAY (FPGA) AS A NEW APPROACH TO IMPLEMENT THE CHAOTIC GENERATORS FIELD PROGRAMMABLE GATE ARRAY (FPGA) AS A NEW APPROACH TO IMPLEMENT THE CHAOTIC GENERATORS Mohammed A. Aseeri and M. I. Sobhy Deparmen of Elecronics, The Universiy of Ken a Canerbury Canerbury, Ken, CT2

More information

Outline. EECS Components and Design Techniques for Digital Systems. Lec 06 Using FSMs Review: Typical Controller: state

Outline. EECS Components and Design Techniques for Digital Systems. Lec 06 Using FSMs Review: Typical Controller: state Ouline EECS 5 - Componens and Design Techniques for Digial Sysems Lec 6 Using FSMs 9-3-7 Review FSMs Mapping o FPGAs Typical uses of FSMs Synchronous Seq. Circuis safe composiion Timing FSMs in verilog

More information

EECS 487: Interactive Computer Graphics

EECS 487: Interactive Computer Graphics EECS 487: Ineracive Compuer Graphics Lecure 7: B-splines curves Raional Bézier and NURBS Cubic Splines A represenaion of cubic spline consiss of: four conrol poins (why four?) hese are compleely user specified

More information

MOTION DETECTORS GRAPH MATCHING LAB PRE-LAB QUESTIONS

MOTION DETECTORS GRAPH MATCHING LAB PRE-LAB QUESTIONS NME: TE: LOK: MOTION ETETORS GRPH MTHING L PRE-L QUESTIONS 1. Read he insrucions, and answer he following quesions. Make sure you resae he quesion so I don hae o read he quesion o undersand he answer..

More information

Gauss-Jordan Algorithm

Gauss-Jordan Algorithm Gauss-Jordan Algorihm The Gauss-Jordan algorihm is a sep by sep procedure for solving a sysem of linear equaions which may conain any number of variables and any number of equaions. The algorihm is carried

More information

MATH Differential Equations September 15, 2008 Project 1, Fall 2008 Due: September 24, 2008

MATH Differential Equations September 15, 2008 Project 1, Fall 2008 Due: September 24, 2008 MATH 5 - Differenial Equaions Sepember 15, 8 Projec 1, Fall 8 Due: Sepember 4, 8 Lab 1.3 - Logisics Populaion Models wih Harvesing For his projec we consider lab 1.3 of Differenial Equaions pages 146 o

More information

Constant-Work-Space Algorithms for Shortest Paths in Trees and Simple Polygons

Constant-Work-Space Algorithms for Shortest Paths in Trees and Simple Polygons Journal of Graph Algorihms and Applicaions hp://jgaa.info/ vol. 15, no. 5, pp. 569 586 (2011) Consan-Work-Space Algorihms for Shores Pahs in Trees and Simple Polygons Tesuo Asano 1 Wolfgang Mulzer 2 Yajun

More information

CENG 477 Introduction to Computer Graphics. Modeling Transformations

CENG 477 Introduction to Computer Graphics. Modeling Transformations CENG 477 Inroducion o Compuer Graphics Modeling Transformaions Modeling Transformaions Model coordinaes o World coordinaes: Model coordinaes: All shapes wih heir local coordinaes and sies. world World

More information

CS 152 Computer Architecture and Engineering. Lecture 6 - Memory

CS 152 Computer Architecture and Engineering. Lecture 6 - Memory CS 152 Compuer Archiecure and Engineering Lecure 6 - Memory Krse Asanovic Elecrical Engineering and Compuer Sciences Universiy of California a Berkeley hp://www.eecs.berkeley.edu/~krse hp://ins.eecs.berkeley.edu/~cs152

More information

MIC2569. Features. General Description. Applications. Typical Application. CableCARD Power Switch

MIC2569. Features. General Description. Applications. Typical Application. CableCARD Power Switch CableCARD Power Swich General Descripion is designed o supply power o OpenCable sysems and CableCARD hoss. These CableCARDs are also known as Poin of Disribuion (POD) cards. suppors boh Single and Muliple

More information

4 Error Control. 4.1 Issues with Reliable Protocols

4 Error Control. 4.1 Issues with Reliable Protocols 4 Error Conrol Jus abou all communicaion sysems aemp o ensure ha he daa ges o he oher end of he link wihou errors. Since i s impossible o build an error-free physical layer (alhough some shor links can

More information

CS 152 Computer Architecture and Engineering. Lecture 7 - Memory Hierarchy-II

CS 152 Computer Architecture and Engineering. Lecture 7 - Memory Hierarchy-II CS 152 Compuer Archiecure and Engineering Lecure 7 - Memory Hierarchy-II Krse Asanovic Elecrical Engineering and Compuer Sciences Universiy of California a Berkeley hp://www.eecs.berkeley.edu/~krse hp://ins.eecs.berkeley.edu/~cs152

More information

The Roots of Lisp paul graham

The Roots of Lisp paul graham The Roos of Lisp paul graham Draf, January 18, 2002. In 1960, John McCarhy published a remarkable paper in which he did for programming somehing like wha Euclid did for geomery. 1 He showed how, given

More information

1 œ DRUM SET KEY. 8 Odd Meter Clave Conor Guilfoyle. Cowbell (neck) Cymbal. Hi-hat. Floor tom (shell) Clave block. Cowbell (mouth) Hi tom.

