mathematical modeling for the life sciences universitext

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Mathematical Modeling For The Life Sciences

Author : Jacques Istas
ISBN : 9783540278771
Genre : Mathematics
File Size : 32. 15 MB
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Provides a wide range of mathematical models currently used in the life sciences Each model is thoroughly explained and illustrated by example Includes three appendices to allow for independent reading

Mathematics And Life Sciences

Author : Alexandra V. Antoniouk
ISBN : 9783110288537
Genre : Mathematics
File Size : 43. 68 MB
Format : PDF
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The book provides a unique collection of in-depth mathematical, statistical, and modeling methods and techniques for life sciences, as well as their applications in a number of areas within life sciences. It also includes a range of new ideas that represent emerging frontiers in life sciences where the application of such quantitative methods and techniques is becoming increasingly important. The book is aimed at researchers in academia, practitioners and graduate students who want to foster interdisciplinary collaborations required to meet the challenges at the interface of modern life sciences and mathematics.

Stochastic Modeling

Author : Nicolas Lanchier
ISBN : 9783319500386
Genre : Mathematics
File Size : 49. 54 MB
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Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks. In this coverage the reader is quickly introduced to several different topics enriched with 175 exercises which focus on real-world problems. Exercises range from the classics of probability theory to more exotic research-oriented problems based on numerical simulations. Intended for graduate students in mathematics and applied sciences, the text provides the tools and training needed to write and use programs for research purposes. The first part of the text begins with a brief review of measure theory and revisits the main concepts of probability theory, from random variables to the standard limit theorems. The second part covers traditional material on stochastic processes, including martingales, discrete-time Markov chains, Poisson processes, and continuous-time Markov chains. The theory developed is illustrated by a variety of examples surrounding applications such as the gambler’s ruin chain, branching processes, symmetric random walks, and queueing systems. The third, more research-oriented part of the text, discusses special stochastic processes of interest in physics, biology, and sociology. Additional emphasis is placed on minimal models that have been used historically to develop new mathematical techniques in the field of stochastic processes: the logistic growth process, the Wright –Fisher model, Kingman’s coalescent, percolation models, the contact process, and the voter model. Further treatment of the material explains how these special processes are connected to each other from a modeling perspective as well as their simulation capabilities in C and MatlabTM.

Introduction To Data Mining For The Life Sciences

Author : Rob Sullivan
ISBN : 9781597452908
Genre : Science
File Size : 67. 37 MB
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Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.

Newsletter

Author : New Zealand Mathematical Society
ISBN : UOM:39015060913897
Genre : Mathematics
File Size : 89. 43 MB
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Non Life Insurance Mathematics

Author : Thomas Mikosch
ISBN : 9783540882336
Genre : Mathematics
File Size : 56. 29 MB
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"Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties....The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik

Discrete Mathematical Models With Applications To Social Biological And Environmental Problems

Author : Fred S. Roberts
ISBN : UOM:39015003716993
Genre : Mathematics
File Size : 38. 47 MB
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Mathematical models; Graphs; Applications of graphs; Weighted digraphs and pulse processes; Markov chains; n-Person games; Group decisionmaking; Measurement and utility; Index.

Introduction To Mathematical Methods In Bioinformatics

Author : Alexander Isaev
ISBN : 9783540484264
Genre : Science
File Size : 63. 81 MB
Format : PDF, Kindle
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This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.

Books In Print

Author :
ISBN : STANFORD:36105210120585
Genre : American literature
File Size : 35. 74 MB
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International Books In Print

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ISBN : UOM:39015040083787
Genre : English imprints
File Size : 83. 51 MB
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