...Good morning everyone. Today I’m here to present to you about some chief points which have a great influence on high school student’s success. First and foremost , if you absolutely want to be getting excellent at any subjects you really like, you should have your own passion. Basic knowledge, of course, has also played an irrefutably important role during your school life. Because we’re only able to learn advanced-level if we understand it totally. It can not be denied that deligence is one of the most essential ways to make your success. Moreover, a student who wishes to be good at studies should be delight, studious and hard-working. More notably, you shouldn’t miss learning lessons daily . Another factor which is often dismissed as unimportant would be parental support. In modern life, some families don’t request their children to be the best or to be good at school and they give them love, encouragement . By doing so, students will be further driven to achieve success as there are people who support them at any times. If a family put all their faith in their children, however, they can’t completely do their best just because they feel they’re put under pressure . Now we’ll move on to the next one. Last but not least, academic environment at school also decide the success of students. If you make friends with bad manners, you’ll never be encouraged to become better,while progressive friends will always be able to facilitate improvement of your results...
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...Name:_Xing Li _____________ FINAL EXAM PRINCPLES of MARKITING Winter 2012 1. A lifestyle center is a? D A) pedestrian center B) psychographic centric segment C) family centric segment D) shopping center E) upscale center segment 2. Industries often have an established company that is a price leader. When competitors “meet” the leader’s price, the competitor is pursuing a ______?_____ strategy? B A) price war B) pull C) maximization D) status quo E) elasticity 3. All of the following statements about branding are true except? C A) Branding facilitates buying. B) Branding may provide psychological benefits for the buyer. C) Branding differentiates a firm's products from competitors. D) Branding helps focus and facilitate marketing efforts. E) Branding guarantees that the consumer will be satisfied with the product's quality. 4. The goal of follow-up of sales by a salesperson is to build customer? E A) knowledge B) competence C) differentiation D) technical expertise E) loyalty 5. According to the traditional demand curve, a low price will result in: D A) a reduction in the quantity demanded. B) a reduction in the quantity produced. C) an increase derived demand. D) an increase in the quantity...
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...What is PHI or PII? Excerpted from the UF Privacy Office’s General Awareness Training: |Personal Identification Information = Any name or number that may be used, alone or in conjunction with any other information, to | |identify a specific individual. | |“Any person who willfully and without authorization fraudulently uses … personal identification information without first obtaining| |that individual's consent, commits… a felony.” | |Personal Information = an individual's name, in combination with any of the following unencrypted data elements: Social security | |number; Driver's license or Florida ID Card numbers; account, credit card, or debit card numbers, in combination with any code or | |password that would permit access to an individual's financial account. | |“Any person who conducts business in this state and maintains computerized data in a system that includes personal information | |shall provide notice of any breach of the security of the system to any resident of this state whose unencrypted personal | |information was, or is reasonably believed to have been, acquired by an unauthorized person.” | | ...
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...Bottled water-Do more harm than good? When you buy single-serve bottles of water, your money is actually purchasing water regulated less than tap, plus advertising. For that, you’ll pay more than three times for H2O what you pay for gasoline—$12 per gallon. Single-serving bottled water costs up to 4,000 times as much as tap. It’s not only the cost, of course, that’s the problem. Cities must filter and disinfect tap, which comes from surface water. No federal filtration or disinfection requirements exist for bottled water. City water systems must issue “right to know” reports about what’s in the water. Bottlers successfully killed this requirement for bottled water. Up to 70% of bottled water is unregulated by the Food & Drug Administration, because it never crosses state lines for sale, according to the Natural Resources Defense Council. So there may be a health cost, too. Tap water is a local product that needs no packaging. Globally, bottled water accounts for as many as 1.5 million tons of plastic waste annually, according to the Sierra Club. Making the plastic in the bottles requires 47 million gallons of oil annually. And that doesn’t include the jet fuel and gasoline required to transport the bottles—sometimes halfway around the world. In addition, billions of bottles end up in the ground every year. Sadly, only 20% ever get recycled, according to the Container Recycling Institute. The other 80%? Besides landfills, many...