1 œ DRUM SET KEY. 8 Odd Meter Clave Conor Guilfoyle. Cowbell (neck) Cymbal. Hi-hat. Floor tom (shell) Clave block. Cowbell (mouth) Hi tom. DRUM SET KEY Hi-ha Cmbal Clave block Cowbell (mouh) 0 Cowbell (neck) Floor om (shell) Hi om Mid om Snare Floor om Snare cross sick or clave block Bass drum Hi-ha wih foo 8 Odd Meer Clave Conor Guilfole

More information

STEREO PLANE MATCHING TECHNIQUE

STEREO PLANE MATCHING TECHNIQUE STEREO PLANE MATCHING TECHNIQUE Commission III KEY WORDS: Sereo Maching, Surface Modeling, Projecive Transformaion, Homography ABSTRACT: This paper presens a new ype of sereo maching algorihm called Sereo

More information

Learning in Games via Opponent Strategy Estimation and Policy Search

Learning in Games via Opponent Strategy Estimation and Policy Search Learning in Games via Opponen Sraegy Esimaion and Policy Search Yavar Naddaf Deparmen of Compuer Science Universiy of Briish Columbia Vancouver, BC yavar@naddaf.name Nando de Freias (Supervisor) Deparmen

More information

THE EQUIVALENCE OF MODELS OF TASKING + by Daniel M. Berry Brown University

THE EQUIVALENCE OF MODELS OF TASKING + by Daniel M. Berry Brown University THE EQUVALENCE OF MODELS OF TASKNG + by Daniel M. Berry Brown Universiy Absrac. A echnique for proving he equivalence of implemenaions of muli-asking programming languages is developed and applied o proving

More information

Announcements. TCP Congestion Control. Goals of Today s Lecture. State Diagrams. TCP State Diagram

Announcements. TCP Congestion Control. Goals of Today s Lecture. State Diagrams. TCP State Diagram nnouncemens TCP Congesion Conrol Projec #3 should be ou onigh Can do individual or in a eam of 2 people Firs phase due November 16 - no slip days Exercise good (beer) ime managemen EE 122: Inro o Communicaion

More information

tr_lisp.asc Page 1 McESE-FranzLISP: McMASTER EXPERT SYSTEM EXTENSION OF FranzLISP F. Franek Technical Report no TR-22/88

tr_lisp.asc Page 1 McESE-FranzLISP: McMASTER EXPERT SYSTEM EXTENSION OF FranzLISP F. Franek Technical Report no TR-22/88 r_lisp.asc Page 1 McESE-FranzLISP: McMASTER EXPERT SYSTEM EXTENSION OF FranzLISP F. Franek Technical Repor no TR-22/88 Deparmen of Compuer Science and Sysems McMaser Universiy 1988 McESE-FranzLISP: McMASTER

More information

CMPSC 274: Transac0on Processing Lecture #6: Concurrency Control Protocols

CMPSC 274: Transac0on Processing Lecture #6: Concurrency Control Protocols CMPSC 274: Transac0on Processing Lecure #6: Concurrency Conrol Proocols Divy Agrawal Deparmen of Compuer Science UC Sana Barbara 4.4.1 Timesamp Ordering 4.4.2 Serializa0on Graph Tes0ng 4.4.3 Op0mis0c Proocols

More information

USBFC (USB Function Controller)

USBFC (USB Function Controller) USBFC () EIFUFAL501 User s Manual Doc #: 88-02-E01 Revision: 2.0 Dae: 03/24/98 (USBFC) 1. Highlighs... 4 1.1 Feaures... 4 1.2 Overview... 4 1.3 USBFC Block Diagram... 5 1.4 USBFC Typical Sysem Block Diagram...

