7 Pages

quicksort

Course: CS 5381, Fall 2008
School: Texas Tech
Rating:
 
 
 
 
 

Word Count: 1663

Document Preview

*UHDW 7ZR 6RUWLQJ $OJRULWKPV /HFWXUH 4XLFNVRUW 0HUJHVRUW 7ZR JUHDW VRUWLQJ DOJRULWKPV s )XOO VFLHQWLILF XQGHUVWDQGLQJ RI WKHLU SURSHUWLHV KDV HQDEOHG XV WR KDPPHU WKHP LQWR SUDFWLFDO V\VWHP VRUWV 2FFXSLHV D SURPLQHQW SODFH LQ ZRUOG V FRPSXWDWLRQDO LQIUDVWUXFWXUH GDWDEDVH VHDUFK FRPSXWDWLRQDO JHRPHWU\ ILQGLQJ UHSHWLWLRQ LQ '1$ VHTXHQFHV %XUURZV:KHHOHU WUDQVIRUP s s 0HUJHVRUW s -DYD V\VWHP VRUW...

Register Now

Unformatted Document Excerpt

Coursehero >> Texas >> Texas Tech >> CS 5381

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
*UHDW 7ZR 6RUWLQJ $OJRULWKPV /HFWXUH 4XLFNVRUW 0HUJHVRUW 7ZR JUHDW VRUWLQJ DOJRULWKPV s )XOO VFLHQWLILF XQGHUVWDQGLQJ RI WKHLU SURSHUWLHV KDV HQDEOHG XV WR KDPPHU WKHP LQWR SUDFWLFDO V\VWHP VRUWV 2FFXSLHV D SURPLQHQW SODFH LQ ZRUOG V FRPSXWDWLRQDO LQIUDVWUXFWXUH GDWDEDVH VHDUFK FRPSXWDWLRQDO JHRPHWU\ ILQGLQJ UHSHWLWLRQ LQ '1$ VHTXHQFHV %XUURZV:KHHOHU WUDQVIRUP s s 0HUJHVRUW s -DYD V\VWHP VRUW 4XLFNVRUW s 8QL[ V\VWHP VRUW & VWDQGDUG OLEUDU\ IXQFWLRQ LV HYHQ QDPHG TVRUW s (VWLPDWLQJ WKH 5XQQLQJ 7LPH 7RWDO UXQQLQJ WLPH LV VXP RI FRVW IUHTXHQF\ IRU DOO RI WKH EDVLF RSV s (VWLPDWLQJ WKH 5XQQLQJ 7LPH $Q HDVLHU DOWHUQDWLYH L $QDO\]H DV\PSWRWLF JURZWK DV D IXQFWLRQ RI LQSXW VL]H 1 LL )RU PHGLXP 1 UXQ DQG PHDVXUH WLPH LLL )RU ODUJH 1 XVH L DQG LL WR SUHGLFW WLPH &RVW GHSHQGV RQ PDFKLQH FRPSLOHU )UHTXHQF\ GHSHQGV RQ DOJRULWKP LQSXW s )RU VRUWLQJ s $ % & UHFXUVLYH FDOOV H[FKDQJHV FRPSDULVRQV $ % & $V\PSWRWLF JURZWK UDWHV s s s (VWLPDWH DV D IXQFWLRQ RI LQSXW VL]H 1 1 1 ORJ 1 1 1 1 ! " I s &RVW RQ D W\SLFDO PDFKLQH s ,JQRUH ORZHU RUGHU WHUPV DQG OHDGLQJ FRHIILFLHQWV ([ 1 1 LV DV\PSWRWLFDOO\ SURSRUWLRQDO WR 1 " ! " ,QVHUWLRQ VRUW LV TXDGUDWLF 2Q DUL]RQD VHFRQG IRU 1 s +RZ ORQJ IRU 1 1 1 1 PLOOLRQ" ELOOLRQ" WULOOLRQ" " VHFRQGV WLPHV DV ORQJ KRXUV DQRWKHU IDFWRU RI \HDUV DQRWKHU IDFWRU RI % 9hyqFu s s s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s 0HUJHVRUW 0HUJHVRUW GLYLGHDQGFRQTXHU s 'LYLGH DUUD\ LQWR WZR KDOYHV 1 PHDQV ^ 1 1 1 1 1 ` LJQRUH ORZHU RUGHU