TY  - BOOK
AU  - Kliemann,Lasse
AU  - Sanders,Peter
TI  - Algorithm engineering: selected results and surveys 
T2  - Lecture notes in computer science,
SN  - 9783319494876
AV  - QA9.58 
U1  - 518/.1 23
PY  - 2016///
CY  - Cham, Switzerland
PB  - Springer
KW  - Algorithms
KW  - Computer algorithms
KW  - Algorithmes
KW  - algorithms
KW  - aat
KW  - Information retrieval
KW  - bicssc
KW  - Artificial intelligence
KW  - Network hardware
KW  - User interface design & usability
KW  - Discrete mathematics
KW  - Algorithms & data structures
KW  - Computers
KW  - Information Technology
KW  - bisacsh
KW  - Intelligence (AI) & Semantics
KW  - Hardware
KW  - Network Hardware
KW  - Machine Theory
KW  - Data Processing
KW  - Programming
KW  - fast
N1  - Includes author index; 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  - https://link.springer.com/10.1007/978-3-319-49487-6
ER  -