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Polynomial Equation Solver

Find roots, zeros, and solutions for quadratic, cubic, and higher-degree polynomials with interactive visualization.

Select a pre-defined equation to see how it works

= 0

Use ^ for powers (e.g., x^2) and * for multiplication (e.g., 5*x).

📊 Graph will appear here

Enter an equation and click "Solve & Graph"

This maths solver is part of our broader maths category designed for Algebra Students, Algorithm Developers, and Control Systems Engineers (and for everyone else who needs to solve higher degree polynomial equations quickly).

Related Calculators

Advanced Polynomial Equation Solver

A polynomial equation is an algebraic expression consisting of variables and coefficients, involving only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables. Finding the roots (or zeros) of these equations is a foundational task in mathematics. Our Polynomial Solver is a high-precision maths solver built to handle equations of any degree.

From the simple quadratic equations taught in early algebra to the complex quintic and higher-degree polynomials used in modern engineering, this tool provides instant solutions and graphical visualizations. As defined by Britannica, the highest power of the variable determines the "degree" of the polynomial.

The Fundamental Theorem of Algebra

A key principle in our solver's logic is the Fundamental Theorem of Algebra, which states that every non-zero, single-variable polynomial of degree n has exactly n complex roots. Our tool identifies both real and imaginary components, ensuring a complete mathematical picture.

Solving by Degree

Quadratic (Degree 2)

Standard form: ax² + bx + c = 0

Solved using the classic quadratic formula.

Cubic (Degree 3)

Standard form: ax³ + bx² + cx + d = 0

Solved using Cardano's method for complex components.

Practical Use Cases

Polynomials are widely used in a variety of scientific fields. For instance, in Physics, the trajectory of a projectile under gravity is a quadratic polynomial. In Economics, cost and revenue functions are modeled as high-degree polynomials to account for fluctuating scales. Research from NIST frequently applies polynomial modeling in materials science.