Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

The Problem of the Unknown Component: Theory and Applications addresses the issue of designing a component that, combined with a known part of a system, conforms to an overall specification. The authors tackle this problem by solving abstract equations over a language. The most general solutions are studied when both synchronous and...

The second edition was largely precipitated by the introduction of anonymous functions into MATLAB. This feature, which allows us to embed functions in a program, rather than storing them in separate files, helps to alleviate the scourge of MATLAB programmers – proliferation of small files. In this edition, we have recoded all the...

With SAP HANA, even the most seasoned ABAP developers have some learning to do. Newbie or not, this book can help: install the Eclipse IDE, brush up your database programming skills, perform runtime and error analysis, transport old ABAP applications to HANA and more. Once you've mastered the tasks in this book, it will be full speed...

In this book, a leading expert on SAP performance walks through every facet of tuning and optimizing mySAP Solutions, and the technology layers underpinning these solutions, to maximize performance and...

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation...

Processing and Managing Complex Data for Decision Support provides readers with an overview of the emerging...