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...Agricultural & Applied Economics Association Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States Author(s): V. Eldon Ball, Charles Hallahan, Richard Nehring Source: American Journal of Agricultural Economics, Vol. 86, No. 5, Proceedings Issue (Dec., 2004), pp. 1315-1321 Published by: Oxford University Press on behalf of the Agricultural & Applied Economics Association Stable URL: http://www.jstor.org/stable/3697947 . Accessed: 26/09/2011 07:55 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. Agricultural & Applied Economics Association and Oxford University Press are collaborating with JSTOR to digitize, preserve and extend access to American Journal of Agricultural Economics. http://www.jstor.org CONVERGENCE PRODUC11VITY: ANALYSIS OF AN OFTHECATCH HYPOTHESIS UP WITHIN A PANEL STATES OF V. ELDON BALL,CHARLES HALLAHAN, RICHARD AND NEHRING A consensus appears to have emerged in the literature that per capita income levels and/or levels of productivity in the industrialized market...
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...4. insert sort #include<stdio.h> #include<string.h> void insert(); main(){ char s[70]; printf("enter a string :"); gets(s); insert(strlen(s),s); printf("tre string after sorted : %s\n ",s); } void insert(int count,char *item){ char temp; int a,b; for (a=1;a<count;++a){ temp=item[a]; b=a-1; while(b>=0 && temp<item[b]){ item[b+1]=item[b]; b--; } item[b+1]=temp; } } ****************************************************************************** 5. bubble sort #include <stdio.h> #include<string.h> void bubble(); main(){ char s[70]; printf("enter a string :"); gets(s); bubble(strlen(s),s); printf("the string after sorted : %s\n",s); } void bubble(int num,char *str){ char temp; int a,b; for (a=1;a<num;++a) for(b=num-1;b>=a;--b){ if (str[b-1]>str[b]){ temp=str[b-1]; str[b-1]=str[b]; str[b]=temp; } } } ****************************************************************************** 6. select sort #include<stdio.h> #include<string.h> void select(); main(){ char s[70]; printf("enter a string :"); gets(s); select(strlen(s),s); printf("tre string after sorted : %s\n ",s); } void select(int count,char *item){ char temp; int a,b,c; for (a=0;a<=count-1;++a){ c=a; temp=item[a]; for (b=a+1;b<count;++b){ if (item[b]<temp){ c=b; temp=item[b]; } } item[c]=item[a]; item[a]=temp; }...
