Titlebook: Mathematical Systems Theory in Biology, Communications, Computation and Finance; Joachim Rosenthal,David S. Gilliam Conference proceedings

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書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance影響因子(影響力)




書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance影響因子(影響力)學科排名




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書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance網(wǎng)絡公開度學科排名




書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance被引頻次




書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance被引頻次學科排名




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書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance年度引用學科排名




書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance讀者反饋




書目名稱Mathematical Systems Theory in Biology, Communications, Computation and Finance讀者反饋學科排名

密切關系

Crystalline Stochastic Systems and Curvature Driven Flows,to be useful for a number of applications including crystal growth, flame propagation, and computer vision. In this paper, we describe a random particle system, evolving on the discretized unit circle, whose profile converges toward the Gauss-Minkowsky transformation of solutions of curve shortening

臭名昭著

Overdetermined Multidimensional Systems: State Space and Frequency Domain Methods,at the value of the state at a given point be independent of the path from the origin chosen to arrive at the given point leads to nontrivial consistency conditions: the transient evolutions (i.e., state evolution with zero inputs) should commute, and the input signal (and then also the output signa

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A State Space Approach to Control of Interconnected Systems,s as fractional transformations on temporal and spatial operators, many standard results in control — such as the bounded real lemma, H-infinity optimization, and robustness analysis — can be generalized accordingly. The state space formulation yields conditions that can be expressed as linear matri

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A Dynamical System Approach to Matrix Eigenvalue Algorithms,obal analysis. These methods are used to reproduce well-known results as well as develop new efficient algorithms. The methodology is universal in the sense that the convergence analysis of a wide class of algorithms can be treated in exactly the same way.

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