Titlebook: Delivering Results; Managing What Matter Lawrence P. Carr,Alfred J. Nanni Jr. Book 2009 Springer-Verlag New York 2009 Alignment.Change.Corp

障碍物

Algorithm AnalysisThis chapter introduces readers to how we analyze algorithm performance through asymptotic analysis. We will discuss Big-Oh, Big-Omega, and Theta notation, as well as the best, average, and worst-case analysis of algorithms. We then use these tools to analyze the performance of the searching and sorting algorithms discussed in Chapter 6.

灾祸

Luca Barbaglia,Sergio Consoli,Susan WangRucksack und Schulter, Fuß und Asphalt. Regennässe, Feuerwärme und die Kühle des Morgens vor dem Zelt. Beim . und im Lager sind körperliche/. Erfahrungen zentral für die Pfadfinderbewegung. Diese korporalen Erlebnisse münden in Anekdoten, Liedern und Geschichten.

矛盾心理

Niken Prasasti Martono,Hayato OhwadaDas „System der kleinen Gruppe“ im Pfadfinden antwortet auf dieses Bedürfnis adoleszenter Kinder und Jugendlicher und bietet einen ., der in dieser Phase der . Halt und Sicherheit bieten kann.

Delude

Searching and SortingThis section is divided into two parts. In the first part, we discuss the two popular searching algorithms: linear and binary search. In the second part, we describe the five most popular sorting algorithms: bubble, selection, insertion, merge, and quick sort. All algorithms are implemented using generics with a functional and in-place approach.

反话

使困惑

Some Tools for Learning Game Design: Game Engines, Virtual Worlds, and TransmediaThere are a huge number of tools available to learning game developers today. Rather than detail all of them, this chapter provides a broad overview of what is out there with a few examples. We discuss what each general tool supports best in terms of learning game design from our experience.

小隔间

Aphorism

Carlo Nicola De Cecco,Marco RengoNach einigen Jahren der Therapie kommt es nicht nur durch das Fortschreiten der Erkrankung zu motorischen Komplikationen, sondern auch durch die .-DOPA-Therapie zu:

极微小

Knowledge Discovery from Medical Data: An Empirical Study with XCS,In this chapter we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a primary breast cancer data set. Our results indicate more effective knowledge discovery than with C4.5.

Kernel