Copyright 2010 Pearson Education, Inc. Publishing as Addison-Wesley.

Size: px
Start display at page:

Download "Copyright 2010 Pearson Education, Inc. Publishing as Addison-Wesley."

Transcription

1 Š Ž ž œžž Ž ŽŒ ž Ž ŽŒ œ œ Ž ŽšžŽœ œš œ ŸŽ Ž Ž œ Žœ ŠŒŽœ Ÿ Ž ŠŠŒ Š Ž Œ Ž ŽŒ ŽŒŒ ŒŽ ŽŠŒ Žœ œžœž Ÿ ŽŠ Š ŠŽ Žœ œž ž œž ŽŒ Š œ ŽŠ Ž ŠŽ Žœ œ Š Žœ ž Œ Œ žœ Š Ž ž œž ŽŒ Š œ Ž ž Žœ œ Š Žœ ž Œ Œ žœ Š Ž Ž ŽŸŽœ ŠŠŒ œœ ž Š œ Žœœ Š Ž ŽŽŽœœ ŽŒ Š < œœžœ ŽŒ Œ Žœž Š œ Žœ Š œ ŽŸŠ žž ŽœŠ Ž ž Ž-ŸŠ žž Žœ Š Š ŽŠ Šœ ž Œ Œ žžš ž ŽŒ Š < ŸŽ Ž Ž Š žœ Œ žžš ž ŽŒ Š Ž žœž Š ŒŽž Žœ Ž ŠŒ ŒŠ Œž Š œœž Ž Š ŽŽŸŽ ž ŽŠ Š ŽŠœž ŽŒ ŸŽŽœ ŠŽ ŽŽ Ž Ž Ž ŽŽŸŽ œ Ž Š Œ Š Œ Š œ Š Ž ŽŽŒ ŸŽž œš Š Š Œž Š Ž Œ žž œ œ Šœ Ž œžœ Œ žž œ Ž ŽŠ ŽŽŽŒ ŸŽ ž œ Žœœ Ž ž Žœ œš ŽŠ Ž Š ŸŽ Žœ œ œ Œ œž ŽŒ ŽŒ œ Ž ŒŠŽ Š Š ŽŽ Š Ž Š Œ Š œ Š œ Ž œžš Ž Š ŠŸŽ ŠŽ ŽŽ Š Žœ Ž Š ŽŒ œž Ž žžšÿž ŠŽ ŽŠŽ Ž Š > < = < = >

2 œœž Ž Š ŽŠŠ ŠœŠ Š œ ž Š Ž ž Ž œž ŸŠ œ œ ŽŠŽ Š ŽŒ ŒŠ ŸŠ žžžœž ŽœŠ ž Žœ œ = Š Ž - Š Ž Žœ - - ^- ŽŸŠ žž ŽŽœœŠ œ Œ žœ = š Œ Š œ ŠŽ Š Ž Œ Ž Š œ œ œ Žœœ Š Š Ž œš ŽœŠ œ Œœ Œ žž =œž ŽŒœ œš Š Ž Š Šœ - - œž Ž ŸŽ Š Ž-ŸŠ žž œ žœžšœ ŒŠ ŒŽ ŽŸŽ Š œšž Ž Œ Œ žœ Š ž Ž ž Žœ œ Ž ŽŒ Ž ž Žœ œ Š Ž ŽŒ Ž ž Žœ œ < ŽŽœœŠ œ Œ œ =- Š Ž ŽŒ Ž ž Žœ œ Š Ž ŽŒ Ž ž Žœ œ Ž ŽŒ Ž ž Žœ œ Š Ž ŽŒ Ž ž Žœ œ ž ŠŽ Ž ŒŠŽŒ Œ žœ ŽŒ ŒŠ Ž œžœž Ž Š Žœœ Ž Š Œ Š Ž Œ Š ŠœŽ œœ Œ Š œ ŠŽœœŒ Žœ ŽŽ ŽŸŽ - ŠŽ œš œ œœ ŸŠ Žœœ Š ŽŽœœŒ Žœ ŽŽ ŽŸŽ - ŠŽ œšš Ž œœ Œ ŠŸŽŸŠ Š ŽœŒ Ž =œœž ŠŠ Žœ œžœ ŽŒ Š Šœ ŽŽ Œ žœžš Š ŽŒ Œ žœ œ Ž ŽŒ Ž ž Žœ œœšž Ž Œ Œ žœ ŽŒ ŒŠ Ž œ Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š ŽœŠ Š ŽŸ Š œ Žœœ Š Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š ŽœŠ Š ŽŸ Š œ ŽŠŽ Š Ž Ž œœž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š ŽœŠ Š ŽŸ Š œ Žœœ Š Ž Ž œœž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š ŽœŠ Š ŽŸ Š œ ŽŠŽ Š

3 œœž Ž ŠŠ Žœ œžœ Ž ŸŽ Œ Š ŽŒ žœžž Ž Ž Ž Ž ŽŽœ Ž Œ Š ŠœŒ Œ Š œ Š Ž Ž ŒŽ ŠŽ œžž œš œœœ ŠŒ Ž œ Ž- Š Ž Žœ œž Ž ŽŽ ŽŽœ Š Ž ŽŒ ŽŒ Š Š Ž Ž ŒŽ ŠŽ œžž œ ŠŒ Ž œ Ž- Š Ž Žœ œžšžš Ž Š Ž ŒŽ ŠŽ œšœžš Ž Ž Ž ŽŒ ŽŒ Š Š Ž Ž ŒŽ ŠŽ œžž œ ŠŒ Ž œ Ž- Š Ž Žœ œžšžš Ž Š Ž ŒŽ ŠŽ œšœžš Š Ž ŽŒ ŽŒ Š Š Ž Ž ŒŽ ŠŽ œžž œ ŠŒ Ž œ Ž- Š Ž Žœ œžšžš Ž Š Ž ŒŽ ŠŽ œšœžš Ž ŽŒ ŽŒ Š Š Ž Ž ŒŽ ŠŽ œžž œ ŠŒ Ž œ Ž- Š Ž Žœ œžšžš Ž Š Ž ŒŽ ŠŽ œšœžš Žœœ Š Ž Ž ž Žœ œš Ž Š ŸŽ Žœ œžœœš œ Œ-ŸŠ žžœ Œ žœ Š ž Ž ž Žœ œš Š Œ Œ žœ ŠŠ ŽœœŽœ Ž Š Œ Š œž Ž Š Ž ŒŠ œœ Š œ Š Ž Š ŽŒŠ œš Ž ŽŽŒ ŸŽ Š Š œš Ž Ž ŒŠ œ œ ž ŠŠ Ž ŽŽŒ ŸŽ ž Žœž Ž Œ Š œ Š œ œ ŠœŠ Ž žœ žš Ž ŽŸŽ œ ŒŠ ŒŽ Žœ Žœž Ž œœ Š Š Ž Š Š ŽŽŽŒ ŸŽ Ž-ŸŠ žž Ž ŒŠŽ Žœ œžœ Ž ŒŠ œœ Œ Š œ Š Ž Š œœžž œ Š Ž Ž Š ŠŒ ŒŽ œ ž ŠŠ Š Š œš Ž ŽœŒ œœžž œ Ž Š Ž Ž Š ŠŒ ŒŽ Ž-ŸŠ žž ŠŽœ ŽœŒ œœ Š ŽŽ Ž Ž Ž Ž ŸŽ Œ œ žœ Žœ ŠŒ Š Š žš ž Š ŽŠ Šœ Ž Š œš Ž Žœ Ž œ ==Š Ž Š ž Š œ Š œ žž Žœ

