電機機械精釋 (7版)

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書名：進修、教學：電機機械精釋 子敬 作者：子敬 出版社：超級科技 出版日期：2015/05/01 ISBN：9789579831208 內容簡介 本書兼具教學及進修的功能，內容著重觀念的建立、理論的探討及問題的解析。

Classical Mechanics Systems of Particles and Hamiltonian Dynamics 2003 (1版)

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(特價700)Classical Mechanics Systems of Particles and Hamiltonian Dynamics 2003 <SV> 0-387-95128-8 W.GREINER 9780387951287

CLASSICAL DYNAMICS OF PARTICLES AND SYSTEMS (5版)

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書名：CLASSICAL DYNAMICS OF PARTICLES AND SYSTEMS 5/E(IE) 作者：THORNTON 出版社：Cengage 出版日期：2007/11/00 ISBN：9780495556107 目錄 1. Matrices, Vectors, and Vector Calculus. 2. Newtonian Mechanics--Single Particle. 3. Oscillations. 4. Nonlinear Oscillations and Chaos. 5. Gravitation. 6. Some Methods in the Calculus of Variations. 7. Hamilton''s Principle--Lagrangian and Hamiltonian Dynamics. 8. Central-Force Motion. 9. Dynamics of a System of Particles. 10. Motion in a Noninertial Reference Frame. 11. Dynamics of Rigid Bodies. 12. Coupled Oscillations. 13. Continuous Systems: Waves. 14. Special Theory of Relativity. Appendices. Selected References. Bibliography. Answers to Even-Numbered Problems.

Modern Take on Physics, a - Volume 2: Classical and Quantum Field Theory (1版)

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【簡介】 These two volumes cover the classical topics typically taught in undergraduate physics courses and beyond. However, we teach classical physics using a very different language from traditional books, influenced by the language of modern physics, in a move to encourage a positive approach towards the latter subject. Based around the unifying concept of energy, we take a distinct approach to the organisation of material, presenting physics in a cohesive manner without separating topics such as mechanics, kinematics, thermodynamics, electricity, and magnetism. Instead, physics is revealed gradually, emphasising a holistic approach to science. Despite this peculiarity, we have maintained the conventional separation between Physics I and II to assist teachers in smoothly integrating these books into their courses.These innovative volumes present valuable new perspectives. Although their approach is bold, they will certainly prompt interesting reflections on traditional teachings. A significant portion of this second volume is committed to modern physics, including an introduction to the standard model of fundamental interactions. The old quantum mechanics is largely excluded in favour of quantum field theory, which we present in a manner accessible to undergraduate students.

CLASSICAL AND MODERN OPTIMIZATION

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The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains active today, particularly in the development of machine learning. Classical and Modern Optimization presents a self-contained overview of classical and modern ideas and methods in approaching optimization problems. The approach is rich and flexible enough to address smooth and non-smooth, convex and non-convex, finite or infinite-dimensional, static or dynamic situations. The first chapters of the book are devoted to the classical toolbox: topology and functional analysis, differential calculus, convex analysis and necessary conditions for differentiable constrained optimization. The remaining chapters are dedicated to more specialized topics and applications. Valuable to a wide audience, including students in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or for anyone teaching a third- or fourth-year optimization class. Sample Chapter(s) Preface Chapter 1: Topological and Functional Analytic Preliminaries Request Inspection Copy Contents: Topological and Functional Analytic Preliminaries: Metric Spaces Normed Vector Spaces Banach Spaces Hilbert Spaces Weak Convergence On the Existence and Generic Uniqueness of Minimizers Exercises Differential Calculus: First-Order Differential Calculus Second-Order Differential Calculus The Inverse Function and Implicit Function Theorems Smooth Functions on ℝd, Regularization, Integration by Parts Exercises Convexity: Hahn–Banach Theorems Convex Sets Convex Functions The Legendre Transform Exercises Optimality Conditions for Differentiable Optimization: Unconstrained Optimization Equality Constraints Equality and Inequality Constraints Exercises Problems Depending on a Parameter: Setting and Examples Continuous Dependence Parameter-Independent Constraints, Envelope Theorems Parameter-Dependent Constraints Discrete-Time Dynamic Programming Exercises Convex Duality and Applications: Generalities Convex Duality with Respect to a Perturbation Applications On the Optimal Transport Problem Exercises Iterative Methods for Convex Minimization: On Newton's Method The Gradient Method The Proximal Point Method Splitting Methods Exercises When Optimization and Data Meet: Principal Component Analysis Minimization for Linear Systems Classification Exercises An Invitation to the Calculus of Variations: Preliminaries On Integral Functionals The Direct Method Euler–Lagrange Equations and Other Necessary Conditions A Focus on the Case d = 1 Exercises Readership: Thought-leaders, executives, industry strategists, research scientists, graduate students, advanced undergraduate students, policy-makers, research funding agencies, private research institutions, government regulators, investors, corporate managers, purchasing agents, and entrepreneurs in the areas of computer science, quantum computing, information theory, neuroscience, and physics.

Classical and Quantum Statistical Physics

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Statistical physics examines the collective properties of large ensembles of particles, and is a powerful theoretical tool with important applications across many different scientific disciplines. This book provides a detailed introduction to classical and quantum statistical physics, including links to topics at the frontiers of current research. The first part of the book introduces classical ensembles, provides an extensive review of quantum mechanics, and explains how their combination leads directly to the theory of Bose and Fermi gases. This allows a detailed analysis of the quantum properties of matter, and introduces the exotic features of vacuum fluctuations. The second part discusses more advanced topics such as the two-dimensional Ising model and quantum spin chains. This modern text is ideal for advanced undergraduate and graduate students interested in the role of statistical physics in current research. 140 homework problems reinforce key concepts and further develop readers' understanding of the subject.