TY - BOOK AU - Kliemann,Lasse AU - Sanders,Peter ED - SpringerLink (Online service) TI - Algorithm Engineering: Selected Results and Surveys T2 - Lecture Notes in Computer Science, SN - 9783319494876 AV - QA76.9.A43 U1 - 005.1 23 PY - 2016/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Computer science KW - Computer communication systems KW - Computers KW - Algorithms KW - Mathematics KW - Artificial intelligence KW - Computer Science KW - Algorithm Analysis and Problem Complexity KW - Information Systems Applications (incl. Internet) KW - Artificial Intelligence (incl. Robotics) KW - Computer Communication Networks KW - Computation by Abstract Devices KW - Discrete Mathematics in Computer Science N1 - Engineering a Lightweight and Efficient Local Search SAT Solver -- Route Planning in Transportation Networks -- Theoretical Analysis of the k-Means Algorithm - A Survey -- Recent Advances in Graph Partitioning -- How to Generate Randomized Roundings with Dependencies and How to Derandomize Them -- External-Memory State Space Search -- Algorithm Engineering Aspects of Real-Time Rendering Algorithms -- Algorithm Engineering in Robust Optimization -- Clustering Evolving Networks -- Integrating Sequencing and Scheduling: A Generic Approach with Two Exemplary Industrial Applications -- Engineering a Bipartite Matching Algorithm in the Semi-Streaming Model -- Engineering Art Galleries N2 - Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice UR - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-49487-6 ER -