applied calculus - 三民網路書店

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共271筆商品，14/14頁

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2 ─ Inference

90折

261.

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2 ─ Inference

作者：D. V. Lindley 出版社：Cambridge Univ Pr 出版日：1980/03/20 裝訂：平裝

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks. The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of the

定價：2014 元，優惠價：9 1813

無庫存，下單後進貨(到貨天數約45-60天)

262.

Mathematical Methods in Electrical Engineering

作者：Thomas B. A. Senior 出版社：Cambridge Univ Pr 出版日：1986/04/03 裝訂：精裝

In this volume, the author covers the mathematical methods appropriate to both linear-systems theory and signal processing. The text deals with a number of topics usually found in introductory linear-systems courses, such as complex numbers and Laplace transforms, and addresses additional topics such as complex variable theory and Fourier series and transforms. Although the discussion is mathematically self-contained, it assumes that the reader has a firm background in calculus and differential equations. Each chapter contains a number of worked examples plus exercises designed to allow the student to put concepts into practice. The author writes in a mathematically elegant yet relaxed and readable style, and provides interesting historical notes along the way. Undergraduate students of electrical engineering, applied mathematics, and related disciplines - and their teachers - will welcome this book.

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90折

263.

A Primer of Nonlinear Analysis

作者：Antonio Ambrosetti 出版社：Cambridge Univ Pr 出版日：1995/03/09 裝訂：平裝

This is an introduction to nonlinear functional analysis, in particular to those methods based on differential calculus in Banach spaces. It is in two parts; the first deals with the geometry of Banach spaces and includes a discussion of local and global inversion theorems for differentiable mappings. In the second part, the authors are more concerned with bifurcation theory, including the Hopf bifurcation. They include plenty of motivational and illustrative applications, which indeed provide much of the justification of nonlinear analysis. In particular, they discuss bifurcation problems arising from such areas as mechanics and fluid dynamics. The book is intended to accompany upper division courses for students of pure and applied mathematics and physics; exercises are consequently included.

定價：2599 元，優惠價：9 2339

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An Introduction to Financial Option Valuation：Mathematics, Stochastics and Computation

90折

264.

An Introduction to Financial Option Valuation：Mathematics, Stochastics and Computation

作者：Desmond J. Higham 出版社：Cambridge Univ Pr 出版日：2004/04/15 裝訂：平裝

This is a lively textbook providing a solid introduction to financial option valuation for undergraduate students armed with a working knowledge of a first year calculus. Written in a series of short chapters, its self-contained treatment gives equal weight to applied mathematics, stochastics and computational algorithms. No prior background in probability, statistics or numerical analysis is required. Detailed derivations of both the basic asset price model and the Black–Scholes equation are provided along with a presentation of appropriate computational techniques including binomial, finite differences and in particular, variance reduction techniques for the Monte Carlo method. Each chapter comes complete with accompanying stand-alone MATLAB code listing to illustrate a key idea. Furthermore, the author has made heavy use of figures and examples, and has included computations based on real stock market data.

定價：2794 元，優惠價：9 2515

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90折

265.

The Economics of Input-Output Analysis

作者：Thijs ten Raa 出版社：Cambridge Univ Pr 出版日：2006/01/19 裝訂：平裝

Input-output analysis is the main tool of applied equilibrium analysis. This textbook provides a systematic survey of the most recent developments in input-output analysis and their applications, helping us to examine questions such as: which industries are competitive? What are the multiplier effects of an investment program? How do environmental restrictions impact on prices? Linear programming and national accounting are introduced and used to resolve issues such as the choice of technique, the comparative advantage of a national economy, its efficiency and dynamic performance. Technological and environmental spillovers are analysed, both at the national level (between industries) and the international level (the measurement of globalisation effects). The book is self-contained, but assumes some familiarity with calculus, matrix algebra, and the microeconomic principle of optimizing behaviour. Exercises and review questions are included at the end of each chapter, and solutions at t

定價：2404 元，優惠價：9 2164

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266.

Partial Differential Equation Methods for Image Inpainting

作者：Carola-Bibiane Schönlieb 出版社：Cambridge Univ Pr 出版日：2015/10/31 裝訂：精裝

This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image 'inpainting', an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDEs to automate this task. This book introduces the mathematical concept of PDEs for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real-world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate studen

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267.

Elementary Classical Analysis

作者：Jerrold E. Marsden; Michael J. Hoffman 出版社：W H Freeman & Co 出版日：1993/04/01 裝訂：平裝

Designed for courses in advanced calculus and introductory real analysis, Elementary Classical Analysis strikes a careful balance between pure and applied mathematics with an emphasis on specific tec

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268.

Probability With Applications in Engineering, Science, and Technology ― Revised and Updated

作者：Matthew A. Carlton; Jay L. Devore 出版社：Springer Verlag 出版日：2017/04/07 裝訂：平裝

This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable b

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269.

Markov Processes

作者：James R. Kirkwood 出版社：Taylor & Francis 出版日：2015/02/20 裝訂：精裝

This text fills a niche between a calculus-based probability course and a stochastic processes course typically taken by upper undergraduate students. While Markov processes are touched on in probabil

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Basic Concepts of Probability and Statistics

滿額折

270.

Basic Concepts of Probability and Statistics

作者：J. L. Hodges ; E. L. Lehmann 出版社：Cambridge University Press 出版日：2004/12/01 裝訂：平裝

This is a thorough introduction to fundamental ideas in modern statistics for readers without a calculus background. The only book at this level to discuss modern concepts of hypothesis testing and es

定價：3105 元，優惠價：9 2795

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271.

A Comprehensive Introduction to Sub-riemannian Geometry

作者：Andrei Agrachev 出版社：Cambridge Univ Pr 出版日：2019/12/31 裝訂：精裝

Sub-Riemannian geometry is the geometry of a world with nonholonomic constraints. In such a world, one can move, send and receive information only in certain admissible directions but eventually can reach every position from any other. In the last two decades sub-Riemannian geometry has emerged as an independent research domain impacting on several areas of pure and applied mathematics, with applications to many areas such as quantum control, Hamiltonian dynamics, robotics and Lie theory. This comprehensive introduction proceeds from classical topics to cutting-edge theory and applications, assuming only standard knowledge of calculus, linear algebra and differential equations. The book may serve as a basis for an introductory course in Riemannian geometry or an advanced course in sub-Riemannian geometry, covering elements of Hamiltonian dynamics, integrable systems and Lie theory. It will also be a valuable reference source for researchers in various disciplines.

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Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2 ─ Inference

Mathematical Methods in Electrical Engineering

A Primer of Nonlinear Analysis

An Introduction to Financial Option Valuation：Mathematics, Stochastics and Computation

The Economics of Input-Output Analysis

Partial Differential Equation Methods for Image Inpainting

Elementary Classical Analysis

Probability With Applications in Engineering, Science, and Technology ― Revised and Updated

Markov Processes

Basic Concepts of Probability and Statistics

A Comprehensive Introduction to Sub-riemannian Geometry