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Next, we overload the multiplication operation in the class to define how multiplication between quaternions occurs: def_mul_(self, other: Quaternion) : $\mathrm{v} 1=$ pygame.Vector3(self.x, self.y, self.z) $\mathrm{v} 2$ = pygame.Vector3 (other.x, other.y, other.z) $\operatorname{cross}=\mathrm{v} 1 \cdot \operatorname{cross}(\mathrm{v} 2)$ $\operatorname{dot}=\mathrm{v} 1 \cdot \operatorname{dot}(\mathrm{v} 2)$ $\mathrm{v} 3=$ cross $+($ self.w * $\mathrm{v} 2)+($ other.w * v1) result $=$ Quaternion (vector $=($ self $\cdot w$ * other.w - dot, v3.x, v3.y, v3.z)) return result

   Next, we overload the multiplication operation in the class to define how multiplication between quaternions occurs:
def_mul_(self, other: Quaternion) :
$\mathrm{v} 1=$ pygame.Vector3(self.x, self.y, self.z)
$\mathrm{v} 2$ = pygame.Vector3 (other.x, other.y, other.z)
$\operatorname{cross}=\mathrm{v} 1 \cdot \operatorname{cross}(\mathrm{v} 2)$
$\operatorname{dot}=\mathrm{v} 1 \cdot \operatorname{dot}(\mathrm{v} 2)$
$\mathrm{v} 3=$ cross $+($ self.w * $\mathrm{v} 2)+($ other.w * v1)
result $=$ Quaternion (vector $=($ self $\cdot w$ *
other.w - dot,
v3.x, v3.y, v3.z))
return result
Show more…
Mathematics for Game Programming and Computer Graphics: Explore the essential mathematics for creating, rendering, and manipulating 3D virtual environments
Mathematics for Game Programming and Computer Graphics: Explore the essential mathematics for creating, rendering, and manipulating 3D virtual environments
Penny de Byl 1st Edition
Chapter 16, Problem 3 ↓

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Step 1: Define the method def_mul_ in the Quaternion class to overload the multiplication operation.  Show more…

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Next, we overload the multiplication operation in the class to define how multiplication between quaternions occurs: def_mul_(self, other: Quaternion) : $\mathrm{v} 1=$ pygame.Vector3(self.x, self.y, self.z) $\mathrm{v} 2$ = pygame.Vector3 (other.x, other.y, other.z) $\operatorname{cross}=\mathrm{v} 1 \cdot \operatorname{cross}(\mathrm{v} 2)$ $\operatorname{dot}=\mathrm{v} 1 \cdot \operatorname{dot}(\mathrm{v} 2)$ $\mathrm{v} 3=$ cross $+($ self.w * $\mathrm{v} 2)+($ other.w * v1) result $=$ Quaternion (vector $=($ self $\cdot w$ * other.w - dot, v3.x, v3.y, v3.z)) return result
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Key Concepts

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Vector Dot Product
The vector dot product is a scalar value representing the product of two vectors' magnitudes and the cosine of the angle between them. In quaternion multiplication, the dot product is used to combine the scalar contribution of the vector parts, helping to determine the scalar component of the resulting quaternion.
Operator Overloading
Operator overloading is the process of redefining the way operators work with user-defined types. In object-oriented programming languages, it allows developers to specify custom behavior for standard operators (such as +, -, *) when they are applied to instances of a class, enhancing code readability and enabling intuitive mathematical operations on complex data types.
Quaternion Multiplication
Quaternion multiplication, also known as the Hamilton product, is a non-commutative operation used to combine two quaternions. It involves both the scalar (real) and vector (imaginary) parts of the quaternions, and its formulation typically uses vector dot and cross products to combine these components. This operation is fundamental in representing rotations and orientations in three-dimensional space.
Vector Cross Product
The vector cross product is a binary operation on two three-dimensional vectors, resulting in another vector which is perpendicular to the plane containing the original vectors. In the context of quaternion multiplication, the cross product is used to combine the vector parts, contributing to the rotational aspects of the operation.

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