Data Structure and Algorithms CO2003 Chapter 5 Stack and Queue

BÀI GIẢNG CẤU TRÚC DỮ LIỆU VÀ GIẢI THUẬT DATA STRUCTURE AND ALGORITHMS pptx

... Tài liệu học tập Giáo trình: C & Data Structures, P S Deshpande, O G Kakde CHARLES RIVER MEDIA, INC Hingham, Massachusetts Tham khảo: Giáo trình Cấu trúc liệu 1, Trần Hạnh Nhi ... kết 39 Định nghĩa cấu trúc liệu danh sách liên kết đơn mô tả sau: typedef struct Node{ int Key; Node *pNext; }; Trong khai báo Node *pNext dùng để mô tả: A Con trỏ trỏ tới phần liệu B Vùng liên ... lệnh sau bổ sung vào vị trí thiếu đoạn mã? struct NodeType{ int data; NodeType *next; }; void main(){ NodeType *p; NodeType *q; p=new NodeType; p- >data= 18; q=new NodeType; q- >data= 32; A q=p->next;...

Chương 1 Cấu trúc dữ liệu và giải thuật (Data Structure and algorithms)

... học Chương 1: Ôn tập Chương 0: Giới thiệu chung Nội dung  Cấu trúc liệu    Thuật toán Độ phức tạp thuật toán Chương 1: Ôn tập Cấu trúc liệu    (1) Sự tổ chức hợp lý thành phần liệu, (2) ... toán = Chương trình Chương 1: Ôn tập Nội dung 12  Cấu trúc liệu  Thuật toán  Độ phức tạp thuật toán (algorithm  complexity) Chương 1: Ôn tập Thời gian thực thuật toán 13  Thời gian giải toán ... tập Cấu trúc chương trình C/C++ 23  Qui cách viết chương trình  Các dòng khối thẳng cột  Khối khối lùi vào TAB  Ghi thích chỗ cần thiết Chương 1: Ôn tập Chương 1: Ôn tập C/C++ 10 11 12  Cấu...

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Data Structures and Algorithms - Chapter 3 -STACK ppt

... push top n -1 count n top data x x x x n-2 n-1 max-2 max-1 x x … Conceptual Stack top count data End Stack pop Stack with pre-defined maxsize and has n ... Algorithm (cont.) Push (val DataIn ) // For Linked Stack count Allocate pNew If (allocation was successful) top pNew- >data = DataIn pNew->link = top top = pNew count = count ... top = NULL count = top count = 13 Push data into a Linked Stack Allocate memory for the new node and set up data count n … top pNew X Update pointers and count: pNew->link = top (1) • Point the...

Data Structures and Algorithms - Chapter 3 -Stack Applications pdf

... Postfix a+b*c-(d*e / f)*g a Infix Postfix a+b*c-(d*e / f)*g abc*+ - a a+b*c-(d*e / f)*g ( - abc*+ ab a+b*c-(d*e / f)*g abc*+d + ( - * ab + a+b*c-(d*e / f)*g * ( - abc*+d a+b*c-(d*e / f)*g * ( - abc*+de ... it’s operands have been processed 12 Evaluate a Postfix Expression Postfix Postfix 4+6 =10 246+* 5- 246+* 5- 10 10*2 = 20 246+* 5- 246+* 5- 246+* 5- 246+* 5- 20 246+* 5- 20 2 0-5 = 15 246+* 5- 15 Infix ... a+b*c-(d*e / f)*g + a+b*c-(d*e / f)*g a+b*c-(d*e / f)*g a+b*c-(d*e / f)*g * + abc Infix Postfix a+b*c- (d*e / f)*g / ( - abc*+de* a+b*c- (d*e / f)*g / ( - abc*+de*f a+b*c- (d*e / f)*g abc*+de*f/ -...

Data Structures and Algorithms - Chapter 9: Hashing pot

... CSE Faculty - HCMUT 14 01 December 2008 Hash Functions • Direct hashing • Modulo division • Digit extraction • Mid-square • Folding • Rotation • Pseudo-random Cao Hoang Tru CSE Faculty - HCMUT 15 ... Tru CSE Faculty - HCMUT 29 01 December 2008 Collision Resolution • As data are added and collisions are resolved, hashing tends to cause data to group within the list ⇒ Clustering: data are unevenly ... 46 56 66 Spreading the data more evenly across the address space Cao Hoang Tru CSE Faculty - HCMUT 25 01 December 2008 Pseudorandom Key Pseudorandom Number Generator Random Number Modulo Division...

Data Structures and Algorithms - Chapter 6 -Recursion pot

... Fibonacci(n -1 )+Fibonacci(n -2 ) ) // recursive case End Fibonacci 36 Fibonacci Numbers 37 Fibonacci Numbers 38 Fibonacci Numbers  The recursive program needlessly repeats the same calculations over and ... function PrintReverse if (head = NULL) // stopping case return PrintReverse(head->link) // recursive case write (head- >data) End PrintReverse 21 Factorial: A recursive Definition 22 Iterative Solution ... RecursiveFactorial(n-1) // recursive case return factN End RecursiveFactorial 24 Recursive Solution  The recursive definition and recursive solution can be both concise and elegant  The computational...

