Optimal Dating Algorithms

Writings dating primarily from the years spanning A.D. 100 and 400 deal with the central teachings and traditions of Buddhism

The famous articles, dating from 1895–7, that founded a new branch of mathematics. Covers addition, multiplication and exponentiation of cardinal numbers, smallest transfinite cardinal numbers, ordina

A debut novel following a woman turning thirty in thirty days, determined to lose her virginity before her birthday—from podcaster, comedian, and bookfluencer Brooke Averick, who has amassed a platform of over 1.5M fans.How can you ever share true love's kiss without feeling like you're going to throw up?Phoebe Berman is on the verge of turning thirty and still hasn’t lost her virginity. So she drafts up the ultimate "Guide to Losing My Virginity" checklist and complete all the steps in a month.Actions as simple as “compliment a stranger on his outfit” or “redownload Hinge” are the easiest steps, while others, like “Go on a random dating app date” or “get drunk and make out with a stranger,” feel nearly impossible. Why? Phoebe has debilitating intimacy anxiety. And then suddenly, her relatively boring (basically non-existent) dating life is filled with suitors. There's a new fourth grade teacher at her school with perfect arms, a childhood crush resurfaces via Words with Friends, and t

A swoon-worthy romantic dramedy about finding love and reconnecting with your culture in the most surprising ways--now in paperback. Taiwanese American Catie Carlson has never fit in with her white family. As much as she loves her stepmom and stepsister, she yearns to understand more about her culture and find her biological mother. So Catie is shocked when an opportunity comes knocking on her door: Her summer spa coworker, Toby, says he'll teach her Mandarin. In exchange, she needs to teach him how to date so he can finally work up the courage to ask out his crush. The only problem is that Catie doesn't actually have any dating experience. But she can fake it. With her late father's copy of The Five Love Languages and all his annotated notes, Catie becomes the perfect dating coach. Or so she thinks. As she gets dangerously close to Toby and to finding out what really happened to her biological mom, she realizes that learning the language of love might be tougher than she thought. Stef

Geronimo Stilton and his friends, investigate unusual mysteries and solve crimes together. Collecting 3 volumes of previously published stories.Contains 3 stories!“Mr. and Mrs. Matched”When Geronimo Stilton gets signed up for a dating app, will he get matched with the rodent of his dreams, or will it be a mismatch?Thea Stilton worries Geronimo Stilton, her brother and famouse Editor-in-Chief of The Rodent's Gazette, may be living the lonely bachelor life. With Ben's help, they sign Geronimo up for a dating service. But what happens when the service gives him the most unlikely match?!“Top Model Thea”Geronimo is entrusted with the latest fashion secret from top designer, Felipolino, but Sally is after the information and she uses every dirty trick she can to get the scoop for herself, and leaves Geronimo fighting to clear his good name!Sally sends Shadow on a mission to frame Geronimo and ruin his good name and friendship with Felipolino so she can get the big scoop on the designer’s lat

The availability of packaged clustering programs means that anyone with data can easily do cluster analysis on it. But many users of this technology don't fully appreciate its many hidden dangers. In today's world of "grab and go algorithms," part of my motivation for writing this book is to provide users with a set of cautionary tales about cluster analysis, for it is very much an art as well as a science, and it is easy to stumble if you don't understand its pitfalls.Indeed, it is easy to trip over them even if you do! The parenthetical word usually in the title is very important, because all clustering algorithms can and do fail from time to time. Modern cluster analysis has become so technically intricate that it is often hard for the beginner or the non-specialist to appreciate and understand its many hidden dangers. Here's how Yogi Berra put it, and he was right:In theory there's no difference between theory and practice.In practice, there is ~Yogi BerraThis book is a step backwa

This book addresses elements of VANET alongwith communication components, functionality and configuration, including issues like security, speed of message forwarding, priority-based forwarding, and malicious node detections and preventions supported by examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols.

