F. G. Brotchie has written:

'An optimization approach to viscous damping of structures'

The term cloud optimization refers to maximizing efficiency by selecting and allocating resources to a workload on the cloud. It has a multi-prong approach where Rapyder looks at 200+ parameters that could affect the present and future of any business infrastructure, platforms, applications, etc.

There are many Cloud Optimization services such as Cost, performance, security, Downtime, Visibility and many more.

To understand all the cloud optimization services in detail visit the article

An optimization is what is compiled by an optimization compiler.

An optimization compiler compiles optimizations.

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Optimization is a process of maximizing or minimizing a function by finding its best output. It involves defining a problem, setting objectives and constraints, choosing decision variables, formulating an objective function, and then solving the problem using various optimization techniques like linear programming, gradient descent, or genetic algorithms. The structure of optimization depends on the specific problem being addressed and the approach taken to find the optimal solution.

essential diffrence between global and local optimization