Book picks similar to
Numerical Geometry of Non-Rigid Shapes by Alexander Bronstein
computer-science
mathematics
science-tech
India's Railway Man: A Biography of E. Sreedharan
Rajendra B. Aklekar - 2017
The [Chithoni railway link] bridge was completed eleven weeks ahead of schedule and proved to be helpful to one and all.Two key railway projects changed the way India travels by train—the 760-km stretch of Konkan Railway and the Delhi Metro. Both the projects were up and running in seven years flat and the man in charge was Dr Elattuvalapil Sreedharan, popularly known as the Railway Man. He has been hailed as the messiah of new-age infrastructure projects and his success stories have become railway engineering benchmark.Respected, loved and equally hated, this book covers the amazing story of one man—his perseverance, beliefs, and public and private battles. India’s Railway Man: A Biography of E. Sreedharan is a tribute to this extraordinary man.
Barron's SAT Subject Test Math Level 2
Richard Ku - 2008
In chapters that follow, detailed topic reviews cover polynomial, trigonometric, exponential, logarithmic, and rational functions; coordinate and three-dimensional geometry; numbers and operations; data analysis, statistics, and probability; and graphing calculators, their operations and applications. Six full-length model tests with answers, explanations, and self-evaluation charts conclude this manual.
Information Theory, Inference and Learning Algorithms
David J.C. MacKay - 2002
These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.