WHUPV DQG OHDGLQJ FRHIILFLHQWV ! ! ! ! $ s 21 PHDQV ^ 1 1 1 1 1 DQG IDVWHU XVH IRU XSSHU ERXQGV ! ! ! ! ! $ 1 1 1 ` $ EIrh (#$ s 1 PHDQV ^ 1 1 1 1 1 DQG VORZHU XVH IRU ORZHU ERXQGV ! ! ! ! ! $ 1 1 1 ` " $ A A L L G G O O R R I I T T H H M M S S GLYLGH 0HUJHVRUW 0HUJHVRUW GLYLGHDQGFRQTXHU s 0HUJHVRUW 0HUJHVRUW GLYLGHDQGFRQTXHU s 'LYLGH DUUD\ LQWR WZR KDOYHV 5HFXUVLYHO\ VRUW HDFK KDOI 'LYLGH DUUD\ LQWR WZR KDOYHV 5HFXUVLYHO\ VRUW HDFK KDOI 0HUJH WZR KDOYHV WR PDNH VRUWHG ZKROH s s s A A A L G L G L G O O O R R R I I H T T I H H M M M S S S T GLYLGH VRUW A A A A L L G G G L G O O H O R R I R I I H T T I O H H M R M M S S S S T T GLYLGH VRUW PHUJH L M 0HUJHVRUW $QDO\VLV +RZ ORQJ GRHV PHUJHVRUW WDNH" s 3URRI E\ 3LFWXUH RI 5HFXUVLRQ 7UHH 0 if N = 1 T( N ) = 2T ( N / 2) + { otherwise N 1 24 4 3 sorting both halves merging UI %RWWOHQHFN PHUJLQJ DQG FRS\LQJ PHUJLQJ WZR ILOHV RI VL]H 1 UHTXLUHV 1 FRPSDULVRQV 71 FRPSDULVRQV WR PHUJHVRUW 1 HOHPHQWV WR PDNH DQDO\VLV FOHDQHU DVVXPH 1 LV D SRZHU RI s 1 UI! 0 if N = 1 T( N ) = 2T ( N / 2) + { otherwise N 1 24 4 3 sorting both halves merging UI# UI! 1 1 1 x x UI# UI# UI# ytI &ODLP 71 s 1 ORJ 1 UI! N 1RWH VDPH QXPEHU RI FRPSDULVRQV IRU $1< ILOH HYHQ DOUHDG\ VRUWHG :H OO JLYH VHYHUDO SURRIV WR LOOXVWUDWH VWDQGDUG WHFKQLTXHV U! U! U! U! U! U! U! U! s 1 1 ORJ 1 ! 3URRI E\ 7HOHVFRSLQJ &ODLP 71 1 ORJ 1 ZKHQ 1 LV D SRZHU RI 0DWKHPDWLFDO ,QGXFWLRQ 0DWKHPDWLFDO LQGXFWLRQ s 0 if N = 1 T( N ) = 2T ( N / 2) + { N otherwise 1 24 4 3 sorting both halves merging T(N ) = N = = L = = 2T ( N / 2) N T ( N / 2) N /2 T ( N / 4) N /4 T(N / N ) N/N log 2 N 3RZHUIXO DQG JHQHUDO SURRI WHFKQLTXH LQ GLVFUHWH PDWKHPDWLFV 7R SURYH D WKHRUHP WUXH IRU DOO LQWHJHUV N %DVH FDVH SURYH LW WR EH WUXH IRU 1 ,QGXFWLRQ K\SRWKHVLV DVVXPLQJ LW LV WUXH IRU DUELWUDU\ 1 ,QGXFWLRQ VWHS VKRZ LW LV WUXH IRU 1 s 3URRI )RU 1 ! + 1 + 1 + 1 + 1 + 1 +L+ 1 14 4 2 3 log 2 N &ODLP 1 11 IRU DOO 1 3URRI E\ PDWKHPDWLFDO LQGXFWLRQ s %DVH FDVH 1 ,QGXFWLRQ K\SRWKHVLV DVVXPH 1 ,QGXFWLRQ VWHS 1 1 11 1 1 1 1 1 11 s s 3URRI E\ ,QGXFWLRQ &ODLP 71 1 ORJ 1 DVVXPLQJ 1 D LV SRZHU RI 3URRI E\ ,QGXFWLRQ :KDW LI 1 LV QRW D SRZHU RI " s 