Showing posts with label professional. Show all posts
Showing posts with label professional. Show all posts

Introduction to Probability Models, Ninth Edition Review

Introduction to Probability Models, Ninth Edition
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The first four chapters alone (intro, random variables, conditonal probability, markov chains) are worth the price of the book. The author packs each chapter with very interesting examples and problems. The one I found most interesting was his probabilistic analysis of the 2-SAT and SAT problems of computer science. Here he gives an informal math argument as to why 2-SAT is polynomial time decidable and why SAT should be intractable.
On the other hand, I think someone relatively new to probability theory may find his neat problems and examples a bit too much with a first reading. The book is in its seventh edition, and I think Ross has taken advantage of this by providing newer insights and more interesting problems, but in doing so it may overwhelm the novice.
If you are learning probability for the first or second time, I recommend you supplement this book with Roussas "A Course in Mathematical Statistics". Despite its title, the first 9 chapters give a calculus-based intro to probability. And the rest of the book is *excellent* for a calculus-based intro to statistics.

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Martingale Methods in Financial Modelling (Stochastic Modelling and Applied Probability) Review

Martingale Methods in Financial Modelling (Stochastic Modelling and Applied Probability)
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I've been using this book on and off over the last year. At first I was very impressed with the level of detail in the mathematics, especially as it was the only book at the time focussing on risk-neutral methods and covering BGM. But I've become increasing disillusioned with it of late. It's difficult to explain, but although the whole book is written in traditional theorem-proof style, there are no real proofs! (I have a PhD in math and have done research for 10 years so I should know a little about proofs.) The only "proofs" provided are basically symbol shifting, but the heart of the math is strangely absent. This is especially strange given the Springer series in which it appears.
In short, if you want a catalogue of methods this book does the job, but if you want a deeper understanding try Lars Nielsens book.

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A new edition of a successful, well-established book that provides the reader with a text focused on practical rather than theoretical aspects of financial modellingIncludes a new chapter devoted to volatility riskThe theme of stochastic volatility reappears systematically and has been revised fundamentally, presenting a much more detailed analyses of interest-rate models

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Autonomous Robots: Modeling, Path Planning, and Control Review

Autonomous Robots: Modeling, Path Planning, and Control
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Fahimi's book can be considered a specialisation of the recent Springer Springer Handbook of Robotics. The current book explains the control systems theory behind having a robot operate independently. The kinematics can be quite involved, and you should already have a good background in matrix algebra.
Important special cases treated include have multiple mobile robots and planning their interdependent paths. These are in the presence of various potential energy functions. In some scenarios the paths are on a two dimensional surface, like land or at sea level. While in others, the paths are fully three dimensional, as for flying robots or those under the sea.
The concept of an autopilot for maintaining constant velocity on a surface is seen as an important but fundamentally simple situation.
Each chapter ends with a short set of problems; making the text suitable for a university course.

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It is at least two decades since the conventional robotic manipulators have become a common manufacturing tool for different industries, from automotive to pharmaceutical. The proven benefits of utilizing robotic manipulators for manufacturing in different industries motivated scientists and researchers to try to extend the applications of robots to many other areas by inventing several new types of robots other than conventional manipulators. The new types of robots can be categorized in two groups; redundant (and hyper-redundant) manipulators, and mobile (ground, marine, and aerial) robots. These groups of robots, known as advanced robots, have more freedom for their mobility, which allows them to do tasks that the conventional manipulators cannot do.Engineers have taken advantage of the extra mobility of the advanced robots to make them work in constrained environments, ranging from limited joint motions for redundant (or hyper-redundant) manipulators to obstacles in the way of mobile (ground, marine, and aerial) robots.Since these constraints usually depend on the work environment, they are variable. Engineers have had to invent methods to allow the robots todeal with a variety of constraints automatically. A robot that is equipped with those methods is called an Autonomous Robot.Autonomous Robots: Kinematics, Path Planning, and Control covers the kinematics and dynamic modeling/analysis of Autonomous Robots, as well as the methods suitable for their control. The text is suitable for mechanical and electrical engineers who want to familiarize themselves with methods of modeling/analysis/control that have been proven efficient through research.

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Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing) Review

Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)
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This book has everything a new grad student or aspiring roboticist would want. It covers the mechanics, the controls and even some vision for robotic manipulators. Very nice resource.

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Quantitative Modeling of Derivative Securities: From Theory To Practice Review

Quantitative Modeling of Derivative Securities: From Theory To Practice
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This is a surprisingly sloppy book written by a known academic in the financial engineering world. That is Marco Avellaneda. At first sight, this book is a good idea. It is suppose to bridge the gap between literature that are too simplified for quants and the high level books that are too mathematically rigorous for pratitioners. However this book is presented in such a sloopy manner that any profit driven company would sack these two authors. There are typo mistakes in almost every page and some fundamental errors. There are numerical examples there are completely wrong. On top of that, who writes a quant book without giving any exercises. The authors should comprehend that mistakes in quantitative books can be very misleading to the reader especially if the reader is trying to learn. If you don't have a Ph.D. in Math, don't read this book. It might do more harm than good.

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