More information

Electric Ephemeris PCA Argus v 3.1 for Windows. Sales & CD development. Electric Ephemeris/PCA Argus Programming: Laurids Pedersen

Electric Ephemeris PCA Argus v 3.1 for Windows. Sales & CD development. Electric Ephemeris/PCA Argus Programming: Laurids Pedersen Elecric Ephemeris PCA Argus v 3.1 for Windows MSP Soluions: Sales & CD developmen Elecric Ephemeris/PCA Argus Programming: Laurids Pedersen CD Design: Web Design: Magic Space MSP Soluions Technical suppor

More information

1.4 Application Separable Equations and the Logistic Equation

1.4 Application Separable Equations and the Logistic Equation 1.4 Applicaion Separable Equaions and he Logisic Equaion If a separable differenial equaion is wrien in he form f ( y) dy= g( x) dx, hen is general soluion can be wrien in he form f ( y ) dy = g ( x )

More information

MARSS Reference Sheet

MARSS Reference Sheet MARSS Reference Shee The defaul MARSS model (form="marxss") is wrien as follows: x = B x 1 + u + C c + w where w MVN( Q ) y = Z x + a + D d + v where v MVN( R ) x 1 MVN(π Λ) or x MVN(π Λ) c and d are inpus

More information

CS 152 Computer Architecture and Engineering. Lecture 6 - Memory

CS 152 Computer Architecture and Engineering. Lecture 6 - Memory CS 152 Compuer Archiecure and Engineering Lecure 6 - Memory Krse Asanovic Elecrical Engineering and Compuer Sciences Universiy of California a Berkeley hp://www.eecs.berkeley.edu/~krse hp://ins.eecs.berkeley.edu/~cs152

More information

STRING DESCRIPTIONS OF DATA FOR DISPLAY*

STRING DESCRIPTIONS OF DATA FOR DISPLAY* SLAC-PUB-383 January 1968 STRING DESCRIPTIONS OF DATA FOR DISPLAY* J. E. George and W. F. Miller Compuer Science Deparmen and Sanford Linear Acceleraor Cener Sanford Universiy Sanford, California Absrac

More information

BI-TEMPORAL INDEXING

BI-TEMPORAL INDEXING BI-TEMPORAL INDEXING Mirella M. Moro Uniersidade Federal do Rio Grande do Sul Poro Alegre, RS, Brazil hp://www.inf.ufrgs.br/~mirella/ Vassilis J. Tsoras Uniersiy of California, Rierside Rierside, CA 92521,

More information

Simple Network Management Based on PHP and SNMP

Simple Network Management Based on PHP and SNMP Simple Nework Managemen Based on PHP and SNMP Krasimir Trichkov, Elisavea Trichkova bsrac: This paper aims o presen simple mehod for nework managemen based on SNMP - managemen of Cisco rouer. The paper

More information

Boyce - DiPrima 8.4, Multistep Methods

Boyce - DiPrima 8.4, Multistep Methods Boyce - DiPrima 8., Mulisep Mehods Secion 8., p. 67: Iniializaion In[1]:= In[]:= Impor "ColorNames.m" DiffEqs` Runga-Kua Mehod Implemen one sep of he Runge-Kua Mehod. In[]:= Clear y,, h, f ; eqn : y' f,

More information

Numerical Solution of ODE

Numerical Solution of ODE Numerical Soluion of ODE Euler and Implici Euler resar; wih(deools): wih(plos): The package ploools conains more funcions for ploing, especially a funcion o draw a single line: wih(ploools): wih(linearalgebra):

More information

Lecture 18: Mix net Voting Systems

Lecture 18: Mix net Voting Systems 6.897: Advanced Topics in Crypography Apr 9, 2004 Lecure 18: Mix ne Voing Sysems Scribed by: Yael Tauman Kalai 1 Inroducion In he previous lecure, we defined he noion of an elecronic voing sysem, and specified

More information

Motor Control. 5. Control. Motor Control. Motor Control

Motor Control. 5. Control. Motor Control. Motor Control 5. Conrol In his chaper we will do: Feedback Conrol On/Off Conroller PID Conroller Moor Conrol Why use conrol a all? Correc or wrong? Supplying a cerain volage / pulsewidh will make he moor spin a a cerain

More information

Ray Tracing II. Improving Raytracing Speed. Improving Computational Complexity. Raytracing Computational Complexity

Ray Tracing II. Improving Raytracing Speed. Improving Computational Complexity. Raytracing Computational Complexity Ra Tracing II Iproving Raracing Speed Copuer Graphics Ra Tracing II 2005 Fabio Pellacini 1 Copuer Graphics Ra Tracing II 2005 Fabio Pellacini 2 Raracing Copuaional Coplei ra-scene inersecion is epensive

More information

Fill in the following table for the functions shown below.