0 if N = 1 T( N ) = 2T ( N / 2) + { N otherwise 1 24 4 3 sorting both halves merging 71 VDWLVILHV IROORZLQJ UHFXUUHQFH 3URRI E\ LQGXFWLRQ RQ 1 s if N = 1 0 T( N ) = T ( N / 2 ) + T ( N / 2 ) + N otherwise { 14243 14243 merging solve right half solve left half &ODLP 3URRI 71 1 ORJ 1 6HH VXSSOHPHQWDO VOLGHV %DVH FDVH 1 1 ORJ 1 1 ORJ 1 s ,QGXFWLYH K\SRWKHVLV 71 *RDO VKRZ WKDW 71 s T ( 2 N ) = 2T ( N ) + 2 N = 2 N log 2 N + 2 N = 2 N log 2 ( 2 N ) = 2 N (log 2 ( 2 N ) 1) + 2 N &RPSXWDWLRQDO &RPSOH[LW\ )UDPHZRUN WR VWXG\ HIILFLHQF\ RI DOJRULWKPV ([DPSOH s 'HFLVLRQ 7UHH VRUWLQJ <(6 D D 12 0$&+,1( 02'(/ FRXQW IXQGDPHQWDO RSHUDWLRQV FRXQW QXPEHU RI FRPSDULVRQV D D 833(5 %281' DOJRULWKP WR VROYH WKH SUREOHP ZRUVWFDVH 1 ORJ 1 IURP PHUJHVRUW /2:(5 %281' SURRI WKDW QR DOJRULWKP FDQ GR EHWWHU 1 ORJ 1 1 ORJ H 237,0$/ $/*25,7+0 ORZHU ERXQG a XSSHU ERXQG PHUJHVRUW D D 12 <(6 SULQW D D D 12 SULQW D D D <(6 SULQW D D D 12 s <(6 SULQW D D D <(6 SULQW D D D s D D D D 12 SULQW D D D s &RPSDULVRQ %DVHG 6RUWLQJ /RZHU %RXQG 7KHRUHP $Q\ FRPSDULVRQ EDVHG VRUWLQJ DOJRULWKP PXVW XVH 1 ORJ1 FRPSDULVRQV 3URRI :RUVW FDVH GLFWDWHG E\ WUHH KHLJKW K s 6RUWLQJ $QDO\VLV 6XPPDU\ 5XQQLQJ WLPH HVWLPDWHV s +RPH SF H[HFXWHV FRPSDULVRQVVHFRQG 6XSHUFRPSXWHU H[HFXWHV FRPSDULVRQVVHFRQG s 1 GLIIHUHQW RUGHULQJV 2QH RU PRUH OHDYHV FRUUHVSRQGLQJ WR HDFK RUGHULQJ %LQDU\ WUHH ZLWK 1 OHDYHV PXVW KDYH KHLJKW pr ur r DrvTI uhq vh vh vyyv !'u rpq ivyyv " &rh %rrx HrtrIytI uhq vh vh vyyv rp vh ivyyv 'v vh s s h log 2 ( N ! ) log 2 ( N / e ) N = N log 2 6WLUOLQJ V IRUPXOD 2 N N log e /HVVRQ JRRG DOJRULWKPV DUH EHWWHU WKDQ VXSHUFRPSXWHUV +RZ GRHV TXLFNVRUW ILW LQWR WKH SLFWXUH" )RRG IRU WKRXJKW :KDW LI ZH GRQ W XVH FRPSDULVRQV" ! 6WD\ WXQHG IRU UDGL[ VRUW 4XLFNVRUW 4XLFNVRUW s 4XLFNVRUW 4XLFNVRUW s 3DUWLWLRQ DUUD\ VR WKDW VRPH SDUWLWLRQLQJ HOHPHQW a[m] LV LQ LWV ILQDO SRVLWLRQ QR ODUJHU HOHPHQW WR WKH OHIW RI m QR VPDOOHU HOHPHQW WR WKH ULJKW RI m 86SChr 3DUWLWLRQ DUUD\ VR WKDW VRPH SDUWLWLRQLQJ HOHPHQW a[m] LV LQ LWV ILQDO SRVLWLRQ QR ODUJHU HOHPHQW WR WKH OHIW RI m QR VPDOOHU HOHPHQW WR WKH ULJKW RI m 6RUW HDFK KDOI UHFXUVLYHO\ SDUWLWLRQLQJ HOHPHQW