4 Ž Ž ž Žœ œš Ž Š ŸŽ Žœ œžœœš œ Œ-ŸŠ žžœ Œ žœ Š ž Ž ž Žœ œš Š Œ Œ žœ ŠŠ ŽœœŽœ Ž Š Œ Š Ž ŽŠ Ž ŽŽœ œ Ž Ž ŒŠ Ž Ž œš Ž Ž ŽŽœ ŠœŠ ŽŠ Ž œœž Š œ Ž žœžš œ ŒŠ ŒŽ ŽŸŽ Žœ ŽŒ Š Š Ž ž Š ŽŠ Š œžœ Ž ŽŽœ Ž œ œ Žœœ Š Žœ Ž ŸŽ Œ Š œž Ž-ŸŠ žž Ž Ž Š Š Ž Šœ ŒŠŽŽ Ž ž Žœ œš Ž Š ŸŽ Žœ œžœœš œ ŒŒ ŒŠ ŸŠ žžœ -ŸŠ žžœ Œ žœ Š ž Ž ž Žœ œš Š Œ Œ žœ Š Š ŽœœŽœ Ž Š Œ Š Ž ŽŠ Žœ ž œž ŠŽ Ž œ ŽŠœ Ž žžœ Ž Š œš Ž Ž Žž Š žš Œ œ œ Š ŽŠ Ž Žœ ž œž ŠŽœ ŽŠœ Ž žžš Ž œž Ž œžšœ ŒŠ ŒŽ ŽŸŽ Žœ ŽŒ Š Š ŽœŽœŠ Ž ž œž Š ŽœŒ Ž Š ž Š Š ŽŠ Žœœ Š ŽŠ œ Ž žžœœž Ž Š ŽœŠ Š ŽŸ Š Ž Žœ ž œž ŠŽœ Š Ž žš Œ œ œ Ž ŽŠœ Ž žžœž Ž Š Š Ž Žœ ŽœŽœ ŽŽ Ž Ž Ž Ž Žœ œžœ Ÿ ŸŽœŠœŠ œ ž ŽŠ œ Š œš Š œ ž ž Ž œ ž Ž Ž Š =Š ŽŠŠ = =œ= ŽœŠ ŽŠŠ œœ Ž Š œš ŽŠ ŽŠ Œ Ž Š Š œ žž ž Š ž Š Ž Ž Š žž

5 œœž Ž ŠŠœ Ž Š œš Ž Šœ ŽŽ œž ŽŒŽ Š Š œ žž ž Š ŽŽœœŠ œ Œ-ŸŠ žžœ ŒŠ ŸŠ žžœš œšž Ž Š Œ Œ žœ Žœ ŽŒ Š Š Ž ŽŠ Ž Ž ŒŠ Ž Žœ Š Š Œž Š Ž œ ŽŠŽ Š ŽœŠ ŽŠŠŠ Žœž Š ŽŠœ = = ŽœŠ œ= ŽœœŽŠœ ŒŠ ŒŽ ŽŸŽ = œœž Ž ŠŠœ Ž Š œš Ž Šœ ŽŽ œž ŽŒŽ Š Š œ žž ž Š Š Žœ Ž ŸŽ Œ Š œžž Ž Ž Š Š Ž -ŸŠ žž Ž Šœ ŒŠŽ Ž Ž ž Š Š Ž Š ŸŽ ŽœŽœŽœœŠ œ ŒŒ ŒŠ ŸŠ žžœ -ŸŠ žž Š Ž -ŸŠ žžœšœš ŠŽŠ œšž Ž Š Œ Œ žœ ŠŠ ŽœœŽœ Ž Š Œ Š œžšœ ŒŠ ŒŽ ŽŸŽ = Žœ ŽŒ Š Š> ŽœŠ ŽŠŠŒ œ œ œœ Žœ Œ =Š œ=œž Ž Š Š Ž Žœ ŽœŽœ ŒŽ ŽŠ Œ Š Œ Š œ Š Ž ŽŠ Ž ŽŒŽ ŽŠ œ ŠŒ Žœ œ Ž Ž œ ž ŒŽœ ŽŒŽ ŽŠ Š Š œš Ž œœž ŽŠ ŠŒ ŽœŠ Ž œž Ž œž Ž-ŸŠ žž Ž Žœ ŽœŽœ Žœ ŽŒ Š Š Žœ ŒŠ ŒŽ ŽŸŽ ŽŒ ŒŠ ŸŠ žž ŸŠ žžœ ŠœŽ Ž ŸŽ Š = = =

6 œž Ž Š Š Ž Žœ Ž ŸŽ Žœ œœœž Ž Š Ž ž Š œ Š œ žž Š Š ŽœŠ Ž Šœ ŽŽ Š œž ŽŒŽ Ž œš ŽŽœŽ Š Žœœ Ž Ž Žœ ŠŸŽŠœŠ Š ŽŸ Š Žœ ŽŒ Š Š ŽœŠ Š ŽŸ Š Ž Š Žœœ Ž Žœ Š œžœ œ œ ŽŠŽ Š œžš ŽŸŽ œ ŒŠ ŒŽ