Data Structures and Algorithms - Chapter 7 -Tree pptx

... not NULL) AND (subroot- >data. key target) if (target < subroot- >data. key) subroot = subroot->left else subroot = subroot->right return subroot End iterative_Search Target = 22 subroot 47 Search ... (refOperation(ref Data )) inOrderTraverse (refOperation(ref Data )) postOrderTraverse (refOperation(ref Data )) • Breadth-First Traverse: ... recursive_postOrder(subroot->left) recursive_postOrder(subroot->right) Operation(subroot- >data) End recursive_postOrder 30 Depth-First Traversal preOrderTraverse (refOperation(ref Data ))...

Data Structures and Algorithms - Chapter 8: Heaps pptx

... underflow else MinData = Data[ 0] Data[ 0] = Data[ count -1 ] count = count - ReheapDown(0, count -1 ) return success End DeleteHeap 16 DeleteHeap (ref MinData ) // Iterative ... InsertElement (val DataIn ) DeleteMin (ref MinData ) RetrieveMin (ref MinData ) RetrieveMax (ref MaxData ) ... array of random data Pre Array of count random data Post Array of data becames a heap Uses Recursive function ReheapDown position = count / -1 loop (position >=0) ReheapDown(position, count-1) position...

Data Structures and Algorithms - Chapter 10: Sorting docx

... = loop (current < count ) temp = datacurrent walker = current-1 loop (walker >=0) AND (temp.key < datawalker.key) datawalker+1 = datawalker walker = walker -1 datawalker+1 = temp current = current ... loop (current < count) temp = data[ current] walker = current - k loop (walker >=0) AND (temp.key < data[ walker].key) data[ walker + k] = data[ walker] walker = walker – k data[ walker + k] = temp current ... 43 Divide -and- conquer sorting Algorithm DivideAndConquer() if (the list has length greater than 1) partition the list into lowlist, highlist lowlist DivideAndConquer() highlist DivideAndConquer()...

Data Structures and Algorithms - Chapter 12: Multiway trees pdf

... Concepts Trees Trees and Orchard Lexicographic Search Tree Multiway Trees 10 11 M-Way Search Tree 12 13 14 15 B-Tree 16 17 B-Tree Insertion 18 B-Tree Insertion 19 B-Tree B_Node count data ... subroot->datai - subroot->branchi + = subroot->branchi i = i + subroot- >data position= entry subroot->branch position + 1= rightBranch subroot->count = -subroot->count + End push_in 31 B-Tree splitNode ... B-Tree push_in (val subroot , val entry , val rightBranch , val position ) i = subroot->count loop ( i > position) subroot->datai = subroot->datai -...

Data Structures and Algorithms - Chapter 12: Multiway trees doc

... m-1] of entry> end node 17 November 2008 B -Trees • M-way trees are unbalanced • Bayer, R & McCreight, E (1970) created B -Trees Cao Hoang Tru CSE Faculty - HCMUT 17 November 2008 B -Trees • A B-tree ... M-Way Search Trees • Each node has m - data entries and m subtree pointers • The key values in a subtree such that: – >= the key of the left data entry – < the key of the right data entry ... entries[shifter] = node -> entries[shifter - 1] shifter = shifter - node -> entries[shifter] = newEntry node -> numEntries = node -> numEntries + return End insertEntry Cao Hoang Tru CSE Faculty - HCMUT 18...

Chapter 5 Configuring Connections and Connecting to Data

... InsertCommand UpdateCommand DeleteCommand DataReader Generic classes Connection Command DataReader DataAdapter DataSet Core ADO.NET Namespaces System .Data System .Data. OleDb System .Data. SqlClient ... Connection methods And … Questions? 10 Lesson 2: Connecting to Data Using Connection Objects Opening and Closing Data Connections Connection Events Opening and Closing Data Connections Open and Close ... to ADO.NET Introdution to ADO.NET XML is an industry standard XML is an industry standard format for storing and format for storing and transferring data over transferring data over multiple platforms...

Book Econometric Analysis of Cross Section and Panel Data By Wooldridge - Chapter 5 doc

... equation (5. 11) and the law of large numbers We consider a more general case in Section 5. 2.1 When searching for instruments for an endogenous explanatory variable, conditions (5. 3) and (5. 5) are ... Þ=ðx1 À x0 Þ where y0 and x0 are the sample averages of yi and xi over the part of the sample with zi ¼ 0, and y1 and x1 are the sample averages of yi and xi over the part of the sample with zi ... full set of estimates, including standard errors and t statistics, can be found in Card (19 95) Or, you can replicate Card’s results in Problem 5. 4 90 5. 1.2 Chapter Multiple Instruments: Two-Stage...

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