Maths for Scientists

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational...

This book is an introduction to nonlinear programming. It deals with the theoretical foundations and solution methods, beginning with the classical...

The theory of distributions has numerous applications and is extensively used in mathematics, physics and engineering. There is however relatively ...

Through its inclusion of specific applications, The Mathematical Theory of Elasticity, Second Edition continues to provide a bridge between the the...

Mathematician and popular science author Eugenia Cheng is on a mission to show you that mathematics can be flexible, creative, and visual. This joy...

An essential tool made transparent: this book explains the theory behind current numerical methods and shows how to use them in a step-by-step fash...

Biostatistics from Scratch is an accessible, student-friendly introduction to the key statistical techniques used within the biological and environ...

Biostatistics from Scratch is an accessible, student-friendly introduction to the key statistical techniques used within the biological and environ...

Statistical analysis allows us to attach meaning to data that we have collected; it helps us to understand what experimental results really mean, a...

There has been a tremendous increase in the breadth of application of Bayesian methods to problems in industry in the last twenty or so years. Howe...

Prepare students for success in using applied mathematics for engineering practice and post-graduate studies Moves from one mathematical method to...

Table of contents: Stochastic methods in nonlinear structural dynamics.- Stochastic models of uncertainties in computational structural dynamics an...

The Monte Carlo method, largely the brainchild of Stanislaw Ulam and first implemented by John von Neumann, depends upon the use of digital compute...

Artificial Boundary Method systematically introduces the artificial boundary method for the numerical solutions of partial differential equations i...

The book presents the state of the art in high performance computing and simulation on modern supercomputer architectures. It covers trends in hard...

The goal of Algorithmic Mathematics in Machine Learning is to explore several well-known machine learning and data analysis algorithms from a mathe...

Covers multivariable calculus, starting from the basics and leading up to the three theorems of Green, Gauss, and Stokes, but always with an eye on...

The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) ...

Calculations in Chemistry is intended to help students overcome the challenges associated with solving numerical problems in chemistry. Chemistry i...

Exam Board: SQALevel: HigherSubject: ChemistryFirst Teaching: September 2014First Exam: Summer 2015Ideal practice material for one of the most chal...

Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics...

This Student Solution Manual provides complete solutions to all the odd-numbered problems in Foundation Mathematics for the Physical Sciences. It t...

Famous mathematical constants include the ratio of circular circumference to diameter, = 3.14 , and the natural logarithm base, e = 2.718 . Studen...

Intractability is a growing concern across the cognitive sciences: while many models of cognition can describe and predict human behavior in the la...

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to...

Graph theory can be applied to ecological questions in many ways, and more insights can be gained by expanding the range of graph theoretical conce...

Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range ...

Includes nearly 4,000 linear partial differential equations (PDEs) with solutions Presents solutions of numerous problems relevant to heat and mas...

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finan...

The conjugate gradient (CG) algorithm is almost always the iterative method of choice for solving linear systems with symmetric positive definite m...

Suitable for advanced undergraduate and graduate students, this new textbook contains an introduction to the mathematical concepts used in physics ...

This book uses Python to teach mathematics not found in the standard curriculum, so students learn a popular programming language as well as some i...

In this textbook on calculus of one variable, applications to the natural sciences play a central role. Examples from biology, chemistry, and physi...

The Leibniz Supercomputing Centre (LRZ) and the Bavarian Competence Network for Technical and Scienti?c High Performance Computing (KONWIHR) publis...

Designed as an introduction to numerical methods for students, this book combines mathematical correctness with numerical performance, and concentr...

Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis o...

'Radlin has done a nice job in producing a textbook which provides a learner friendly introduction to difference equations. It would suit as a core...