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Why are some problems easy to solve, while others seem nearly impossible? What can we compute with a given amount of time or memory, and what cannot be computed at all? How... Læs mere
This text presents a wide variety of common and new types of models. Sections begin with a general description of the scenario being modeled. The model is built using... Læs mere
An Introduction to Numerical Methods: A MATLAB (R) Approach, Fourth Edition presents a wide range of useful and important algorithms for scientific and engineering applications.
This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and... Læs mere
Covers how to define and compute standard geometric functions using Mathematica for constructing various curves and surfaces from... Læs mere
Introduction to Time Series Modeling: with Applications in R, Second Edition covers numerous stationary and nonstationary time series models... Læs mere
Aimed at undergraduates and graduates in computer science, logic, mathematics, and philosophy, this text is a lively and entertaining introduction to formal logic and provides an excellent insight into how a simple logic works.
An intermediate level text covering foundational ideas in statistics and their ecological application, including generalized linear and... Læs mere
This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability... Læs mere