7 Answer Key Testname: CHAPTER 8 FORM B Ž ŠŽ ŽœŠ ŽŠŠŽ Ž œž œ Žœ œž ž ŽœŠ ŽŽŸ Ž ŒŽ Š Š œ Ž ŽŒ Žœ Š Š Ž ŽŒ ^= Ž-ŸŠ žž Ž Š Ž œ ž Œ Œ žž Š Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š < ŽŽŽŒ ŸŽ ŠŽ Ž Ž ŽŠ ŽŒ ž ŽŠœ Š ŽŽŒ ŸŽž œš Œ žž œ Œ Š ŒŽ œ œ Š Ž Ž Ž Ž Ž Š ŽŽŸŽ ž Ž Ž ŠŸŽ ŽŠœ Ž ŽŒ ŽŒ Š Š ŽŽŽŒ ŸŽ ŠŽ œ = >ŽœœŠ œ Œ =-ŸŠ žž = ŒŠ ŸŠ žž =Ž ŽŒ ž Žœ œ Ž Ž œœž Œ Ž ŽŸ Ž ŒŽ Š Š Ž ŽŒ ŽŒ Š Š Ž Š Š ŽŽŽŒ ŸŽ Ž ŒŽ ŽŽ Ž Š œžœž Ž Š œ Š œ Ž Ž Ž ŽŒ Ž Žœ œ œ > = <ŽœœŠ œ Œ =--ŸŠ žžš Ž ŽŒ Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š Ž ŽŠ œ Žœœ Š ž œ Š œžœ Ž ŽŽœ = ŽŠœ Ž žž < ŽŠœ Ž žž ŽœœŠ œ Œ =- ŒŠ -ŸŠ žž =- -ŸŠ žž= Ž ŽŒ Žœ ŒŠ ŒŽ ŽŸŽ Ž Ž œœž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š ŽœŽœŠ Ž ž œž Š ŽœŒ Ž Š ž Š Š ŽŠ Žœœ Š ŽŠ œ Ž ž Ž = ŽœœŠ œ Œ= -ŸŠ žž = -+ŒŠ Œž Š <-ŸŠ žž< Š Ž- ŒŠ ŸŠ žž= ŽŒŠžœŽ ŽŽœœŠ œ Œ> Ž Ž ŽŒ Ž ž Žœ œ Ž Ž œœž Œ Ž ŽŸ Ž ŒŽ ŠŒŒŽ ŽŒ Š Š> Žœ = >ŽœœŠ œ Œ= ŒŠ ŸŠ žž=š Ž ŽŒ Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š Ž žž ŽŠ œ ŽŠŽ Š = ŽœœŠ œ Œ=-ŸŠ žž= -+ŒŠ Œž Š -ŸŠ žž> Š Ž-Š Ž ŽŒ Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ Š Š Ž ŽŒ ŽŒ Š Š Ž žž ŽŠ Ž œ ž ŒŽœ = >ŽœœŠ œ Œ = ŒŠ ŸŠ žž =Š Ž ŽŒ Ž ž Žœ œ Ž Ž œ œž Œ Ž ŽŸ Ž ŒŽ œž ŽŒ Š Š Žœ Š Š ŽŸ Š œ ŽŠŽ Š

NERC DataGrid Architecture: Enterprise viewpoint Phase One

NERC DataGrid Architecture: Enterprise viewpoint Phase One NERC DataGrid Architecture: Enterprise viewpoint Phase One Œž Ž Ž œ ž Ž Š Ž Ž Š Š Œ ŽŒ ž Ž žœ ž Ž Š Œ ŽŒ ž Ž ŒŽœœ Š Œ Š Ž ŸŽ Šœ Œ Š Ž œž Š Š ž Š Š Ÿ Ž œ Š Š œ Ž œ Ž Š Ž Š Ž Š Œ œž žœž ŒŠœŽœ Š Ž Œ Žœ ŠŒ

More information

Intelligence. Difficulty P(E G,U)

Intelligence. Difficulty P(E G,U) !"# $!%&" '((!" )* +,-. / 012 34567 89:6;96 85=;?17@ A;:B67C:5D 85=;?17@> 0E FGHIJKFILI> A 8E M NO6 89O11P 1? 012 34567 89:6;96 Q R;S:;667:;S> T6U76V A;:B67C:5D W674C=P62 F LFIG > XC7=6P Y

More information

A Parameter Study for Differential Evolution

A Parameter Study for Differential Evolution A Parameter Study for Differential Evolution ROGER GÄMPERLE SIBYLLE D MÜLLER PETROS KOUMOUTSAKOS Institute of Computational Sciences Department of Computer Science Swiss Federal Institute of Technology

More information

Configuring the SFS Environment Manually [4]

Configuring the SFS Environment Manually [4] Configuring the SFS Enironment Manually [4]!#" %$&'%() * +,-". *'# */,0" / 1 32 4 1 '5 *,76 1 2 198;: " < =/ 4@ A5B/C"!- CDFEFGH$&I 1 @ *44 / J@< SFS!5" K,< "L *'# */,LMNG 4> *'#,-,- " 44 '? : '#"!#" O

More information

01234567898 868898838868 8 8!"!65#$8648%&89'('0)* +,-./.0,-123.456789-/9:78;?@ABCDEAFG@BH@@IJBKDEA?HEJLBDIMB?EN EI?OBMJPHJQBDRBLMSBLDTBRDDL@UBVIAB QHAFB?EBJWKJXAHDEBRMDCBDIMBI@I?OB RDMC?AYBZFH@BSJ?MUBQJBLJKHLJLBADB

More information

Adaptive Stream Resource Management Using Kalman Filters

Adaptive Stream Resource Management Using Kalman Filters Adaptive Stream Resource Management sing Kalman Filters Ankur Jain Computer Science niversity of California Santa Barbara, CA 93106 ankurj@cs.ucsb.edu Edward Y. Chang Electrical & Computer Engineering

More information

Prepared by: Yvon Filion eng. TransÉnergie, a division of Hydro-Québec

Prepared by: Yvon Filion eng. TransÉnergie, a division of Hydro-Québec Prepared by: Yvon Filion eng. TransÉnergie, 1 1- Introduction 2- Technical aspects 3- Benefits for the circuit breaker 4- Benefits for the Capacitor units 5- Benefits for the system (power quality issues)

More information

GaN PA for 4G LTE-Advanced and 5G

GaN PA for 4G LTE-Advanced and 5G MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com GaN PA for 4G LTE-Advanced and 5G Ma, R.; Teo, K.H.; Shinjo, S.; Yamanaka, K.; Asbeck, P. TR2017-160 October 2017 Abstract This paper reviews

More information

Software Engineering within a Digital Business Ecosystem

Software Engineering within a Digital Business Ecosystem Software Engineering within a Digital Business Ecosystem Giulio Marcon Salzburg University of Applied Sciences, A-5412 Puch / Salzburg, Austria July 6, 2006 Authors Giulio Marcon Salzburg University of

More information

ETSI TR V1.1.1 ( )

ETSI TR V1.1.1 ( ) TR 102 947 V1.1.1 (2013-06) Technical Report Reconfigurable Radio Systems (RRS); Use Cases for building and exploitation of Radio Environment Maps (REMs) for intra-operator scenarios 2 TR 102 947 V1.1.1

More information

Curvature of subdivision surfaces

Curvature of subdivision surfaces Curvature of subdivision surfaces a differential geometric analysis and literature review Jörg Peters, jorg@cise.ufl.edu Georg Umlauf, georg.umlauf@gmx.de Motivation Almost all subdivision algorithms in

More information

Performance Analysis of a Distributed Question/Answering System

Performance Analysis of a Distributed Question/Answering System Performance Analysis of a Distributed Question/Answering System Mihai Surdeanu, Dan I. Moldovan, and Sanda M. Harabagiu Language Computer Corporation and Department of Computer Science University of Texas

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

r v i e w o f s o m e r e c e n t d e v e l o p m

r v i e w o f s o m e r e c e n t d e v e l o p m O A D O 4 7 8 O - O O A D OA 4 7 8 / D O O 3 A 4 7 8 / S P O 3 A A S P - * A S P - S - P - A S P - - - - L S UM 5 8 - - 4 3 8 -F 69 - V - F U 98F L 69V S U L S UM58 P L- SA L 43 ˆ UéL;S;UéL;SAL; - - -

