Data sets in large applications are often too massive to fit completely inside the computers
internal memory. The resulting input/output communication (or I/O) between fast internal …

Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …

Data sets in large applications are often too massive to fit completely inside the computer's
internal memory. The resulting input/output communication (or I/O) between fast internal …

Many modern applications store and process datasets much larger than the main memory of
even state-of-the-art high-end machines. Thus massive and dynamically changing datasets …

There is arguably no field in greater need of a comprehensive handbook than computer
engineering. The unparalleled rate of technological advancement, the explosion of …

Data sets in large applications are often too massive to fit completely inside the computer's
internal memory. The re sulting input/output communication (or I/O) between fast internal …

Algorithms that have to process large data sets have to take into account that the cost of
memory access depends on where the data is stored. Traditional algorithm design is based …

As GIS systems frequently handle huge amounts of data it is getting increasingly important to
design algorithms with good I/O performance for problems arising in such systems. Many …

The systematic development of efficient algorithms has become a key technology for all
kinds of ambitious and innovative computer applications. With major parts of algorithmic …

The potential and use of Geographic Information Systems is rapidly increasing due to the
increasing availability of massive amounts of geospatial data from projects like NASA's …