Optimal Dating Algorithms

This title examines the structure of approximate solutions of optimal control problems considered on subintervals of a real line. Specifically at the properties of approximate solutions which are inde

Parallel Kinematics- Type, Kinematics, and Optimal Design presents the results of 15 year's research on parallel mechanisms and parallel kinematics machines. This book covers the systematic classifica

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the st

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, inclu

This book constitutes the refereed proceedings of the 13th Algorithms and Data Structures Symposium, WADS 2013, held in London, ON, Canada, August 2013. The Algorithms and Data Structures Symposium -

Nonconvex Optimal Control and Variational Problems is an important contribution to the existing literature in the field and is devoted to the presentation of progress made in the last 15 years of rese

Optimal analysis is defined as an analysis that creates and uses sparse, well-structured and well-conditioned matrices. The focus is on efficient methods for eigensolution of matrices involved in stat

This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces

Pediatric Urology: Evidence for Optimal Patient Management provides pediatric urologists the information needed for state-of-the-art patient care. Chapters are organized around pertinent clinical ques

This book focuses on bistatic SAR signal processing, mainly on imaging aspects. Topics include bistatic SAR resolution analysis, echo generation methods, imaging algorithms, imaging parameters estimat

After the death of his wife and three depressing years alone, Dr. Martin Dorenbush decided to take control of his destiny and enter the world of online dating. Tackling the intimidating online dating

SEX, LOVE & SMART DATING: Secrets to Win Mr. Right & Survive Bad Boys! by Dr. Paul Dawson -- Dr. Dawson offers an indispensable guide for women who are dating, seeking a committed relationshi

Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles ar

This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bell

There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the

To bridge the gap between reliability engineering and applied mathematics in the field of optimal allocation of resources to increase a system's reliability, Ushakov, a specialist in reliability engin

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components controllers, sensors, and actuators in a networked control system. It is common practic

Does this sound familiar? I'm not happy being alone.I am lonely.I never meet anyone new or exciting.I have nothing in common with the dating prospects I meet.I'm afraid of growing old alone. Save your

A lively, thought-provoking memoir about how one woman "gamed" online dating sites like JDate, OKCupid and eHarmony – and met her eventual husband. After yet another online dating disaster, Amy Webb w

Functional analysis owes much of its early impetus to problems that arise in the calculus of variations. In turn, the methods developed there have been applied to optimal control, an area that also re

“If online dating can blunt the emotional pain of separation, if adults can afford to be increasingly demanding about what they want from a relationship, the effect of online dating seems positive. Bu

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduct

This monograph presents the state-of-the-art developments in the design of behaviorally and structurally optimal livenessen-forcing Petri net supervisors with computationally tractable approaches. It

One in five relationships starts on an online dating site, but little straightforward guidance exists for users. Enter digital dating whisperer Laurie Davis . . . In a world where we communicate as mu

When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the re

Equip yourself for success with a state-of-the-art approach to algorithms available only in Miller/Boxer's ALGORITHMS SEQUENTIAL AND PARALLEL: A UNIFIED APPROACH, 3E. This unique and functional text g

Dating AI is "a meditation on how to prepare for the unknown," a thought experiment designed to stimulate new ideas about issues that are important now as well as in the future. Fictional descriptions

"This book highlights the current research on swarm intelligence algorithms and their applications, including research, survey and application chapters"--

Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and t

Poetry. John Allman's prose poems in ALGORITHMS go forth in a kind of wanderjahr to discover or be discovered. These prose poems possess a different kind of urgency, a vitality that almost defies boun

It's been said that insanity is doing the same thing over and over yet expecting different results. Are you weary of the "dating treadmill," trying out different potential partners only to be let down

From the reviews: "The style of the book reflects the author’s wish to assist in the effective learning of optimal control by suitable choice of topics, the mathematical level used, and by including n

Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practic

"Preface This book is an introduction to the mathematical theory of optimal control of processes governed by ordinary differential and certain types of differential equations with memory. The book is

The 21 papers in this collection develop new algorithms for helping machines learn from previous data and describe the application of machine learning algorithms to image retrieval, computer vision, h

This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map

From dating to drugs, modesty to purity, morals to popularity, teens face all sorts of tough issues. How teens respond to these hot-button issues can have lasting effects on who they want to be and wh

Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly help

Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff–Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff–Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks.