composition announcements linked lists linked list
play

Composition Announcements Linked Lists Linked List Structure A - PowerPoint PPT Presentation

Jan 04, 2023 •19 likes •1.04k views

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a first value and the rest of the linked list 4 Linked List Structure A linked list is either empty or a first value and the rest of the linked list

  1. Property Methods In some cases, we want the value of instance attributes to be computed on demand For example, if we want to access the second element of a linked list >>> s = Link(3, Link(4, Link(5))) >>> s.second 4 >>> s.second = 6 No method >>> s.second calls! 6 >>> s Link(3, Link(6, Link(5))) The @property decorator on a method designates that it will be called whenever it is looked up on an instance 8

  2. Property Methods In some cases, we want the value of instance attributes to be computed on demand For example, if we want to access the second element of a linked list >>> s = Link(3, Link(4, Link(5))) >>> s.second 4 >>> s.second = 6 No method >>> s.second calls! 6 >>> s Link(3, Link(6, Link(5))) The @property decorator on a method designates that it will be called whenever it is looked up on an instance A @<attribute>.setter decorator on a method designates that it will be called whenever that attribute is assigned. <attribute> must be an existing property method. 8

  3. Property Methods In some cases, we want the value of instance attributes to be computed on demand For example, if we want to access the second element of a linked list >>> s = Link(3, Link(4, Link(5))) >>> s.second 4 >>> s.second = 6 No method >>> s.second calls! 6 >>> s Link(3, Link(6, Link(5))) The @property decorator on a method designates that it will be called whenever it is looked up on an instance A @<attribute>.setter decorator on a method designates that it will be called whenever that attribute is assigned. <attribute> must be an existing property method. (Demo) 8

  4. Tree Class

  5. Tree Abstraction (Review) 3 1 2 0 1 1 1 0 1 10

  6. Tree Abstraction (Review) 3 1 2 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): 10

  7. Tree Abstraction (Review) 3 1 2 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches 10

  8. Tree Abstraction (Review) Root label 3 1 2 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches 10

  9. Tree Abstraction (Review) Root label 3 Branch 1 2 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches 10

  10. Tree Abstraction (Review) Root label 3 Branch 1 2 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree 10

  11. Tree Abstraction (Review) Root label 3 Branch 1 2 (also a tree) 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree 10

  12. Tree Abstraction (Review) Root label 3 Branch 1 2 (also a tree) 0 1 1 1 0 1 Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree A tree with zero branches is called a leaf 10

  13. Tree Abstraction (Review) Root label 3 Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree A tree with zero branches is called a leaf 10

  14. Tree Abstraction (Review) Root label 3 Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree A tree with zero branches is called a leaf A tree starts at the root 10

  15. Tree Abstraction (Review) Root of the whole tree Root label 3 Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree A tree with zero branches is called a leaf A tree starts at the root 10

  16. Tree Abstraction (Review) Root of the whole tree Root label 3 Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each branch is a tree A tree with zero branches is called a leaf A tree starts at the root 10

  17. Tree Abstraction (Review) Root of the whole tree Nodes Root label 3 Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree A tree with zero branches is called a leaf A tree starts at the root 10

  18. Tree Abstraction (Review) Root of the whole tree Nodes Root label 3 Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf A tree starts at the root 10

  19. Tree Abstraction (Review) Root of the whole tree Nodes Root label 3 Labels Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf A tree starts at the root 10

  20. Tree Abstraction (Review) Root of the whole tree Nodes Root label 3 Labels Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf One node can be the parent / child of another A tree starts at the root 10

  21. Tree Abstraction (Review) Root of the whole tree Nodes Root label 3 Labels Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf One node can be the parent / child of another A tree starts at the root The top node is the root node 10

  22. Tree Abstraction (Review) or Root Node Root of the whole tree Nodes Root label 3 Labels Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf One node can be the parent / child of another A tree starts at the root The top node is the root node 10

  23. Tree Abstraction (Review) or Root Node Root of the whole tree Nodes Root label 3 Labels Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf One node can be the parent / child of another A tree starts at the root The top node is the root node People often refer to labels by their locations: "each parent is the sum of its children" 10

