... The initial condition problem for fractional **linear** system initialisation is studied in this paper. It is based on the generalised initial value theorem. The new approach involves functions belonging to the space ...

9

... This paper revisited some existing block and multiparameter CG algorithms in the new con- text of multi-thread computing, proposing a cooperative conjugate gradient (CCG) method for **linear** **systems** with ...

28

... In the previous sections the fractional **linear** **systems** were studied in a formal way very close to the ordinary. Strangely the notion of fractional derivative was intro- duced but a formal defintion was not ...

8

... In the previous sections the fractional **linear** **systems** were studied in a formal way very close to the ordinary. Strangely the notion of fractional derivative was intro- duced but a formal defintion was not ...

8

... order **linear** **systems** and modular numbers ...a **linear** system was built from two successive elements where the principle diagonal elements are imposed for value one, and the other represents the image ...

6

... hybrid **systems** in [21]; and the interested reader is referred to the recent survey in [22] for further ...for **linear** **systems** in order to quantify the impact of a given input on the state/output of ...

6

... Understanding the behavior of an infection network is typically addressed from either a microscopic or a macroscopic point-of-view. The trade-off is between following the individual states at some added complexity cost ...

35

... the **linear** **systems** (1) simultaneously, where the coefficient matrices and right-hand sides are ...a **linear** operator to connect all the **linear** **systems** (1) ...the **linear** operator ...

6

... The verified method for solving **linear** **systems** of equations is based on the enclosure theory and uses an interval Newton-like iteration and Brouwer´s fixed point theorem. It is composed by the computation ...

124

... for **linear** **systems** have made good progress in scientific and engi- neering ...of **linear** and nonlinear **systems** which arise from typical appli- ...

567

... make **linear** control **systems** configurable by adding auxiliary species to CRN as control ...implementing **linear** control **systems** in biochemistry can be made more ...the **linear** system to be ...

27

... Another advantage of this neural structure (figure no.3) is that it allows the determination of the neural models of the component sub-**systems**. The suggested neural structure can estimate the internal variables of ...

8

... Propagate it through time using the uncertainty set defined for all the unknown signals in the model.. Final set represents all possible end values of the state/output.[r] ...

19

... Throughout the paper, we assume that A = I − L − U , where I is the identity matrix, −L and −U are strictly lower triangular and strictly upper triangular matrices of A, respectively. Then the iteration matrix of the AOR ...

3

... We applied the deflated GMRESDR method proposed by Morgan in [17] at the resolution of the **linear** **systems** (7) and (8). The results were obtained using the program GMRESDR.m, kindly sent to us by R. Morgan ...

25

... physical **systems** solved using **linear** **systems** are very ...power **systems**, the matrices which represent transmission networks are very spar- ...

6

... a **linear** controller that achieves semi-global stabilization for null- controllable **linear** **systems** using state ...a **linear** controller that achieves pole ...continuous-time **linear** system ...

13

... Mode superposition methods in dynamic analysis of classically and non-classicaly damped linear systems.. Earthquake.[r] ...

136

... Fractal signals are introduced as output of special linear systems: fractional differaccumulators, systems that can be considered as having fractional poles or zeros.. [r] ...

8

... sparse **linear** **systems** of equations in a parallel environment, since, unlike methods based on orthogonalization (such as Conjugate Gradient) it does not require computing computation-intensive inner products ...

8