A new, twisting thriller from the New York Times bestselling author of The Coworker and The Housemaid!She's looking for the perfect man. He's looking for the perfect victim.Sydney Shaw, like every single woman in New York, has terrible luck with dating. She's seen it all: men who lie in their dating profile, men who stick her with the dinner bill, and worst of all, men who can't shut up about their mothers. But finally, she hits the jackpot.Her new boyfriend is utterly perfect. He's charming, handsome, and works as a doctor at a local hospital. Sydney is swept off her feet.Then the brutal murder of a young woman--the latest in a string of deaths across the coast--confounds police. The primary suspect? A mystery man who dates his victims before he kills them. Sydney should feel safe. After all, she is dating the guy of her dreams. But she can't shake her own suspicions that the perfect man may not be as perfect as he seems. Because someone is watching her every move, and if she doesn't

THE INSTANT SUNDAY TIMES BESTSELLER*A twisting psychological thriller from the author of The Coworker and The Housemaid. Once again, Freida McFadden proves that crimes of passion are often the bloodiest – and shows readers why her books continue to go viral on TikTok. ***She's looking for the perfect man.He's looking for the perfect victim. Sydney Shaw, like every single woman in New York, has terrible luck with dating. She's seen it all: men who lie in their dating profiles, men who stick her with the dinner bill, and worst of all, men who can't shut up about their mothers.Until she meets Tom. Tom is utterly perfect. He's charming, handsome, and works as a doctor at a local hospital.Sydney is swept off her feet. Then the brutal murder of a young woman - the latest in a string of deaths across the coast - confounds police. The primary suspect? A mystery man who dates his victims before he kills them.Sydney should feel safe. After all, she has Tom, the man of her dreams. But she can't s

This book demonstrates how to formulate the equations of mechanical systems. Providing methods of analysis of complex mechanical systems, the book has a clear focus on efficiency, equipping the reader with knowledge of algorithms that provide accurate results in reduced simulation time.The book uses Kane's method due to its efficiency, and the simple resulting equations it produces in comparison to other methods and extends it with algorithms such as order-nKane's method compensates for the errors of premature linearization, which are often inherent within vibrations modes found in a great deal of public domain softwareDescribing how to build mathematical models of multibody systems with elastic components, the book applies this to systems such as construction cranes, trailers, helicopters, spacecraft, tethered satellites, and underwater vehiclesIt also looks at topics such as vibration, rocket dynamics, simulation of beams, deflection, and matrix formulationFlexible Multibody Dynamics

This charming YA rom-com follows a strong-willed, ambitious teen as she teams up with her childhood frenemy to start a dating-advice column, perfect for fans of Emma Lord and Gloria Chao.Juliana Zhao is absolutely certain of a few things:1. She is the world's foremost expert on love.2. She is going to win the nationally renowned Asian Americans in Business Competition.When Juliana is unceremoniously dropped by her partner and she's forced to pair with her nonconformist and annoying frenemy, Garrett Tsai, everything seems less clear. Their joint dating advice column must be good enough to win and secure bragging rights within her small Taiwanese American community, where her family's reputation has been in the pits since her older sister was disowned a few years prior.Juliana always thought prestige mattered above all else. But as she argues with Garrett over how to best solve everyone else's love problems and faces failure for the first time, she starts to see fractures in this privile

A heartfelt and hilarious coming-of-age romcom for fans of HEARTSTOPPER, Casey McQuiston and Adam Silvera!High school is hard enough without falling for your worst enemy.Jonah Collins and Dylan Ramírez hate each other. Jonah views Dylan as a spoiled, arrogant golden boy, whilst Dylan has Jonah labelled as an attention-seeking show-off who never shuts his mouth.Their friends are convinced Jonah's and Dylan's mutual disdain is just thinly veiled lust - a rumour that surges like wildfire when the two wake up in one bed after homecoming.Horrified, the pair agree to use the faux pas to their advantage: they decide to keep up the fake dating ruse, then end their 'relationship' in a massive staged fight, proving their incompatibility once and for all.But the more time they spend together, the more they begin to question their true feelings. Could there be a fine line between love and hate after all?***Readers love THEY HATE EACH OTHER!'Delightfully funny' Reader Review'An incredible queer rom