  24. Tree Abstraction (Review) or Root Node Root of the whole tree Nodes Root label 3 Labels Root of a branch Branch 1 2 (also a tree) 0 1 1 1 Leaf 0 1 (also a tree) Path Recursive description (wooden trees): Relative description (family trees): A tree has a root label and a list of branches Each location in a tree is called a node Each branch is a tree Each node has a label that can be any value A tree with zero branches is called a leaf One node can be the parent / child of another A tree starts at the root The top node is the root node People often refer to labels by their locations: "each parent is the sum of its children" 10

  25. Tree Class A Tree has a label and a list of branches; each branch is a Tree 11

  26. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: 11

  27. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def __init__(self, label, branches=[]): 11

  28. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def __init__(self, label, branches=[]): self.label = label 11

  29. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def __init__(self, label, branches=[]): self.label = label for branch in branches: assert isinstance(branch, Tree) 11

  30. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def __init__(self, label, branches=[]): self.label = label for branch in branches: assert isinstance(branch, Tree) self.branches = list(branches) 11

  31. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def tree(label, branches=[]): def __init__(self, label, branches=[]): for branch in branches: self.label = label assert is_tree(branch) for branch in branches: return [label] + list(branches) assert isinstance(branch, Tree) def label(tree): self.branches = list(branches) return tree[0] def branches(tree): return tree[1:] 11

  32. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def tree(label, branches=[]): def __init__(self, label, branches=[]): for branch in branches: self.label = label assert is_tree(branch) for branch in branches: return [label] + list(branches) assert isinstance(branch, Tree) def label(tree): self.branches = list(branches) return tree[0] def branches(tree): return tree[1:] def fib_tree(n): if n == 0 or n == 1: return Tree (n) else: left = fib_tree(n-2) right = fib_tree(n-1) fib_n = left .label + right .label return Tree (fib_n, [left, right]) 11

  33. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def tree(label, branches=[]): def __init__(self, label, branches=[]): for branch in branches: self.label = label assert is_tree(branch) for branch in branches: return [label] + list(branches) assert isinstance(branch, Tree) def label(tree): self.branches = list(branches) return tree[0] def branches(tree): return tree[1:] def fib_tree(n): def fib_tree(n): if n == 0 or n == 1: if n == 0 or n == 1: return Tree (n) return tree (n) else: else: left = fib_tree(n-2) left = fib_tree(n-2) right = fib_tree(n-1) right = fib_tree(n-1) fib_n = left .label + right .label fib_n = label (left) + label (right) return Tree (fib_n, [left, right]) return tree (fib_n, [left, right]) 11

  34. Tree Class A Tree has a label and a list of branches; each branch is a Tree class Tree: def tree(label, branches=[]): def __init__(self, label, branches=[]): for branch in branches: self.label = label assert is_tree(branch) for branch in branches: return [label] + list(branches) assert isinstance(branch, Tree) def label(tree): self.branches = list(branches) return tree[0] def branches(tree): return tree[1:] def fib_tree(n): def fib_tree(n): if n == 0 or n == 1: if n == 0 or n == 1: return Tree (n) return tree (n) else: else: left = fib_tree(n-2) left = fib_tree(n-2) right = fib_tree(n-1) right = fib_tree(n-1) fib_n = left .label + right .label fib_n = label (left) + label (right) return Tree (fib_n, [left, right]) return tree (fib_n, [left, right]) (Demo) 11

  35. Tree Mutation

  36. Example: Pruning Trees Removing subtrees from a tree is called pruning Prune branches before recursive processing 13

  37. Example: Pruning Trees 3 Removing subtrees from a tree is called pruning Prune branches before 1 2 recursive processing 0 1 1 1 0 1 13

  38. Example: Pruning Trees 3 Removing subtrees from a tree is called pruning Prune branches before 1 2 recursive processing 0 1 1 1 0 1 13