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...Aaaaaaaaa aaaaaaaaaaaa aaaaaaa aaaaaaaaa aaaaaaa aaaaaaaa aaaaaaa aaaaaaa aaaaa aaaaaa a aaaaa aaaaa aaaa aaaaaaaa aaaaaaaaaaaaaaaa aaaa aaaaaaa aaaaaaaaaaa aaaa aaaaaaaaaaa aaaaaaaaaa aaaaaaaaa a aaaa aaaa aaaaaa aaaa a aaaaaa aaaaa aaaaaa aaaaa aaaaaaaaa aaa a aa aaaaaaaa aaaa aa aaaaaaaaa aaaaaaa aaaaaaa aaaaaaa aaaaa aaaaa aaaaaaaaaaaaa aaaaaaaaaaaa aaaaaaaaaa aaa aaaaaaa aaa aaaa aaaaa aaaaaaa aaaaa aaaaaaa aaaa aaaaaa aaa aaaaaa aaaaaaaaa aaa aaaaaa aaaaaa aaaaa aaaaaaaaa aaaaaa aaaa aaaaa aaaaaaaaaaa aaaaaaaaaaa aaaaaaaaa aaaaaaaaaa aaaaaaaaaaa aaaaaaaaa aaaaaaaaaa aaaaaaaaaa aaaaaaaaaaaa aaaa aaaaaa aaaaaaaaaa aaaaaaaa aaa aa aaaaaa aaaaaa aaaaaaaaaa aaaa aaa a a aaaa a aaaaaaa aaaaaaa aaaaaaaaa aaaaaaa aaaaaa aaaa aaaaaa aaaaaa aaaa aaaaaaaaaaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaaaaa aaaaaaaaaaaa Aaaaaaaa aaa aaa aaaaaaaa aaaaaaaa aaaaaaaaa aaaaaaaaa aaa aaa aaaaaaaaaaa aaaaaaaaaaaaaaa aaaaaaaaaaaaaa aaaaaaaaa aaaaaaaaa aaaaaaaaa aaa aa a aaaaa aaaaaaaaaa aaaaaaaa aaa aaaaaaa aaaaaa aaaaaaaa aaaaaaaaa aaaaaaaa Aaaaaaaaa aaaaaaaaaaaa aaaaaaa aaaaaaaaa aaaaaaa aaaaaaaa aaaaaaa aaaaaaa aaaaa aaaaaa a aaaaa aaaaa aaaa aaaaaaaa aaaaaaaaaaaaaaaa aaaa aaaaaaa aaaaaaaaaaa aaaa aaaaaaaaaaa aaaaaaaaaa aaaaaaaaa a aaaa aaaa aaaaaa aaaa a aaaaaa aaaaa aaaaaa aaaaa aaaaaaaaa aaa a aa aaaaaaaa aaaa aa aaaaaaaaa aaaaaaa aaaaaaa aaaaaaa aaaaa aaaaa aaaaaaaaaaaaa aaaaaaaaaaaa aaaaaaaaaa aaa aaaaaaa aaa aaaa aaaaa aaaaaaa aaaaa aaaaaaa aaaa aaaaaa aaa aaaaaa aaaaaaaaa aaa aaaaaa aaaaaa...
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...Append@nums, n -> nmolsD 8V1 Ø 10, T1 Ø 298, P1 Ø 10, P2 Ø 1, R Ø 8.3144, Rla Ø 0.082057, n Ø 4.08948< Finally, this constant will convert liter-atm energy units to Joule energy units. All results are given in Joules: laToJ = 101.325 ; ü 1. Reversible, Isothermal Process In an isothermal process for an ideal gas, DU = 0 ; DH = 0 ; thus heat and work are equal and given by: P2 q = w = n R T1 LogA ÅÅÅÅÅÅÅ E J ê. subs P1 -23330.9 J 16 Notes on Gaskell Text ü 2. Reversible Adiabatic Expansion In an adiabatic expansion q = 0; and P V g is a constant. Thus the final state has 1êg g P2 V2 i P1 V1 y Å ; T2 = ÅÅÅÅÅÅÅÅÅÅÅÅÅ ê. g -> 5 ê 3 Å V2 = j ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ z j z n Rla k P2 { P1 V 1 P2 I ÅÅÅÅÅÅÅÅÅÅÅÅÅ M P ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ2 ÅÅÅÅÅÅÅÅÅ ÅÅÅÅÅÅÅÅ Å n Rla 5ê3 3ê5 For an ideal gas cv = 3R/2; thus 3 DU = ÅÅÅÅ n R HT2 - T1 L ê. subs 2 -9147.99 or we can use 3 DU = ÅÅÅÅ HP2 V2 - P1 V1 L laToJ ê. Append@subs, g -> 5 ê 3D 2 -9148.02 For some numeric results, the final temperature and volumes were ad2 = N@8V2 , T2 < ê. Append@subs, g -> 5 ê 3DD 839.8107, 118.636< The work done is dw = -DU 9148.02 For an ideal gas c p = 5R/2; thus the enthalpy change is 5 DH = ÅÅÅÅ HP2 V2 - P1 V1 L laToJ ê. Append@subs, g -> 5 ê 3D 2 -15246.7 or Notes on Gaskell Text 17 5 DH = ÅÅÅÅ n R HT2 - T1 L ê. subs 2 -15246.7 For numerical results in the subsequent...
