000			02513nam a22001937a 4500
003			OSt
005			20240826155950.0
008			190326b ||||| |||| 00| 0 eng d
020			_a9781611973495
040			_cSIAM _aICTS-TIFR
050			_aQ183.9
100			_aRostamian, Rouben
245			_aProgramming projects in C for students of engineering, science, and mathematics
260			_aUSA: _bSIAM, _c[c2014]
300			_a393 p
505			_aI A Common Background Chapter 1: Introduction Chapter 2: File organization Chapter 3: Streams and the Unix shell Chapter 4: Pointers and arrays Chapter 5: From strings to numbers Chapter 6: Make II Projects Chapter 7: Allocating memory: xmalloc () Chapter 8: Dynamic memory allocation for vectors and matrices: array.h Chapter 9: Reading lines: fetch_line() Chapter 10: Generating random numbers Chapter 11: Storing sparse matrices Chapter 12: Sparse systems: The Umfpack library Chapter 13: Haar wavelets Chapter 14: Image I/O Chapter 15: Image analysis Chapter 16: Linked lists Chapter 17: The evolution of species Chapter 18: The Nelder–Mead downhill simplex Chapter 19: Trusses Chapter 20: Finite difference schemes for the heat equation in one dimension Chapter 21: The porous medium equation Chapter 22: Gaussian quadrature Chapter 23: Triangulation with the Triangle library Chapter 24: Integration on triangles Chapter 25: Finite elements Chapter 26: Finite elements: Nonzero boundary data
520			_aLike a pianist who practices from a book of études, readers of Programming Projects in C for Students of Engineering, Science, and Mathematics will learn by doing. Written as a tutorial on how to think about, organize, and implement programs in scientific computing, this book achieves its goal through an eclectic and wide-ranging collection of projects. Each project presents a problem and an algorithm for solving it. The reader is guided through implementing the algorithm in C and compiling and testing the results. It is not necessary to carry out the projects in sequential order. The projects contain suggested algorithms and partially completed programs for implementing them to enable the reader to exercise and develop skills in scientific computing; require only a working knowledge of undergraduate multivariable calculus, differential equations, and linear algebra; and are written in platform-independent standard C; the Unix command-line is used to illustrate compilation and execution
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