  39. Example: Pruning Trees 3 Removing subtrees from a tree is called pruning Prune branches before 1 2 recursive processing 0 1 1 1 0 1 def prune(t, n): """Prune sub-trees whose label value is n.""" t.branches = [______________ for b in t.branches if _____________________] for b in t.branches: prune(_______________________________, _______________________________) 13

  40. Example: Pruning Trees 3 Removing subtrees from a tree is called pruning Prune branches before 1 2 recursive processing 0 1 1 1 0 1 def prune(t, n): """Prune sub-trees whose label value is n.""" b b.label != n t.branches = [______________ for b in t.branches if _____________________] for b in t.branches: prune(_______________________________, _______________________________) 13

  41. Example: Pruning Trees 3 Removing subtrees from a tree is called pruning Prune branches before 1 2 recursive processing 0 1 1 1 0 1 def prune(t, n): """Prune sub-trees whose label value is n.""" b b.label != n t.branches = [______________ for b in t.branches if _____________________] for b in t.branches: b n prune(_______________________________, _______________________________) 13

  42. Example: Pruning Trees 3 Removing subtrees from a tree is called pruning Prune branches before 1 2 recursive processing 0 1 1 1 0 1 def prune(t, n): """Prune sub-trees whose label value is n.""" b b.label != n t.branches = [______________ for b in t.branches if _____________________] for b in t.branches: b n prune(_______________________________, _______________________________) (Demo) 13

  43. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) fib(0) fib(1) 1 fib(0) fib(1) fib(1) fib(2) 0 1 fib(0) fib(1) 0 1 1 0 1 14

  44. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 fib(0) fib(1) fib(1) fib(2) 0 1 fib(0) fib(1) 0 1 1 0 1 14

  45. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 fib(0) fib(1) 0 1 1 0 1 14

  46. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 0 1 14

  47. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  48. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  49. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  50. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  51. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  52. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  53. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  54. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  55. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  56. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  57. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  58. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  59. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  60. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

  61. Example: Pruning Trees Removing subtrees from a tree is called pruning fib(5) Prune branches before recursive processing fib(3) fib(4) fib(1) fib(2) fib(2) fib(3) Memoization : fib(0) fib(1) 1 Returned by fib fib(0) fib(1) fib(1) fib(2) 0 1 Found in cache fib(0) fib(1) 0 1 1 Skipped 0 1 14

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a first value and the rest of the linked list A linked list A class attribute represents is a pair an empty linked list 3 , 4 , 5 Link instance Link

611 views • 21 slides
Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a first value and the rest of the linked list A linked list A class attribute represents is a pair an empty linked list 3 , 4 , 5 Link instance Link

149 views • 11 slides
Announcements Composition Linked List Structure A linked list is either empty or a first value

Announcements Composition Linked List Structure A linked list is either empty or a first value

Announcements Composition Linked List Structure A linked list is either empty or a first value and the rest of the linked list A linked list A class attribute represents is a pair 3 , 4 , 5 an empty linked list Link instance Link instance Link

494 views • 3 slides
Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a

Composition Announcements Linked Lists Linked List Structure A linked list is either empty or a first value and the rest of the linked list 4 Linked List Structure A linked list is either empty or a first value and the rest of the linked list

1.3k views • 114 slides
Linked Lists Kruse and Ryba Textbook 4.1 and Chapter 6 Linked Lists Linked list of items

Linked Lists Kruse and Ryba Textbook 4.1 and Chapter 6 Linked Lists Linked list of items

Linked Lists Kruse and Ryba Textbook 4.1 and Chapter 6 Linked Lists Linked list of items is arranged in order Size of linked list changes as items are inserted or removed Dynamic memory allocation is often used in linked list

484 views • 26 slides
Ch 5 Linked Lists A Node Class for Linked Lists A Linked List Toolkit The Bag Class with a

Ch 5 Linked Lists A Node Class for Linked Lists A Linked List Toolkit The Bag Class with a

Ch 5 Linked Lists A Node Class for Linked Lists A Linked List Toolkit The Bag Class with a Linked List Programming Project: The Sequence Class Efficiency Considerations 1 The Node Class Elements of Containers Implemented as Linked

642 views • 33 slides
Objectives: Discuss linked lists Review Typical operations Linked List