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

A short, serious history of the co-development of sex and sexuality and the internet, and how the issues at their convergence increasingly define our lives: free speech, privacy, online banking, dating and social media, streaming technology, cultural and sexual appropriation, and mass data collection. From the moment there was an “online,” there was sex online. The famous test image used by software engineers to develop formats like the jpeg was “Lenna,” taken from Playboy’s November 1972 centerfold. Early bulletin boards and multi-user domains quickly came to serve their members sexual musings. Facebook started as a way to rate “hot or not” Harvard co-eds. In fact, virtually every significant development that defines the Internet we know and love (and hate) today―privacy issues, online payments and online banking, dating, social media, streaming technology, mass data collection―came out the meeting of sexuality and technology. And the kicker is, not only did sexuality vastly

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves as both a starting point for researchers and graduate students in mathematics trying to get into the field, as well as an invaluable reference for future research.

A new paradigm for scientific discovery through computational tools now permeates every aspect of astronomical research. Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original software implementations, and associated technologies to discover new phenomena and to make predictions in astronomy. The proceedings of IAU Symposium 362 summarizes ongoing developments in computational astrophysics through astronomers in diverse fields sharing their knowledge and approaches. It focuses on computational methods applied to speed up and broaden the scope of scientific studies, such as finding trends in observational data, high performance computing, automated search algorithms, and model predictability. Experts discuss a palette of challenging informational and technical developments, with the goal of coordinating their efforts and the improvement of techniques in pursuit of a wide range of astronomical studies, including fluid dynam

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.New for the second edition:“Programming-language agnostic” presentation using pseudocode.New chapter 1 covering

Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.

Feyi Adekola wants to learn how to be alive again.It’s been five years since the accident that killed the love of her life and she’s almost a new person now―an artist with her own studio, and sharing a brownstone apartment with her ride-or-die best friend, Joy, who insists it’s time for Feyi to ease back into the dating scene. Feyi isn’t ready for anything serious, but a steamy encounter at a rooftop party cascades into a whirlwind summer she could have never imagined: a luxury trip to a tropical island, decadent meals in the glamorous home of a celebrity chef, and a major curator who wants to launch her art career.She’s even started dating the perfect guy, but their new relationship might be sabotaged before it has a chance by the dangerous thrill Feyi feels every time she locks eyes with the one person in the house who is most definitely off-limits. This new life she asked for just got a lot more complicated, and Feyi must begin her search for real answers. Who is she ready to become

A New York Times bestselling author, National Book Award finalist, and ';one of our greatest living writers' (Shondaland) reimagines the love story in this fresh and seductive novel about a young woman seeking joy while healing from loss.Feyi Adekola wants to learn how to be alive again. It's been five years since the accident that killed the love of her life and she's almost a new person nowan artist with her own studio, and sharing a brownstone apartment with her ride-or-die best friend, Joy, who insists it's time for Feyi to ease back into the dating scene. Feyi isn't ready for anything serious, but a steamy encounter at a rooftop party cascades into a whirlwind summer she could have never imagined: a luxury trip to a tropical island, decadent meals in the glamorous home of a celebrity chef, and a major curator who wants to launch her art career. She's even started dating the perfect guy, but their new relationship might be sabotaged before it has a chance by the dangerous thrill

