Advanced Equations calculators
This category holds solvers that go beyond a standard algebra course: quartic equations, three-variable linear systems, exponential and logarithmic equations, partial fraction decomposition, piecewise functions, the discrete Fourier transform, linear programming with the simplex method, and queuing theory. They are aimed at college math, engineering and operations research problems.
8 tools · Updated October 21, 2026
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Higher-degree equations and linear systems
Quartic equations are the highest degree with a general solution in radicals; beyond degree four, the Abel-Ruffini theorem shows no such general formula exists. The Quartic Equation Solver returns all four roots, real and complex, which is useful in mechanics and optics where quartics arise naturally.
A system of three linear equations has a unique solution, no solution or infinitely many, depending on whether the equations are independent and consistent. The 3-Variable System of Equations Solver uses elimination and reports which case applies, so you can tell a contradictory system from a dependent one.
Rewriting functions to make them workable
Partial fraction decomposition rewrites a rational function as a sum of simpler fractions. It is the standard step before integrating rational functions or taking inverse Laplace transforms, and the Partial Fraction Decomposition Calculator handles linear, repeated and irreducible quadratic factors.
Exponential and logarithmic equations are solved by taking logs of both sides or by rewriting a log equation in exponential form. Always check the domain afterward, since a logarithm of zero or a negative number is undefined. Piecewise functions, such as tax brackets or shipping rates, need each rule applied only on its own interval, which the Piecewise Function Calculator evaluates and graphs.
Optimization, queues and spectra
Linear programming finds the best value of a linear objective subject to linear constraints, such as maximizing profit from limited labor and materials. The optimum always lies at a corner of the feasible region, and the simplex method moves between corners until it cannot improve. The Simplex Method Calculator shows each tableau so you can follow the pivots.
Queuing theory predicts waiting times and queue lengths from the arrival rate and service rate. The key quantity is utilization: as it approaches 100%, waits grow very quickly, which is why a service that is busy most of the time can still have long lines. The Discrete Fourier Transform Calculator, meanwhile, breaks a sampled signal into the frequencies it contains.