Fill in the following table for the functions shown below. By: Carl H. Durney and Neil E. Coer Example 1 EX: Fill in he following able for he funcions shown below. he funcion is odd he funcion is even he funcion has shif-flip symmery he funcion has quarer-wave

More information

COMP26912: Algorithms and Imperative Programming

COMP26912: Algorithms and Imperative Programming COMP26912 Lecture C4 1/28 COMP26912: Algorithms and Imperative Programming Lecture C4: C - Coping without Classes Pete Jinks School of Computer Science, University of Manchester Spring 2012 OMP26912 Lecture

More information

PART 1 REFERENCE INFORMATION CONTROL DATA 6400 SYSTEMS CENTRAL PROCESSOR MONITOR

PART 1 REFERENCE INFORMATION CONTROL DATA 6400 SYSTEMS CENTRAL PROCESSOR MONITOR . ~ PART 1 c 0 \,).,,.,, REFERENCE NFORMATON CONTROL DATA 6400 SYSTEMS CENTRAL PROCESSOR MONTOR n CONTROL DATA 6400 Compuer Sysems, sysem funcions are normally handled by he Monior locaed in a Peripheral

More information

BEST DYNAMICS NAMICS CRM A COMPILATION OF TECH-TIPS TO HELP YOUR BUSINESS SUCCEED WITH DYNAMICS CRM

BEST DYNAMICS NAMICS CRM A COMPILATION OF TECH-TIPS TO HELP YOUR BUSINESS SUCCEED WITH DYNAMICS CRM DYNAMICS CR A Publicaion by elogic s fines Microsof Dynamics CRM Expers { ICS CRM BEST OF 2014 A COMPILATION OF TECH-TIPS TO HELP YOUR BUSINESS SUCCEED WITH DYNAMICS CRM NAMICS CRM { DYNAMICS M INTRODUCTION

More information

Handling uncertainty in semantic information retrieval process

Handling uncertainty in semantic information retrieval process Handling uncerainy in semanic informaion rerieval process Chkiwa Mounira 1, Jedidi Anis 1 and Faiez Gargouri 1 1 Mulimedia, InfoRmaion sysems and Advanced Compuing Laboraory Sfax Universiy, Tunisia m.chkiwa@gmail.com,

More information

Implementing Ray Casting in Tetrahedral Meshes with Programmable Graphics Hardware (Technical Report)

Implementing Ray Casting in Tetrahedral Meshes with Programmable Graphics Hardware (Technical Report) Implemening Ray Casing in Terahedral Meshes wih Programmable Graphics Hardware (Technical Repor) Marin Kraus, Thomas Erl March 28, 2002 1 Inroducion Alhough cell-projecion, e.g., [3, 2], and resampling,

More information

Spline Curves. Color Interpolation. Normal Interpolation. Last Time? Today. glshademodel (GL_SMOOTH); Adjacency Data Structures. Mesh Simplification

Spline Curves. Color Interpolation. Normal Interpolation. Last Time? Today. glshademodel (GL_SMOOTH); Adjacency Data Structures. Mesh Simplification Las Time? Adjacency Daa Srucures Spline Curves Geomeric & opologic informaion Dynamic allocaion Efficiency of access Mesh Simplificaion edge collapse/verex spli geomorphs progressive ransmission view-dependen

More information

Announcements For The Logic of Boolean Connectives Truth Tables, Tautologies & Logical Truths. Outline. Introduction Truth Functions

Announcements For The Logic of Boolean Connectives Truth Tables, Tautologies & Logical Truths. Outline. Introduction Truth Functions Announcemens For 02.05.09 The Logic o Boolean Connecives Truh Tables, Tauologies & Logical Truhs 1 HW3 is due nex Tuesday William Sarr 02.05.09 William Sarr The Logic o Boolean Connecives (Phil 201.02)

More information

Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries

Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries Axiomaic Foundaions and Algorihms for Deciding Semanic Equivalences of SQL Queries Shumo Chu, Brendan Murphy, Jared Roesch, Alvin Cheung, Dan Suciu Paul G. Allen School of Compuer Science and Engineering

More information

Optics and Light. Presentation

Optics and Light. Presentation Opics and Ligh Presenaion Opics and Ligh Wha comes o mind when you hear he words opics and ligh? Wha is an opical illusion? Opical illusions can use color, ligh and paerns o creae images ha can be

More information

NURBS rendering in OpenSG Plus

NURBS rendering in OpenSG Plus NURS rering in OpenSG Plus F. Kahlesz Á. alázs R. Klein Universiy of onn Insiue of Compuer Science II Compuer Graphics Römersrasse 164. 53117 onn, Germany Absrac Mos of he indusrial pars are designed as

More information

COSC 3213: Computer Networks I Chapter 6 Handout # 7

COSC 3213: Computer Networks I Chapter 6 Handout # 7 COSC 3213: Compuer Neworks I Chaper 6 Handou # 7 Insrucor: Dr. Marvin Mandelbaum Deparmen of Compuer Science York Universiy F05 Secion A Medium Access Conrol (MAC) Topics: 1. Muliple Access Communicaions:

More information

Hands on Lab Manual Coherence Introduction

Hands on Lab Manual Coherence Introduction Hands on Lab Manual Coherence Inroducion hp://www.oracle.com/echnework , YCPV VQ KORTQXG VJG RGTHQTOCPEG QH O[ CRRNKECVKQP &CP, EQR[ -CXC EQFG VQ CP +70/ (ZVGPUKQP", EQFGF KV VJKU YC[ +GTG U YJGTG [QW

More information

SCHED_DEADLINE (what it does and doesn't do, yet).