More information

Pointers. CS2023 Winter 2004

Pointers. CS2023 Winter 2004 Pointers CS2023 Winter 2004 Outcomes: Introduction to Pointers C for Java Programmers, Chapter 8, sections 8.1-8.8 Other textbooks on C on reserve After the conclusion of this section you should be able

More information

x!!!! ƒˆ{ ž Š~ u zs ªƒˆ ª / Jz < zs} q _{_ Š Š À8 Jƒ<{_ Jƒˆ} J {_ Šzs} _ ž }Wƒ< Šž {#"Yƒ< Šzs{_} u ž}s Šz }s { _ x ªƒˆ _}sƒˆ u zs ªƒˆ ª / Jz < zs} Vƒˆ

x!!!! ƒˆ{ ž Š~ u zs ªƒˆ ª / Jz < zs} q _{_ Š Š À8 Jƒ<{_ Jƒˆ} J {_ Šzs} _ ž }Wƒ< Šž {#Yƒ< Šzs{_} u ž}s Šz }s { _ x ªƒˆ _}sƒˆ u zs ªƒˆ ª / Jz < zs} Vƒˆ h "!$#%&$'()(* +-,/.0 1$23415341 #4341$678':9=?1 @BACBC0DFECBGIHJA:K8LMHONFP4A Q8RTS P RTS EC0GUHJA:K8LVHWN?P?A KYX8A:Z4@[ S EC0GUH\A0K8LVHWN?P4A ]^3_.`,);bac,)9ed)f?f4g iyj7k:lmn-o-pqk:rsmtj uwvyxz

More information

Some Properties of Regular Semigroups. Possess a Medial Idempotent

Some Properties of Regular Semigroups. Possess a Medial Idempotent International Journal of Algebra, Vol. 4, 2010, no. 9, 433-438 Some Properties of Regular Semigroups Possess a Medial Idempotent S. Hussain 1, T. Anwer 1, H. Chien 2 1 Higher Education Department, Pakistan

More information

4: Parametric curves and surfaces

4: Parametric curves and surfaces 4: Parametric curves and surfaces Lecture 1: Euclidean, similarity, affine and projective transformations omogeneous coordinates and matrices Coordinate frames Perspective projection and its matri representation

More information

options (alternatives)

options (alternatives) )! "!#$% #!&! '#($ * +,-./012-3/,-/ 452363/,7,89:636 ; ?@ABCDE=F@GGH>IJ@KLGMLBH=>JL>LGNCHC ; O@?HCH=> PQ=RG@EST=GKH>IDTBLI@C ; U@GLBH=> =V O W B= C=E@ =BX@Q O H C?HAGH>@C * 452363/,YZ8[3,\ 1,05. ],25.-83,-:

More information

Pointers & Arrays. CS2023 Winter 2004

Pointers & Arrays. CS2023 Winter 2004 Pointers & Arrays CS2023 Winter 2004 Outcomes: Pointers & Arrays C for Java Programmers, Chapter 8, section 8.12, and Chapter 10, section 10.2 Other textbooks on C on reserve After the conclusion of this

More information

Approximation algorithms for finding a -connected subgraph of a graph with minimum weight

Approximation algorithms for finding a -connected subgraph of a graph with minimum weight Approximation algorithms for finding a -connected subgraph of a graph with minimum weight Tamás Hajba Submitted to HEJ. Manuscript no.: ANM-001130-A This version is for internal use only! Abstract It is

More information

Modules. CS2023 Winter 2004

Modules. CS2023 Winter 2004 Modules CS2023 Winter 2004 Outcomes: Modules C for Java Programmers, Chapter 7, sections 7.4.1-7.4.6 Code Complete, Chapter 6 After the conclusion of this section you should be able to Understand why modules

More information

<Course name> <Lesson number>-

<Course name> <Lesson number>- s 5 ž ( ¼ "! # $&%'! )* + # ), -! # $.%! 021436587"923;:?@7923BAC=EDGF;H4=GIJDLK MNFOP>QK AGR S8T =GU T :4IQI;K M4U.< :4MNUGV4:NU6FWH6=GMN?XA T VNHNAC?@YZF[ U\[ ]K ^N5NF

More information

Surfer

Surfer Surfer : Omid.bissadi@gmail.com 1 : ' 456 '() # 7+!& 8$ Golden Software!"#$ %& '() # *+?@ A$ =!$# > 8 '.$ 4 '# 9 4)#:; FG6 B4H' B4)#:; 9 IJKL > K!& 'H Surfer BCD' E#6!M6 BN O= 4J56 +5 ل Q & Q R'S '...

More information

½ œ»ž Ž. «À- œïÿ µ à ] ½ ú ½ ƒä ½ œïÿ µ úˆå µ œï œ ˆÅ ½ ˆ½Å œ Ÿ ÄˆÅ Ä ½ ˆÅú ½ ˆÅ ž -

½ œ»ž Ž. «À- œïÿ µ à ] ½ ú ½ ƒä ½ œïÿ µ úˆå µ œï œ ˆÅ ½ ˆ½Å œ Ÿ ÄˆÅ Ä ½ ˆÅú ½ ˆÅ ž - ½ œ»ž Ž «À- œïÿ µ à ] ½ ú ½ ƒä ½ 9001-2008 œïÿ µ úˆå µ œï œ ˆÅ ½ ˆ½Å œ Ÿ ÄˆÅ Ä ½ ˆÅú ½ ˆÅ ž - ˆÅ í ½ ¾ ªŸ Ÿ í ½ ( ú] úœ ú) Ÿ º ƒä ] ½ ªŸ ¾ ½] Š Ÿ ˆÅ Ö ˆÅ Ä í¾, ˆÅ ½, œ î ½ /Š ½ ½ Ÿ ½ ˆÅ Ä ˆÅ Ÿ Š ½ ˆÅú

More information

Proc. of SPIE Vol W-1

Proc. of SPIE Vol W-1 012345617891167346178164831 6 "5&/)64)!7&4)8&!-0!7)-/4)!#$2'/)9!:#:;

More information

State of Connecticut Workers Compensation Commission

State of Connecticut Workers Compensation Commission State of Connecticut Workers Compensation Commission Notice to Employees Workers Compensation Act Chapter 568 of the Connecticut General Statutes (the Workers Compensation Act) requires your employer,

More information

Animation Curves and Splines 2

Animation Curves and Splines 2 Animation Curves and Splines 2 Animation Homework Set up Thursday a simple avatar E.g. cube/sphere (or square/circle if 2D) Specify some key frames (positions/orientations) Associate Animation a time with

More information

Monitoring Agents using Declarative Planning

Monitoring Agents using Declarative Planning In: Proc. 26th German Conference on Artificial Intelligence (KI 2003). September 15-18, University of Hamburg, Germany, LNCS/LNAI, c 2003 Springer. Monitoring Agents using Declarative Planning Jürgen Dix,

More information

±» ²¼ ª² ª³ ±» ² ª±² ( 80 ±«) ± ³» ³ ª² ; ±² ²¼ ³² ³±² ± ¹ ³ ³ ³ ³ ² «³ ± ««¾±² - ± ³«³»µ «; ² ª±² ( ±², ±, ±±³ ), ± ±² µ ±² ³ª²³».» µ³ ±²» ² ª±² ( «¾