SDUWLWLRQLQJ HOHPHQW s Q I U C I K / C I K C S L O Q R U T S I O S R / C T O S O O L O Q C I U C I I K C I K K C S L O O Q R O U T O S I Q O S R C S T O S O T O L U O 6RUW HDFK KDOI SDUWLWLRQHG DUUD\ 4XLFNVRUW :RUVW &DVH 1XPEHU RI FRPSDULVRQV LQ ZRUVW FDVH LV TXDGUDWLF s 4XLFNVRUW $YHUDJH &DVH 3UHFRQGLWLRQ ILOH LV UDQGRPO\ VKXIIOHG EHIRUHKDQG s 1 1 1 11 2U SDUWLWLRQ RQ 5$1'20 HOHPHQW :RUVWFDVH LQSXWV s ([SHFWHG QXPEHU RI FRPSDULVRQV s $OUHDG\ VRUWHG 5HYHUVH VRUWHG $OO HTXDO 6WD\ WXQHG s 5RXJKO\ 1 OQ 1 1 OR...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Texas Tech - CS - 5381
Symbol TablesSymbol TablesSymbol table, dictionary.nSet of items with keys. INSERT a new item. SEARCH for an existing item with a given key.nnApplications.These lecture slides have been adapted from:nOnline phone book looks up names
Texas Tech - CS - 5352
ProcessesCS 217Operating System Supports virtual machinesPromises each process the illusion of having whole machine to itself Provides services:Protection Scheduling Memory management File systems Synchronization etc.User ProcessUs
Texas Tech - CS - 5352
Chapter 5: ThreadsSingle and Multithreaded ProcessesOverview Multithreading Models Threading Issues Pthreads Solaris 2 Threads Windows 2000 Threads Linux Threads Java ThreadsOperating System Concepts5.1Silberschatz, Galvin and Gagne 2002O
Texas Tech - CS - 5353
Symbol Table ImplementationsSymbol table will be used to answer two questions:1.Given a declaration of a name, is there already a declaration of the same name in the current scopei.e., is it multiply declared?2.Given a use of a name, to whic
Texas Tech - CS - 5353
Lexical AnalysisRegular Expressions Nondeterministic Finite Automata (NFA) Deterministic Finite Automata (DFA) Implementation Of DFAKey Differences for a Scanner and RE RecognizerGiven a single string, automata and regular expressions retuned a B
Texas Tech - CS - 5353
Top-Down ParsingTop-down parsing methodsRecursive descent Predictive parsingImplementation of parsers Two approachesTop-down easier to understand and program manually Bottom-up more powerful, used by most parser generatorsReading: Section 4.
