000 02212nam a22001817a 4500
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008 241028b |||||||| |||| 00| 0 eng d
020 _a9783642435447
082 _a005.1
_bBRA
100 _a Bradley, R. Aaron
245 _aProgramming for Engineers: A Foundational Approach to Learning C and Matlab
_c Aaron R. Bradley
250 _a1
260 _aBerlin Heidelberg
_bSPRINGER
_c 2011
300 _aXIV, 238
505 _tMemory: The Stack Control Arrays and Strings Debugging I/O Memory: The Heap Abstract Data Types Linked Lists Introduction to Matlab Exploring ODEs with Matlab Exploring Time and Frequency Domains with Matlab
520 _aTo learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.
942 _2ddc
_cBK
999 _c2452
_d2452