It is swipe base design for computer engineering to learn concepts of analysis & design of algorithm. It almost cover all important topics which are given below chapter wise.
Chapter 1. Algorithms
1. Designing The Algorithm
2. Analyze an Algorithm
3. Asymptotic Notations
4. Heap and heap sort
5. Divide and conquer technique
6. Comparison of various algorithms based on this technique
Chapter 2. Greedy strategy
1. Study of Greedy strategy
2. Huffman coding
3. Minimum spanning trees
4. Knapsack problem
5. Job sequencing with deadlines
6. Single source shortest path algorithm
Chapter 3. Concept of dynamic programming
1. Concept of dynamic programming
2. 0/1 Knapsack Problem
3. Multistage Graphs
4. Reliability design
5. Floyd-Warshall's Algorithm
Chapter 4. Backtracking
1. Backtracking concept and its examples like 8 queen?s problem
2. Hamiltonian cycle
3. Graph coloring
4. Branch and Bound Method
5. Lower Bound Theory
6. Parallel algorithms.
Chapter 5. Binary search trees
1. Binary Search Trees
2. AVL Tree
3. 2-3 trees
4. B-Tree
5. NP-Completeness
6. Binary tree traversal: Preorder, Inorder, and Postorde
</div> <div jsname="WJz9Hc" style="display:none">Ini adalah desain dasar swipe untuk teknik komputer untuk mempelajari konsep-konsep analisis & desain algoritma. Hampir mencakup semua topik penting yang diberikan di bawah bab bijaksana.
Bab 1. Algoritma
1. Merancang Algoritma
2. Menganalisis sebuah Algoritma
3. asimtotik Notasi
4. Heap dan tumpukan semacam
5. Divide dan teknik menaklukkan
6. Perbandingan berbagai algoritma berdasarkan teknik ini
Bab 2. Strategi Greedy
1. Studi strategi Greedy
2. Huffman coding
3. pohon spanning Minimum
4. Masalah Knapsack
5. sequencing Job dengan tenggat waktu
6. Sumber Tunggal algoritma jalur terpendek
Bab 3. Konsep pemrograman dinamis
1. Konsep pemrograman dinamis
2. 0/1 Knapsack Masalah
3. Multistage Grafik
Desain 4. Keandalan
Algoritma 5. Floyd-Warshall ini
Bab 4. Mengulangi
1. Konsep Mengulangi dan contoh yang seperti masalah 8 queen? S
2. siklus Hamiltonian
3. Grafik mewarnai
4. Cabang dan Metode Bound
5. Teori rendah Bound
6. algoritma paralel.
Bab 5. pohon pencarian biner
1. Binary Search Trees
2. AVL Pohon
3. 2-3 pohon
4. B-Tree
5. NP-Kelengkapan
6. Binary tree traversal: Preorder, inorder, dan Postorde</div> <div class="show-more-end">