±» ²¼ ª² ª³ ±» ² ª±² ( 80 ±«) ± ³» ³ ª² ; ±² ²¼ ³² ³±² ± ¹ ³ ³ ³ ³ ² «³ ± ««¾±² - ± ³«³»µ «; ² ª±² ( ±², ±, ±±³ ), ± ±² µ ±² ³ª²³».» µ³ ±²» ² ª±² ( «¾ Ž ˆŸ Š ˆŸŒ Ž Ž ¹µ±, ±²³ ¾¹ 5- ª«±± ³ ² ² ª ±²¼ ; \ ¹ " ±²» ² ±ª ² ±ª» ³»µ ±² ±³¹ ±² ² «¼ ( ² ; ³ «±²¼{ ³ «±²¼, : ±«, ), ² ±ª«; «² «¼ ( ª -, ;, ±«, ); ±«² «¼ ( ±««ª «±² ² ; ² ); ±² ( «; «, ±«,, ); ««(,

More information

Thick sets Contractors and separators Thick separators Test-case. Thick separators. L. Jaulin, B. Desrochers CoProd 2016, Uppsala.

Thick sets Contractors and separators Thick separators Test-case. Thick separators. L. Jaulin, B. Desrochers CoProd 2016, Uppsala. L. Jaulin, B. Desrochers CoProd 2016, Uppsala Thick sets A thin set is a subset of R n. A thick set X of R n is an interval of (P(R n ), ). X = X,X = {X P(R n ) X X X }. A thickset X is also the partition

More information

Al Fresco. Regular Bold

Al Fresco. Regular Bold Al Fresco Regular Bold User sguide font faq HOW TO INSTALL YOUR FONT You will receive your files as a zipped folder. For instructions on how to unzip your folder, visit LauraWorthingtonType.com/faqs/.

More information

On fully parallel Karatsuba Multipliers for

On fully parallel Karatsuba Multipliers for E E E On fully parallel Karatsuba Multipliers for. Rodríguez-Henríquez Computer Science Section, CINVESTV-IPN v. IPN No. 2508, Col. San Pedro Zacatenco México, D.. 07360, México. email: francisco@cs.cinvestav.mx

More information

FUZZY MODEL-BASED CONTROL OF COMPLEX PROCESSES

FUZZY MODEL-BASED CONTROL OF COMPLEX PROCESSES u y FUZZY MODEL-BASED CONTROL OF COMPLEX PROCESSES João Miguel da Costa Sousa Technical University of Lisbon, IST, Dep. of Mechanical Eng. GCAR/IDMEC, Av. Rovisco Pais,, 49- Lisbon, Portugal phone: +35

More information

CS-184: Computer Graphics. Today. Lecture #5: 3D Transformations and Rotations. Transformations in 3D Rotations

CS-184: Computer Graphics. Today. Lecture #5: 3D Transformations and Rotations. Transformations in 3D Rotations CS-184: Compute Gaphics Lectue #5: 3D Tansfomations and Rotations Pof. James O Bien Univesity of Califonia, Bekeley V2009-F-05-1.0 Today Tansfomations in 3D Rotations Matices Eule angles Eponential maps

More information

Sigler Music Fonts Jazz Font Set

Sigler Music Fonts Jazz Font Set Sigler Music Fonts Jazz Font Set Thank you for your interest in the Jazz Font Set by Sigler Music Fonts. I hope it s everything you want in a jazz music font. Following is an explanation of the 5 fonts

More information

Animating orientation. CS 448D: Character Animation Prof. Vladlen Koltun Stanford University

Animating orientation. CS 448D: Character Animation Prof. Vladlen Koltun Stanford University Animating orientation CS 448D: Character Animation Prof. Vladlen Koltun Stanford University Orientation in the plane θ (cos θ, sin θ) ) R θ ( x y = sin θ ( cos θ sin θ )( x y ) cos θ Refresher: Homogenous

More information

GIS Sys tem. Images. Image Processing. Statistical Reports. System. Maps. Map Digitizing. Statistical. Analysis System Spatial Data Base.

GIS Sys tem. Images. Image Processing. Statistical Reports. System. Maps. Map Digitizing. Statistical. Analysis System Spatial Data Base. Images Maps Map Digitizing System Image Processing System Statistical Analysis System Statistical Reports Geographic Analysis System Spatial Data Base Attribute Data Base Database Management System GIS

More information

The course that gives CMU its Zip! Web Services Nov 26, Topics HTTP Serving static content Serving dynamic content

The course that gives CMU its Zip! Web Services Nov 26, Topics HTTP Serving static content Serving dynamic content 15-213 The course that gives CMU its Zip! Web Services Nov 26, 2002 Topics HTTP Serving static content Serving dynamic content Web History 1945: 1989: 1990: Vannevar Bush, As we may think, Atlantic Monthly,

More information

Cloud computing. on demand, reliability, virtualization, provisioning, scalability

Cloud computing. on demand, reliability, virtualization, provisioning, scalability Cloud computing W A Department of Computer Science and Engineering (DCSE) Dipartimento di Informatica Scienza e Ingegneria (DISI) University of Bologna, ITALY antonio.corradi@unibo.it! terminology of cloud

More information

Casting an Abstract Design into the Framework of Java RMI

Casting an Abstract Design into the Framework of Java RMI Casting an Abstract Design into the Framework of Java RMI Klaus Bergner, Andreas Rausch, Marc Sihling Institut für Informatik Technische Universität München D-8090 München, Germany http://www4.informatik.tu-muenchen.de

More information

Single chip 2.4GHz wireless mouse using nrf24ex

Single chip 2.4GHz wireless mouse using nrf24ex Single chip.4ghz wireless mouse using nrf4ex *((5$/ With the nrf4e and nrf4e in this document called nrf4ex from Nordic VLSI ASA is it now possible to design a button axis wireless mouse for the.4ghz ISM

More information

Assessing Usage Patterns to Improve Data Allocation via Auctions

Assessing Usage Patterns to Improve Data Allocation via Auctions Assessing Usage Patterns to Improve Data Allocation via Auctions Rina Azoulay-Schwartz Sarit Kraus Department o Mathematics and Computer Science Bar-Ilan University, Ramat-Gan, 52900 Israel schwart, sarit

More information

Boolean Satisfiability with Transitivity Constraints

Boolean Satisfiability with Transitivity Constraints «oolean Satisfiability with Transitivity onstraints RNDL E. RYNT MIROSLV N. VELEV arnegie Mellon University!" # $ &%'(! *),+ (! -/. 0( 12 3 + +' 4! (! ++'" 5# 67-0!,8 9$,: &);-

More information

Curved PN Triangles. Alex Vlachos Jörg Peters

Curved PN Triangles. Alex Vlachos Jörg Peters 1 Curved PN Triangles Alex Vlachos AVlachos@ati.com Jörg Peters jorg@cise.ufl.edu Outline 2 Motivation Constraints Surface Properties Performance Demo Quick Demo 3 Constraints 4 Software Developers Must

