Answer:
To create an animation based on a real setting and characters
Explanation:
You can tell it's not only for children. It was not based on only one artist's idea and was created to be an animation based on Edith Macefield's house.
ccording to Anderson (2011, p.40), public policy cannot be studied in isolation from the environment or the context it occurs. Discuss critically factors influencing the formulation and implementation of the National Energy Policy​
The development and execution of the National Energy Policy are affected by a number of variables, including political, economic, social, technological, and environmental aspects, stakeholder interests, and resource availability, among others.
What are the top five characteristics of energy policy?The characteristics of energy policy may include laws, foreign agreements, financial incentives, directives for energy conservation, taxation, and other tools of public policy. Modern societies are fundamentally reliant on energy.
What are the primary goals of Indian energy policy?Our energy strategy has four main goals: increased affordability, increased security and independence, increased sustainability, and increased economic growth.
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Need help with Discussion Question 3
Answer:
The Gram-Schmidt process and the modified Gram-Schmidt process are two numerical methods for computing an orthonormal basis for a given set of vectors. An orthonormal basis is a set of vectors that are mutually orthogonal (perpendicular) and have a length of 1.
The Gram-Schmidt process involves iteratively orthogonalizing the original set of vectors, creating a new orthonormal basis. The modified Gram-Schmidt process is similar, but instead of orthogonalizing each vector with respect to all previous vectors, it orthogonalizes each vector with respect to the immediately preceding vector.
One advantage of the Gram-Schmidt process is that it is straightforward and easy to implement. However, it is prone to numerical instability when dealing with very large or very small vectors, which can lead to significant errors in the resulting orthonormal basis.
The modified Gram-Schmidt process is more stable numerically than the Gram-Schmidt process, making it less prone to errors. Additionally, it can be more efficient computationally. However, it is also more complex to implement than the Gram-Schmidt process, and it can be more difficult to analyze its numerical properties.
In summary, the Gram-Schmidt process is a simple and widely used method for computing an orthonormal basis, but it can suffer from numerical instability. The modified Gram-Schmidt process is a more stable and efficient alternative, but it is also more complex to implement and analyze.