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Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)

Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by...

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...

Introduction to Algorithms, Third Edition (International Edition)
Introduction to Algorithms, Third Edition (International Edition)

A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms...

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...

Modelling Financial Derivatives with MATHEMATICA ®
Modelling Financial Derivatives with MATHEMATICA ®

One of the most important tasks in finance is to find good mathematical models for financial products, in particular derivatives. However, the more realistic the model, the more practitioners face still-unsolved problems in rigorous mathematics and econometrics, in addition to serious numerical difficulties. The idea behind this book is to...

Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments

Explains for the first time how "computing with words" can aidin making subjective judgments

Lotfi Zadeh, the father of fuzzy logic, coined the phrase"computing with words" (CWW) to describe a methodology in which theobjects of computation are words and propositions drawn from anatural language....

Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)
Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the...

A Modern Approach to Regression with R (Springer Texts in Statistics)
A Modern Approach to Regression with R (Springer Texts in Statistics)

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We...

Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving (The MIT Press)
Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving (The MIT Press)
Too much mathematical rigor teaches rigor mortis: the fear of making an unjustified leap even when it lands on a correct result. Instead of paralysis, have courage—shoot first and ask questions later. Although unwise as public policy, it is a valuable problem-solving philosophy, and it is the theme of this book: how to...
Precalculus, 9th Edition
Precalculus, 9th Edition

Larson's market-leading text, PRECALCULUS is known for delivering sound, consistently structured explanations and exercises of mathematical concepts to expertly prepare students for the study of calculus. With the ninth edition, the author continues to revolutionize the way students learn material by incorporating more real-world...

Numerical Methods in Finance with C++ (Mastering Mathematical Finance)
Numerical Methods in Finance with C++ (Mastering Mathematical Finance)

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book...

The Art of Computer Programming: Volume 3: Sorting and Searching (2nd Edition)
The Art of Computer Programming: Volume 3: Sorting and Searching (2nd Edition)

The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.

 

Byte, September 1995

 

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