SCHED_DEADLINE (what it does and doesn't do, yet). SCHED_DEADLINE (wha i does and doesn' do, ye). Juri Lelli Deparmen of Auomaic Conrol Lund Universiy (Sweden), May 5h 2014 TeCIP Insiue, Scuola Superiore San'Anna Area della Ricerca CNR, Via G. Moruzzi

More information

AML710 CAD LECTURE 11 SPACE CURVES. Space Curves Intrinsic properties Synthetic curves

AML710 CAD LECTURE 11 SPACE CURVES. Space Curves Intrinsic properties Synthetic curves AML7 CAD LECTURE Space Curves Inrinsic properies Synheic curves A curve which may pass hrough any region of hreedimensional space, as conrased o a plane curve which mus lie on a single plane. Space curves

More information

Mobile Robots Mapping

Mobile Robots Mapping Mobile Robos Mapping 1 Roboics is Easy conrol behavior percepion modelling domain model environmen model informaion exracion raw daa planning ask cogniion reasoning pah planning navigaion pah execuion

More information

Lecture Recursion. Introduction to Computer Science, Shimon Schocken slide 1

Lecture Recursion. Introduction to Computer Science, Shimon Schocken slide 1 Lecure 12-1 Recursio Iroducio o Compuer Sciece, Shimo Schocke slide 1 Recursio Recursio: a fudameal algorihmic echique, based o divide ad coquer Recursive fucio: a mahemaical fucio defied i erms of iself.

More information

A Principled Approach to. MILP Modeling. Columbia University, August Carnegie Mellon University. Workshop on MIP. John Hooker.

A Principled Approach to. MILP Modeling. Columbia University, August Carnegie Mellon University. Workshop on MIP. John Hooker. Slide A Principled Approach o MILP Modeling John Hooer Carnegie Mellon Universiy Worshop on MIP Columbia Universiy, Augus 008 Proposal MILP modeling is an ar, bu i need no be unprincipled. Slide Proposal

More information

Temperature Controller EXPERT-VT212 USER'S MANUAL

Temperature Controller EXPERT-VT212 USER'S MANUAL Temperaure Conroller USER'S MANUAL TABLE OF CONTENTS Page 1. PRECAUTIONS... 6 2. FEATURES... 7 3. LOCATION OF THE CONTROLS... 9 4. MOUNTING INSTRUCTIONS...12 4.1 CONNECTIONS... 12 5. CONTROLLER SETUP...14

More information

Dimmer time switch AlphaLux³ D / 27

Dimmer time switch AlphaLux³ D / 27 Dimmer ime swich AlphaLux³ D2 426 26 / 27! Safey noes This produc should be insalled in line wih insallaion rules, preferably by a qualified elecrician. Incorrec insallaion and use can lead o risk of elecric

More information

Computational Geometry in Wireless Networks - Routing. Presented by Heather M. Michaud

Computational Geometry in Wireless Networks - Routing. Presented by Heather M. Michaud Compaional Geomery in Wireless Neworks - Roing Presened by Heaher M. Michad 1 Ad Hoc Wireless Neworks No fixed pre-exising infrasrcre Nodes can be saic or mobile Assme nodes don move dring roing or opology

More information

CS 314 Principles of Programming Languages

CS 314 Principles of Programming Languages CS 314 Principles of Progrmming Lnguges Lecure 10: Synx Direced Trnslion Zheng (Eddy) Zhng Rugers Universiy Februry 19, 2018 Clss Informion Homework 2 is sill being grded. Projec 1 nd homework 4 will be

More information

Outline. CS38 Introduction to Algorithms 5/8/2014. Network flow. Lecture 12 May 8, 2014

Outline. CS38 Introduction to Algorithms 5/8/2014. Network flow. Lecture 12 May 8, 2014 /8/0 Ouline CS8 Inroducion o Algorihm Lecure May 8, 0 Nework flow finihing capaciy-caling analyi Edmond-Karp, blocking-flow implemenaion uni-capaciy imple graph biparie maching edge-dijoin pah aignmen

More information

Using CANopen Slave Driver

Using CANopen Slave Driver CAN Bus User Manual Using CANopen Slave Driver V1. Table of Conens 1. SDO Communicaion... 1 2. PDO Communicaion... 1 3. TPDO Reading and RPDO Wriing... 2 4. RPDO Reading... 3 5. CANopen Communicaion Parameer