More information

Problem Set 7 Solutions

Problem Set 7 Solutions " [ Introduction to Algorithms November 29, 200 Massachusetts Institute of Technology 6046J/18410J Professors Shafi Goldwasser and Silvio Micali Handout 27 Problem Set 7 Solutions Problem 7-1 Shortest

More information

GENERALISED TRANSPORTATION-DATA FORMAT (GTF): DATA, MODEL AND MACHINE INTERACTION

GENERALISED TRANSPORTATION-DATA FORMAT (GTF): DATA, MODEL AND MACHINE INTERACTION 1 GENERALISED TRANSPORTATION-DATA FORMAT (GTF): DATA, MODEL AND MACHINE INTERACTION Dr. Benedikt Mandel, Eduard Ruffert, MKmetric Gesellschaft für Systemplanung mbh, Karlsruhe, Germany Abstract Exchanging

More information

Intra-Clustering: Accelerating On-Chip Communication for Data Parallel Architectures

Intra-Clustering: Accelerating On-Chip Communication for Data Parallel Architectures ntra-clustering: Accelerating On-Chip Communication for Data Parallel Architectures Wen Yuan 1, Rahul Boyapati 2, Lei Wang 3, Hyunjun Jang 2, Yuho Jin 4, Ki Hwan Yum 2, and Eun Jung Kim 2 1 Samsung Austin

More information

Multiuser Mode Guests [8]

Multiuser Mode Guests [8] n n o o 9 Multiuser Mode Guests [8]!"# $ %& $ %'()% * $(+,- +,&. 8.1 Considerations /!0# $ % $ %120% *3,+,- 3 45+, 6 $ " )- - 78 $ %:9 ; %?@ 3

More information

NON-SQUARE BLIND SOURCE SEPARATION UNDER COHERENT NOISE BY BEAMFORMING AND TIME-FREQUENCY MASKING. Radu Balan, Justinian Rosca, Scott Rickard

NON-SQUARE BLIND SOURCE SEPARATION UNDER COHERENT NOISE BY BEAMFORMING AND TIME-FREQUENCY MASKING. Radu Balan, Justinian Rosca, Scott Rickard NON-SQUARE BLIND SOURCE SEPARATION UNDER COHERENT NOISE BY BEAMFORMIN AND TIME-FREQUENCY MASKIN Radu Balan, Justinian Rosca, Scott Rickard Siemens Corporate Research, 755 College Road East, Princeton,

More information

Quaternion properties: addition. Introduction to quaternions. Quaternion properties: multiplication. Derivation of multiplication

Quaternion properties: addition. Introduction to quaternions. Quaternion properties: multiplication. Derivation of multiplication Introduction to quaternions Definition: A quaternion q consists of a scalar part s, s, and a vector part v ( xyz,,, v 3 : q where, [ s, v q [ s, ( xyz,, q s+ ix + jy + kz i 2 j 2 k 2 1 ij ji k k Quaternion

More information

SINGLE Technical Data Book. SINGLE for Europe (R410A, HP)

SINGLE Technical Data Book. SINGLE for Europe (R410A, HP) SINGLE Technical Data Book SINGLE for Europe (RA, HP) History Ver.. Release Single TDB for Europe.. Ver.. Add tcoe data (Specifications).. 9 Ver.... 9 CAC - World-class energy efficiency Maintain optimal

More information

DAY,.JANUARY 5, 1918 s.:i. A a T B O D B H « gg P li. SO UTH ST R E ET. BOY S A R B T A K E N FR O M T H E A G E O F E IG H T. i I..

DAY,.JANUARY 5, 1918 s.:i. A a T B O D B H « gg P li. SO UTH ST R E ET. BOY S A R B T A K E N FR O M T H E A G E O F E IG H T. i I.. ~~ * b ( : 3 5 0 BB Y Y 5 98 : : : ~ ~ : B B «8 B Y y < b / q b* x bb y :» > < ( q y x : K y b x y x x» b B y ^ 8 y Bx 3: ( ^ ^ 2* >? x 5 2 ^ Y ky Y b b B B B ( y ) B B ( ) B B B BK " B y Bkk / 2 B 5 y

More information

C.A.G.E.S. errata. Donald L. Kreher and Douglas R. Stinson. December 15, 2004

C.A.G.E.S. errata. Donald L. Kreher and Douglas R. Stinson. December 15, 2004 2 I CAS errata Donald L Kreher and Douglas R Stinson Deember 15, 2004 This page ontains orretions and omments on the first edition of Combinatorial Algorithms: eneration, numeration and Searh, by Donald

More information

CMPT 470 Based on lecture notes by Woshun Luk

CMPT 470 Based on lecture notes by Woshun Luk * ) ( & 2XWOLQH &RPSRQHQ 2EMHF 0RGXOHV CMPT 470 ased on lecture notes by Woshun Luk What is a DLL? What is a COM object? Linking two COM objects Client-Server relationships between two COM objects COM

More information

Larger Precision Gimbal Mirror Holders

Larger Precision Gimbal Mirror Holders Larger Precision imbal Mirror MHD imbal mirror holders intended for use with mirrors with diameter of 100mm or larger. These mirror holders can minimize optical path length difference, a problem in large

More information

ANALYSIS OF KOREAN MEGALITHIC BUDDHA USING PHOTOGRAMMETRIC AND LASER SCANNING SYSTEM

ANALYSIS OF KOREAN MEGALITHIC BUDDHA USING PHOTOGRAMMETRIC AND LASER SCANNING SYSTEM ANALYSIS OF KOREAN MEGALITHIC BUDDHA USING PHOTOGRAMMETRIC AND LASER SCANNING SYSTEM Yeu, Bock-Mo*, Kim, Gi-Hong*, Sohn, Duk-Jae**, Kim, Wondae*** * Yonsei University, Korea Dept. of Civil Engineering,

More information

Quasilinear First-Order PDEs

Quasilinear First-Order PDEs MODULE 2: FIRST-ORDER PARTIAL DIFFERENTIAL EQUATIONS 16 Lecture 3 Quasilinear First-Order PDEs A first order quasilinear PDE is of the form a(x, y, z) + b(x, y, z) x y = c(x, y, z). (1) Such equations

More information

Using Akaroa2 with OMNeT++

Using Akaroa2 with OMNeT++ Published at the 2nd Intl. OMNeT++ Workshop. January 8-9, 2002 Technical University Berlin Berlin, Germany Using Akaroa2 with OMNeT++ Steffen Sroka and Holger Karl Telecommunication Networks Group Technical

More information

Evaluation of Ethernet based Control Network used in the Distributed Control System

Evaluation of Ethernet based Control Network used in the Distributed Control System Proceedings on the 15th CISL Winter Workshop Kushu, Japan February 2002 Evaluation of Ethernet based Control Network used in the Distributed Control System Jae Young Choi Control Information Systems Lab.,

More information

Platform-based SoC Design

Platform-based SoC Design Platform-based SoC Design Res Saleh University of British Columbia Dept. of ECE res@ece.ubc.ca 1 Evolution from ASICs to Platform-Based Design For SoC s, Platform-Based Design is the next logical evolution

