This is a textbook version of my previous book [190]. Problems and solutions have been included, Appendix G has been added, more details have been presented, recent publications on evaluating Feynman integrals have been taken into account and the bi
In this paper, we present an efficient global illumination technique, and then we discuss the results of its extensive experimental validation. The technique is a hybrid of clusterbased hierarchical and progressive radiosity techniques, which does n
ii Integrated EMI/Thermal Design for Switching Power Supplies Wei Zhang (ABSTRACT) This work presents the modeling and analysis of EMI and thermal performance for switch power supply by using the CAD tools. The methodology and design guidelines are
This paper investigates the L network impedance matching analytically. The equation describing the effect of load impedance variation on the impedance matching performance is derived. The deviation from perfect match is proportional to the variation
The ratchet motion of a Brownian particle in a symmetric periodic potential under a rocking force that breaks the temporal symmetry is studied. As long as the relaxation time in the thermal background is much shorter than the forcing period, the uni
An analytically tractable design procedure is presented for a polarizing beam splitter (PBS) that uses frustrated total internal reflection and optical tunneling by a symmetric LHL trilayer thin-film stack embedded in a high-index prism.
Many computer vision problems (e.g., camera calibration, image alignment, structure from motion) are solved through a nonlinear optimization method. It is generally accepted that 2 nd order descent methods are the most robust, fast and reliable appr
Abstract: A novel hybrid implicit–explicit (HIE) finite-difference time-domain (FDTD) method, which is extremely useful for problems with very fine structures along the w-direction in cylindrical coordinate system, is presented. This method has high
Highlighting the new aspects of MATLAB(R) 7.10 and expanding on many existing features, MATLAB(R) Primer, Eighth Edition shows you how to solve problems in science, engineering, and mathematics. Now in its eighth edition, this popular primer continu
Sudoku Programming with C teaches you how to write computer programs to solve and generate Sudoku puzzles. This is a practical book that will provide you with everything you need to write your own books of Sudoku Classic and Samurai puzzles. But be
Power management is an important concern in sensor networks, because a tethered energy infrastructure is usually not available and an obvious concern is to use the available battery energy efficiently. However, in some of the sensor networking appli
Differential equations are vital to science, engineering and mathematics, and this book enables the reader to develop the required skills needed to understand them thoroughly. The authors focus on constructing solutions analytically and interpreting
Data-drivenness is about building tools, abilities, and, most cru‐ cially, a culture that acts on data. This chapter will outline what sets data-driven organizations apart. I start with some initial prerequi‐ sites about data collection and access.
Sudoku Programming with C teaches you how to write computer programs to solve and generate Sudoku puzzles. This is a practical book that will provide you with everything you need to write your own books of Sudoku Classic and Samurai puzzles. But be
深度贝叶斯学习: In this work we develop tools to obtain practical uncertainty estimates in deep learning, casting recent deep learning tools as Bayesian models without changing either the models or the optimisation. In the first part of this thesis we devel
Analysis of Robotic System Motion in SimMechanics and MATLAB GUI Environment。
Robots present considerably complicated electromechanical systems with mutual interactions
of robot mechanics and drives, at design of which the mechatronic approach shou
Algorithms for hyper-parameter optimization.pdf，讲述贝叶斯算法的TPE过程的专业论文The contribution of this work is two novel strategies for approximating f by modeling H: a hier
archical Gaussian Process and a tree-structured parzen estimator. These are described in
Abstract— Visual-inertial SLAM (VI-SLAM) requires a good
initial estimation of the initial velocity, orientation with respect
to gravity and gyroscope and accelerometer biases. In this paper
we build on the initialization method proposed by Martinell
Jason Brownlee 博士的最新力作，深度学习速成课程，共七个章节，每个章节用时5--30分钟，阅读速度根据个人的基础因人而异，很实用的技巧，书里代码运行一遍之后，保障有质的提升。Contents
Before We get started
Lesson 01: Better Deep Learning Framework
Lesson 02 batch size
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Lesson 03: Learning Rate Schedule
Lesson 04 Batch normali
