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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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eBook – Jackson – NPI EA (cat=Jackson)
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Course – LS – NPI EA (cat=Jackson)
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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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1. Overview

In this article, we’ll see how to compute the solutions of a quadratic equation in Java. We’ll start by defining what a quadratic equation is, and then we’ll compute its solutions whether we work in the real or the complex number system.

2. The Solutions of a Quadratic Equation

Given real numbers a ≠ 0, b and c, let’s consider the following quadratic equation: ax² + bx + c = 0.

2.1. The Roots of a Polynomial

The solutions of this equation are also called the roots of the polynomial ax² + bx + c. Thus, let’s define a Polynom class. We’ll throw an IllegalArgumentException if the a coefficient is equal to 0:

public class Polynom {

    private double a;
    private double b;
    private double c;

    public Polynom(double a, double b, double c) {
        if (a==0) {
            throw new IllegalArgumentException("a can not be equal to 0");
        }
        this.a = a;
        this.b = b;
        this.c = c;
    }

    // getters and setters
}

We’ll solve this equation in the real number system: for this, we’ll look for some Double solutions.

2.2. Complex Number System

We’ll also show how to solve this equation in the complex number system. There is no default representation of a complex number in Java, so we’ll create our own. Let’s give it a static method ofReal to easily convert real numbers. This will be helpful in the following steps:

public class Complex {

    private double realPart;
    private double imaginaryPart;

    public Complex(double realPart, double imaginaryPart) {
        this.realPart = realPart;
        this.imaginaryPart = imaginaryPart;
    }

    public static Complex ofReal(double realPart) {
        return new Complex(realPart, 0);
    }

    // getters and setters
}

3. Calculate the Discriminant

The quantity Δ = b² – 4ac is called the discriminant of the quadratic equation. To calculate b squared in java, we have two solutions:

  • multiply b by itself
  • use Math.pow to raise it to the power of 2

Let’s stick with the first method and add a getDiscriminant method to the Polynom class:

public double getDiscriminant() {
    return b*b - 4*a*c;
}

4. Get the Solutions

Depending on the value of the discriminant, we’re able to know how many solutions exist and compute them.

4.1. With a Strictly Positive Discriminant

If the discriminant is strictly positive, the equation has two real solutions, (-b – √Δ) / 2a and (-b + √Δ) / 2a:

Double solution1 = (-polynom.getB() - Math.sqrt(polynom.getDiscriminant())) / (2 * polynom.getA());
Double solution2 = (-polynom.getB() + Math.sqrt(polynom.getDiscriminant())) / (2 * polynom.getA());

If we work in the complex number system, we then just need to make the conversion:

Complex solution1 = Complex.ofReal((-polynom.getB() - Math.sqrt(polynom.getDiscriminant())) / (2 * polynom.getA()));
Complex solution2 = Complex.ofReal((-polynom.getB() + Math.sqrt(polynom.getDiscriminant())) / (2 * polynom.getA()));

4.2. With a Discriminant Equal to Zero

If the discriminant is equal to zero, the equation has a unique real solution -b / 2a:

Double solution = (double) -polynom.getB() / (2 * polynom.getA());

Similarly, if we work in a complex number system, we’ll transform the solution in the following way:

Complex solution = Complex.ofReal(-polynom.getB() / (2 * polynom.getA()));

4.3. With a Strictly Negative Discriminant

If the discriminant is strictly negative, the equation has no solution in the real number system. However, it can be solved in the complex number system: the solutions are (-b – i√-Δ) / 2a and its conjugate (-b + i√-Δ) / 2a:

Complex solution1 = new Complex(-polynom.getB() / (2* polynom.getA()), -Math.sqrt(-polynom.getDiscriminant()) / 2* polynom.getA());
Complex solution2 = new Complex(-polynom.getB() / (2* polynom.getA()), Math.sqrt(-polynom.getDiscriminant()) / 2* polynom.getA());

4.4. Gather the Results

To sum up, let’s build a method that will fill in a List with the solutions of the equation when they exist. In the real number system, this method looks like this:

public static List<Double> getPolynomRoots(Polynom polynom) {
    List<Double> roots = new ArrayList<>();
    double discriminant = polynom.getDiscriminant();
    if (discriminant > 0) {
        roots.add((-polynom.getB() - Math.sqrt(discriminant)) / (2 * polynom.getA()));
        roots.add((-polynom.getB() + Math.sqrt(discriminant)) / (2 * polynom.getA()));
    } else if (discriminant == 0) {
        roots.add(-polynom.getB() / (2 * polynom.getA()));
    }
    return roots;
}

If we work in a complex number system, we’ll rather write:

public static List<Complex> getPolynomRoots(Polynom polynom) {
    List<Complex> roots = new ArrayList<>();
    double discriminant = polynom.getDiscriminant();
    if (discriminant > 0) {
        roots.add(Complex.ofReal((-polynom.getB() - Math.sqrt(discriminant)) / (2 * polynom.getA())));
        roots.add(Complex.ofReal((-polynom.getB() + Math.sqrt(discriminant)) / (2 * polynom.getA())));
    } else if (discriminant == 0) {
        roots.add(Complex.ofReal(-polynom.getB() / (2 * polynom.getA())));
    } else {
        roots.add(new Complex(-polynom.getB() / (2* polynom.getA()), -Math.sqrt(-discriminant) / 2* polynom.getA()));
        roots.add(new Complex(-polynom.getB() / (2* polynom.getA()), Math.sqrt(-discriminant) / 2* polynom.getA()));
    }
    return roots;
}

5. Conclusion

In this tutorial, we’ve seen how to solve a quadratic equation in Java, whether we work with real or complex numbers.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=REST)

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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Course – Summer Sale 2026 – NPI (All)
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eBook Jackson – NPI EA – 3 (cat = Jackson)