Having invested in Microsoft Dynamics, your enterprise will want to make a success of it, which is where this guide to Sure Step comes in, teaching you how to apply the methodologies to ensure optimum results.
Overview
Understand how Sure Step helps you envision and implement the right Microsoft Dynamics...
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and...
“Blanchard is demanding. He won’t allow you to flip through this book, nod your head, and leave. If you’re in, you’re going to have to invest to get your rewards.”
Even if you've created marketing plans before it doesn't matter. The rules have changed. With the advent of Web 2.0 business strategies like Search Engine Optimization, Social Networking, Pay-Per-Click, and dozens more, it may seem like you need to start from scratch. But with the brand new and completely updated fourth edition of...
This book collects a wealth of information about spatial audio coding into one comprehensible volume. It is a thorough reference to the 3GPP and MPEG Parametric Stereo standards and the MPEG Surround multi-channel audio coding standard. It describes key developments in coding techniques, which is an important factor in the optimization of...
Although they are believed to be unsolvable in general, tractability results suggest that some practical NP-hard problems can be efficiently solved. Combinatorial search algorithms are designed to efficiently explore the usually large solution space of these instances by reducing the search space to feasible regions and using heuristics to...
Over tlid- past forty years, graph theory has been one of the most rapidly growing
areas of mathematics. Siuee 19oO, more than 10.000 different authors have published
papers classified as graph l he or Ñ by XI nth Reviews, and for the past decade, over 1000
graph theory papers have been published each year.
This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise...
As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable...
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to...
YOU HAVE TO OWN THIS BOOK! Software Exorcism: A Handbook for Debugging and Optimizing Legacy Code takes an unflinching, no bulls$&# look at behavioral problems in the software engineering industry, shedding much-needed light on the social forces that make it difficult for programmers to do their job. Do you have a co-worker who...
Finite-time stability (FTS) is a more practical concept than classical Lyapunov stability, useful for checking whether the state trajectories of a system remain within pre-specified bounds over a finite time interval. In a linear systems framework, FTS problems can be cast as convex optimization problems and solved by the use of effective...