More information

UX260 QUICK START GUIDE

UX260 QUICK START GUIDE UX260 QUICK START GUIDE Transferring Music Playing Music Blueooh Pairing Taking a Picure/ Recording a Video www.lgusa.com Geing o Know Your Phone Camera BACK SIDE Lef Sof Key Speakerphone Key Talk Key

More information

Image Content Representation

Image Content Representation Image Conen Represenaion Represenaion for curves and shapes regions relaionships beween regions E.G.M. Perakis Image Represenaion & Recogniion 1 Reliable Represenaion Uniqueness: mus uniquely specify an

More information

Adding Time to an Object-Oriented Versions Model

Adding Time to an Object-Oriented Versions Model Insiuo de Informáica Universidade Federal do Rio Grande do Sul Poro Alegre - RS - BRAZIL Adding Time o an Objec-Oriened Versions Model Mirella Moura Moro Nina Edelweiss Silvia Maria Saggiorao Clesio Saraiva

More information

Computer representations of piecewise

Computer representations of piecewise Edior: Gabriel Taubin Inroducion o Geomeric Processing hrough Opimizaion Gabriel Taubin Brown Universiy Compuer represenaions o piecewise smooh suraces have become vial echnologies in areas ranging rom

More information

Chapter 4 Sequential Instructions

Chapter 4 Sequential Instructions Chaper 4 Sequenial Insrucions The sequenial insrucions of FBs-PLC shown in his chaper are also lised in secion 3.. Please refer o Chaper, "PLC Ladder diagram and he Coding rules of Mnemonic insrucion",

More information

Querying Moving Objects in SECONDO

Querying Moving Objects in SECONDO Querying Moving Objecs in SECONDO Vicor Teixeira de Almeida, Ralf Harmu Güing, and Thomas Behr LG Daenbanksyseme für neue Anwendungen Fachbereich Informaik, Fernuniversiä Hagen D-58084 Hagen, Germany {vicor.almeida,

More information

A pipeline polish string computer*

A pipeline polish string computer* A pipeline polish sring compuer* by GERARD G. BAILLE and JEAN P. SCHOELLKOPF Co--,np'ueT ATcli-iecure Group Grenoble "Universiy, France ABSTRACT This paper describes a new compuer organizaion which allows

More information

ME 406 Assignment #1 Solutions

ME 406 Assignment #1 Solutions Assignmen#1Sol.nb 1 ME 406 Assignmen #1 Soluions PROBLEM 1 We define he funcion for Mahemaica. In[1]:= f@_d := Ep@D - 4 Sin@D (a) We use Plo o consruc he plo. In[2]:= Plo@f@D, 8, -5, 5

More information

Connections, displays and operating elements. Status LEDs (next to the keys)

Connections, displays and operating elements. Status LEDs (next to the keys) GB Connecions, displays and operaing elemens A Push-buon plus Sysem M Operaing insrucions 1 2 1 2 3 4 5 6 7 8 C B A 4 Inser he bus erminal ino he connecion of pushbuon A. 5 Inser he push-buon ino he frame.

More information

E-Book Boot Camp. Basic Training for Library Staff. Steven R. Harris University of New Mexico

E-Book Boot Camp. Basic Training for Library Staff. Steven R. Harris University of New Mexico Basic Training for Library Saff { Seven R. Harris Universiy of New Mexico A Prolegomenon o Any Fuure { Seven R. Harris Universiy of New Mexico WHAT do library saff need o know? WHAT do library users need

More information

SOT: Compact Representation for Triangle and Tetrahedral Meshes

SOT: Compact Representation for Triangle and Tetrahedral Meshes SOT: Compac Represenaion for Triangle and Terahedral Meshes Topraj Gurung and Jarek Rossignac School of Ineracive Compuing, College of Compuing, Georgia Insiue of Technology, Alana, GA ABSTRACT The Corner

More information

1. Function 1. Push-button interface 4g.plus. Push-button interface 4-gang plus. 2. Installation. Table of Contents

1. Function 1. Push-button interface 4g.plus. Push-button interface 4-gang plus. 2. Installation. Table of Contents Chaper 4: Binary inpus 4.6 Push-buon inerfaces Push-buon inerface Ar. no. 6708xx Push-buon inerface 2-gang plus Push-buon inerfacechaper 4:Binary inpusar. no.6708xxversion 08/054.6Push-buon inerfaces.

More information

Matlab5 5.3 symbolisches Lösen von DGLn

Matlab5 5.3 symbolisches Lösen von DGLn C:\Si5\Ingmah\symbmalab\DGLn_N4_2.doc, Seie /5 Prof. Dr. R. Kessler, Homepage: hp://www.home.hs-karlsruhe.de/~kero/ Malab5 5.3 symbolisches Lösen von DGLn % Beispiele aus Malab 4.3 Suden Ediion Handbuch

More information

Schedule. Curves & Surfaces. Questions? Last Time: Today. Limitations of Polygonal Meshes. Acceleration Data Structures.

