MATLAB for Engineering and the Life SciencesMorgan & Claypool Publishers, 2011 - 121 páginas In recent years, the life sciences have embraced simulation as an important tool in biomedical research. Engineers are also using simulation as a powerful step in the design process. In both arenas, Matlab has become the gold standard. It is easy to learn, flexible, and has a large and growing userbase. MATLAB for Engineering and the Life Sciences is a self-guided tour of the basic functionality of MATLAB along with the functions that are most commonly used in biomedical engineering and other life sciences. Although the text is written for undergraduates, graduate students and academics, those in industry may also find value in learning MATLAB through biologically inspired examples. For instructors, the book is intended to take the emphasis off of learning syntax so that the course can focus more on algorithmic thinking. Although it is not assumed that the reader has taken differential equations or a linear algebra class, there are short introductions to many of these concepts. Following a short history of computing, the MATLAB environment is introduced. Next, vectors and matrices are discussed, followed by matrix-vector operations. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic. The last three chapters outline how to manage the input and output of data, create professional quality graphics and find and use Matlab toolboxes. Throughout, biomedical examples are used to illustrate MATLAB's capabilities. Table of Contents: Introduction / Matlab Programming Environment / Vectors / Matrices / Matrix -- Vector Operations / Scripts and Functions / Loops / Conditional Logic / Data In, Data Out / Graphics / Toolboxes |
Contenido
| 1 | |
Matlab Programming Environment | 9 |
Vectors | 17 |
Matrices | 25 |
Matrix Vector Operations | 33 |
Scripts and Functions | 43 |
Loops | 55 |
Conditional Logic | 67 |
Data In Data Out | 79 |
Graphics | 93 |
Toolboxes | 107 |
Authors Biography | 121 |
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adjacency matrix algorithms analytical basic BINARY FILES biological biomedical cell chapter columns command in Matlab command line compiled complex computing concentration constant contains create a script create a vector data structure debugging define diary differential equation display dot product element Engineering enter the following entries Euler Method example exercise figure handle figure(2 following commands format frequency graphics grid help file imagesc important initial condition input iteration Kmax linear algebra logistic equation mathematical Mathworks Matlab Matlab functions matrix-vector operations memory move movie multiplication neurons nullcline numerical integration options outer product output parameters perform player plot points polynomial population problem programming language scalars script called simply simulation solution solve Steven Wolfram stored string symbolic T(Node text file variable view the help voltage write zeros