Objectives: Discuss linked lists Review Typical operations Linked List

Linked List Objectives: Discuss linked lists Review Typical operations Linked List Classification: Holds the series of objects (also called node) Singly linked list: each object, except the last one, has an address

528 views • 16 slides
Linked Lists Fundamentals of Computer Science Outline Sequential vs. Linked Linked List

Linked Lists Fundamentals of Computer Science Outline Sequential vs. Linked Linked List

Linked Lists Fundamentals of Computer Science Outline Sequential vs. Linked Linked List Building a Linked List Traversing a Linked List Implementation (Circular) Sequential vs. Linked Sequential data structures Put one

519 views • 27 slides
Objectives: Discuss linked lists Syntax Implementation Linked List

Objectives: Discuss linked lists Syntax Implementation Linked List

Linked List Objectives: Discuss linked lists Syntax Implementation Linked List Characteristics: A collection Holds objects to store, retreive and manipulate Java Library LinkedList Store type Object

387 views • 10 slides
WITH C++ Prof. Amr Goneid AUC Part 16. Linked Lists Prof. amr Goneid, AUC 1 Linked Lists

WITH C++ Prof. Amr Goneid AUC Part 16. Linked Lists Prof. amr Goneid, AUC 1 Linked Lists

CSCE 110 PROGRAMMING FUNDAMENTALS WITH C++ Prof. Amr Goneid AUC Part 16. Linked Lists Prof. amr Goneid, AUC 1 Linked Lists Prof. amr Goneid, AUC 2 Linked Lists The Linked List Structure Some Linked List Operations Variations on

865 views • 60 slides
Linked Lists Part 2 Linked List Implementation Checkout SinglyLinkedList project from SVN

Linked Lists Part 2 Linked List Implementation Checkout SinglyLinkedList project from SVN

Linked Lists Part 2 Linked List Implementation Checkout SinglyLinkedList project from SVN (Homework) Checkout LinkedListSimpleGeneric Checkout CoolPair Lets modify our simple linked list to take arbitrary objects! Two ways: Object

249 views • 12 slides
Doubly-Linked Lists 4-02-2013 Doubly-linked list Implementation of List ListIterator

Doubly-Linked Lists 4-02-2013 Doubly-linked list Implementation of List ListIterator

Doubly-Linked Lists 4-02-2013 Doubly-linked list Implementation of List ListIterator Reading: Maciel, Chapter 13 HW#4 due: Wednesday, 4/03 (new ew due e dat ate) e) Quiz on Thursday, 4/04, on nodes &amp; pointers Review Session on

1.04k views • 37 slides
13-1 Exercise Implementing Lists with Linked Lists First, lets augment our node class

13-1 Exercise Implementing Lists with Linked Lists First, lets augment our node class

Overview Topics Nodes and Links List implementation using linked lists CSE 143 Java Autumn 2001 Reading: Textbook: Ch. 23 Linked Lists 11/19/2001 (c) 2001, University of Washington 13-1 11/19/2001 (c) 2001,

333 views • 4 slides
Introduction to Object-Oriented Programming Linked Lists Christopher Simpkins

Introduction to Object-Oriented Programming Linked Lists Christopher Simpkins

Introduction to Object-Oriented Programming Linked Lists Christopher Simpkins chris.simpkins@gatech.edu CS 1331 (Georgia Tech) 1 / 13 Linked Lists Linked Lists Dynamic data structures Singly linked lists Generic linked lists Doubly linked

179 views • 13 slides
Linked Lists Anatomy of a linked list A linked list consists of: A sequence of nodes

Linked Lists Anatomy of a linked list A linked list consists of: A sequence of nodes

Linked Lists Anatomy of a linked list A linked list consists of: A sequence of nodes myList a b c d Each node contains a value and a link (pointer or reference) to some other node The last node contains a null link The list may (or

777 views • 26 slides
CS 241 Data Organization Linked Lists March 27, 2018 Linked List A B C D E NULL A

CS 241 Data Organization Linked Lists March 27, 2018 Linked List A B C D E NULL A

