1. Any linear network with entirely disjoint parts will have an indeterminate solution. 2. Secondly, the small signal characteristics of the circuit are analysed using linear network analysis. 3. These dependencies must be preserved when developing the equations in a larger linear network analysis. 4. More robust methods have been explored, such as branch and bound and piecewise linear network . 5. The number of equivalent circuits that a linear network can be transformed into is unbounded. 6. Random linear network codes have a high overhead due to the large coefficient vectors attached to encoded blocks. 7. However, in Cooperative-MIMO radio, MIMO decoding already employs similar, if not identical, methods as random linear network decoding. 8. Under a set of these specific conditions, the non-linear device can be represented by an equivalent linear network . 9. Comparatively, linear networks are an experimental view of analyzing a neural system by placing neurons in series with each other. 10. A "'food chain "'is a linear network of links in a food web starting from one animal at a time.
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