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Hudson Diaz
Hudson Diaz

Scientific Computing With Matlab And Octave Ebook Download !!TOP!!

The goal of this book is to provide you with skills in scientific computing: tools and techniques that you can use in your own scientific research. We will focus on learning to think about experiments and data in a computational framework, and we will learn to implement specific algorithms using a high-level programming language (MATLAB).

Scientific Computing With Matlab And Octave Ebook Download

Learning how to program will significantly enhance your ability to conduct scientific research today and in the future. Programming skills will provide you with the ability to go beyond what is available in pre-packaged analysis tools, and code your own custom data processing, analysis and visualization pipelines. The course (and these notes) are organized around using MATLAB12, a high-level language and interactive environment for scientific computing.

Computers were initially developed with the intention to solve numerical problems for military applications. The programs were written in absolute numeric machine language and punched in paper tapes. The process of writing programs, scheduling the execution in a batch mode and collection of results was long and complex. This tedious process did not allow any room for making mistakes. The late 1950s saw the beginning of research into numerical linear algebra. The emergence of FORTRAN as a language for scientific computation triggered the development of matrix computation libraries, i.e., EISPACK, LINPACK. The availability of these libraries did not ease the process of writing programs. Programmers still had to go through the cycle of writing, executing, collecting results and debugging. In the late 1970s, Cleve Moler developed the first version of MATLAB to ease the pain of his students. This version did not allow for M-files or toolboxes but it did have a set of 80 useful functions with support for matrix data type. The original version was developed in FORTRAN. The first commercial version released in 1984 was developed in C with support for M-files, toolboxes and plotting functions. MATLAB provided an interactive interface to the EISPACK and LINPACK. This eliminated the development cycle and the users were able to view the results of their commands immediately due to the very nature of an interpreter. Today, it is a mature scientific computing environment with millions of users worldwide.


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