Following are the various algorithms time complexities expressions. Find the dominant terms and specify the Big-Oh complexity of each algorithm. S. No. Expression Dominant term(s) O (. . .) 1. 75 + 0.001n1.3 + 0.025n + (1000)4     2. 500n + 100n + 50n log10 n     3. (10n1.5)4 + 0.3n + 5n6.5 + 2.5 · n2.75     4. 150n3 + n2 log2 n + n(log2 n)4     5. 3 log10 n + log2 log2 n     6. 100n4 + 0.01n2 + 200(log2 n)4     7. n3 + 0.01n + 100n2 + 5n3     8. 2n0.5 + n0.35 + 0.5n0.25     9. 0.01n2 log2 n + n(log2 n)     10. 50n3 log3 n + n5 log3 n + 100n4

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Computational Systems

The computation systems can be defined as the systems that are capable of solving a problem that includes calculations either mathematical or logical, and are able to produce the result as an output. For example, a simple calculator that is given a set of numbers and operators as input and produces the result as an output can be defined as a computational system. The above example is a simple illustration only, the computational systems range from simple devices to complex devices such as the systems that control the SpaceX companies, Starlink satellites which are being quite recently seen in the skies at many places globally.