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Introduction to MATLAB for biologists
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Introduction to MATLAB for biologists
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Introduction to MATLAB for biologists/ by Cerian Ruth Webb, Mirela Domijan.
作者:
Webb, Cerian Ruth.
其他作者:
Domijan, Mirela.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
xiii, 175 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Biology - Research. -
電子資源:
https://doi.org/10.1007/978-3-030-21337-4
ISBN:
9783030213374
Introduction to MATLAB for biologists
Webb, Cerian Ruth.
Introduction to MATLAB for biologists
[electronic resource] /by Cerian Ruth Webb, Mirela Domijan. - Cham :Springer International Publishing :2019. - xiii, 175 p. :ill. (some col.), digital ;24 cm. - Learning materials in biosciences,2509-6125. - Learning materials in biosciences..
Introduction: What is Matlab and what can it be used for -- Overview of Interface -- Toolboxes -- The basics using the command line: Element by element versus matrix multiplication -- Multiplying and dividing arrays of data -- Example 1: Next generation matrix models -- Creating and using script files: Debugging scripts -- Using the live editor -- Accessing help -- Exploring Matlab's in-built functions -- Creating graphs and plots: Example 1: Introduction to the image processing toolbox -- Example 2: Plotting ellipses, hyperbola and parabola (conic sections) -- Anonymous functions -- Creating separate function files: Example 1: solving a differential equation using ode45 using biological examples -- Importing and exporting data: Example 1: reading spreadsheets using the command line and an application of linear algebra to statistical analysis of qpcr data -- Matlab as a programming language: Introduction to using loops in your scripts -- For loops -- While loops -- Combining loops and conditional statements.
This textbook takes you from the very first time you open MATLAB through to a position where you can comfortably integrate this computer language into your research or studies. The book will familiarise you with the MATLAB interface, show you how to use the program's built-in functions and carefully guide you towards creating your own functions and scripts so that you can use MATLAB as a sophisticated tool to support your own research. A central aim of this book is to provide you with the core knowledge and skills required to become a confident MATLAB user so that you can find and make use of the many specialist functions and toolboxes that have been developed to support a wide range of biological applications. Examples presented within the book are selected to be relevant to biological scientists and they illustrate some of the many ways the program can be incorporated into, and used to enhance, your own research and studies. The textbook is a must-have for students and researchers in the biological sciences. It will also appeal to readers of all backgrounds who are looking for an introduction to MATLAB which is suitable for those with little or no experience of programming.
ISBN: 9783030213374
Standard No.: 10.1007/978-3-030-21337-4doiSubjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
683026
Biology
--Research.
LC Class. No.: QH315 / .W433 2019
Dewey Class. No.: 570.72
Introduction to MATLAB for biologists
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Introduction: What is Matlab and what can it be used for -- Overview of Interface -- Toolboxes -- The basics using the command line: Element by element versus matrix multiplication -- Multiplying and dividing arrays of data -- Example 1: Next generation matrix models -- Creating and using script files: Debugging scripts -- Using the live editor -- Accessing help -- Exploring Matlab's in-built functions -- Creating graphs and plots: Example 1: Introduction to the image processing toolbox -- Example 2: Plotting ellipses, hyperbola and parabola (conic sections) -- Anonymous functions -- Creating separate function files: Example 1: solving a differential equation using ode45 using biological examples -- Importing and exporting data: Example 1: reading spreadsheets using the command line and an application of linear algebra to statistical analysis of qpcr data -- Matlab as a programming language: Introduction to using loops in your scripts -- For loops -- While loops -- Combining loops and conditional statements.
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