Texas Tech - CS - 5331
What is `Object-Oriented Programming'? (1991 revised version)Bjarne Stroustrup AT&amp;T Bell Laboratories Murray Hill, New Jersey 07974ABSTRACT `Object-Oriented Programming' and `Data Abstraction' have become very common terms. Unfortunately, few peop
Texas Tech - CS - 5353
Where are we? We have talked aboutIntermediate RepresentationsFebruary 19, 2001 CS 132: Compiler Design Reading in concrete syntax Generating abstract syntax Analyzing and annotating the abstract syntax Typechecking Escaping variables Wha
UMBC - P - 192
Expansion Coefficients at Room Temperature Linear Expansion (10-5/K) Solids Aluminum Brass Copper Glass Pyrex Glass Iron(soft) Lead Platinum Quartz Silver Steel Tungsten Concrete Liquids Benzene Ethyl Alcohol Gasoline Mercury Water (&gt;10C) Gases Air
UMBC - P - 192
Physics 192 Tutorial Circuits1. In the circuit shown, find the total resistance. 27 12 V 100 500 2. Find the total resistance of: 100 220 1000 220 4700 20 V3. Find the total resistance for: 270 20 V 1 k 100 10 k4.7 k100 k4. For
UMBC - P - 192
Physics 192 Tutorial Circuits 2 Kirchhoff's Laws 1. In the circuit shown, find the current in each resistor. 87 12 V 120 4V2. Find the current in each resistor: 220 20 V 520 12 V840 3. For the circuit below, calculate the current flowing
UMBC - P - 151
Physics 151: Vector Mathematicsr 1) The vector A is: v A) greater than A in magnitude r C) in the direction opposite to Av B) less than A in magnitude r D) perpendicular to A2) Select the list which contains only vector quantities? A) distance,
UMBC - P - 151
Physics 151: General Kinematics1) A particle moves along the x axis from x1 to x2. Of the following values of the initial and final co-ordinates, which results in a displacement that is in the negative direction? A) x1 = 4 m , x2 = 6 m B) x1 = -4 m
UMBC - P - 151
Answers to Text Problems Chapter 1 Kinematics Page I 13, 14 1. 2. 3. 4. 5. 7. 11. 12. 13. 19 25. 27. 31. 10 km east 43.8 km at 77 N of E 41.4 km/h or 11.5 m/s 7.1 km/h west or 1.98 m/s west 3.6 km/h at 70 N of W 5.1 m/s at 33.5 E of N 4.1 km at 13 N
George Mason - PHYSICS - 261
The Eects of Mass, Length, and Amplitude on the Period of a Simple PendulumPhil Rubin September 26, 2004Abstract The eects of bob mass, length, and amplitude on the period of a simple pendulum are investigated. Mass is found to have no eect on the
UMBC - CPATEL - 640
Advanced VLSI DesignCombinational Logic DesignCMPE 640Ratioed Logic One method to reduce the circuit complexity of static CMOS. Here, the logic function is built in the PDN and used in combination with a simple load device. Resistive load In1 I
UMBC - CPATEL - 640
Advanced VLSI DesignCombinational Logic DesignCMPE 640Pass Gate Logic An alternative to implementing complex logic is to realize it using a logic network of pass transistors (switches). Regeneration is performed via a buffer.Switch NetworkW
UMBC - CPATEL - 640
Advanced VLSI DesignSequential Logic DesignCMPE 640Concepts In sequential logic, the outputs depend not only on the inputs, but also on the preceding input values. it has memory. Memory can be implemented in 2 ways: Positive feedback or regener
UMBC - CPATEL - 640
Advanced VLSI DesignSequential Logic DesignCMPE 640Smaller Static Flip-Flops Positive feedback is not the only means to implement a memory function. A capacitor can act as a memory element as well. In this case, a periodic refresh is required (
UMBC - CPATEL - 640
