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of Physical and Biological Processes provides students with a fundamental understanding of how mathematics is applied to problems in science and;
Vergelijkbare producten zoals Mathematical and Experimental Modeling of Physical and Biological Processes
The main concern of the book is analysis of biological processes, the final stage of which is mathematical modeling, i.e. quantitative;
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Mathematical Models for Physical and Biological Nanoscale Systems and their Applications, who explore various aspects of the analysis, modeling and;
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sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios.
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Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken;
Vergelijkbare producten zoals Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities
This book on mathematical modeling of biological processes includes a wide selection of biological topics that demonstrate the power;
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metallurgical processes and phenomena. Topics represented include but are not limited to: * Experimental, analytical, physical, and computer;
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, physical, and electrical engineering principles and experimental results concerning how electric and magnetic fields affect biological systems-both;
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physical and mathematical analysis of transport phenomena associated with food processing. The models presented describe many of the important;
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physical and mathematical analysis of transport phenomena associated with food processing. The models presented describe many of the important;
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, computational bioengineering and molecular biophysics. It is the first textbook to apply rigorous physical chemistry principles to mathematical and;
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, computational bioengineering and molecular biophysics. It is the first textbook to apply rigorous physical chemistry principles to mathematical and;
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of mechanisms for modeling and integrating biological stages into different industrial processes. The book essentially covers the physical;
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application oriented chapter on how stochastic modeling throws light on physical sciences. Basics on branching processes and their applications are;
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biological research. A wide range of emerging theoretical and experimental mathematical methodologies are offered by biological topic to appeal to;
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mathematical and statistical techniques to the optimization of biological systems.;
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complex problems linked to biological questions. Features: Provides the full, modern physical science toolbox of experimental and;
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physical feel for their relations to processes, and confidence in working with mathematical solutions. The goal of this book, in essence, is to;
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formulation of problems in biomedical engineering and the life sciences through the adoption of mathematical models based on physical principles, such;
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mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to;
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of biological systems requires the development of adequate mathematical models for the simulation of the evolution of these systems in space and time;
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and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes;
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tissue/elastic structure, shock wave and bubble dynamics and various applications like biological treatments with experimental verification;
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of steady-state regimes * Closed mathematical models of one-dimensional fluid and gas flows * Dimensional theory * Physical modeling of phenomena;
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experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the;
Vergelijkbare producten zoals Computational and Experimental Simulations in Engineering
experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the;
Vergelijkbare producten zoals Computational and Experimental Simulations in Engineering
and analyzing biological systems, in particular cellular systems. It shows how to use predictive mathematical models to acquire and analyze;
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