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Gauss Elimination: Designing the Excel UI (Part 4)


Figure 1: The final professional user interface for the Excel Solver tool.

Designing a Professional Engineering Tool

In the previous parts of this series, we covered the theory and the core VBA code. Now, let's focus on the User Experience (UX). A raw spreadsheet is fine for quick calculations, but if you want to distribute your tool to other engineers, it needs a clean interface.

Below is a walkthrough of how a robust Gauss Elimination Solver should behave, using screenshots from our reference application. You can use this as a blueprint to design your own interface in Excel.

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1. The Startup Screen

When a user opens your engineering tool, they shouldn't be bombarded with raw data. A clean "Welcome Screen" sets the tone.

Design Tip: Use a simple splash screen image and a "Start" button to guide the user. Ensure your VBA macros are enabled.

Figure 2: A dedicated startup screen hides the raw data and welcomes the user.

2. Disclaimer and Safety

Professional engineering tools often include a disclaimer. This protects you as the developer. You can implement this using a simple VBA UserForm that appears on startup.

Figure 3: A UserForm disclaimer ensures the user accepts responsibility before using the tool.

3. The Main Menu

A central hub allows users to navigate between "Reviewing Existing Data" and "Creating New Calculations." This keeps the workbook organized.

Figure 4: A navigation menu separates data entry from calculation tasks.

4. Data Entry and Review

This is the core workspace. In our design, we lock all cells except for the Matrix [A] and Vector {B}. This prevents users from accidentally breaking formulas.

Note: The "Solve" button triggers the VBA macro we wrote in Part 1.

Figure 5: The main calculation workspace where users input the Matrix [A] and Vector {B}.
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5. Robustness Testing: Division by Zero

In Part 3, we discussed the "Division by Zero" error. A good UI should handle this gracefully.

If we swap the equations (putting a zero in the pivot position), our Partial Pivoting logic kicks in behind the scenes, and the program still calculates the correct result without crashing.

Figure 6: Proof of concept: The solver correctly handles a zero in the pivot position thanks to partial pivoting.

6. Error Messages

However, if the system is mathematically impossible (Singular Matrix), the program must inform the user clearly. Instead of a generic "Runtime Error 1004," display a custom message box like the one below.

Figure 7: A user-friendly error message explains "Singular Matrix" issues in plain English.

Next Part: Scaling Up

How do we handle larger systems, like 10 equations with 10 unknowns? We will explore dynamic matrix sizing in the final part of our series.

Continue to Part 5:
Solving System of Equations using Gauss Elimination Method (Part 5: Dynamic Scaling)

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