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1.

図書

図書
Dmitry Zinoviev
出版情報: Raleigh : The Pragmatic Bookshelf, c2018  xvii, 233 p. ; 24 cm
シリーズ名: The pragmatic programmers
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2.

図書

図書
Bill Lubanovic
出版情報: Beijing : O'Reilly, 2019.11  xxviii, 597 p. ; 24 cm
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3.

図書

図書
Krishna Raj P.M., Ankith Mohan, K.G. Srinivasa
出版情報: Cham, Switzerland : Springer, c2018  xxxi, 329 p. ; 25 cm
シリーズ名: Computer communications and networks
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4.

図書

図書
José Unpingco
出版情報: Cham : Springer, c2019  xiv, 384 p. ; 25 cm
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5.

図書

図書
Tim J. Stevens, Wayne Boucher
出版情報: Cambridge : Cambridge University Press, 2015  viii, 702 p. ; 25 cm
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6.

図書

図書
Al Sweigart
出版情報: San Francisco : No Starch Press, c2015  xxi, 479 p. ; 24 cm
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7.

図書

図書
Mark Lutz
出版情報: Sebastopol, CA : O'Reilly, 2013  l, 1540 p. ; 24 cm
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8.

図書

図書
Rance D. Necaise
出版情報: Hoboken, N.J. : Wiley, c2011  xviii, 520 p. ; 26 cm
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目次情報: 続きを見る
Abstract Data Types / Chapter 1:
Introduction / 1.1:
Abstractions / 1.1.1:
Data Structures / 1.1.2:
The Date ADT / 1.2:
Preconditions and Postconditions / 1.2.1:
Using the ADT / 1.2.2:
Implementing the ADT / 1.2.3:
The Bag ADT / 1.3:
Selecting a Data Structure / 1.3.1:
The Class Definition / 1.3.3:
Iterators / 1.4:
The Set ADT / 1.5:
The Map ADT / 1.5.1:
Defining the ADT / 1.6.1:
Implementing the Map ADT / 1.6.2:
Alternate Implementation / 1.6.3:
Application: Histograms / 1.7:
Building a Histogram / 1.7.1:
Implementing the Histogram ADT / 1.7.2:
Programming Problems
Arrays and Vectors / Chapter 2:
The Array Structure / 2.1:
Simulating an Array / 2.1.1:
The Array ADT / 2.1.2:
The Python List (Vector) / 2.1.3:
Multi-Dimensional Arrays / 2.3:
The MultiArray ADT / 2.3.1:
Data Organization / 2.3.2:
Variable Length Arguments / 2.3.3:
MultiArray Implementation / 2.3.4:
The Matrix ADT / 2.4:
Matrix Operations / 2.4.1:
Application: The Game of Life / 2.4.2:
Rules of the Game / 2.5.1:
Designing a Solution / 2.5.2:
ADT Implementation / 2.5.3:
Exercises
Algorithm Analysis / Chapter 3:
Complexity Analysis / 3.1:
Big-O Notation / 3.1.1:
Classes of Algorithms / 3.1.2:
Empirical Analysis / 3.1.3:
Evaluating ADT Implementations / 3.2:
Evaluating the Python List / 3.2.1:
Evaluating the Set ADT / 3.2.2:
Searching / 3.3:
Linear Search / 3.3.1:
Binary Search / 3.3.2:
Working with Ordered Lists / 3.4:
Building An Ordered List / 3.4.1:
Merging Ordered Lists / 3.4.2:
The Set ADT Revisited / 3.5:
Application: The Sparse Matrix / 3.6:
Implementation / 3.6.1:
Analysis / 3.6.2:
The Linked List / Chapter 4:
A Linked Structure / 4.1:
The Singly-Linked List / 4.2:
Basic Operations / 4.2.1:
Evaluating the Linked List / 4.2.2:
The Bag ADT Revisited / 4.3:
Implementation Details / 4.3.1:
Linked List Iterator / 4.3.2:
Using a Tail Pointer / 4.4:
The Ordered Linked List / 4.5:
The Sparse Matrix Revisited / 4.6:
The New Implementation / 4.6.1:
Comparing Implementations / 4.6.2:
Application: Polynomials / 4.7:
Polynomial Operations / 4.7.1:
The Polynomial ADT / 4.7.2:
Advanced Linked Lists / 4.7.3:
Doubly-Linked List / 5.1:
Organization / 5.1.1:
List Operations / 5.1.2:
Circular Linked List / 5.2:
Multi-Linked Lists / 5.2.1:
Multiple Chains / 5.3.1:
The Sparse Matrix / 5.3.2:
Complex Iterators / 5.4:
Application: Text Editor / 5.5:
Typical Editor Operations / 5.5.1:
The Edit Buffer ADT / 5.5.2:
Stacks / 5.5.3:
The Stack ADT / 6.1:
Implementing the Stack / 6.2:
Vector Based / 6.2.1:
Linked List Version / 6.2.2:
Stack Applications / 6.3:
Balanced Delimiters / 6.3.1:
Evaluating Postfix Expressions / 6.3.2:
Application: Solving a Maze / 6.4:
Backtracking / 6.4.1:
The Maze ADT / 6.4.2:
Queues / 6.4.4:
The Queue ADT / 7.1:
Implementing the Queue / 7.2:
Circular Array / 7.2.1:
The Priority Queue / 7.2.3:
Application: Computer Simulations / 7.4:
Airline Ticket Counter / 7.4.1:
Class Specifications / 7.4.2:
Hash Tables / Chapter 8:
Hash Functions / 8.1:
Open Addressing / 8.3:
Linear Probing / 8.3.1:
Collision Resolution / 8.3.2:
Bucket Hashing / 8.4:
Hashing Efficiency / 8.5:
The Map ADT Revisited / 8.6:
Application: The Color Histogram / 8.7:
Recursion / Chapter 9:
Recursive Functions / 9.1:
Properties of Recursion / 9.2:
Classic Example: The Factorial Function / 9.2.1:
Greatest Common Divisor / 9.2.2:
Recursion and Stacks / 9.3:
The Towers of Hanoi / 9.4:
Backtracking Revisited / 9.5:
The Eight-Queens Problem / 9.5.1:
Solving the Four-Queens / 9.5.2:
Recursive Solution / 9.5.3:
Application: Sudoku Puzzles / 9.6:
Binary Trees and Heaps / Chapter 10:
Tree Structure / 10.1:
The Binary Tree / 10.2:
Traversals / 10.2.1:
Arithmetic Expresssions / 10.2.2:
Tree Threading / 10.3:
Heaps / 10.4:
Insertions / 10.4.1:
Removals / 10.4.2:
Evaluating the Heap / 10.4.3:
The Priority Queue Revisited / 10.4.4:
Application: Morse Code / 10.5:
Advanced Search Trees / Chapter 11:
The Binary Search Tree / 11.1:
Deletions / 11.1.1:
Evaluating the BST / 11.1.4:
AVL Trees / 11.2:
Evaluating the AVL Tree / 11.2.1:
2-3 Trees / 11.3:
Splay Trees / 11.4:
Application: Improved Map ADT / 11.5:
Sorting Algorithms / Chapter 12:
The Simple Algorithms / 12.1:
Bubble Sort / 12.1.1:
Selection Sort / 12.1.2:
Insertion Sort / 12.1.3:
Radix Sort / 12.2:
Basic Algorithm / 12.2.1:
Bucket Sorting / 12.2.2:
Divide and Conquer / 12.3:
Merge Sort / 12.3.1:
Quick Sort / 12.3.2:
Heap Sort / 12.4:
Application: Empirical Analysis / 12.5:
Python Review / Appendix A:
Basic Concepts / A.1:
Functions / A.2:
Sequence Types / A.3:
Classes / A.4:
Copying Objects / A.5:
Exceptions / A.6:
Object-Oriented Programming / Appendix B:
Encapsulation / B.1:
Inheritance / B.3:
Polymorphism / B.4:
Abstract Data Types / Chapter 1:
Introduction / 1.1:
Abstractions / 1.1.1:
9.

図書

図書
Allen B. Downey
出版情報: Sebastopol, CA : O'Reilly, c2016  xii, 152 p. ; 24 cm
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10.

図書

図書
Kyran Dale
出版情報: Sebastopol, Calif. : O'Reilly, 2016  xxxiii, 553 p. ; 23 cm
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