Mathematics

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Student Handbook for Discrete Mathematics with Ducks: SRRSLEH

sarah-marie belcastro
August 05, 2015

Student Handbook for Discrete Mathematics with Ducks is a Student Reference, Review, Supplemental Learning, and Example Handbook (SRRSLEH) that mirrors the content of the author’s popular textbook Discrete Mathematics with Ducks (DMwD). This handbook provides a review of key material, illustrative...

Advanced Numerical Simulation Methods: From CAD Data Directly to Simulation Results

Gernot Beer
July 27, 2015

This book is an entertaining, easy to read introduction to advanced numerical modeling. The aim of the book is to lead the reader on a journey towards the ‘holy grail’ of numerical simulation, namely one without the requirement of mesh generation, that takes data directly from CAD programs. On this...

Abstract Algebra: Structures and Applications

Stephen Lovett
July 17, 2015

A Discovery-Based Approach to Learning about Algebraic Structures Abstract Algebra: Structures and Applications helps students understand the abstraction of modern algebra. It emphasizes the more general concept of an algebraic structure while simultaneously covering applications. The text can be...

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

Justin Solomon
July 13, 2015

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook...

Principles of Copula Theory

Fabrizio Durante, Carlo Sempi
July 07, 2015

Principles of Copula Theory explores the state of the art on copulas and provides you with the foundation to use copulas in a variety of applications. Throughout the book, historical remarks and further readings highlight active research in the field, including new results, streamlined...

Basics of Matrix Algebra for Statistics with R

Nick Fieller
July 06, 2015

A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics,...

Adversarial Risk Analysis

David L. Banks, Jesus M. Rios Aliaga, David Rios Insua
June 30, 2015

Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA) A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods...

Introduction to Computational Linear Algebra

Nabil Nassif, Jocelyne Erhel, Bernard Philippe
June 26, 2015

Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer Programming Introduction to Computational Linear Algebra presents classroom-tested material on computational linear algebra and its application to numerical solutions of partial and ordinary differential equations...

Partial Differential Equations with Variable Exponents: Variational Methods and Qualitative Analysis

Vicentiu D. Radulescu, Dusan D. Repovs
June 24, 2015

Partial Differential Equations with Variable Exponents: Variational Methods and Qualitative Analysis provides researchers and graduate students with a thorough introduction to the theory of nonlinear partial differential equations (PDEs) with a variable exponent, particularly those of elliptic type...

Search and Foraging: Individual Motion and Swarm Dynamics

Eugene Kagan, Irad Ben-Gal
June 23, 2015

Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and intelligent machines. In particular, the methods of search and foraging are the benchmark problems for robotics and multi-agent systems. The highly developed theory of search...

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications

Vidyadhar S. Mandrekar, Leszek Gawarecki
June 23, 2015

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs). The book begins with...

Artificial Superintelligence: A Futuristic Approach

Roman V. Yampolskiy
June 19, 2015

A day does not go by without a news article reporting some amazing breakthrough in artificial intelligence (AI). Many philosophers, futurists, and AI researchers have conjectured that human-level AI will be developed in the next 20 to 200 years. If these predictions are correct, it raises new and...

Conferences

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