More information

Lecture 5 C Programming Language

Lecture 5 C Programming Language Lecture 5 C Programming Language Summary of Lecture 5 Pointers Pointers and Arrays Function arguments Dynamic memory allocation Pointers to functions 2D arrays Addresses and Pointers Every object in the

More information

Pictograms of he table heads. Pictograms of the technical data

Pictograms of he table heads. Pictograms of the technical data Pictograms of he table heads Shrinking tube for cable cord Outer jacket covering tube Main Side t Hardening time ml Volume Water uptake ( 42 days at 50 C) Terminal capacity 3 Three wires m Weight Pictograms

More information

First Quarter 2009 Production Wells PW-1, PW-2 and PW-3

First Quarter 2009 Production Wells PW-1, PW-2 and PW-3 First Quarter 2009 Production Wells PW-1, PW-2 and PW-3 This page intentionally left blank BD[ % &'(& )&''* (+,(-./01234501 6789:3 lj>gf \UY \UUm E=IF>K KFc ^JGf EF?=>D ;?@ AB=CD E=DFB>G=D HF>IF>JKLF

More information

Fractional Rate Dataflow Model for Efficient Code Synthesis

Fractional Rate Dataflow Model for Efficient Code Synthesis Fractional Rate Dataflow Model for Efficient Code Synthesis Hyunok Oh Soonhoi Ha The School of Electrical Engineering and Computer Science Seoul National University Seoul 151-742, KOREA TEL : +82-28807292

More information

This component provides an industry-standard, 4-wire SPI interface. Three different SPI protocols or modes are supported:

This component provides an industry-standard, 4-wire SPI interface. Three different SPI protocols or modes are supported: P Creator Component Datasheet PSoC 4 Serial Communication Block (SCB) SPI This component provides an industry-standard, 4-wire SPI interface. Three different SPI protocols or modes are supported: Original

More information

CS 268: DHTs. Page 1. How Did it Start? Model. Main Challenge. Napster. Other Challenges

CS 268: DHTs. Page 1. How Did it Start? Model. Main Challenge. Napster. Other Challenges How Did it Start? CS : DHTs A killer application: Naptser - Free music over the Internet Key idea: share the content, storage and bandwidth of individual (home) users Scott Shenker and Ion Stoica April,

More information

3D Transformation. In 3D, we have x, y, and z. We will continue use column vectors:. Homogenous systems:. x y z. x y z. glvertex3f(x, y,z);

3D Transformation. In 3D, we have x, y, and z. We will continue use column vectors:. Homogenous systems:. x y z. x y z. glvertex3f(x, y,z); 3D Transformation In 3D, we have x, y, and z. We will continue use column vectors:. Homogenous systems:. 3D Transformation glvertex3f(x, y,z); x y z x y z A Right Handle Coordinate System x y z; y z x;

More information

Classes of graphs with restricted interval models

Classes of graphs with restricted interval models Discrete Mathematics and Theoretical Computer Science 3, 1999, 167 176 Classes of graphs with restricted interval models Andrzej Proskurowski and Jan Arne Telle University of Oregon, Eugene, Oregon, USA

More information

Flight Test Research

Flight Test Research Flight Test Research Principal Investigator:Mike Bragg and Tom Ratvasky Post Doc s: Andy Broeren Sam Lee Graduate Students: James Melody Edward Whalen Core Technologies SMART ICING SYSTEMS Research Organization

More information

Enhanced Dominant Pruning Applied to The Route Discovery Process of On-demand Routing Protocols

Enhanced Dominant Pruning Applied to The Route Discovery Process of On-demand Routing Protocols Enhanced Dominant Pruning Applied to The Route Discovery Process of On-demand Routing Protocols Marco Aurélio Spohn Computer Science Department University of California at Santa Cruz Santa Cruz, CA 95064

More information

Automated Fast-Track Reconfiguration of Group Communication Systems

Automated Fast-Track Reconfiguration of Group Communication Systems Automated Fast-Track Reconfiguration of Group Communication Systems Christoph Kreitz Department of Computer Science, Cornell-University Ithaca, NY 14853-7501, U.S.A. kreitz@cs.cornell.edu Abstract. We

More information

HoneyBee User s Guide

HoneyBee User s Guide HoneyBee User s Guide font faq HOW TO INSTALL YOUR FONT You will receive your files as a zipped folder. For instructions on how to unzip your folder, visit LauraWorthingtonType.com/faqs/. Your font is

More information

Outlier Detection and Explanation with Random Forests

Outlier Detection and Explanation with Random Forests Outlier Detection and Explanation with Random Forests Graph mining and outlier detection meets Logic proof tutoring Karel Vaculík, Leona Nezvalová, Luboš Popelínský Knowledge Discovery Lab, FI MU Brno

More information

User Manual. OpenType. Compatible Applications

User Manual. OpenType. Compatible Applications User Manual for OpenType Compatible Applications Thank ou If you've just purchased Metroscript or are thinking about it - Thank You! This manual for its usage in OpenType capable applications will help

More information

Selective Open Recursion

Selective Open Recursion Selective Open Recursion A Solution to the ragile Baselass roblem Kevin Donnelly, Jonathan Aldrich Selective Open Recursion p.1 odularity What? Why? Break complex systems into modules with specified interfaces

More information

Rapid Prototyping of flexible Embedded Systems on multi-dsp Architectures

Rapid Prototyping of flexible Embedded Systems on multi-dsp Architectures Rapid Prototyping of flexible Embedded Systems on multi-dsp Architectures Bernhard Rinner, Martin Schmid and Reinhold Weiss Institut für Technische Informatik Technische Universität Graz Inffeldgasse 16/1,

More information

The Base Platform oficvsystemand Its Industrialization Approach in China

The Base Platform oficvsystemand Its Industrialization Approach in China Intelligent Transportation and Autonomous Vehicles Introduction to Dr. Keqiang Li Professor of Automotive Engineering, Tsinghua University Chairman of Expert Committee, CAICV ( China Industry Innovation

More information

Chapter 3: Direct Proofs

Chapter 3: Direct Proofs 3.1: Getting Started on a Problem Chapter 3: Direct Proofs Let's review some steps for studying the truth of a statement. Step 1, Examples: If possible, look at some specific examples, including extreme

More information

Chapter 5 - Functions

Chapter 5 - Functions Chapter 5 - Functions! 0 6 ;: > E 5J7J 5J 5J! 5J #"%$& ' ( )+*, -. / * - # * - # 213 45 * - # 7 )98 < = *?' )A@B?' )+C 4; D - C/ =(GF 'H I D. K D L M N& K - (8 C C -( O C -( O P7 7Q R S+T?U V&WAXZY\[^]`_bacXde[fW

More information

F?G HI?JJKG EL MNOMNNPQ

F?G HI?JJKG EL MNOMNNPQ 2345567 9 76 6 9 4 6!7" 6 #%%6 6 " 6 #7$ &45 ' (%%76" (%%76", & 26-74 4" &4%6! ))) # 6+3 ) *3 67+6 &47 346 346016"4 346,!1.2 #46 )/*) 0 4736 '6%67 6 &766% -, 4 56"54"6 #%"34"23+4 " &36% 4 6)--,/),), #

More information

Basic Graph Algorithms (CLRS B.4-B.5, )

Basic Graph Algorithms (CLRS B.4-B.5, ) Basic Graph Algorithms (CLRS B.-B.,.-.) Basic Graph Definitions A graph G = (V,E) consists of a finite set of vertices V and a finite set of edges E. Directed graphs: E is a set of ordered pairs of vertices

More information

Network-Wide BGP Route Prediction for Traffic Engineering

Network-Wide BGP Route Prediction for Traffic Engineering Network-Wide BGP Route Prediction for Traffic Engineering Nick Feamster a and Jennifer Rexford b a Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA b Internet

More information

Introduction. Plastic XCSDMC XCSDMP XCSDMR. Page. Page. Page. Introduction: page. References: page. Dimensions: page. Wiring diagrams: page.

