Cosh / Computation Layer

Calculate the hyperbolic cosine of values in a column. Similar to pandas cosh(), numpy.cosh(), or R's cosh() function.

Mathematical form: $$y_i=\cosh (x_i)=\frac{e^{x_i}+e^{-x_i}}{2}$$ where:

• Input domain: all real numbers
• Output range: $y_i\ge 1$
• Key point: $\cosh (0)=1$
• Property: $\cosh (-x)=\cosh (x)$

Applications:

• Suspension cable analysis
• Signal amplification curves
• Catenary arch calculations

Note: Values grow exponentially with input magnitude. May require attention to numerical overflow for large inputs.