Sentence examples for make derivations from inspiring English sources

The phrase "make derivations" is correct and usable in written English
It can be used in contexts involving mathematics, logic, or any field where conclusions or results are drawn from established principles or rules. Example: "In order to solve the equation, we need to make derivations based on the given variables."

Exact(2)

To make derivations possible, the asymptotic regime, where all the system dimensions grow to infinity with a constant pace, has been considered.

To make derivations possible while keeping realistic conditions, we will relax the assumption of finite size dimensions by allowing the space and time dimensions to grow to infinity at the same rate.

Similar(58)

Generative syntax was originally developed based on phrase structure trees as the exclusive syntactic data structure, which made derivations transforming one tree into another the key mechanism for expressing syntactic relations and dependencies.

In a previous study [ 10] we made derivations under the Risch model and for the parameter combinations considered the probability of disease being greater than 1 was rare.

This makes derivation of the distance distribution already complicated for only one TF.

In this paper, we make several derivations to achieve the more general CDF approximation of the PAPR in the sense that transmitted symbols can be carried by any family of functions.

Finally, an axiom or transformation rule is independent (in a given axiomatic system) if it cannot be derived from the remainder of the axiomatic basis (or which comes to the same thing if its omission from the basis would make the derivation of certain theorems impossible).

These assumptions are just to make the derivation easy to follow.

Here, we ignore the influence of the error e t,l) to make the derivation in the following sample.

To make the derivation of the probability of error easier, we can refer to the so-called sign-adjusted decision variables [10] defined as follows: and.

The random sizes of the subvectors that are associated with the random parameter make the derivation of the CRLBs for all estimates very complicated.

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