By Steven Frank
"Programming for Mere Mortals" is a chain of books designed to introduce the techniques of programming from the floor as much as a reader who hasn't ever written a line of code.
Unlike so much programming books which objective to coach you a selected language or working process, this sequence specializes in the center basics which are universal to programming any computer.
In a laid-back, conversational tone, "How to Count" introduces you to math issues which are necessary to turning into a winning programmer, including:
- Numeric bases (decimal, binary, hexadecimal)
- Signed vs. unsigned numbers
- Floating element and glued aspect arithmetic
This brief, simply understood booklet will speedy get you considering like a programmer.
Read or Download How to Count (Programming for Mere Mortals, Volume 1) PDF
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Additional info for How to Count (Programming for Mere Mortals, Volume 1)
Sample text
CI I design team framewOlX is discussed in section 7. It is first intended to introduce the manner in which research at the PEDC is addressing generic problems relating to the various stages of the design process. 4. 1. Region Identification A strategy for design decomposition I problem reduction adopted at the PEDC involves the identification ofhigh performance (lIP) regions of conceptual I preJiminaIy design spaces and the subsequent extraction of relevant information regarding the characteristics of the designs within those regions.
The last item is particularly relevant in a design for manufacturing environment, where manufacturing and production related constraints have received increased attention. 0 References 1. , 1993. 6. 2. , 1991. Formal and Heuristic Decomposition Methods in Multidisciplinary Design, Ph. D. dissertation, University of Florida. 3. , 1982. "A Linear Decomposition Method for Large Optimization Problems - Blueprint for Development", NASA TM 83248. 23 4. , 1991. "Interdigitation: A Hybrid Technique for Engineering Design Optimization Employing Genetic Algorithms, Expert Systems, and Numerical Optimization", Handbook of Genetic Algorithsm, ed.
Whole System Design Other research within the Centre concerns search across design hierarchies of discrete design configurations which are further descnbed by dependant continuous variable sets. Achieving an efficient search across such hierarchies is not a trivial task. Many discrete paths have diffuring sets of dependant variables as illustrated in figure 3. The search space therefore comprises of differing continuous design spaces each related to a discrete design option A search strategy is required that efficiently samples each continuous design space in order to rapidly detennine the discrete design paths of high potential.
