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/* Computational Electromagnetics */
[[Image:Info_icon.png|40px]] Click here for a brief review of '''[[Maxwell's Equations]]'''.
 
[[Image:Info_icon.png|40px]] Click here to learn more about '''[[Maxwell%27s_Equations#Numerical_Techniques_for_Solving_Maxwell.27s_Equations | Numerical Techniques for Solving Maxwell's Equations]]'''.
Using a numerical method to solve a certain electromagnetic modeling problem typically involves a recurring sequence of steps:
A ubiquitous question surfaces very often in electromagnetic modeling: "Does one really need more than one simulation engine? A true challenge of electromagnetic modeling is the right choice of numerical technique for any given problem. Depending on the electrical length scales and physical nature of your problem, some modeling techniques may provide more accurate or computationally more efficient solutions than the others. Full-wave techniques provide the most accurate solution of [[Maxwell's Equations|Maxwell's equations]] in general. In the case of very large-scale problems, asymptotic methods sometimes offer the only practical solution. On the other hand, static or quasi-static methods may provide more stable solutions for extremely small-scale problems. Having access to multiple simulation engines in a unified modeling environment provides many advantages beyond getting the best solver for your particular problem. Some complex problems involve dissimilar length scales which cannot be compromised in favor of one or another. In such cases, a hybrid simulation using different techniques for different parts of the larger problem can lead to a reasonable solution.
 
{{Note|[[EM.Tempo]] is [[EM.Cube]]'s general-purpose EM simulator than can handle most types of modeling problems involving arbitrary geometries and complex material variations in both time and frequency domains.}}
== An Overview of EM.Cube's Numerical Solvers ==
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