Do you want to work on mathematically-focused problems, solve larger systems, and develop algorithms? Check out Maple

**Maple Flow provides a freeform, paper-like, calculation environment.**

- Do calculations in readable, natural math notation, with full support for units, and easy-to-use solvers

- Create immersive, engaging design reports with text, equations, images and plots

- Generate attractive plots and charts

Maple Flow lets you do Worst-Case circuit analysis of components in electric circuits. **You can implement these techniques:**

**Extreme value analysis (EVA)**- The behaviour of a circuit is simulated for every permutation of extreme component parameters. E.g., a resistor of 5 Ω ± 5% is simulated at 4.75 Ω and 5.25 Ω, in combination with every permutation of extreme values for all other components.
- Both symmetric and asymmetric tolerances can be implemented.

**Monte Carlo Analysis (MCA)**- Parameters are randomly selected from a distribution, and the circuit simulated, anywhere from 1000 to 100000 times
- You can generate histograms, calculate the minimum and maximum values, view the statistical distribution of the results and more.

**Sensitivity analysis (SA)**- You can calculate the symbolic or numeric partial derivatives of the circuit with respect to each component parameter. These can be used to perturb the circuit equations
- You can analyse the frequency-dependent behaviour with phase and magnitude plots.

**Root-sum-square (RSS) analysis**- This uses a statistical approach, assuming that most of the components fall to the mid of the tolerance zone rather than at the extremes.

**Optimization**- You can optimize the circuit equations by varying the component values within a specific range.

You can also symbolically derive circuit equations, by applying Kirchoff’s current and voltage laws. The resulting equations can be symbolically rearranged and simplified. If the equations are transfer functions, you can generate phase and magnitude plots from the transfer functions.

Given the results, circuits can be redesigned to minimize failures due to parameter variations (or an initially overdesigned circuit could be made cheaper to manufacture with less costly components that have a broader parameter distribution).

Some components will have a greater influence over the circuit functional performance than others. Power supplies, connectors and interfaces are expected to vary outputs even in normal operation, but every component has a contributing effect. **Sensitivity Analysis (SA)** is used to find how much a particular circuit characteristic varies as the component input values change. The results shape design specifications of the circuit and can be used to highlight which parts should be prioritized for quality assurance or for additional testing.

Electrical components (such as resistors and capacitors) are manufactured in large quantities. Inconsistencies in raw materials or processing quality can affect component performance. Given the number of components in a circuit and the distribution of their parameters, the circuit may not perform as specified. This risk must be identified, managed and mitigated early in the design process.

The performance fluctuation may have a statistical distribution (e.g., the resistance of a batch of resistors might be described by a normal distribution). Engineers can use the computational power of Maple Flow to perform **Root-Sum-Square (RSS) or Monte Carlo Analysis** to evaluate the part tolerances and pin down the margins within the circuit design.

Maple Flow is the ideal tool for compiling the circuit design considerations. Equations and plots can be added alongside design notes using the flexible paper-like worksheet. Prominent design sections such as safety thresholds, material performance properties, and assumptions about aging and environmental conditions can be clearly presented to create a polished, professional technical document.