Spring 2009: CMPE 640 Project Specification Project Specification: Cache Design(Please refer to the webpage for any changes to this specification over the next couple of weeks). Assigned: Apr 10th Due: Last Day of ClassDescription:Design a virtua
UMBC - CPATEL - 641
CMPE 641: Reading AssignmentRead the following papers. The papers are located in the class_locker under std_cells/papers 1. K. Scott and K. Keutzer, &quot;Improving Cell Libraries for Synthesis&quot; 2. N. Minh Duc and T. Sakurai, &quot;Compact yet High-Performanc
UMBC - CPATEL - 315
Principles of VLSI DesignInterconnect and Wire EngineeringCMPE 413Interconnect Analysis of interconnect is becoming as important as transistors in modern processes. Modern processes use 6-10 metal layers Layer T (nm) W (nm) S (nm) AR Layer stac
UMBC - CPATEL - 315
CMPE 315 Lab LAB Assignment #5 for CMPE 315Assigned: Friday, Mar 13th Due: Monday, Mar 30thDescription: Import VHDL code from Lab1, perform layout and run LVS. Import the vhdl code that you wrote for the 4-bit ALU circuit in Lab 1 to generate
UMBC - CPATEL - 315
Spring 2009: CMPE 315 Project Specification Project Specification: Cache Design(Please refer to the webpage for any changes to this specification over the next couple of weeks). Assigned: Apr 3rd Due: May 8th (Last lab session) Code Submission: In t
UMBC - CPATEL - 313
STUDENT NAME:-In-class lab #2CMSC313 Fall 2003 In Class Lab #2 Introducing the JK Flip-FlopObjectives Review the operation of a JK flip-flop circuit. Implement a clocked JK flip-flop using 74 series gates. Verify the truth table using this circu
UMBC - CPATEL - 313
CMSC 313, Computer Organization &amp; Assembly Language ProgrammingFall 2003Course DescriptionInstructor: Office: Office Hours: Telephone: Email: Chintan Patel ITE 322 Mon &amp; Wed 10:00am11:30am 455-3963 cpatel2@csee.umbc.eduThe TAs office hours wil
UMBC - CPATEL - 313
A-3Appendix A - Digital LogicThe Basic Properties of Boolean AlgebraPrinciple of duality: The dual of a Boolean function is gotten by replacing AND with OR and OR with AND, constant 1s by 0s, and 0s by 1sPostulatesTheoremsA, B, etc. are L
UMBC - CPATEL - 313
B-3Appendix B - Reduction of Digital LogicReduction (Simplification) of Boolean ExpressionsPrinciples of Computer Architecture by M. Murdocca and V. Heuring 1999 M. Murdoc c a and V. He uringB-4Appendix B - Reduction of Digital LogicRed
UMBC - CPATEL - 313
3-5Chapter 3 - ArithmeticConstructing Larger Adders A 16-bit adder can be made up of a cascade of four 4-bit ripplecarry adders. Circuit gets slower as it gets bigger.Principles of Computer Architecture by M. Murdocca and V. Heuring 1999
UMBC - CPATEL - 313
A-3Appendix A - Digital LogicClassical Model of a Finite State Machine An FSM is composed of a combinational logic unit and delay elements (called flip-flops) in a feedback path, which maintains state information. This particular FSM is based on
UMBC - CPATEL - 313
y G y 8I fyyy Ip ~d48f Vydh$yy~y)Yy~yVy4 4Td4y)d9om VidyV4y~yQ ydT| S4 4yV h I9 ECu hSx xk 98igh 8vr ICqvy 8f T9pEu x99E|u99iS99'Y4vIpv j g k le y kfzfw hw e kgw vj f
UMBC - CPATEL - 313
t 9(7V17dy}(dtl q Y c7j9ms i v Al7VjVVR7&quot;i9j V9i x g u H7 x g u fV17 1 V97i y e h e y i 7 i yh l g yih e yh y 97g $q Vj9 i(FV7TFAi qFg F9171}R V RFVi( afkj7 V (9i$F9 i(7QRie RR a x g u H7R x g u v9f x g
UMBC - CPATEL - 313
CMSC 313, Computer Organization &amp; Assembly Language ProgrammingFall 2003Project 4: C FunctionsDue: Tue 10/14/03, Section 0101 (Chang) &amp; Section 0301 (Macneil) Wed 10/15/03, Section 0201 (Patel &amp; Bourner) Objective The objective of this programmi
Yale - CS - 112
