“Complete Data Structures Notes for Beginners”, Study notes of Data Structures and Algorithms

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INDEX TINE OF THE TOPIC DataStructuve Intxoducthon Classiticatwon of DotaStructuse Intvoduchon to agoni thn Asymptutié Analysis DS - pointer Ds - Structure Ds- Awa DS - Linked Het DS- SkipList DS- stack DS - Queue DS- Txee Vy pe of [Tree DS Grxaph SNO| TITLE OF THE TOPIC 15 Grsoph TFrovansal Algoxtthen I Seouching 7 Searching Algesthirn 58 18 Soxtung Aigesttter 6b 19 Trvplement ation of Soxting 61 ap DS Coding Question. 20 al DS Intexview Queston 8b. ALgoRITHMS Ano Aecraact Data Tyees | Atpextiion | L. \ a Abomract pox | | ye To auc the data un memo. ‘n' rumba of argoxitina UL proposed , und au thue ago xt thins | axe Known Abstract Dota Types Abatxocet Dako. Typ tus what us £0 be Aone ‘pata Shurctuse tells hou ws £0 be done ADT gfves us 0 blue paint wtule | Dato Spurcehwee provi oles Torptementoctvon pook wnat. ts Data? ; : Data ts dopireed oA imi value | coltactsan of vale Example: - Students name and Sidente $2" . ' * what fs a Record ? . Revoxd us depaied As callectuon of varuous dota items Exounpue : Student noune, entity + adduss , cowtse and marks a) be pours 00) ‘i to form Record whot fsa File ? Filo ts ce oollactdn of vous secoHds of Ore dupe of wail Example: Ty Uh ont GO empkoyats, in a clas Anon thyw will be 20 sxecprds suloted fe whew send eontouns 4p? of empleo ytrs what ts attribute and Entity ? CToppex World Entrty sprasures cass ef aertotin object © yours cathubcts | : - enthy vont oun “awh” ostribscte eprasenits pepe of mriaty What ds dhe ned of dato Shur cturse As appltvants ant geung complexed an of data fs dNeXL OLNG day by dou ol amount 0, 0, : Eipicfeney - Data Sputotune us H SRO Woy of storing data on owt system Jk Pups Us proonrs alata eauady Reusable - Dater Sburers Out seusobe fe one we have mpharnrded parc oar data srutem7re , we con use it ot cur place. Absbachion - dt atlas dass LO WOK aoith dat a Spurctws aeithaut havang ho ueeene dutotls, which simpuhy progr “rou ming DaaraSrevetyre C Lasst FICATION | * ©oppertdodi 7 wat Data STRUCTURE ‘ & | a Non permsrrve PRIMITIVE PATA STRUCTURE DATA STRUCTURE an, LIN EAR NON LINEAR r 1 { . I grate DYNAMTe = TREE. GRAPH | || ARRAY = LENKED LrsT STACK Queve [ (Creearronie on Darn Graver vee: Trav sxsing — we tan aces an stement of dot ShUL Ue at eeort one Seamehing- we an woh gaan 40% dota Uemunt un dato sourcne Soxtung - we con sort elements ox drsun lang 8x0UN a new cote ale mus fn Faswctton — we con Inset Kate. sueuye in we con oleate dato. eemends StruLuuh pom data Updacteon _ we cn update ox weplace ox lodeng ements poo date smuUranee LG ORITHM what fs an nigaxtthmn? oat of commands thot must An akqoxttim fs ao Ap pogo cal culation be pound yox o com parte Trput soto] auto of Outpt obtatn output fom quer {input ALGORITHM Awacyers Aigontinm vane upvalv4 ss olung he apieaney and papoxim ane. of al aoxtthimis un dvurr of Abu Ae corn pac xty and spar corriplexaty “4 ancyseng agente we can douumine how khuy ecale svsth hpeng us choose the most suiit able otgoxd thm 4x Oa specif pxoblum. input sige and AUOUICl , Asyeaprorre Aneuyste: Te sine requiad by on akgoxtthm oomres Wowk cors- 1k cpus ane Input por whch Ang atpoxt thm taki o huge nme - Avexage cose- It tOku ovaxage fume for Ahn progxam px eeuctuon Best wask- Tt dru the unput 40x sahich cthe orgoxtehm taku dhe tuuut tine Asymprotre NOTATIONS: used (~ ealeutowing Huntime ; comme an atgoxurtim codon (0 °% Tau MeO, WUA th pep orivnounnee ob i prow ding Are OKA Of 0 8 on positeve intege then fin) = 090N) as fen) 3 qm a oxsists $ bg oh of q(” OX nf on OK ae Of corobents cand no auch that fem se -g6m ex oll nN xNo @ Omega Nuetatin (-2): & ds baateatly duviibes beat “are seunouwn utuch ds opposite de “4 ‘ad xm 9 notatibn Tt us ume POrNTER. Pointer ts used ho pont Ane ac bess stored cunpuofwee tn athe compuctxs memory of the value Prtex artth metic Four antthmatre operators can be used an paunteua: ++, ——" Ho Awroy of pouictens i porntou you coun depine AN oy of natal numb of point £0 pauictex : , ado have pon on a poste c wed and so on. a—{ le + valu ©) Topperwork 9000 > adolrus b—>| | 3000 b-fa > i j Ts ports a] Ca Liam ‘ Pornter PROKRAM dtfndude (Nadobuss 9} ae fedtn", 6)? . t b = yeuln’s db); prung ( address Of “ print ( “youl of b = address of & =u; 6)} sur win 07 . y OurpvT Vow Of a= 5 value of &= 5 value Of a= 90109 4242 od abies of O=—/28ty #9004 adcbiuss of b= soins valine of b= adduss of A= 201049 4>4o PROGRAM : POINTER lo PoENTER + fnclude ¥ paint, (avg) ? 5 COMPLEXITY OF ARRAY OPERATION Q Trme Comp! exfey Algoxitim | Avetage case | nxt case v ' Access ol) tt) —feerel tp) on) insertion 0 (0) o(0) Deletion o(n) : Pf) "[@rTeppecwWor'e a) space comple tty Te aca apace compat Memory ALLOCATION’ OF ARRAY gach dervent an array sapsaaseted by Trdving of wray can be dapuind in dhveek ways t. OC zx0 Based Andearng) Tre pout werent of cworay woell be worl I) 4g. tC one- based Pndexing ) The prt eurunt of away qo be antl 3. ntn— based fn dx fing) , oy The pout auvunt of aotou can vtestole cat random index Ait pox ‘worat care #e 0D), Indexing — ——— 4 on) open C0] aut C17 | aot (a7 | avr 3) Base address at THI | Figure = %nt wot C5) Accesernar ELEMENTS OF Array To access ny vandom ekment of ao ooray | we nud do pono Papoxmadaon 1. Base adduus of dnt orion 4. sige of an element an bytes 3. ushtch type of indextng over ay foLLOUs . Addivess of any vement ip wwiay can be colcutattecl yoy Seed devent ALY ~ base nobus + 91ge' * Byte odds 3 of C Fuk -indlex) Example: ; ; oe tn an OMHOUy + AL ~ tara) Bowe adduss (BA) = 999? fze of an element = a bytes vfnd: locatiniy of al-!T ecard)