Asec Formula

Returns the inverse secant of a number, in radians.

Syntax

Formula structure

Source: Quadratic docs
=ASEC(number)
number
Required: Yes

Required argument used by the ASEC formula.

Examples for the asec formula

Copy these examples into a spreadsheet and adjust the ranges for your own data.

ASEC syntax pattern

=ASEC(number)

Use this ASEC pattern as the starting point for your spreadsheet formula.

ASEC in a worksheet

=ASEC(A2)

Returns the inverse secant of a number, in radians.

When to use ASEC

Use ASEC when you need to return the inverse secant of a number, in radians.

  • Convert and calculate angles.
  • Model geometry, waves, and other trigonometric relationships.

How ASEC works in Quadratic

In Quadratic, ASEC follows the syntax ASEC(number). The function works inside Quadratic formulas and can be combined with spreadsheet ranges, tables, and other formulas.

Common ASEC mistakes

Most ASEC issues come from mismatched argument types, ranges that do not cover the intended data, or optional parameters being omitted when the default behavior is not what you expected.

  • Check each required parameter before copying the formula across a sheet.
  • Confirm that ranges line up with the rows or columns you intend to analyze.
  • Use Quadratic AI to explain or debug the formula when the result looks wrong.

Related formulas

ASEC formula FAQ

What does the asec formula do?

ASEC returns the inverse secant of a number, in radians.

What is the syntax for ASEC?

The syntax is ASEC(number). Required and optional parameters are listed at the top of this guide.

Can Quadratic AI help with ASEC?

Yes. Quadratic AI can write a ASEC formula, explain existing formula logic, or help debug broken references and unexpected results.

Quadratic AI

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Spreadsheet formulas are powerful, but they get painful fast. A ASEC formula can start simple, then turn into logic that is hard to understand, easy to break, and difficult to share with the rest of your team.

Quadratic AI helps you write formulas, explain formula logic, debug broken references, and move beyond formulas when advanced analysis needs Python, SQL, charts, or connected data.

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Why formulas slow teams down

  • Long formulas become hard to read, understand, and trust.
  • Formula logic breaks when rows, columns, or assumptions change.
  • Manual updates make dashboards and reports fragile over time.
  • Complex formulas are difficult to explain, review, and share with teammates.
  • Advanced analysis quickly outgrows formula-only workflows.