AN INTRODUCTION TO CONTROL SYSTEMS (2版)
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This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks.
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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.
原價:
1240
售價:
1178
現省:
62元
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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
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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.
原價:
2060
售價:
1957
現省:
103元
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