Donofrio Alberto (103 results)

Blanda. Condition: Bueno. Español.

Blanda. Condition: Bueno. Español.

blanda -. Condition: Buen estado. Dust Jacket Condition: Buen Estado.

blanda -. Condition: Buen estado. Dust Jacket Condition: Buen Estado.

xi, 398 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

blanda. Condition: New. Dust Jacket Condition: Nuevo.

Condition: New.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

blanda. Condition: New. Dust Jacket Condition: Nuevo.

Condition: New. In.

Condition: New. In.

Condition: New.

PF. Condition: New.

Condition: New.

Condition: New.

Condition: New. Editor(s): D'Onofrio, Alberto. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 301 pages, 48 black & white illustrations, 39 colour illustrations, 6 black & white tables, biograph. BIC Classification: PBT; PBW; PBWH; PDE; PHU; TBJ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 468. . 2016. Softcover reprint of the original 1st ed. 2013. paperback. . . . .

Condition: New. pp. 304.

Condition: New. Editor(s): D'Onofrio, Alberto. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 301 pages, 48 black & white illustrations, 39 colour illustrations, 6 black & white tables, biograph. BIC Classification: PBWH; PBWL; PH; PS; TBC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 645. . 2013. 2013th Edition. hardcover. . . . .

Condition: New. pp. 304.

Paperback. Condition: Brand New. reprint edition. 301 pages. 9.25x6.10x0.72 inches. In Stock.

Condition: New. pp. 304.

Condition: New. Editor(s): D'Onofrio, Alberto. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 301 pages, 48 black & white illustrations, 39 colour illustrations, 6 black & white tables, biograph. BIC Classification: PBT; PBW; PBWH; PDE; PHU; TBJ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 468. . 2016. Softcover reprint of the original 1st ed. 2013. paperback. . . . . Books ship from the US and Ireland.

Hardcover. Condition: Brand New. 2013 edition. 279 pages. 9.00x6.25x0.75 inches. In Stock.

Condition: New. Editor(s): D'Onofrio, Alberto. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 301 pages, 48 black & white illustrations, 39 colour illustrations, 6 black & white tables, biograph. BIC Classification: PBWH; PBWL; PH; PS; TBC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 645. . 2013. 2013th Edition. hardcover. . . . . Books ship from the US and Ireland.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 399 | Sprache: Englisch | Produktart: Bücher | The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.

Buch. Condition: Neu. Neuware -¿¿Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic stochastic fluctuations of a biological system that are caused by its interaction with the external world. Bounded Noises in Physics, Biology, and Engineering is the first contributed volumedevoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics.It gives an overview of the currentstate-of-the-art and isintended to stimulatefurther research.The volumeis organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded stochastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded stochastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded stochastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on stochastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis.Bounded Noises in Physics, Biology, and Engineering is intended for scientists working on stochasticprocesses with an interest in both fundamental issues and applications.It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. Itis accessible to anyonewith a working knowledge of stochastic modeling, from advanced undergraduates to senior researchers.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 304 pp. Englisch.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic stochastic fluctuations of a biological system that are caused by its interaction with the external world. Bounded Noises in Physics, Biology, and Engineering is the first contributed volume devoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics. It gives an overview of the current state-of-the-art and is intended to stimulate further research. The volume is organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded stochastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded stochastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded stochastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on stochastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis. Bounded Noises in Physics, Biology, and Engineering is intended for scientists working on stochasticprocesses with an interest in both fundamental issues and applications. It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. It is accessible to anyone with a working knowledge of stochastic modeling, from advanced undergraduates to senior researchers.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic stochastic fluctuations of a biological system that are caused by its interaction with the external world. Bounded Noises in Physics, Biology, and Engineering is the first contributed volume devoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics. It gives an overview of the current state-of-the-art and is intended to stimulate further research. The volume is organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded stochastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded stochastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded stochastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on stochastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis. Bounded Noises in Physics, Biology, and Engineering is intended for scientists working on stochasticprocesses with an interest in both fundamental issues and applications. It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. It is accessible to anyone with a working knowledge of stochastic modeling, from advanced undergraduates to senior researchers.

Condition: New. In.