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

An exploration of how heteronormative bias is deeply embedded in the internet, hidden in algorithms, keywords, content moderation, and more.In The Digital Closet, Alexander Monea argues provocatively that the Internet became straight by suppressing everything that is not, forcing LGBTQ+ content into increasingly narrow channels―rendering it invisible through opaque algorithms, automated and human content moderation, warped keywords, and other strategies of digital overreach. Monea explains how the United States’ thirty-year “war on porn” has brought about the over-regulation of sexual content, which, in turn, has resulted in the censorship of much nonpornographic content―including material on sex education and LGBTQ+ activism. In this wide-ranging, enlightening account, Monea examines the cultural, technological, and political conditions that put LGBTQ content into the closet. Monea looks at the anti-porn activism of the alt-right, Christian conservatives, and anti-porn feminists, who

The New York Times bestselling author of The Unhoneymooners returns with an effervescent, "emotional...and surprising" (Shondaland) novel about what happens when two people with everything on the line are thrown together by science--or is it fate? Perfect for fans of The Rosie Project and One Plus One. In this "sexy, science-filled, and surprising romance full of warmth and wit" (Kirkus Reviews, starred review), single mom Jess Davis is a data and statistics wizard, but no amount of number crunching can convince her to step back into the dating world. After all, her father was never around, her hard-partying mother disappeared when she was six, and her ex decided he wasn't "father material" before her daughter was even born. Jess holds her loved ones close but working constantly to stay afloat is hard...and lonely. But then Jess hears about GeneticAlly, a buzzy new DNA-based matchmaking company that's predicted to change dating forever. Finding a soulmate through DNA? The reliability o

This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations a

The final installment in the chilling Fogg Lake trilogy by New York Times bestselling author Jayne Ann Krentz. Olivia LeClair's experiment with speed dating is not going well. First there was the nasty encounter with the date from hell who tried to murder her and now the mysterious Harlan Rancourt--long believed dead--sits down at her table and tells her she's the only one who can help him locate the legendary Vortex lab. This is not what Olivia had in mind when she signed up for the Four Event Success Guaranteed package offered by the dating agency. She doesn't have much choice, though, because her psychic investigation firm works for the mysterious Foundation and Victor Arganbright, the director, is adamant that she assist Harlan. There's just one problem--no one knows Harlan's real agenda. His father once ran the Foundation like a mob organization, and Harlan was destined to be his heir. There's a real possibility Harlan has returned to claim his inheritance. For now, however, it's

'Elegantly written ... it is more relevant than ever' The TimesControl of consciousness determines the quality of lifeWhat really makes us feel glad to be alive?Combining over 40 years of ground-breaking research with practical advice, world-renowned psychologist Mihaly Csikszentmihalyi reveals the key to optimal experience: flow.This classic work of psychology is your essential guide to unlocking a happier, more fulfilling state of being.

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras in several projects.Explains the fundamentals of Artificial Neural Networks (ANNs).Presents several examples and applications of ANNs.Learning the most popular DL algorithms features.Explains and provides examples for the DL algorithms that are presented in this book.Analyzes the DL network's parameter and hyperparameters.Reviews state-of-the-art DL examples.Necessary and main steps for DL modeling.Implements a Virtual Assistant Robot (VAR) using DL methods.Necessary and fundamental information to choose a proper DL algorithm.Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry

Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-sem

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

An accessible analysis of the new forms of work whose seismic changes will increasingly determine the future of capitalism Automation and the decline in industrial employment have lead to rising fears of a workless future. But what happens when your work itself is the thing that will make your job obsolete? In the past few years, online crowdworking platforms - like Amazon's Mechanical Turk and Clickworker - have become an increasingly important source of work, particularly for those in the Global South. Here, small tasks are assigned to people online, and are often used to train algorithms to spot patterns, patterns through machine learning those same algorithms will then be able to spot more effectively than humans. Used for everything from the mechanics of self-driving cars to Google image search, this is an increasingly powerful part of the digital ecomomy. But what happens to work when it makes itself obsolete. In this stimulating work that blends political economy, studies of con

Two exes must revisit their past after their siblings start dating in this #ownvoices rom-com that is perfect for fans of Sandhya Menon, David Yoon, and Morgan Matson.After Kiran Noorani’s mom died, K

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and res