The Finite Element Method (FEM) has become an indispensable technology for the modelling and simulation of engineering systems. Written for engineers and students alike, the aim of the book is to provide the necessary theories and techniques of the FEM for readers to be able to use a commercial FEM package to solve primarily linear problems...

"A powerful scientific framework, grounded in evolutionary biology, that helps us think about leadership successes and failures throughout history and how we might address humanity's need for better leadership going forward."
—Nitin Nohria, Dean, Harvard...

In order to understand drug metabolism at its most fundamental level, pharmaceutical scientists must be able to analyze drug compound structures and predict possible metabolic pathways in order to avoid the risk of adverse reactions that lead to the withdrawal of a drug from the market. This comprehensive textbook will aid in guiding students...

The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly...

• Get to grips with the concepts of machine learning through exciting real-world examples
• Visualize and solve complex problems...

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB^® and...

Presenting the first database of its kind, this unique reference illustrates the relationships between the chemistry and developmental toxicity of a number of important pharmaceuticals and industrial toxicants. Human Developmental Toxicants contains up-to-date and concise information on the chemical structures, properties, and biological...

Salesforce.com has a rapidly expanding influence over the way companies across the globe interact with their clientele. Written by Salesforce.com insiders with years of experience in customer relationship management (CRM) solutions, Salesforce.com For...

• Understand the principles of Bayesian Inference with less mathematical equations
• Learn state-of-the art Machine Learning methods
• Familiarize...

• Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
• Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
• Build models relating to neural...