Until recently, Markov models and analytical methods were fairly obscure mathematical techniques rarely applied outside of academic settings. The advent of functional safety standards, particularly ...

Risk modeling comes in varying shapes and sizes throughout the financial world. Having previously worked as a derivatives trader on the Chicago Board Options Exchange and as a senior risk analyst, I ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Reservoir modelling and history matching techniques form a cornerstone of modern subsurface engineering. These methodologies provide a framework for simulating geological formations and calibrating ...

Infiltration modelling is an essential pillar of modern agricultural water management, providing vital insights into the movement of water through soil systems. The development of both empirical and ...

Advances in process modeling have given industry the tools to better understand the complex operations used to make medicines. The challenge now is understanding how best to combine the various ...

Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Threat modeling is a structured process through which IT pros can identify potential security threats and vulnerabilities, quantify the seriousness of each, and prioritize techniques to mitigate ...