Optimal Dating Algorithms

A book from the stand-up mathematician that makes math fun again!Math is boring, says the mathematician and comedian Matt Parker. Part of the problem may be the way the subject is taught, but it’s als

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits.In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm

Are you fed up with thinking about that guy every minute of every waking hour, when he doesn't even reply to your texts? Are you reeling from the pain of a break-up, unsure of where to turn? Are you single and looking to be happy with your choices in the face of society's constant questioning? In How to Get Over a Boy, bestselling author Chidera Eggerue will show you, once and for all, how to reframe the stale goal of finding a man. She will equip you with tangible and applicable solutions for every part of your dating life, helping you recognise that men hold as much power in our romantic lives as we grant them. In the past, dating books tend to lean more into the territory of 'how to make him find you hot!', 'how to make him jealous!', 'how to get him to propose!'.But these how-tos are placing men on a pedestal of being 'the prize'. Men are NEVER the prize. You are.Let The Slumflower show you why.

The Silk Manuscripts from Zidanku, Changsha (Hunan), are the only pre-Imperial Chinese manuscripts on silk found to-date. Dating to the turn from the 4th to the 3rd centuries BC (Late Warring States p

Allie Abraham has it all going for her—she’s a straight-A student, with good friends and a close-knit family, and she’s dating popular, sweet Wells Henderson. One problem: Wells’s father is Jack Hende

The Canons and other later writings of the school of Mo-tzu, dating from about 300 B.C., contain nearly all that survives of the logic of ancient China, and its optics and mechanics, the only organize

Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is imp

Psychosis and Schizophrenia in Hong Kong covers some of the most serious mental health conditions that top the global disease burden and affect 3 per cent of the general population. However, most research on psychotic disorders is undertaken in the West, and few studies have been systematically carried out in Asia despite global interest in regional differences. This work offers a unique and coherent account of these disorders and their treatment in Hong Kong over the last thirty years.Chen and his research programme’s pioneering work has ranged from the impact of early intervention on outcomes and relapse prevention, to the renaming of psychosis to reduce stigma. The studies have contributed to wider international debates on the optimal management of the condition. Their investigations in semantics and cognition, as well as cognition-enhancing exercise interventions, have provided novel insights into deficits encountered in psychotic disorders and how they might be ameliorated. The re

What would Darcy do? How can you be more Bridgerton? Take the Regency approach and be prepared for anything life throws at you - from dates to duels, manners to matters of the heart. You'll soon find yourself the catch of the season.Sick of indecent proposals from untrustworthy rakes? Be more discerning with your dance card and swipe right on only the most eligible and dashing suitors. Whether you want to avoid scandal, or embrace it, keep your name out of the gossip sheets and group chats with this modern take on the rules of polite society.Putting a fresh spin on real Regency etiquette advice, A Regency Guide to Modern Life is a tongue-in-cheek handbook to navigating friendship, dating, work, summer holidays, social events, self-confidence and more - the perfect gift for fans of period dramas and Jane Austen.

Shows how approximate dynamic programming can be used to design a family of adaptive optimal control algorithms that converge in real time to optimal control solutions by measuring data along the syst

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses

Volume IThe Silk Manuscripts from Zidanku, Changsha (Hunan), are the only pre-Imperial Chinese manuscripts on silk found to-date. Dating to the turn from the 4th to the 3rd centuries BC (Late Warring States period), they contain several texts concerning basic cosmological concepts, including one manuscript (Manuscript 1) with a diagrammatic arrangement and surrounded by pictorial illustrations. As such, they constitute a unique source of information complementing and going beyond what is known from transmitted texts.This is the first in a two-volume monograph on the Zidanku manuscripts, reflecting almost four decades of research by Professor Li Ling of Peking University. While the philological study and translation of the manuscript texts is the subject of Volume Two, this first volume presents the archaeological context andhistory of transmission of the physical manuscripts. It records how they were taken from their original place of interment in the 1940s and taken to the United Stat

