## Formula generator for MINVERSE function

The MINVERSE function returns the multiplicative inverse of a square matrix specified as an array or range. The resulting inverse matrix, when multiplied by the original matrix, will yield the identity matrix.

# Formula generator

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# How to generate an MINVERSE formula using AI.

To obtain information on the ARRAY_CONSTRAIN formula, you could ask the AI chatbot the following question: “To obtain the MINVERSE formula, you can ask the AI chatbot the following question: "What is the formula to find the inverse of a matrix in Excel?"”

## MINVERSE formula syntax

The MINVERSE function in Excel is used to calculate the inverse matrix of a given matrix. The syntax for MINVERSE is: MINVERSE(matrix) The "matrix" argument is the range of cells that contain the matrix you want to invert. The matrix should be a square matrix, meaning it has an equal number of rows and columns. For example, if you have a matrix in cells A1:B2, you would use the formula: =MINVERSE(A1:B2) The result of the MINVERSE function is an array formula, which means you need to select a range of cells (with the same number of rows and columns as the original matrix) and then enter the formula using Ctrl+Shift+Enter to indicate that it is an array formula. The result will be the inverse matrix of the original matrix.

## Use Cases & Examples

In these use cases, we use the MINVERSE formula to calculate the inverse of a matrix.

## Calculate the inverse of a 3x3 matrix

### Description

In this use case, we use the MINVERSE function to calculate the inverse of a 3x3 matrix.

### Result

MINVERSE(A1:C3)

## Calculate the inverse of a 4x4 matrix

### Description

In this use case, we use the MINVERSE function to calculate the inverse of a 4x4 matrix.

### Result

MINVERSE(A1:D4)

## Calculate the inverse of a variable-sized matrix

### Description

In this use case, we use the MINVERSE function to calculate the inverse of a matrix with a variable number of rows and columns.

### Result

MINVERSE(A1:E5)

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### Provide Clear Context

When describing your requirements to the AI, provide clear and concise context about the data you have, the specific task you want to accomplish, and any relevant constraints or conditions. This helps the AI understand the problem accurately.

### Include Key Details

Include important details such as column names, data ranges, and specific criteria that need to be considered in the formula. The more precise and specific you are, the better the AI can generate an appropriate formula.

### Use Examples

If possible, provide examples or sample data to illustrate the desired outcome. This can help the AI better understand the pattern or logic you are looking for in the formula.

### Mention Desired Functionality

Clearly articulate the functionality you want the formula to achieve. Specify if you are looking for lookups, calculations, aggregations, or any other specific operations.