Force Point (Fp) Counting will help you to count your hand directly in contract tricks (the tricks that are above the initial 6 tricks, which are not counted in the game of bridge). The Fp Counting itself is a new low of the Total Tricks, much better than the old one. The sum of both hands contract tricks, yours and your partner, will give to you the game's Play Level (PL). No need evaluations by the time of the initial count, but one of you, who will ask his partner to reveal the exact distribution (between around 500 possible distributions), must apply some tricks' adjustments when a new distribution changes are discovered by the time of the Bidding. When you discover partner's exact shape, you will ask for the exact number of the contract tricks, thus finding your exact PL. Then if the PL = 5.5 you must ask your partner for all of the TOP Honors. With Fp you will be able to discover all of the partner's Aces + Kings + Queens with one only question - one answer! No other bridge system is capable of doing that! Then you have to calculate the final PL, and may ask your partner where are the TOP Honors or directly to choose the final contract. The calculations are for a 7 grader, so the difficult decisions in the game of bridge proved to be a simple arithmetic, not even a math. Using one only SCOR-SCOR Convention for all of your Distribution and Control needs (along with the classical Stayman, of course) will allow to you to see transparently the exact cards and lengths of the suits of your partner before the attack. The Playing is your own responsibility, I can only assist you about the Bidding. On Bidding Contests with 12 TOP Matchpoint scoring, Fp will provide to you no less than 70% (usually close to 80%), but pay attention that on such Contests you will have to bid most difficult distributional games collected around the world. For the love of the Game Force Point Bidding Developer: Mr. Pawell Boiew

Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data.

This book presents a process for problem resolution, policy crafting, and decision making based on the use of modeling and simulation. Detailed descriptions of the methods by which Visual SLAM and AweSim, version 3, support this process are presented. The text is organized into four parts: Introduction to Simulation, Visual SLAM Network Modeling and AweSim, Simulation Analysis, and Visual SLAM Discrete, Continuous and Combined Modeling.

Welcome to this series of Short Talking Books. This volume focuses on the careers of Bjorn Borg, Jimmy Connors and John McEnroe in their respective Grand Slam Finals. The book is written in a conversational question and answer format. The print size offers an easier read for small devices like mobile phones.

Robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into human en- ronments and vigorously engaged in its new challenges. Interacting with, assisting, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. Beyond its impact on physical robots, the body of knowledge robotics has p- duced is revealing a much wider range of applications reaching across diverse research areas and scienti?c disciplines, such as: biomechanics, haptics, neu- sciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the ?eld of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The SpringerTracts in AdvancedRobotics(STAR) is devoted to bringing to the research community the latest advances in the robotics ?eld on the basis of their signi?cance and quality. Through a wide and timely dissemination of critical - search developments in robotics, our objective with this series is to promote more exchanges and collaborations among the researchers in the community and c- tribute to further advancements in this rapidly growing ?eld.

This book presents the development of SLAM-based mobile robot control systems as an integrated approach that combines the localization, mapping and motion control fields, and reviews several techniques that represent the basics of the mathematical description of wheeled robots, their navigation and path planning approaches, localization and map creating techniques. It examines SLAM paradigms and Bayesian recursive state and map estimation techniques, which include Kalman and particle filtering, and enable the development of a SLAM-based integrated system for the inspection task performed. The system’s development is divided into two phases: a single-robot approach and multirobot inspection system. The book describes an original approach to 2D SLAM in multi-floor buildings that covers each 2D level map, as well as continuous 3D pose tracking, and views the multirobot inspection system as a group of homogeneous mobile robots. The last part of the book is dedicated to multirobot map creation and the development of path planning solutions, which allow the robots’ homogeneous behavior and configuration to be used to develop a multirobot system without theoretical limitations on the number of robots used.

This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

How do slam poets and their audiences reflect the politics of difference?