The compiler is one of the most important aspects of system software. When any computer user develops a computer program, one must use some programming language, rather than using a computer instruction set. This implies that there must be the compiler of the programming language that has been installed on the computer one uses, and...

Linear Programming deals with the problem of minimizing or maximizing a linear function in the presence of linear inequalities. Since the development of the simplex method by George B. Dantzig in 1947, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. The...

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...

Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then...

In Java Number Cruncher, author Ronald Mak explains how to spot-and how to avoid-the subtle programming miscues that can cause vexing calculation errors in your applications. An authority on mapping pure math to computer math, he explains how to use the often-overlooked computational features of...

Newtonian velocity addition is the common vector...

With more and more images and videos being available in the compressed format, researchers have started taking interest in the aspect of designing algorithms for different image operations directly in their domains of representation. This would not only avoid the inverse and forward transformation steps and potentially make the...

In the last decade, multi-agent systems have both become widely applied and also increasingly complex. The applications include the use of agents as automous decision makers in often safety-critical, dangerous, or high impact scenarios (traffic control, autonomous satellites, computational markets). The complexity arises from the fact...