To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This chapter introduces linear regression, the workhorse of statistics and (supervised) learning, which relates an input vector to an output response by means of linear combination.
This chapter introduces the basic terminology and formalism on graph theory. Next, we introduce various types of networks that are of interest in finance.
This chapter introduces the representation and organization of data. We illustrate standard preliminary data manipulation and visualization techniques.
In this chapter, we introduce principal component analysis (PCA), a common practice to reduce its dimensionality, and discuss the link between PCA and low-rank approximations.
This chatper first introduces the kernel trick, which allows us to operate in the original lower-dimensional domain. We then discuss decision tree and ensemble methods for reducing data over-fitting.
This chapter introduces the numerical convex optimization problem that minimize a certain objective function subject to some constraints. We also introduce an efficient algorithm for solving such problems.
This chapter introduces the classical mean/variance portfolio design approach, and discusses extensions of the basic model, including transaction costs, market impact, and risk beyond the variance.
This chapter provides an overview of the topics covered in this, the book’s structure, the scope and presentation of the books, and the target audience for the book.
In this chapter we introduce the main concepts of neural networks (NNs). Next, we present the main building blocks of a neural network and we discuss the most common training techniques.
In this chapter, we focus on linear classifiers such as logistic regression, and linear support vector machines. We then extend to the multi-class case and discuss issues of regularization, sparsity, robustness, and class imbalanace.
The understanding of fundamental concepts of electrical engineering is necessary before moving on to more advanced concepts. This book is designed as a textbook for an introductory course in electrical engineering for undergraduate students from all branches of engineering. The text is organized into fourteen chapters, and provides a balance between theory and applications. Numerous circuit diagrams and explicit illustrations add to the readability of the text. The authors have covered some important topics such as electromagnetic field theory, electrostatics, electrical circuits, magnetostatics, network theorems, three-phase systems and electrical machines. A separate chapter on measurement and instrumentation covers important topics including errors in measurement, electro-mechanical indicating instruments, current transformers and potential transformers in detail. Pedagogical features are interspersed throughout the book for better understanding of concepts.
This book develops and simplifies the concept of quantum mechanics based on the postulates of quantum mechanics. The text discusses the technique of disentangling the exponential of a sum of operators, closed under the operation of commutation, as the product of exponentials to simplify calculations of harmonic oscillator and angular momentum. Based on its singularity structure, the Schrödinger equation for various continuous potentials is solved in terms of the hypergeometric or the confluent hypergeometric functions. The forms of the potentials for which the one-dimensional Schrödinger equation is exactly solvable are derived in detail. The problem of identifying the states of two-level systems which have no classical analogy is addressed by going beyond Bell-like inequalities and separability. The measures of quantumness of mutual information in two two-level systems is also covered in detail.
Written for undergraduate students with little or no exposure to economics, this introductory textbook offers a new perspective on environmental economics for the 21st century. It explains how economics for a sustainable world requires a new approach: accepting that the economy is intrinsically dependent on nature. Drawing on up-to-date case studies from around the globe, the book examines how economic concepts and techniques can apply to a wide range of environmental challenges while ensuring that poor and vulnerable members of society are included in progress toward sustainable development. The book also addresses current environmental policy options and innovations at the local, regional, and international levels. Chapters cover key topics such as climate change, pollution, energy, minerals, forests, land use, oceans, biodiversity, and water scarcity. Included in the book are the following pedagogical features: learning objectives, boxed examples, discussion questions, lists of further resources, and a glossary.
When speaking, speakers break down the continuous stream of sounds into smaller units – so-called intonation phrases. Within these intonation phrases, we find a rhythmic pattern of unstressed and stressed syllables, similar to the word stress that we already saw in individual words. This chapter investigates which principles speakers follow when rhythmically grouping the speech flow. Like word stress, the rhythmic structure of utterances does not distinguish meaning in English, or it only does so in a very limited way. However, it does serve important linguistic functions. Additionally, speakers pronounce intonation phrases with specific melodic patterns. Intonation will be dealt with in detail in the subsequent chapter. Rhythm and intonation constitute the suprasegmental level. Even though the suprasegmental level plays a secondary role in the language system of English, rhythm and intonation serve several crucial functions in communicative situations.