Many real-time systems rely on static scheduling algorithms. This includes cyclic scheduling, rate monotonic scheduling and fixed schedules created by off-line scheduling techniques such as dynamic programming, heuristic search, and simulated annealing. However, for many real-ti…
This book is ideal for those who want to learn enough about computers in order to make intelligent buying and upgrading decisions, to maximize their productivity, as well as to become less dependent on others for help with computer questions and problems. The coverage is complet…
This second edition provides much-needed updates to the original volume. Like the first edition, it emphasizes the ideas behind the algorithms as well as their theoretical foundations and properties, rather than focusing strictly on computational details; at the same time, this …
"Fundamentals of Engineering Programming with C and Fortran is a beginner's guide to problem solving with computers that shows how to prototype a program quickly for a particular engineering application. The book's side-by-side coverage of C and Fortran, the predominant computer…
The classical theory of computation has been a successful framework for theoretical computer science. The thesis of this book, however, is that it provides an inadequate foundation for modern scientific computation where most of the algorithms are real number algorithms.
Randomization and Approximation Techniques in Computer Science: Second International Workshop, RANDOM'98, Barcelo…
by International Workshop on Randomization and Approximation Techniques in Computer Science, Barcelona, Spain), International Workshop on Randomization and Approximation Techniques in Computer Science, International Workshop on Randomization and Approximation Techniques in Computer Science
fromLecture Notes in Computer Science