Schedule. Curves & Surfaces. Questions? Last Time: Today. Limitations of Polygonal Meshes. Acceleration Data Structures. Schedule Curves & Surfaces Sunday Ocober 5 h, * 3-5 PM *, Room TBA: Review Session for Quiz 1 Exra Office Hours on Monday (NE43 Graphics Lab) Tuesday Ocober 7 h : Quiz 1: In class 1 hand-wrien 8.5x11 shee

More information

4.1 3D GEOMETRIC TRANSFORMATIONS

4.1 3D GEOMETRIC TRANSFORMATIONS MODULE IV MCA - 3 COMPUTER GRAPHICS ADMN 29- Dep. of Compuer Science And Applicaions, SJCET, Palai 94 4. 3D GEOMETRIC TRANSFORMATIONS Mehods for geomeric ransformaions and objec modeling in hree dimensions

More information

SCHED_DEADLINE How to use it

SCHED_DEADLINE How to use it TeCIP Insiue, Scuola Superiore San'Anna Area della Ricerca CNR, Via G. Moruzzi 1 56127 Pisa, Ialy SCHED_DEADLINE How o use i Juri Lelli Reis Lab SSSUP Pisa (Ialy), June 26h 2014 Basics and saus Ouline

More information

Kestral Computing Pty Ltd Anthony (Tony) Julian Mayo Clinic. Kaiser Permanente. HL7 The Netherlands 5.1 CHAPTER 5 CONTENTS

Kestral Computing Pty Ltd Anthony (Tony) Julian Mayo Clinic. Kaiser Permanente. HL7 The Netherlands 5.1 CHAPTER 5 CONTENTS 5. Query Chaper Chair Chaper Chair: and Edior: Chaper Chair Chaper Chair Chaper Chair Grahame Grieve Kesral Compuing Py Ld Anhony (Tony) Julian Mayo Clinic Doug Pra Siemens Medical Soluions Healh Services

More information

Low-Cost WLAN based. Dr. Christian Hoene. Computer Science Department, University of Tübingen, Germany

Low-Cost WLAN based. Dr. Christian Hoene. Computer Science Department, University of Tübingen, Germany Low-Cos WLAN based Time-of-fligh fligh Trilaeraion Precision Indoor Personnel Locaion and Tracking for Emergency Responders Third Annual Technology Workshop, Augus 5, 2008 Worceser Polyechnic Insiue, Worceser,

More information

CAMERA CALIBRATION BY REGISTRATION STEREO RECONSTRUCTION TO 3D MODEL

CAMERA CALIBRATION BY REGISTRATION STEREO RECONSTRUCTION TO 3D MODEL CAMERA CALIBRATION BY REGISTRATION STEREO RECONSTRUCTION TO 3D MODEL Klečka Jan Docoral Degree Programme (1), FEEC BUT E-mail: xkleck01@sud.feec.vubr.cz Supervised by: Horák Karel E-mail: horak@feec.vubr.cz

More information

Nonparametric CUSUM Charts for Process Variability

Nonparametric CUSUM Charts for Process Variability Journal of Academia and Indusrial Research (JAIR) Volume 3, Issue June 4 53 REEARCH ARTICLE IN: 78-53 Nonparameric CUUM Chars for Process Variabiliy D.M. Zombade and V.B. Ghue * Dep. of aisics, Walchand

More information

C 1. Last Time. CSE 490/590 Computer Architecture. Cache I. Branch Delay Slots (expose control hazard to software)

C 1. Last Time. CSE 490/590 Computer Architecture. Cache I. Branch Delay Slots (expose control hazard to software) CSE 490/590 Compuer Archiecure Cache I Seve Ko Compuer Sciences and Engineering Universiy a Buffalo Las Time Pipelining hazards Srucural hazards hazards Conrol hazards hazards Sall Bypass Conrol hazards

More information

Hybrid Equations (HyEQ) Toolbox v2.02 A Toolbox for Simulating Hybrid Systems in MATLAB/Simulink R

Hybrid Equations (HyEQ) Toolbox v2.02 A Toolbox for Simulating Hybrid Systems in MATLAB/Simulink R Hybrid Equaions (HyEQ) Toolbo v. A Toolbo for Simulaing Hybrid Sysems in MATLAB/Simulink R Ricardo G. Sanfelice Universiy of California Sana Cruz, CA 9564 USA David A. Copp Universiy of California Sana

