Exploring Top Books of Shelfari

Landing Page Optimization: The Definitive Guide to Testing and Tuning for Conversions

Landing Page Optimization: The Definitive Guide to Testing and Tuning for Conversions

by Tim Ash

How much money are you losing because of poor landing page design? In this comprehensive, step-by-step guide, you’ll learn all the skills necessary to dramatically improve your bottom line, including identifying mission critical parts of your website and their true economic value, defining important visitor classes and key conversion tasks, gaining insight on customer decision-making, uncovering problems with... (more)

Web Form Design: Filling in the Blanks

by Luke Wroblewski

Forms make or break the most crucial online interactions: checkout, registration, and any task requiring information entry. In Web Form Design, Luke Wroblewski draws on original research, his considerable experience at Yahoo! and eBay, and the perspectives of many of the field's leading designers to show you everything you need to know about designing effective and engaging web forms.

Always Be Testing: The Complete Guide to Google Website Optimizer

Always Be Testing: The Complete Guide to Google Website Optimizer

by Bryan Eisenberg, John Quarto-von Tividar

Stop guessing, start testing, and enjoy greater success with your website. If you’re looking for more leads, sales, and profit from your website, then look no further than this expert guide to Google’s free A/B and multivariate website testing tool, Google Website Optimizer. Recognized online marketing guru and New York Times bestselling author, Bryan Eisenberg, and his chief scientist, John... (more)

Calculus of Variations

by I. M. Gel?fand, Richard A. Silverman

First six chapters include theory of fields and sufficient conditions for weak and strong extrema. Chapter 7 considers application of variation methods to systems with infinite degrees of freedom, and Chapter 8 deals with direct methods in the calculus of variations. Problems follow each chapter and the two appendices. Fresh, lively text is ideal for advanced undergraduate and graduate students in math and... (more)

Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata (Series in Intelligent Control and Intelligent Automation, Vol 2)Pedro U. Lima, George N. Saridis

Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata (Series in Intelligent Control and Intelligent Automation, Vol 2)

by Pedro U. Lima

In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing... (more)

How to Solve It: Modern Heuristics

by Zbigniew Michalewicz

This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and... (more)

High Performance MySQL

by Jeremy D. Zawodny

As users come to depend on MySQL, they find that they have to deal with issues of reliability, scalability, and performance--issues that are not well documented but are critical to a smoothly functioning site. This book is an insider's guide to these little understood topics. Author Jeremy Zawodny has managed large numbers of MySQL servers for mission-critical work at Yahoo!, maintained years of contacts with the... (more)

Red Hat Linux Security and Optimization

by Mohammed J. Kabir

Red Hat Linux Security and Optimization is a reference for power-users and administrators covering all security issues, including Filesystems Security, Securing root accounts and Firewalls. Other Security books talk about how to apply certain patches to fix a security problem -- but this book shows you how to secure all applications so that the chances for a security breach are automatically minimized.... (more)

Convex Analysis and Optimization

by Dimitri Bertsekas

A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. Among its special features, the book: 1) Develops rigorously and comprehensively the theory of convex sets and functions, in the classical tradition of Fenchel and Rockafellar 2) Provides a geometric, highly visual treatment of convex and nonconvex optimization problems, including existence of... (more)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

by Bernhard Scho?lkopf

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the... (more)

Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3)

Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3)

by Dimitri P. Bertsekas

This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which is a recent breakthrough in the practical application of neural networks and dynamic programming to complex problems of planning, optimal decision making, and intelligent control. Neuro-dynamic programming uses neural network approximations to overcome the "curse of dimensionality" and the... (more)

Practical Process Simulation Using Object-Oriented Techniques and C++

Practical Process Simulation Using Object-Oriented Techniques and C++

by Jose? M. Garrido

Details both the fundamentals & implementation aspects of simulation modeling using C++. Provides valuable insight into the dynamic behavior of operating systems, computer networks, real-time systems, & other computer-related systems. DLC: Computer simulation.

Networks of Learning Automata: Techniques for Online Stochastic Optimization

Networks of Learning Automata: Techniques for Online Stochastic Optimization

by Mandayam A. L. Thathachar

Networks of Learning Automata: Techniques for Online Stochastic Optimization is a comprehensive account of learning automata models with emphasis on multiautomata systems. It considers synthesis of complex learning structures from simple building blocks and uses stochastic algorithms for refining probabilities of selecting actions. Mathematical analysis of the behavior of games and feedforward networks is... (more)

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Tags: optimization