Java Software SolutionsLewis and Loftuspresentation slides forJava Software SolutionsFoundations of Program Designby John Lewis and William LoftusPublished by Addison-WesleyJava Software SolutionsLewis and LoftusFocus of the course P
Yale - CS - 112
Java Software SolutionsLewis and LoftusSoftware Concepts - Introduction Now we can begin to examine the basic ideas behind writing programs Chapter 2 focuses on: the structure of a Java application basic program elements preparing and ex
Yale - CS - 112
Java Software SolutionsLewis and LoftusProgram Elements - Introduction We can now examine the core elements of programming Chapter 3 focuses on: data types variable declaration and use operators and expressions decisions and loops input a
Yale - CS - 112
Java Software SolutionsLewis and LoftusInheritance - Introduction Another fundamental object-oriented technique is called inheritance, which, when used correctly, supports reuse and enhances software designs Chapter 8 focuses on: the conc
Yale - CS - 112
Java Software SolutionsLewis and LoftusThe Software Development Process-In The quality of the software we create is a d the process we follow to develop it Chapter 11 focuses on: software life cycle development models prototypes robot
Yale - CS - 112
Java Software SolutionsLewis and LoftusRecursion-Introduction Recursion is a fundamental programming techn can provide an elegant solution certain kind Chapter 12 focuses on: thinking in a recursive manner programming in a recursive ma
Yale - CS - 112
Java Software SolutionsLewis and LoftusSorting and Searching-Introduction Two common programming tasks are sorting a l items and searching for an item in a list Chapter 13 focuses on: Selection Sort Insertion Sort A generic sort for
Yale - CS - 112
Java Software SolutionsLewis and LoftusSoftware Development Process II-Int We now extend the process established in Cha include more object-oriented issues Chapter 15 focuses on: evolutionary development object-oriented design and imple
Yale - CS - 112
Java Software SolutionsLewis and LoftusData Structures-Introduction Lets explore some advanced techniques for o and managing information Chapter 16 focuses on: dynamic structures Abstract Data Types (ADTs) linked lists queues stacks
Clemson - UNIT - 108
Stanford - CS - 156
CS156: The Calculus of ComputationZohar Manna Winter 2008Chapter 11: ArraysPage 1 of 55Arrays I: Quantier-free Fragment of TASignature: A : {[], , =} wherea[i] binary function read array a at index i (read(a,i) a i v ternary function
Milwaukee School of Engineering - CE - 1910
MSOE EECS Department: Dr. Durant CE1910: Wk. 5 Lab Grading ChecklistName: _ Item Completed Score Checking Progress 7-seg decoder VHDL, documented 7-seg simulation, including your name in footer (File|Page Setup), with illustration showing that all c
Laurentian - DAY - 3601
Integrating Art and Social Studies Billie Hogan Student PresentationWhat is integration? &quot;The arts are taught integratively with other courses when hey are used to convey the learning objectives; however, they are not reduced to mere means for teac
NMT - EE - 308
DOCUMENT NUMBER S12SPIV3/DSPI Block Guide V03.06Original Release Date: 21 JAN 2000 Revised: 04 FEB 2003Motorola, Inc.Motorola reserves the right to make changes without further notice to any products herein. Motorola makes no warranty, repres
UCSD - VLSICAD - 110
Can Recursive Bisection Alone Produce Routable Placements?Andrew E. Caldwell, Andrew B. Kahng and Igor L. Markov UCLA Computer Science Dept., Los Angeles, CA 90095-1596 fcaldwell,abk,imarkovg@cs.ucla.eduAbstract This work focuses on congestion-d