Introduction. Plastic XCSDMC XCSDMP XCSDMR. Page. Page. Page. Introduction: page. References: page. Dimensions: page. Wiring diagrams: page. Introduction C Plastic XCSDMC R! " #$ " % & '(! "!# " ) * Precabled connection Connector on pigtail connection XCSDMP Page R,, $-# ".% " (! & '%% " ( "!$ * Precabled connection Connector on pigtail connection

More information

Chapter 1. OO e OO. (Pattern) Alexander) (context) (elements) k. (issue) Š. (name) (classification)

Chapter 1. OO e OO. (Pattern) Alexander) (context) (elements) k. (issue) Š. (name) (classification) Chapter 1 OO OO l s ( )l s( ƒ n n m² OO Œ ž OO k ž OO Œ n (Pattern) k ps ½ s x n k w wyÿ i OO wk n Ÿ Äwy ½ x wž yy? Pattrn (core) ƒ n y (Christopher Alexander) l ƒ gp (context) (elements) k k (cosequences)

More information

File Structures N F. Chapter 1-1. z M.Folk and B.Zoellick, File Structures, Addison Wesley.

File Structures N F. Chapter 1-1. z M.Folk and B.Zoellick, File Structures, Addison Wesley. File Structures žöof ú êëov f Ž N F z M.Folk and B.Zoellick, File Structures, Addison Wesley. z E. Horowitz, S. Sahni, and S. Anderson-Freed, Fundamentals of Data Structures in C, Computer Science Press.

More information

Exact Two Image Structure from Motion

Exact Two Image Structure from Motion Exact Two Image Structure from Motion ohn Oliensis (oliensis@research.nj.nec.com) NEC Research Institute 4 Independence ay Princeton, N.. 854 bstract For two image structure from motion, we present a simple,

More information

Data Storage in Sensor Networks for Multi-dimensional Range Queries

Data Storage in Sensor Networks for Multi-dimensional Range Queries Data Storage in Sensor Networks for Multi-dimensional Range Queries Ji Yeon Lee 1, Yong Hun Lim 2, Yon Dohn Chung 3,*, and Myoung Ho Kim 4 1 E-Government Team, National Computerization Agency, Seoul, Korea

More information

Learning Object Detection from a Small Number of Examples: the Importance of Good Features.

Learning Object Detection from a Small Number of Examples: the Importance of Good Features. Learning Object Detection from a Small Number of Examples: the Importance of Good Features. Kobi Levi and Yair Weiss School of Computer Science and Engineering The Hebrew University of Jerusalem 91904

More information

Maximum Loop Distribution and Fusion for Two-level Loops Considering Code Size

Maximum Loop Distribution and Fusion for Two-level Loops Considering Code Size Maximum Loop Distribution and Fusion for Two-level Loops Considering Code Size Meilin Liu Qingfeng Zhuge Zili Shao Chun Xue Meikang Qiu Edwin H.-M. Sha Department of Computer Science Department of Computing

More information

Controlling the Mobility of Multiple Data Transport Ferries in a Delay-Tolerant Network

Controlling the Mobility of Multiple Data Transport Ferries in a Delay-Tolerant Network Controlling the Mobility of Multiple Data ransport Ferries in a Delay-olerant Network Wenrui Zhao, Mostafa Ammar and Ellen Zegura College of Computing, Georgia Institute of echnology, Atlanta, Georgia

More information

ABSTRACT KEY WORDS. 1. Introduction. 2. Basic definitions

ABSTRACT KEY WORDS. 1. Introduction. 2. Basic definitions 0(6+6(*0(17$7,2186,1*7+(2%-(&76.(/(721*5$3+ David Brunner, Guido Brunnett TU-Chemnitz 09111 Chemnitz Germany {brunner, brunnett}@informatik.tu-chemnitz.de ABSTRACT We present a method for mesh segmentation

More information

Supporting Exploratory Queries in Databases

Supporting Exploratory Queries in Databases Supporting Exploratory Queries in Databases Abhijit Kadlag, Amol V. Wanjari, Juliana Freire, and Jayant R. Haritsa Dept. of Computer Science & Automation Indian Institute of Science, Bangalore 560012,

More information

A CORBA BASED UNIVERSAL OPTIMIZATION SERVICE

A CORBA BASED UNIVERSAL OPTIMIZATION SERVICE A CORBA BASED UNIVERSAL OPTIMIZATION SERVICE K. Lehner, M. Baitsch and D. Hartmann Department of Civil Engineering, Ruhr-University Bochum, D-44780 Bochum, Germany E-mail: Karlheinz.Lehner@ruhr-uni-bochum.de,

More information

Performance Evaluation of Delay-Constrained Least-Cost QoS Routing Algorithms Based on Linear and Nonlinear Lagrange Relaxation

Performance Evaluation of Delay-Constrained Least-Cost QoS Routing Algorithms Based on Linear and Nonlinear Lagrange Relaxation Performance Evaluation of Delay-Constrained Least-Cost QoS Routing Algorithms Based on Linear and Nonlinear Lagrange Relaxation Gang Feng, Christos Douligeris, Kia Makki, Niki Pissinou Telecommunications

More information

FACE RECOGNITION AGAINST VARYING LIGHTING CONDITIONS USING ORIENTED PHASE CONGRUENCY IMAGE FEATURES

FACE RECOGNITION AGAINST VARYING LIGHTING CONDITIONS USING ORIENTED PHASE CONGRUENCY IMAGE FEATURES FACE RECOGNITION AGAINST VARYING LIGHTING CONDITIONS USING ORIENTED PHASE CONGRUENCY IMAGE FEATURES 1 HENDRA KUSUMA, 2 WIRAWAN, 3 ADI SOEPRIJANTO 1,2,3 Department of Electrical Engineering, Institut Teknologi

More information

CS 268: Lecture 9 Inter-domain Routing Protocol

CS 268: Lecture 9 Inter-domain Routing Protocol Overview CS 68: Lecture 9 Inter-domain Routing Protocol An Introduction to BGP BGP and the Stable Paths problem Convergence of BGP in the real world The End-to-End Effects of Internet Path Selection Scott

More information