This calculator will add vectors in either two or three dimensions, displaying step-by-step calculations.
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This free vector addition calculator allows you to calculate the sum of two vectors (with or without multiples) in both 2D and 3D coordinate systems.
“A quantity that is represented by both magnitude and direction is known as a vector.”

Vectors can be represented in terms of coordinates or multiples of coordinates. Here are the common formulas for vector addition:
(a,b) + (d,e) = (a + d, b + e)
(a,b,c) + (d,e,f) = (a + d, b + e, c + f)
Our free vector addition calculator uses these formulas to perform accurate vector sum calculations.
If a vector appears multiple times, you can multiply it before adding. For example:
a + 2b means adding vector a to two copies of vector b.
This method allows adding vectors geometrically without coordinates. To add vectors a and b:

This method is another graphical approach and is considered highly reliable. To use it:

Vector subtraction can be performed by adding the negative of a vector. If a is a vector, then -a has the same magnitude but opposite direction:
a - a = a + (-a)

Let’s add two vectors:
Vector A = (1, 4)
Vector B = (6, 8)
Solution:
Vector A + Vector B = (1 + 6, 4 + 8) = (7, 12)
You can verify this instantly using our free vector addition calculator.
Input:
Output:
Vectors are used to analyze forces in real-life scenarios, such as a boat’s engine applying force against water currents. Tools like a vector projection calculator help calculate precise results.
Vectors are essential for calculating forces, torque, work, and other physical quantities. This calculator helps engineers quickly analyze vector sums and differences accurately.
The magnitude of a vector is the length from its start to end point, represented as:
Vector Magnitude = |v|
You can also use a vector magnitude calculator to compute it quickly.
Vector addition and subtraction are fundamental in science and engineering. Use this free 2D and 3D vector addition calculator for fast, accurate calculations in vector arithmetic.
From Wikipedia: Euclidean vector, affine vectors, decomposition, scalar multiplication
From Khan Academy: Add and subtract vectors
From Lumen Learning: Graphical Methods in 2D
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