New Mexico - CS - 534
SAN FRANCISCO JULY 22-26Volume 19, Number 3, 1985An I m a g e S y n t h e s i z e rKen PerlinCourant Institute of Mathematical Sciences New York UniversityAbstractWe introduce the concept of a Pixel Stream Editor. This forms the basis for a
New Mexico - CS - 530
The 2D Fourier Transform The analysis and synthesis formulas for the 2D continuous Fourier transform are as follows: Analysis F(u, v) = Synthesis f (x, y) =Z Z Zf (x, y)e j2(ux+vy)dx dy ZF(u, v)e j2(ux+vy)du dvSeparability of 2
Clemson - BUSINESS - 072408
Skip to page navigation|Skip navigation|Acrobat Reader|Flash Player|Text Version A-Z Index Calendar Map Webcams Phonebook Search: http:/www.clemson.edu/Page Not Found!Requesting page: /404Error.phpThe Web page you have requested is not cur
Clemson - BUSINESS - 0708
Skip to page navigation|Skip navigation|Acrobat Reader|Flash Player|Text Version A-Z Index Calendar Map Webcams Phonebook Search: http:/www.clemson.edu/Page Not Found!Requesting page: /404Error.phpThe Web page you have requested is not cur
Clemson - BUSINESS - 0708
Skip to page navigation|Skip navigation|Acrobat Reader|Flash Player|Text Version A-Z Index Calendar Map Webcams Phonebook Search: http:/www.clemson.edu/Page Not Found!Requesting page: /404Error.phpThe Web page you have requested is not cur
Clemson - THRD - 310
Skip to page navigation|Skip navigation|Acrobat Reader|Flash Player|Text Version A-Z Index Calendar Map Webcams Phonebook Search: http:/www.clemson.edu/Page Not Found!Requesting page: /404Error.phpThe Web page you have requested is not cur
Clemson - THRD - 310
Skip to page navigation|Skip navigation|Acrobat Reader|Flash Player|Text Version A-Z Index Calendar Map Webcams Phonebook Search: http:/www.clemson.edu/Page Not Found!Requesting page: /404Error.phpThe Web page you have requested is not cur
Clemson - ECE - 327
2608 Sweetgum Drive Apex NC 27502 Toll-free: 800-549-9377 International: 919-387-0076 FAX: 919-387-1302XSTOOLs V4.0 User ManualGUI-Based and Command Line-Based XS Board UtilitiesRELEASE DATE: 10/29/2001Copyright 1997-2001 by X Engineering Soft
Loyola Chicago - C - 101
CHEM 101 1.HOUR EXAM IV17-NOV-95Write your answer to each of the following comparisons or calculations: A. smaller atom at.no. 13 at.no. 14OB. formal charge of sulfur in the compound:CH3 OS OOHC. D.more electronegative larger anion
Loyola Chicago - C - 101
CHEM 101FINAL EXAM8-DEC-95DIRECTIONS: This exam consists of 18 problems and two blue books. Print your name both covers, and show work for problems 1 -10 in blue book # 1, on the corresponding blue book pages. show work for problems 11 -18 in b
Loyola Chicago - C - 101
CHEM 101 1.HOUR EXAM 3October 29, 1996A mixture of gases is prepared by adding fluorine to neon until 3/8 of the total mass is due to fluorine. At this point the pressure of the mixture is 0.8291 atm. What is the partial pressure of the neon?
Loyola Chicago - C - 101
CHEM 101 1.HOUR EXAM 4November 19, 1996Construct Lewis dot diagrams for each of the following: a. NCl3 b. XeO42-2.Lewis dot diagrams for oxy-acids can be represented in two ways, (A) with, and (B) without, oxygen double bonded to the centra
Loyola Chicago - C - 101
CHEM 101FINAL EXAM6-DEC-96This exam consists of eighteen (18) problems on three (3) pages, plus two bluebooks. Work problems 1 through 10 in the first blue book, and 11 through 18 in the second. 1. The solubility of potassium bromide, KBr, is 5