In 10 commandments of scientific computing, (recursive) is where the task or job is spread out equally or task to be done can be finish using parallel computers.

10 commandments that says use tree structures instead of arrays is (modular). This means that you need to map the structure of your numerical analysis.

We can say that scientific computing is (interdisciplinary) because it can be used to address different issues in real-world as well as it produces multi-disciplinary results.

A (Hierachical) approach in the commandments of scientific computing is when the different parts of your model/numerical algorithm is decoupled into different module.

(Adaptive) approach in scientific commandments is when we used different tools to describe or present the ordered rank of each elements in numerical algorithm/model.

A (numerical) model is derived from a specific informal problem and was formalized by means of translating it into mathematical formulation.

In deriving mathematical model, we need to consider the relationship of quantities to describe how do they interact. This statement is not (False).

A discretization error that leads to error of the whole solution/formular is (global discretization error).

A (mathematical) model is then discretized and uses numerical methods to solved the resulting systems of equations.

(Cosistency) is where the treatment or solution tends to meet in a certain point.

(conditioned problems) is one problem in numerical methods for ODE which are errors in small solutions/or steps although the exact solution is smooth.

In creating mathematical model, it is not important to verify the solution or validate is if there are mistakes. This statements is not (False).