Guide of Dating Made Easy - Loving Lolita Who hasn't found themselves on the receiving end of a painful heartbreak? In this touching and helpful guide, the author seamlessly explains the stages you go though after a break-up, and how to cope with the pain while also remembering to take care of you! Interwoven with compassionate tips for surviving those first few painful months is a fascinating erotic novella of a woman's passionate, but ultimately doomed relationship. Follow her tale as she finds unexpected love, fulfils her erotic dreams and experiences the pain of love lost. Ultimately, this is an uplifting book, as the author shows how to recover from the pain of a break-up and how to move on to the ultimate happiness both with yourself and with a partner when you're ready. You won't want to put this guide down once you get started!
When You're Ready to Start Dating Again... Whether you're ready to start dating again, or just thinking about it, this book will help you. What you'll learn... - The real reason your marriage failed...and how to make sure it never happens again. - What women really want from a man! (Nine out of ten men are absolutely floored by this secret... They didn't have the slightest clue...) - The single biggest turn-on of every woman...and how a man who knows how to give it to her will never have relationship problems. - Exactly where to find women who will offer "support and friendship" (...or just sex) - Approaching women for dates... What you must know! Sex with Strippers? Yes! This Book Covers Everything... - An honest "mistake" which makes women think you're desperate...and how to avoid making it. - Dating your Ex? It can be a good idea...sometimes. - How to compete with younger, hotter guys and still date attractive women. (It's probably not what you're thinking...) - The single most important thing you can do to make yourself more attractive to the opposite sex! - The number one rule, which absolutely must be observed, for women to be truly interested in you!
Today the methods of applied statistics have penetrated very different fields of knowledge, including the investigation oftexts ofvarious origins. These "texts" may be considered as signal sequences of different kinds, long genetic codes, graphic representations (which may be coded and represented by a "text"), as well as actual narrative texts (for example, historical chronicles, originals, documents, etc. ). One ofthe most important problems arising here is to recognize dependent text, i. e. , texts which have a measure of "resemblance", arising from some kind of "common origin". For instance, in pattern-recognition problems, it is essential to identify from a large set of "patterns" a pattern that is "closest" to a given one; in studying long signal sequences, it is important to recognize "homogeneous subsequences" and the places of their junction. This includes, in particular, the well-known change-point prob lern, which is given considerable attention in mathematical statistics and the theory of stochastic processes. As applied to the study of narrative texts, the problern of recognizing depen- dent and independent texts ( e . g. , chronicles) Ieads to the problern offinding texts having a common source, i. e. , the sameoriginal (such texts are naturally called dependent), or, on the contrary, having different sources (such texts are natu- rally called independent). Clearly, such problems are exceedingly complicated, and therefore the appearance of new empirico-statistical recognition methods which, along with the classical approaches, may prove useful in concrete studies (e. g. , source determination) is welcome.