## Formula generator for IMCOSH function

The IMCOSH function returns the hyperbolic cosine of a given complex number. It takes a single argument, 'number', which represents the complex number for which the hyperbolic cosine needs to be calculated. The function treats the 'number' as a complex number in the form 'x+yi', where 'x' and 'y' are real numbers. The result is a complex number in the form 'cosh(x+yi)', where 'cosh' is the hyperbolic cosine function.

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# How to generate an IMCOSH formula using AI.

To obtain information on the ARRAY_CONSTRAIN formula, you could ask the AI chatbot the following question: “To obtain the IMCOSH formula from an AI chatbot, you could ask the following question: "Can you provide me with the formula for calculating the inverse hyperbolic cosine (IMCOSH) in Excel?"”

## IMCOSH formula syntax

The IMCOSH syntax in Excel is used to calculate the inverse hyperbolic cosine of a given number. The syntax is as follows: =IMCOSH(number) The "number" argument represents the value for which you want to calculate the inverse hyperbolic cosine. It can be a numeric value, a cell reference, or a formula that evaluates to a numeric value. The IMCOSH function returns the inverse hyperbolic cosine of the given number, which is expressed in radians.

## Use Cases & Examples

In these use cases, we use the IMCOSH function to calculate the hyperbolic cosine of a complex number.

## Calculating Hyperbolic Cosine of a Complex Number

### Description

Calculate the hyperbolic cosine of a given complex number.

### Result

IMCOSH(number)

## Calculating Hyperbolic Cosine of Multiple Complex Numbers

### Description

Calculate the hyperbolic cosine of multiple complex numbers and return the results in an array.

### Result

IMCOSH(array)

## Calculating Hyperbolic Cosine of Complex Numbers in a Range

### Description

Calculate the hyperbolic cosine of complex numbers in a specified range and return the results in a corresponding range.

### Result

IMCOSH(range)

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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.