eq

R2026b

Laurent polynomials or Laurent matrices equality test

Syntax

tf = eq(A,B)

tf = (A == B)

Description

tf = eq(A,B) compares the pair of Laurent polynomials or Laurent matrices A and B and returns 1 (true) if the two are identical and 0 (false) otherwise.

Note

The laurentPolynomial and laurentMatrix objects have their own versions of eq. The input data type determines which version is executed.

tf = (A == B) is equivalent to tf = eq(A,B).

Examples

Test Equality of Laurent Polynomials

Create two Laurent polynomials:

• $$a(z)=2z^3-3z^2+4z-5$$

• $$b(z)=4z^3-6z^2+8z$$

a = laurentPolynomial(Coefficients=[2 -3 4 -5],MaxOrder=3);
b = laurentPolynomial(Coefficients=[4 -6 8],MaxOrder=3);

Confirm $$a(z)$$ and $$b(z)$$ are not equal.

a ~= b

ans = logical
   1

Confirm $$2a(z)+10$$ and $$b(z)$$ are equal.

c = rescale(a,2)+10;
eq(c,b)

ans = logical
   1

Input Arguments

A — Laurent polynomial or Laurent matrix

laurentPolynomial object | laurentMatrix object

Laurent polynomial or Laurent matrix, specified as a laurentPolynomial object or a laurentMatrix object, respectively.

B — Laurent polynomial or Laurent matrix

laurentPolynomial object | laurentMatrix object

Laurent polynomial or Laurent matrix, specified as a laurentPolynomial object or a laurentMatrix object, respectively.

Output Arguments

tf — Equality test result

true or 1 | false or 0

Equality test result, returned as a numeric or logical 1 (true) or 0 (false).

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

The eq function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

Version History

Introduced in R2021b

R2026b: Use thread-based environments

You can use eq in thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.