Sorting Last In First Out Stacks
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Sorting Last-In-First-Out Stacks
Author: Fabian Wilschewski
language: en
Publisher: BoD – Books on Demand
Release Date: 2024-01-31
This thesis deals with storage systems that are organized in last-in-first-out stacks. This approach for storing items is common, for example, in container terminals, and is therefore of great practical interest as well as high relevance in the literature. Furthermore, optimization problems that may arise in this context are presented and addressed by developing novel mathematical model formulations and customized solution methods.
Rexx Programmer's Reference
&Quot;Whether you're new to Rexx or are an experienced Rexx programmer, this comprehensive reference offers you what you need to know in order to work with this easy yet powerful scripting language on any level. After a quick overview of the basics of Rexx, you'll move on to more advanced scripting topics such as portable code and optimal coding style.". "This book is for programmers on any platform who are either looking to learn Rexx or already use it and want to expand their knowledge of Rexx. A basic knowledge of programming is assumed."--BOOK JACKET.
Guide to Data Structures
This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the fundamentals of data structures, enabling the reader to quickly learn the key concepts, and providing a strong foundation for later studies of more complex topics. The coverage includes discussions on stacks, queues, lists, (using both arrays and links), sorting, and elementary binary trees, heaps, and hashing. This content is also a natural continuation from the material provided in the separate Springer title Guide to Java by the same authors.Topics and features: reviews the preliminary concepts, and introduces stacks and queues using arrays, along with a discussion of array-based lists; examines linked lists, the implementation of stacks and queues using references, binary trees, a range of varied sorting techniques, heaps, and hashing; presents both primitive and generic data types in each chapter, and makes use of contour diagrams to illustrate object-oriented concepts; includes chapter summaries, and asks the reader questions to help them interact with the material; contains numerous examples and illustrations, and one or more complete program in every chapter; provides exercises at the end of each chapter, as well as solutions to selected exercises, and a glossary of important terms. This clearly-written work is an ideal classroom text for a second semester course in programming using the Java programming language, in preparation for a subsequent advanced course in data structures and algorithms. The book is also eminently suitable as a self-study guide in either academe or industry.