Understanding Instanceof
Types of Algorithms
Brute Force Algorithms: A problem solving technique where a series of possible answers are worked out and each possibility is tested for accuracy. This technique is particularly useful on multiple choice problems.
1. Sequential Search
2. Hamilton Circuit
Greedy Algorithms
1. Prim’s Minimal Spanning Tree
2. Kruskal’s Minimal Spanning Tree
3. Dijkstra’s Single-Source Shortest Path
4. Coin Change
5. Egyptian Fractions
6. Map Coloring
7. Voting Districts
8. Vertex Cover
9. 0/1 Knapsack
Divide and Conquer Algorithms
1. Merge Sort
2. Quick Sort
3. Tiling with L-Grouped Tiles
4. Closet Pair
5. Strassen’s Matrix Multiplication
Backtracking Algorithms
1. Solution Spaces
2. Traveling Salesperson
3. The Queens Problem
4. Convex Hull (Graham’s Scan)
5. Generating Permutations
Branch Bound Algorithms
1. Cost Based Tree Traversal
2. Mazes
3. Travelling Salesperson Problem
4. Job Scheduling
5. Integer Linear Programming
Dynamic Programming Algorithms
1. Fibonacci Numbers
2. 0/1 Knapsack Problem
3. All Pairs Shortest Path (Floyd-Warshall)
Testing Code
package acm.edu.salary;
public class changeSalary {
@SuppressWarnings("null")
public String changedSalary(String salary) {
String salary2 = salary.re;
// declare a new matrix to store the cost
int[][] salaryMatrix = null;
// this block initializes the first row and first column in a numerical sequence
for (int i = 0; i < salary.length() ; i++ ) {
salaryMatrix[i][0] = i;
for ( int j = 0; j < salary.length(); j++ ) {
salaryMatrix[0][j] = j;
}
}
// finding the minimum value
for (int i = 1; i < salary.length() ; i++ ) {
for ( int j = 1; j < salary.length(); j++ ) {
}
}
try {
int sourceSalary = Integer.parseInt(salary);
int targetSalary = Integer.parseInt(salary2);
}catch(NumberFormatException nfe) {
}
return salary2;
}
}