The algorithm and flowchart are two types of tools to explain the process of a program. In this page, we discuss the differences between an algorithm and a flowchart and how to create a flowchart to illustrate
Make Flowchart Now Example 12: Determine Whether A Student Passed the Exam or NotStep 1: Input grades of 4 courses M1, M2, M3 and M4. Step 2: Calculate the average grade with the formula "Grade=(M1+M2+M3+M4)/4". Step 3: If the average grade is less than 60, print "FAIL", ...
Algorithms usually consist of three different stages:INPUT, • Process • Output An algorithm may be documented using different methods. These include structured English, a program flowchart, and pseudocode. State what a program designer represents using one or more of these methods: • A solut...
Figure 2 provides a flowchart depiction of the method for easier comprehension. Figure 2 Flow chart of the developed clustering algorithm. Full size image Applications and analysis This section provides some examples to explain the applicability and validity of the proposed clustering algorithm. Illustrat...
FLOWCHART AND ALGORITHM 9 Q 11th 46 Double Digit Multiplication 10 Q 2nd - 4th 698 Single Digit Multiplication 10 Q 2nd - 3rd 192 Multi-Digit Addition and Subtraction and Rounding 20 Q 2nd - 4th 369 Double digit and Single digit multiplication 10 Q 2nd - 3rd 80 Single Digit Multiplication...
Figure 1.Flowchart of the competitor algorithm. After each exam, students will have a period of time to explore their own new learning methods and participate in the next exam with their new learning methods until graduation. As the number of exam attempts (generations) accumulates, students will...
Figure 1. Flowchart of the competitor algorithm. After each exam, students will have a period of time to explore their own new learning methods and participate in the next exam with their new learning methods until graduation. As the number of exam attempts (generations) accumulates, students ...
Figure 3gives the flowchart of the transfer learning method. At first, the selected base model, e.g., MobileNetV2, was trained on a big dataset, e.g., ImageNet [34], and its network weights were determined. Following the pretrained model, we added a head model and a classifier layer....