Who What When Where Trivia for Smart Kids: 150+ Questions, Interesting Fun Facts, and Riddles About Science, Math, Animals, Movies, and So Much More … Einstein! (A Trivia Nerd Guide to Having Fun) by Independently published English | September 17, 2020 | ISBN: N/A | ASIN: B08JBG3XBB | 88 pages | AZW3 | 1.40 Mb
King of math books for kindergarteners: Homeschool | Addition and Subtraction Activities and 1st Grade Workbook | books basics by Dr.ferar English | 2020 | ISBN: N/A | ASIN: B08J465S38 | 41 pages | PDF | 6.71 Mb
Mathematical Models for Eddy Currents and Magnetostatics: With Selected Applications by Rachid Touzani English | EPUB | 2014 | 309 Pages | ISBN : 9400702019 | 5.64 MB
This monograph addresses fundamental aspects of mathematical modeling and numerical solution methods of electromagnetic problems involving low frequencies, i.e. magnetostatic and eddy current problems which are rarely presented in the applied mathematics literature. In the first part, the authors introduce the mathematical models in a realistic context in view of their use for industrial applications.
Deep Reinforcement Learning for Wireless Networks by F. Richard Yu English | PDF(Reospt),EPUB | 2019 | 78 Pages | ISBN : 3030105458 | 10.3 MB
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme.
Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python by Venelin Valkov English | PDF | 2020 | 124 Pages | ASIN : B07TKYBGJD | 4.46 MB
This book will guide you on your journey to deeper Machine Learning understanding by developing algorithms in Python from scratch! Learn why and when Machine learning is the right tool for the job and how to improve low performing models!
Build Machine Learning models (especially Deep Neural Networks) that you can easily integrate with existing or new web apps. Think of your ReactJs, Vue, or Angular app enhanced with the power of Machine Learning models.
System Reduction for Nanoscale IC Design by Peter BenMBner English | PDF | 2017 | 205 Pages | ISBN : 3319072358 | 6.43
This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate circuit and device simulation for specific tasks in the design cycle.
Cryptography Arithmetic: Algorithms and Hardware Architectures by Amos R. Omondi English | EPUB | 2020 | 338 Pages | ISBN : 3030341410 | 12.37 MB
Modern cryptosystems, used in numerous applications that require secrecy or privacy - electronic mail, financial transactions, medical-record keeping, government affairs, social media etc. - are based on sophisticated mathematics and algorithms that in implementation involve much computer arithmetic. And for speed it is necessary that the arithmetic be realized at the hardware (chip) level. This book is an introduction to the implementation of cryptosystems at that level.
Finite Element and Discontinuous Galerkin Methods for Transient Wave Equations by Gary Cohen English | PDF(Repost),EPUB | 2017 | 393 Pages | ISBN : 9401777594 | 17.6 MB
This monograph presents numerical methods for solving transient wave equations (i.e. in time domain). More precisely, it provides an overview of continuous and discontinuous finite element methods for these equations, including their implementation in physical models, an extensive description of 2D and 3D elements with different shapes, such as prisms or pyramids, an analysis of the accuracy of the methods and the study of the Maxwell’s system and the important problem of its spurious free approximations.
Bayesian Compendium by Marcel van Oijen English | EPUB | 2020 | 209 Pages | ISBN : 3030558967 | 13.64 MB
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show readers: Bayesian thinking isn’t difficult and can be used in virtually every kind of research. In addition to revealing the underlying simplicity of statistical methods, the book explains how to parameterise and compare models while accounting for uncertainties in data, model parameters and model structures.
Theory of Algebraic Surfaces by Kunihiko Kodaira English | EPUB | 2020 | 86 Pages | ISBN : 9811573794 | 8.59 MB
This is an English translation of the book in Japanese, published as the volume 20 in the series of Seminar Notes from The University of Tokyo that grew out of a course of lectures by Professor Kunihiko Kodaira in 1967.