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...aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa aaaaaaa aaaaaaaaaa aaaaaaaa aaaa aaaaaaa...
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...Aaaaaaaaaaaaaaaaa aaaaaaaaaaaaaa aaaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaaaaaa a aaaaaaaa aaaa aaaaaaaaaaaaaaaaaaaaaaaa aaa aaa aaaaaa aaaaaa aaaaaa aaaaaa aaa a aaaaaa aaaaaaa aaaaaaaaaaaaa aaaaaa aaaaa aaaaaaaaaaaaaaaaaaaaaaa dvdv m m m m m m m m m m mm m m m m m mm m m m m m m m m m m m m m m m m m m m x x kxk xk k xk k kx k xk k xk xk k k k k k kx kx k k k kk k k k k k kk k k k k kkkkkk l l l lll l l l l l l l l ll l l l l l l l l l l l l l l l x x, x, x, x, x, , x, , , , , m m m m m m m m c c c c c c c c c c c c c c c c c c c c c c Dvd Aaaaaaaaaaaaaaaaa aaaaaaaaaaaaaa aaaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaa aaaaaaaaaaaaaaaaaaaa a aaaaaaaa aaaa aaaaaaaaaaaaaaaaaaaaaaaa aaa aaa aaaaaa aaaaaa aaaaaa aaaaaa aaa a aaaaaa aaaaaaa aaaaaaaaaaaaa aaaaaa aaaaa aaaaaaaaaaaaaaaaaaaaaaa dvdv m m m m m m m m m m mm m m m m m mm m m m m m m m m m m m m m m m m m m m x x kxk xk k xk k kx k xk k xk xk k k k k k kx kx k k k kk k k k k k kk k k k k kkkkkk l l l lll l l l l l l l l ll l l l l l l l l l l l l l l l x x, x, x, x, x, , x, , , , , m m m m m m m m c c c c c c c c c c c c c c c c c c c c c c Vdv vd dv dv dv dv dv v vd dv dv v c lc lc lc l l l l l l l l l l l l , , , , , ,...
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...1. INTRODUCTION 1.1 Overview A mobile ad hoc network or MANET is a kind of wireless ad hoc network, which is the infrastructure wireless networks where each user directly communicates without an access point or base station. It is a self-configuring network of mobile routers connected by wireless links with no access point. Nature of mobile device in a network is autonomous. Due to these mobile devices are free to move. In other words, the mobile ad hoc network is infrastructure less wireless network. The Communication in MANET is take place by using multi-hop paths. Nodes in the MANET share the wireless medium and the network topology changes dynamically. In MANET, breaking of communication link is very frequent because the nodes are free to move to anywhere. The density of nodes and the number of nodes are depends on the applications in which we are using MANET. Fig-1 Ad-Hoc Network In figure a simple ad-hoc network shown with 3 nodes. Node1 and node 3 are not within range of each other; however the node 2 can be used to forward packets between node 1and nodes 2. The node 2 will act as a router and these three nodes together form an ad-hoc network. 1.2 MANET Characteristics Distributed operation: The control of the network is distributed among the nodes; there is no central background for the control of operations. The nodes should cooperate with each other and communicate among themselves...
