Mathematical Modelling in Plant Biology

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Release : 2018-11-05
Genre : Science
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Book Rating : 705/5 ( reviews)

Mathematical Modelling in Plant Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Modelling in Plant Biology write by Richard J. Morris. This book was released on 2018-11-05. Mathematical Modelling in Plant Biology available in PDF, EPUB and Kindle. Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations. This book is aimed at postgraduate students and researchers working the field of plant systems biology and synthetic biology, but will also be a useful reference for anyone wanting to get into quantitative plant biology.

Mathematical Models in Agriculture

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Release : 2007
Genre : Technology & Engineering
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Book Rating : 10X/5 ( reviews)

Mathematical Models in Agriculture - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Models in Agriculture write by J. H. M. Thornley. This book was released on 2007. Mathematical Models in Agriculture available in PDF, EPUB and Kindle. Role of mathematical models; Dynamic deterministic models; Mathematical programming; Basic biological processes; Growth functions; Simple dynamic growth models; Simple ecological models; Envinment and weather; Plant and crop processes; Crop models; Crop husbandry; Plant diseases and pests; Animal processes; Animal organs; Whole-animal models; Animal products; Animal husbandry; Animal diseases; Solutions exercises; Mathematical glossary.

Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

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Release : 2020-04-15
Genre : Science
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Book Rating : 959/5 ( reviews)

Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities write by Rebecca Sanft. This book was released on 2020-04-15. Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities available in PDF, EPUB and Kindle. Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and on the computer. As a beginning text in modeling, readers will learn to value the approach and apply competencies in other settings. Included case studies focus on building a model to solve a particular biological problem from concept and translation into a mathematical form, to validating the parameters, testing the quality of the model and finally interpreting the outcome in biological terms. The book also shows how particular mathematical approaches are adapted to a variety of problems at multiple biological scales. Finally, the labs bring the biological problems and the practical issues of collecting data to actually test the model and/or adapting the mathematics to the data that can be collected. Presents a single volume on mathematics and biological examples, with data and wet lab experiences suitable for non-experts Contains three real-world biological case studies and one wet lab for application of the mathematical models Includes R code templates throughout the text, which are also available through an online repository, along with the necessary data files to complete all projects and labs

Mathematical Models in Biology

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Release : 2004
Genre : Mathematics
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Book Rating : 862/5 ( reviews)

Mathematical Models in Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Models in Biology write by Elizabeth Spencer Allman. This book was released on 2004. Mathematical Models in Biology available in PDF, EPUB and Kindle. This introductory textbook on mathematical biology focuses on discrete models across a variety of biological subdisciplines. Biological topics treated include linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction, genetics, and infectious disease models. The coverage of models of molecular evolution and phylogenetic tree construction from DNA sequence data is unique among books at this level. Computer investigations with MATLAB are incorporated throughout, in both exercises and more extensive projects, to give readers hands-on experience with the mathematical models developed. MATLAB programs accompany the text. Mathematical tools, such as matrix algebra, eigenvector analysis, and basic probability, are motivated by biological models and given self-contained developments, so that mathematical prerequisites are minimal.

Explorations of Mathematical Models in Biology with MATLAB

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Release : 2013-12-24
Genre : Science
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Book Rating : 531/5 ( reviews)

Explorations of Mathematical Models in Biology with MATLAB - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explorations of Mathematical Models in Biology with MATLAB write by Mazen Shahin. This book was released on 2013-12-24. Explorations of Mathematical Models in Biology with MATLAB available in PDF, EPUB and Kindle. Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MATLAB, to focus more on building and analyzing models as opposed to configuring tedious calculations. Explorations of Mathematical Models in Biology with MATLAB provides an introduction to model creation using MATLAB, followed by the translation, analysis, interpretation, and observation of the models. With an integrated and interdisciplinary approach that embeds mathematical modeling into biological applications, the book illustrates numerous applications of mathematical techniques within biology, ecology, and environmental sciences. Featuring a quantitative, computational, and mathematical approach, the book includes: Examples of real-world applications, such as population dynamics, genetics, drug administration, interacting species, and the spread of contagious diseases, to showcase the relevancy and wide applicability of abstract mathematical techniques Discussion of various mathematical concepts, such as Markov chains, matrix algebra, eigenvalues, eigenvectors, first-order linear difference equations, and nonlinear first-order difference equations Coverage of difference equations to model a wide range of real-life discrete time situations in diverse areas as well as discussions on matrices to model linear problems Solutions to selected exercises and additional MATLAB codes Explorations of Mathematical Models in Biology with MATLAB is an ideal textbook for upper-undergraduate courses in mathematical models in biology, theoretical ecology, bioeconomics, forensic science, applied mathematics, and environmental science. The book is also an excellent reference for biologists, ecologists, mathematicians, biomathematicians, and environmental and resource economists.