The recent remarkable developments of interior point algorithms began in 1984 with Karmarkar's polynomial-time interior point algorithm for linear programs using a log- arithmic potential function and a projective transformation. The progress has been made so rapidly and extensively that it seems difficult to get a comprehensive...

Welcome to the world of Excel. Okay, that’s a bit cheesy. But if you look around the business world, the fi nancial world, the manufacturing world, and any other industry you can of, you will see people using Excel. Excel is everywhere. It is by far the most used program in the history of business applications. So...

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

Neural Networks started as an academic discipline over 50 years ago with the publication by McCulloch and Pitts of their famous result that any logical problem can be solved by a suitable network composed of so-called binary decision nodes. These are processors which make the simplest possible decision, that is, whether or not to respond to a...

The history of shells goes back some 30 years. In the early...

Native applications get almost all of the press these days, especially given the financial success of the iTunes App Store...

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study...

Your resume and cover letter, as well as a digital portfolio, business card and mailers, will function as the first contact and impression you make. These items will work to get your "foot in the door." Ultimately, however, it will be your portfolio book or online portfolio website that will land you the job. The creation of your...

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...

The Analytical Characterization of Aluminum, Steel, and Superalloys addresses the needs of the practicing materials scientist and engineer, whether in an industrial or university setting, and the advanced student. This handbook provides a fundamental overview of a wide range of characterization methodologies and does not provide an...

Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. In this book we address this process at several levels. We first treat the low-level image-processing issues of...