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Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)
With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather... | | Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook)Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and... | | |
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Physics for Everyone: Motion Heat
The first question which the reader, taking this book in his hands, asks himself is: for whom is this book "for everyone"? Of course, there is some exaggeration in the title. An acquaintance with the fundamentals of high school algebra is sufficient for the reader of this book. No knowledge of physics is needed: it can be your first... | | C++ for Everyone
This book gives an introduction into C++ and computer programming that focuses on the essentials—and on effective learning. The book is suitable for a first course in programming for computer scientists, engineers, and students in other technical or scientific disciplines. No prior programming experience is required, and only a modest... | | Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... |
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| | Matrix Algorithms, Volume IThis book, Basic Decompositions, is the first volume in a projected five-volume series entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.
My intended audience is the nonspecialist... | | |
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