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...Dubai World Central 8-12 November 2015 AIRBUS 10 40 5 P9 P12 25 21 30 30 P15 10 21 12 TAWAZUN 120 12 P11 DASSAULT 10 BAE SYSTEMS 1000 25 10 P4 EMPIRE AVIATION 100 P14 20 5 10 300 105 10 10 5 10 40 P6 ATT 20 ADCOM 5 100 26 4 26 AAAAAAAAAA 72717069686766656463 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 AAAAAAAAAAA 6261605958575655545352 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 AA AAAAAAAA AAA 51504948474645444342 414039 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 21 11.5 P10 30 AAAAAAA A AAAAA P8 3837363534333231 TAWAZUN 3029282726 20 15 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 300 124.26 124.26 124.26 124.26 124.26 AAAAA 2524232221 124.26 124.26 124.26 124.26 124.26 22 25 P5 14 6 224 DWC 14 23 8 P3 MUBADALA 500 AAAA AAAAAAAAA 20191817 16151413121110 9 8 P2 20 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 124.26 16.5 22 8 P1 F&E 14 6 224 14 AAAAAAA 7 6 5 4 3 2 1 124.26 124.26 124.26 124.26 124.26 124.26 124.26 B B B B B B B B B 18 17 16 15 14 13 12 11 10 77 77 77 77 77 77 77 77 77 B B B B B B B B B 9 8 7 6 5 4 3 2 1 77 77 77 77 77 77 77 77 77 189.75 AIRBUS 678 630 30 8 8 A ROYAL HALL 21 A P7 14 322 23 ...
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...(c) 2007 by TATA Interactive Systems GmbH - D-72070 Tübingen MANAGEMENT GAME T O P S I M - General Management II BIG BANG CO Summer-2012 TOPSIM Period: 1 Date: 9. 7.2012 No. 1a: EXECUTIVE SUMMARY 1. Sales The number of units sold of Product 1 in Market 1 was 34910. This corresponds to a market share of 15.91%. The average price per unit was 2960 EUR. The industry spent 33.00 million EUR on advertising. 2. Process Product 1: The production quantity was 36000 units. The CGM are at 2192 EUR/unit. It was not necessary to pay a surcharge in order to purchase an express shipment of raw materials. Utilization of production personnel was at 93.1%. Utilization of production line capacity was at 90.2%. (c) 2007 by TATA Interactive Systems GmbH - D-72070 Tübingen MANAGEMENT GAME T O P S I M - General Management II BIG BANG CO Summer-2012 TOPSIM Period: 1 Date: 9. 7.2012 No. 1b: EXECUTIVE SUMMARY 3. Result Your net income/loss is -1.67 million EUR. Your return on sales is -0.1%. The average ROS in the industry is -3.4%. Your EVA amounts to -4.8 million EUR. 4. Finance The total of your loans is 11.95 million EUR including 11.95 million EUR in overdraft loans. Your net investment income is -1.55 million EUR. Your share price is 74.1. 5. Hints and Remarks None ÉÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ» º (c) 2007 by TATA Interactive Systems GmbH - D-72070 Tuebingen TOPSIM º º º º MANAGEMENT GAME BIG BANG CO Period: 1 º...
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...Hashing hash functions collision resolution applications References: Algorithms in Java, Chapter 14 http://www.cs.princeton.edu/introalgsds/42hash 1 Summary of symbol-table implementations implementation unordered array ordered array unordered list ordered list BST randomized BST red-black tree guarantee search N lg N N N N 7 lg N 3 lg N insert N N N N N 7 lg N 3 lg N delete N N N N N 7 lg N 3 lg N search N/2 lg N N/2 N/2 1.39 lg N 1.39 lg N lg N average case insert N/2 N/2 N N/2 1.39 lg N 1.39 lg N lg N delete N/2 N/2 N/2 N/2 ? 1.39 lg N lg N ordered iteration? no yes no yes yes yes yes Can we do better? 2 Optimize Judiciously More computing sins are committed in the name of efficiency (without necessarily achieving it) than for any other single reason including blind stupidity. - William A. Wulf We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. - Donald E. Knuth We follow two rules in the matter of optimization: Rule 1: Don't do it. Rule 2 (for experts only). Don't do it yet - that is, not until you have a perfectly clear and unoptimized solution. - M. A. Jackson Reference: Effective Java by Joshua Bloch. 3 Hashing: basic plan Save items in a key-indexed table (index is a function of the key). Hash function. Method for computing table index from key. hash(“it”) = 3 ?? hash(“times”) = 3 0 1 2 3 4 5 “it” Issues. 1. Computing the hash function 2. Collision resolution:...
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