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What is the differences between dynamic risk and static risk?

Dynamic risk is subject to exposure of loss due to environmental changes such as change in inflation rate, technology, natural calamities, political upheaval. Static risk is subject to exposure of risk but not significantly affected by the business environment and remain constant such as fire, theft and misappropriation. Dynamic risk is not insurable whereas static risk is insurable.


Is willie dynamic or static?

Willie can be considered a dynamic character, as he undergoes significant development and change throughout his narrative. His experiences and interactions lead him to confront various challenges, ultimately shaping his beliefs and actions. This evolution highlights his adaptability and growth in response to the circumstances he faces.


Are the characters of king of screw ups static or dynamic?

In "King of Screw Ups" by K.L. Going, the characters are primarily dynamic, as they experience significant growth and change throughout the story. The protagonist, for instance, grapples with personal challenges and learns valuable lessons about responsibility and self-acceptance. This evolution is central to the narrative, showcasing how their experiences shape their identities and relationships. Overall, the characters' development highlights themes of redemption and personal growth.


Static friction is usually greater than?

kinetic friction


What is conclusion of dynamic programming?

The conclusion of dynamic programming is that it is an effective algorithmic technique used to solve complex problems by breaking them down into simpler subproblems and solving those subproblems just once, storing their solutions for future reference. This approach optimizes performance by avoiding redundant calculations and is particularly useful in optimization problems, such as those involving resource allocation, shortest paths, and sequence alignment. By leveraging overlapping subproblems and optimal substructure properties, dynamic programming can significantly reduce computational complexity compared to naive recursive methods.