The 2024 New York Times / New York Public Library Best Illustrated Children's BooksFrom the inimitable creator of El Deafo, this all-ages alphabet book is also a hand-wrought, high-fidelity, hilariously tongue-in-cheek homage to the golden days of album cover art. Cece Bell loves music and collecting old record albums, her introduction explains, especially albums featuring animal artists. The bouncing harmonies of the Barbershop Beagles, the elegant crooning of the elephant Ella Fontaine, the hilarious rhymes of the Hip-Hop Hedgehogs--all are represented in this quirky ABC book that draws on the creator's personal collection of albums, memorabilia, and lyrics dating between 1944 and 1984, the heyday of album design. With wry, witty text, silly and sumptuous sound play, and biographical end matter on all twenty-six musical acts, the book commands and stands up to repeated readings. Bright, zany art--all painted and lettered by hand--a stellar design, and an album-size trim make it a col

Pass the magic on! This enchanting multi-author series is like American Girl with magic.In this book, written by bestselling author Sarah Mlynowski and three-time Newbery Honor recipient Christina Soontornvat, the magic bracelet comes to a girl in Texas, who ends up in a Groundhog Day-style time loop.Lucy Usathorn of Fort Worth, Texas is super excited for her class trip to the Natural History Museum, where her dad works. Sure, Ms. Brock, the strict school librarian who happens to be dating Lucy's dad (awkward) is chaperoning, but it'll still be the best day ever, right?Wrong! Lucy has to watch in shock and humiliation as her dad proposes to Ms. Brock. Lucy is distraught. If only she could do this whole day over from scratch...Enter the magic bracelet. It arrives in the mail, with a long letter from Addie, a girl in Columbus, Ohio, who had the bracelet last time. The bracelet grants wishes, and Lucy knows just what to wish for: a do-over day, where she'll fix everything and most importa

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special

Optimal Design of Distributed Control and Embedded Systems focuses on the design of special control and scheduling algorithms based on system structural properties as well as on analysis of the influe

This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by mana

Optimal Reliability Design, first published in 2000, provides a detailed introduction to systems reliability and reliability optimization. Techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. The book begins with a review of key background material, and a discussion of a range of optimization models. The authors go on to cover optimization tools, such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools. Many numerical examples are included, and the book contains over 180 homework exercises. It is suitable as a textbook for graduate-level co

An introduction to the algorithms of computer algebra. These algorithms are discussed from both a theoretical and practical perspective. Those cases where theoretically optimal algorithms are inapprop

This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks, ad hoc CR networks, cooperative CR networks, and femtocell CR networks. It presents optimal algorithms

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables systematic development of optimal vision algorithms when used

Game theory is the theory of social situations, and the majority of research into the topic focuses on how groups of people interact by developing formulas and algorithms to identify optimal strategie

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain opt

This monograph develops a framework for time-optimal control problems, focusing on minimal and maximal time-optimal controls for linear-controlled evolution equations. Its use in optimal control provi

"This book explores how to optimize power system performance by analyzing a number of power system optimization problems such as optimal power flow (OPF) and OPF incorporating flexible AC transmission

Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve optimal control problems. With a strong emphasis on problem solv

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validi

In our day-to-day lives we constantly make decisions which are simply 'good enough' rather than optimal. Most computer-based decision-making algorithms, on the other hand, doggedly seek only the optimal solution based on rigid criteria and reject any others. In this book, Professor Stirling outlines an alternative approach, using novel algorithms and techniques which can be used to find satisficing solutions. Building on traditional decision and game theory, these techniques allow decision-making systems to cope with more subtle situations where self and group interests conflict, perfect solutions can't be found and human issues need to be taken into account - in short, more closely modelling the way humans make decisions. The book will therefore be of great interest to engineers, computer scientists and mathematicians working on artificial intelligence and expert systems.

The 21 papers consider theory, algorithms, and applications in a wide range of fields including aerospace design, operating hydroelectric power stations, and chemical engineering. The topics include u

For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and probabilistic analysis that are recurrent in algorithmic applications. Algorithmic examples are given to illustrate the use of each tool in a concrete setting. In the second part of the book, each of the seven chapters focuses on one important area of application of randomized algorithms: data structures; geometric algorithms; graph algorithms; number theory; enumeration; parallel algorithms; and on-line algorithms. A comprehensive and representative selection of the algorithms in these areas is also given. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exerc

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

Optimal Impulsive Control explores the class of impulsive dynamic optimization problems—problems that stem from the fact that many conventional optimal control problems do not have a solution in the c

Dynamics and Optimal Control of Road Vehicles uniquely offers a unified treatment of tyre, car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle-related problems wit

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system