By National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities

During this quantity, the Committee at the basics of desktop technological know-how defines the fundamental personality of desktop technological know-how, describes its equipment and modes of study, and clarifies the character of the pc technology learn underlying details expertise breakthroughs. The 23 essays evaluate the historical past of computation, abstraction, programming languages, databases, cryptography, spreadsheets, and web looking out. No index is supplied.

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In Part Two, computer scientists explain not only some of the results achieved in several areas of computer science research but also what interests and excites them about the research. The diversity of the topics addressed in these essays reflects the diversity of the field itself. The essays in Part Two are organized by chapter into several clusters: • Exponential growth, computability, and complexity. How computer science research makes possible a sustained growth in computing power and how theoretical models of computation help us understand intrinsic limits on what is computable (Chapter 2).

By laying a more reliable foundation, we can expand the realms in which society can depend on information technology. The last half-century has seen substantial computing advances and impacts on society. We expect the synergies just discussed to provide plenty of non-technical and technical challenges and opportunities. For society, the real information revolution may be coming soon. On the technical side, there is much work to be done. Arthur C. ” Let’s create some more magic! EXPONENTIAL GROWTH, COMPUTABILITY, AND COMPLEXITY 37 COMPUTABILITY AND COMPLEXITY Jon Kleinberg, Cornell University, and Christos Papadimitriou, University of California, Berkeley The Quest for the Quintic Formula One of the great obsessions of Renaissance sages was the solution of polynomial equations: find an x that causes a certain polynomial to evaluate to 0.

Examples include compound interest and unconstrained biological population growth. 10)8. To understand the implications of rapid exponential growth, consider the absurd example of your annual salary starting at a modest $16 but then doubling every 18 months for 36 years. This improvement corresponds to an annual growth rate of 59 percent. , $64 after 3 years). You would have to live with your parents. With patience, you will eventually be able to buy a car ($16,000 after 15 years). Then you can move out and buy a house 30 COMPUTER SCIENCE: REFLECTIONS ($100,000 after 24 years).

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Computer Science: Reflections on the Field, Reflections from by National Research Council, Division on Engineering and
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