More information

Verified Validation of Lazy Code Motion

Verified Validation of Lazy Code Motion Verified Validaion of Lazy Code Moion Jean-Bapise Trisan, Xavier Leroy To cie his version: Jean-Bapise Trisan, Xavier Leroy. Verified Validaion of Lazy Code Moion. ACM SIGPLAN conference on Programming

More information

Effects needed for Realism. Ray Tracing. Ray Tracing: History. Outline. Foundations of Computer Graphics (Fall 2012)

Effects needed for Realism. Ray Tracing. Ray Tracing: History. Outline. Foundations of Computer Graphics (Fall 2012) Foundaions of ompuer Graphics (Fall 2012) S 184, Lecure 16: Ray Tracing hp://ins.eecs.berkeley.edu/~cs184 Effecs needed for Realism (Sof) Shadows Reflecions (Mirrors and Glossy) Transparency (Waer, Glass)

More information

MOBILE COMPUTING. Wi-Fi 9/20/15. CSE 40814/60814 Fall Wi-Fi:

MOBILE COMPUTING. Wi-Fi 9/20/15. CSE 40814/60814 Fall Wi-Fi: MOBILE COMPUTING CSE 40814/60814 Fall 2015 Wi-Fi Wi-Fi: name is NOT an abbreviaion play on Hi-Fi (high fideliy) Wireless Local Area Nework (WLAN) echnology WLAN and Wi-Fi ofen used synonymous Typically

More information

MOBILE COMPUTING 3/18/18. Wi-Fi IEEE. CSE 40814/60814 Spring 2018

MOBILE COMPUTING 3/18/18. Wi-Fi IEEE. CSE 40814/60814 Spring 2018 MOBILE COMPUTING CSE 40814/60814 Spring 2018 Wi-Fi Wi-Fi: name is NOT an abbreviaion play on Hi-Fi (high fideliy) Wireless Local Area Nework (WLAN) echnology WLAN and Wi-Fi ofen used synonymous Typically

More information

Sartorius Cubis Series

Sartorius Cubis Series Brief Insrucions Sarorius Cubis Series Elecronic Precision and Analical Balances MSU Models 98648-017-12 Informaion for he User Conens Noes on using his manual....................... 3 Safe Insrucions.............................

More information

Test - Accredited Configuration Engineer (ACE) Exam - PAN-OS 6.0 Version

Test - Accredited Configuration Engineer (ACE) Exam - PAN-OS 6.0 Version Tes - Accredied Configuraion Engineer (ACE) Exam - PAN-OS 6.0 Version ACE Exam Quesion 1 of 50. Which of he following saemens is NOT abou Palo Alo Neworks firewalls? Sysem defauls may be resored by performing

More information

Curves & Surfaces. Last Time? Today. Readings for Today (pick one) Limitations of Polygonal Meshes. Today. Adjacency Data Structures

Curves & Surfaces. Last Time? Today. Readings for Today (pick one) Limitations of Polygonal Meshes. Today. Adjacency Data Structures Las Time? Adjacency Daa Srucures Geomeric & opologic informaion Dynamic allocaion Efficiency of access Curves & Surfaces Mesh Simplificaion edge collapse/verex spli geomorphs progressive ransmission view-dependen

More information

PROCESS AUTOMATION MANUAL TIMER RELAY KF**-DU-EX1.D ISO9001

PROCESS AUTOMATION MANUAL TIMER RELAY KF**-DU-EX1.D ISO9001 PROCESS AUTOMATION MANUAL TIMER RELAY KF**-DU-EX1.D ISO9001 Wih regard o he supply of producs, he curren issue of he following documen is applicable: The general erms of delivery for producs and services

More information

User Manual. RINS Software Revision >V9.26

User Manual. RINS Software Revision >V9.26 User Manual INTERNAL SIREN WARNING The Enforcer 32-WE conrol panel conains a 100 dba siren, please be aware of his when in use. RINS1503-2 Sofware Revision >V9.26 Conens Page A: Inroducion 3 B: Keypads

More information

SREM: A Novel Multicast Routing Algorithm - Comprehensive Cost Analysis

SREM: A Novel Multicast Routing Algorithm - Comprehensive Cost Analysis REM: A Novel Mulicas Rouing Algorihm - Comprehensive Cos Analysis Yewen Cao and Khalid Al-Begain chool of Compuing, Universiy of Glamorgan, CF37 DL, Wales, U.K E-mail:{ycao,kbegain}@glam.ac.uk Absrac Ever-increasing

More information

Improving Ranking of Search Engines Results Based on Power Links

Improving Ranking of Search Engines Results Based on Power Links IPASJ Inernaional Journal of Informaion Technology (IIJIT) Web Sie: hp://www.ipasj.org/iijit/iijit.hm A Publisher for Research Moivaion... Email: edioriiji@ipasj.org Volume 2, Issue 9, Sepember 2014 ISSN

More information