CS 241 Data Organization Linked Lists March 27, 2018 Linked List A B C D E NULL A linked list is a data structure that consists of a sequence of data records such that in each record there is a field that contains a reference (a

474 views • 13 slides
ON THE SEMICONTINUITY OF THE MOD 2 SPECTRUM OF HYPERSURFACE SINGULARITIES Andrew Ranicki

ON THE SEMICONTINUITY OF THE MOD 2 SPECTRUM OF HYPERSURFACE SINGULARITIES Andrew Ranicki

1 ON THE SEMICONTINUITY OF THE MOD 2 SPECTRUM OF HYPERSURFACE SINGULARITIES Andrew Ranicki (Edinburgh) http://www.maths.ed.ac.uk/ aar Bill Bruce 60 and Terry Wall 75 Liverpool, 18-22 June, 2012 2 A mathematical family tree Frank Adams

1.1k views • 26 slides
RDI RDI RDI RDI HIV Resistance Response HIV Resistance Response Database Initiative Database

RDI RDI RDI RDI HIV Resistance Response HIV Resistance Response Database Initiative Database

RDI RDI RDI RDI HIV Resistance Response HIV Resistance Response Database Initiative Database Initiative Seville 2002 Presentation Seville 2002 Presentation Goal Goal To develop a relational database to To develop a relational

184 views • 16 slides
Databases Relational Model, Algebra and operations How do we model and manipulate complex data

Databases Relational Model, Algebra and operations How do we model and manipulate complex data

Databases Relational Model, Algebra and operations How do we model and manipulate complex data structures inside a computer system? Until 1970 .. Many different views or ways of doing this Could use tree structures Could use network

453 views • 16 slides
Relational Amazon Aurora Amazon RedShi f Amazon RDS AWS Database Migration Service DMS

Relational Amazon Aurora Amazon RedShi f Amazon RDS AWS Database Migration Service DMS

Relational Amazon Aurora Amazon RedShi f Amazon RDS AWS Database Migration Service DMS Relational Document Amazon Aurora Amazon DocumentDB Amazon RedShi f Amazon RDS AWS Database Migration Service DMS Relational Document Amazon

761 views • 11 slides
14.581 International Trade Lecture 8: Factor Proportion Theory (I) 14.581 Week 5 Spring

14.581 International Trade Lecture 8: Factor Proportion Theory (I) 14.581 Week 5 Spring

14.581 International Trade Lecture 8: Factor Proportion Theory (I) 14.581 Week 5 Spring 2013 14.581 (Week 5) Factor Proportion Theory (I) Spring 2013 1 / 25 Todays Plan Factor Proportion Theory 1 Ricardo-Viner model 2 Basic

1.13k views • 26 slides
Crawling CE-324: Modern Information Retrieval Sharif University of Technology M. Soleymani

Crawling CE-324: Modern Information Retrieval Sharif University of Technology M. Soleymani

Crawling CE-324: Modern Information Retrieval Sharif University of Technology M. Soleymani Spring 2020 Most slides have been adapted from: Profs. Manning, Nayak &amp; Raghavan (CS-276, Stanford) Sec. 20.2 Basic crawler operation } Begin with

810 views • 41 slides
ECE 2574: Data Structures and Algorithms - Link-Based Performance C. L. Wyatt Today we will look

ECE 2574: Data Structures and Algorithms - Link-Based Performance C. L. Wyatt Today we will look

ECE 2574: Data Structures and Algorithms - Link-Based Performance C. L. Wyatt Today we will look more citically at the relative advantages of array-based versus link-based implementations. Finish link-based bag implementation A benchmark

447 views • 12 slides
POLI 120N: Contention and Conflict in Africa Professor Adida Explaining civil conflict: ancient

POLI 120N: Contention and Conflict in Africa Professor Adida Explaining civil conflict: ancient

POLI 120N: Contention and Conflict in Africa Professor Adida Explaining civil conflict: ancient hatred vs. rational origins What is a civil war? Correlates of War: internal conflicts that count more than 1,000 battle deaths Fearon and Laitin:

474 views • 36 slides

More recommend