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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Structural Geology Algorithms: Vectors and Tensors
Structural Geology Algorithms: Vectors and Tensors

State-of-the-art analysis of geological structures has become increasingly quantitative but traditionally, graphical methods are used in teaching. This innovative lab book provides a unified methodology for problem-solving in structural geology using linear algebra and computation. Assuming only limited mathematical training, the book begins...

Calculus, Vol. 2: Multi-Variable Calculus and Linear Algebra with Applications to Differential Equations and Probability
Calculus, Vol. 2: Multi-Variable Calculus and Linear Algebra with Applications to Differential Equations and Probability

Volume I presents one-variable calculus with an introduction to linear algebra and volume II presents multi-variable calculus and linear algebra, with applications to differential equations and probability

...
Fundamentals of Logic Design (with Companion CD-ROM)
Fundamentals of Logic Design (with Companion CD-ROM)

After studying this text, you should be able to apply switching theory to the solution of logic design problems.This means that you will learn both the basic theory of switching circuits and how to apply it. After a brief introduction, you will study Boolean algebra, which is the basic mathematical tool needed to analyze and synthesize...

Advanced Engineering Mathematics
Advanced Engineering Mathematics

Through previous editions, Peter O'Neil has made rigorous engineering mathematics topics accessible to thousands of students by emphasizing visuals, numerous examples, and interesting mathematical models. Advanced Engineering Mathematics features a greater number of examples and problems and is fine-tuned throughout to improve the clear...

Matrix Methods, Third Edition: Applied Linear Algebra
Matrix Methods, Third Edition: Applied Linear Algebra

Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is...

Quantum Computer Science (Synthesis Lectures on Quantum Computing)
Quantum Computer Science (Synthesis Lectures on Quantum Computing)
In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum...
Matrix Algorithms, Volume I
Matrix Algorithms, Volume I
This 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
...
Handbook of Time Series Analysis, Signal Processing, and Dynamics
Handbook of Time Series Analysis, Signal Processing, and Dynamics

It is hoped that this book will serve both as a text in time-series analysis and signal processing and as a reference book for research workers and practitioners. Timeseries analysis and signal processing are two subjects which ought to be treated as one; and they are the concern of a wide range of applied disciplines including statistics,...

Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!

Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of...

Combinatorics: Topics, Techniques, Algorithms
Combinatorics: Topics, Techniques, Algorithms

Combinatorics is a subject of increasing importance because of its links with computer science, statistics, and algebra. This textbook stresses common techniques (such as generating functions and recursive construction) that underlie the great variety of subject matter, and the fact that a constructive or algorithmic proof is more valuable...

Geometric Fundamentals of Robotics (Monographs in Computer Science)
Geometric Fundamentals of Robotics (Monographs in Computer Science)
Geometric Fundamentals of Robotics provides an elegant introduction to the geometric concepts that are important to applications in robotics. This second edition is still unique in providing a deep understanding of the subject: rather than focusing on computational results in kinematics and robotics, it includes significant state-of-the...
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