AkousaMath Expression Evaluator
Evaluate mathematical expressions with variables and functions.
About Math Expression Evaluator
The Math Expression Evaluator computes mathematical expressions with full support for arithmetic operators with correct precedence and parentheses, trigonometric functions (sin, cos, tan, asin, acos, atan, atan2), logarithms (log, log2, log10, ln), exponentials (exp, pow), roots (sqrt, cbrt), rounding (floor, ceil, round, trunc), bitwise operators, and built-in constants (pi, e, tau, phi). Variables can be defined inline and referenced in subsequent expressions, making it suitable for multi-step engineering calculations and formula verification.
How to Use
Type a mathematical expression using standard infix notation — for example 2 * sin(pi/6) + sqrt(144). Define variables with assignment syntax before use: r = 5 followed by area = pi * r^2 to compute the area of a circle. Results compute instantly as you type with full floating-point precision. Use the degree/radian toggle to switch trigonometric function input mode for angle-based calculations, and the expression history panel saves previous calculations for review.
Common Use Cases
- Engineers and scientists evaluating multi-step formulas involving trigonometry, logarithms, and exponentials directly in the browser without switching to Python, MATLAB, or a physical scientific calculator
- Developers verifying the numerical output of mathematical functions in their code by running the same expression in this evaluator and comparing against the computed value to detect floating-point implementation errors
- Students solving calculus, physics, or electrical engineering problems step-by-step by defining intermediate variables and building up complex expressions from simpler computed sub-results
- Financial analysts computing compound interest, present value, NPV, and other financial formulas using the evaluator's support for exponentiation and variable definitions for principal, rate, and time period
- Data scientists and ML practitioners quickly evaluating activation function outputs, loss function derivatives, or normalization formulas during model design and debugging without running a full code cell